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@incollection{abeyasekeraMultivariateMethodsIndex2005,
title = {Multivariate Methods for Index Construction},
booktitle = {Household {{Sample Surveys}} in {{Developing}} and {{Transition Countries}}},
author = {Abeyasekera, Savitri},
year = {2005},
pages = {367--387},
publisher = {{United Nations}},
address = {{New York, NY}}
}
@book{agrestiIntroductionCategoricalData2007,
title = {An Introduction to Categorical Data Analysis},
author = {Agresti, Alan},
year = {2007},
edition = {2nd},
publisher = {{Wiley-Interscience}},
address = {{Hoboken, NJ}},
isbn = {978-0-471-22618-5},
lccn = {QA278 .A355 2007}
}
@article{alemanComparingCosponsorshipRollCall2009,
title = {Comparing {{Cosponsorship}} and {{Roll}}-{{Call Ideal Points}}},
author = {Alem{\'a}n, Eduardo and Calvo, Ernesto and Jones, Mark P. and Kaplan, Noah},
year = {2009},
month = feb,
volume = {34},
pages = {87--116},
issn = {03629805},
doi = {10.3162/036298009787500358},
url = {http://doi.wiley.com/10.3162/036298009787500358},
urldate = {2020-02-12},
journal = {Legislative Studies Quarterly},
language = {en},
number = {1}
}
@book{allisonEventHistorySurvival2014,
title = {Event History and Survival Analysis},
author = {Allison, Paul David},
year = {2014},
edition = {2nd},
publisher = {{SAGE}},
address = {{Thousand Oaks, CA}},
abstract = {Social scientists are interested in events and their causes. Although even histories are ideal for studying the causes of events, they typically possess two features--censoring and time-varying explanatory variables--that create major problems for standard statistical procedures. Several innovative approaches have been developed to accommodate these two peculiarities of event history data. This volume surveys these methods, concentrating on the approaches that are most useful to the social sciences. In particular, Paul D. Allison focuses on regression methods in which the occurrence of events is dependent on one or more explanatory variables. He gives attention to the statistical models that form the basis of event history analysis, and also to practical concerns such as data management, cost, and useful computer software.--From publisher's description},
isbn = {978-1-4129-9770-6},
lccn = {H61 .A575 2014}
}
@book{altmanCitizenshipContemporaryDirect2019,
title = {Citizenship and Contemporary Direct Democracy},
author = {Altman, David},
year = {2019},
publisher = {{Cambridge University Press}},
address = {{Cambridge}},
abstract = {"Standing out from all other books on direct democracy, Citizenship and Contemporary Direct Democracy connects the study of direct democracy to the broader field of comparative democratization and to an important strand in normative democratic theory. Analyzing the relationship between direct democracy and representative government, this book is organized around three main sections: the origins of contemporary direct democracy, its' functioning, and the ways to improve the use of direct democracy and its abuse. David Altman argues that citizen-initiated mechanisms of direct democracy constitute an important and viable way to reinvigorate current representative regimes by strengthening democracies' normative foundations--freedom and equity among citizens--which are particularly fragile in the context of unequal societies. Citizenship and Contemporary Direct Democracy demonstrates how citizen-initiated mechanisms of direct democracy empowers citizens, channels social demands, defuses violence, re-enchants citizens with politics, and breaks through some of the institutionalized barriers to accountability that arise in representative systems"--},
isbn = {978-1-108-49663-6 978-1-108-72177-6},
lccn = {JC423 .A5164 2019}
}
@book{amorimnetoDutraLulaConducao2012,
title = {De {{Dutra}} a {{Lula}}: A Condu{\c c}{\~a}o e Os Determinantes Da Pol{\'i}tica Externa Brasileira},
shorttitle = {De {{Dutra}} a {{Lula}}},
author = {Amorim Neto, Octavio},
year = {2012},
publisher = {{Elsevier / Konrad Adenauer Stiftung / Campus}},
address = {{Rio de Janeiro}},
isbn = {978-85-352-4461-8},
lccn = {F2523 .A47 2012}
}
@book{angristMostlyHarmlessEconometrics2008,
title = {Mostly {{Harmless Econometrics}}: {{An Empiricist}}'s {{Companion}}},
shorttitle = {Mostly {{Harmless Econometrics}}},
author = {Angrist, Joshua D. and Pischke, J{\"o}rn-Steffen},
year = {2008},
month = dec,
publisher = {{Princeton University Press}},
address = {{Princeton, NJ}},
abstract = {The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak. In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and J{\"o}rn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science. An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications},
isbn = {978-1-4008-2982-8},
language = {en}
}
@article{anselinLocalIndicatorsSpatial1995,
title = {Local {{Indicators}} of {{Spatial Association}}-{{LISA}}},
author = {Anselin, Luc},
year = {1995},
volume = {27},
pages = {93--115},
issn = {00167363},
doi = {10.1111/j.1538-4632.1995.tb00338.x},
url = {http://doi.wiley.com/10.1111/j.1538-4632.1995.tb00338.x},
urldate = {2020-02-18},
journal = {Geographical Analysis},
language = {en},
number = {2}
}
@article{baileyImplementingPanelCorrectedStandard2011,
title = {Implementing {{Panel}}-{{Corrected Standard Errors}} in {{R}}: {{The}} Pcse {{Package}}},
shorttitle = {Implementing {{Panel}}-{{Corrected Standard Errors}} in {{R}}},
author = {Bailey, Delia and Katz, Jonathan N.},
year = {2011},
month = jun,
volume = {42},
pages = {1--11},
issn = {1548-7660},
doi = {10.18637/jss.v042.c01},
url = {https://www.jstatsoft.org/index.php/jss/article/view/v042c01},
urldate = {2020-02-18},
copyright = {Copyright (c) 2007 Delia Bailey, Jonathan N. Katz},
file = {/home/andres/Zotero/storage/HIECM9L2/Bailey_Katz_2011_Implementing Panel-Corrected Standard Errors in R.pdf},
journal = {Journal of Statistical Software},
language = {en},
number = {1}
}
@article{barberaBirdsSameFeather2015,
title = {Birds of the {{Same Feather Tweet Together}}: {{Bayesian Ideal Point Estimation Using Twitter Data}}},
shorttitle = {Birds of the {{Same Feather Tweet Together}}},
author = {Barber{\'a}, Pablo},
year = {2015},
volume = {23},
pages = {76--91},
issn = {1047-1987, 1476-4989},
doi = {10.1093/pan/mpu011},
url = {https://www-cambridge-org.ezproxy.puc.cl/core/journals/political-analysis/article/birds-of-the-same-feather-tweet-together-bayesian-ideal-point-estimation-using-twitter-data/91E37205F69AEA32EF27F12563DC2A0A},
urldate = {2018-03-19},
abstract = {Politicians and citizens increasingly engage in political conversations on social media outlets such as Twitter. In this article, I show that the structure of the social networks in which they are embedded can be a source of information about their ideological positions. Under the assumption that social networks are homophilic, I develop a Bayesian Spatial Following model that considers ideology as a latent variable, whose value can be inferred by examining which politics actors each user is following. This method allows us to estimate ideology for more actors than any existing alternative, at any point in time and across many polities. I apply this method to estimate ideal points for a large sample of both elite and mass public Twitter users in the United States and five European countries. The estimated positions of legislators and political parties replicate conventional measures of ideology. The method is also able to successfully classify individuals who state their political preferences publicly and a sample of users matched with their party registration records. To illustrate the potential contribution of these estimates, I examine the extent to which online behavior during the 2012 US presidential election campaign is clustered along ideological lines.},
file = {/home/andres/Zotero/storage/CSGLA95L/Barbera_2015_Birds of the Same Feather Tweet Together.pdf},
journal = {Political Analysis},
language = {en},
number = {1}
}
@article{beckModelingDynamicsTimeSeries2011,
title = {Modeling {{Dynamics}} in {{Time}}-{{Series}}\textendash{{Cross}}-{{Section Political Economy Data}}},
author = {Beck, Nathaniel and Katz, Jonathan N.},
year = {2011},
month = jun,
volume = {14},
pages = {331--352},
issn = {1094-2939, 1545-1577},
doi = {10.1146/annurev-polisci-071510-103222},
url = {http://www.annualreviews.org/doi/10.1146/annurev-polisci-071510-103222},
urldate = {2020-02-18},
file = {/home/andres/Zotero/storage/TXL9GXSD/Beck_Katz_2011_Modeling Dynamics in Time-Series–Cross-Section Political Economy Data.pdf},
journal = {Annual Review of Political Science},
language = {en},
number = {1}
}
@article{beckTimeSeriesCrossSectionDataWhat2001,
title = {Time-{{Series}}-{{Cross}}-{{Section Data}} : {{What Have We Learned}} in the {{Past Few Years}}?},
author = {Beck, Nathaniel},
year = {2001},
month = jun,
volume = {4},
pages = {271--293},
issn = {1094-2939, 1545-1577},
doi = {10.1146/annurev.polisci.4.1.271},
url = {http://www.annualreviews.org/doi/10.1146/annurev.polisci.4.1.271},
urldate = {2020-02-18},
file = {/home/andres/Zotero/storage/GICRXGVT/Beck_2001_T span style=font-variant.pdf},
journal = {Annual Review of Political Science},
language = {en},
number = {1}
}
@incollection{beckTimeseriesCrosssectionMethods2008,
title = {Time-Series {{Cross}}-Section {{Methods}}},
booktitle = {The {{Oxford Handbook}} of {{Political Methodology}}},
author = {Beck, Nathaniel},
editor = {{Box-Steffensmeier}, Janet M. and Brady, Henry E. and Collier, David},
year = {2008},
pages = {475--493},
publisher = {{Oxford University Press}},
address = {{Oxford}},
language = {en}
}
@article{beckWhatNotTimeSeries1995,
title = {What {{To Do}} (and {{Not}} to {{Do}}) with {{Time}}-{{Series Cross}}-{{Section Data}}},
author = {Beck, Nathaniel and Katz, Jonathan N.},
year = {1995},
month = sep,
volume = {89},
pages = {634--647},
issn = {0003-0554, 1537-5943},
doi = {10.2307/2082979},
url = {https://www.cambridge.org/core/product/identifier/S0003055400000083/type/journal_article},
urldate = {2020-02-18},
abstract = {We examine some issues in the estimation of time-series cross-section models, calling into question the conclusions of many published studies, particularly in the field of comparative political economy. We show that the generalized least squares approach of Parks produces standard errors that lead to extreme overconfidence, often underestimating variability by 50\% or more. We also provide an alternative estimator of the standard errors that is correct when the error structures show complications found in this type of model. Monte Carlo analysis shows that these ``panel-corrected standard errors'' perform well. The utility of our approach is demonstrated via a reanalysis of one ``social democratic corporatist'' model.},
journal = {American Political Science Review},
language = {en},
number = {3}
}
@article{berryTestingInteractionBinary2010,
title = {Testing for {{Interaction}} in {{Binary Logit}} and {{Probit Models}}: {{Is}} a {{Product Term Essential}}?},
shorttitle = {Testing for {{Interaction}} in {{Binary Logit}} and {{Probit Models}}},
author = {Berry, William D. and DeMeritt, Jacqueline H. R. and Esarey, Justin},
year = {2010},
month = jan,
volume = {54},
pages = {248--266},
issn = {00925853, 15405907},
doi = {10.1111/j.1540-5907.2009.00429.x},
url = {http://doi.wiley.com/10.1111/j.1540-5907.2009.00429.x},
urldate = {2020-02-18},
journal = {American Journal of Political Science},
language = {en},
number = {1}
}
@book{bivandAppliedSpatialData2013,
title = {Applied {{Spatial Data Analysis}} with {{R}}},
author = {Bivand, Roger S. and Pebesma, Edzer and {G{\'o}mez-Rubio}, Virgilio},
year = {2013},
edition = {2nd},
publisher = {{Springer}},
address = {{New York, NY}},
url = {https://www.springer.com/gp/book/9781461476177},
urldate = {2020-02-18},
abstract = {Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.},
isbn = {978-1-4614-7617-7},
language = {en}
}
@article{bleiLatentDirichletAllocation2003,
title = {Latent {{Dirichlet Allocation}}},
author = {Blei, David M. and Ng, Andrew Y. and Jordan, Michael I.},
year = {2003},
volume = {3},
pages = {993--1022},
issn = {ISSN 1533-7928},
url = {http://www.jmlr.org/papers/v3/blei03a},
urldate = {2020-02-12},
file = {/home/andres/Zotero/storage/YDUWFN3X/Blei et al_2003_Latent Dirichlet Allocation.pdf},
journal = {Journal of Machine Learning Research},
number = {Jan}
}
@book{box-steffensmeierEventHistoryModeling2004,
title = {Event History Modeling: A Guide for Social Scientists},
shorttitle = {Event History Modeling},
author = {{Box-Steffensmeier}, Janet M. and Jones, Bradford S.},
year = {2004},
publisher = {{Cambridge University Press}},
address = {{Cambridge}},
isbn = {978-0-521-83767-5 978-0-521-54673-7},
lccn = {H61 .B6366 2004}
}
@article{bramborUnderstandingInteractionModels2006,
title = {Understanding {{Interaction Models}}: {{Improving Empirical Analyses}}},
shorttitle = {Understanding {{Interaction Models}}},
author = {Brambor, Thomas and Clark, William Roberts and Golder, Matt},
year = {2006},
volume = {14},
pages = {63--82},
issn = {1047-1987},
url = {https://www.jstor.org/stable/25791835},
urldate = {2020-02-18},
abstract = {Multiplicative interaction models are common in the quantitative political science literature. This is so for good reason. Institutional arguments frequently imply that the relationship between political inputs and outcomes varies depending on the institutional context. Models of strategic interaction typically produce conditional hypotheses as well. Although conditional hypotheses are ubiquitous in political science and multiplicative interaction models have been found to capture their intuition quite well, a survey of the top three political science journals from 1998 to 2002 suggests that the execution of these models is often flawed and inferential errors are common. We believe that considerable progress in our understanding of the political world can occur if scholars follow the simple checklist of dos and don'ts for using multiplicative interaction models presented in this article. Only 10\% of the articles in our survey followed the checklist.},
journal = {Political Analysis},
number = {1}
}
@book{brostromEventHistoryAnalysis2012,
title = {Event History Analysis with {{R}}},
author = {Brostr{\"o}m, G{\"o}ran},
year = {2012},
publisher = {{CRC Press}},
address = {{Boca Raton, FL}},
isbn = {978-1-4398-3164-9 978-1-4398-3167-0},
lccn = {001.422}
}
@book{brunsdonIntroductionSpatialAnalysis2015,
title = {An {{Introduction}} to {{R}} for {{Spatial Analysis}} and {{Mapping}}},
author = {Brunsdon, Chris and Comber, Lex},
year = {2015},
month = feb,
publisher = {{SAGE}},
address = {{Thousand Oaks, CA}},
abstract = {"In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old statistical methods using {${'}$}out of the box{${'}$} software. They need to have 21st-century analytical skills too. This is an excellent and student-friendly text from two of the world leaders in the teaching and development of spatial analysis. It shows clearly why the open source software R is not just an alternative to commercial GIS, it may actually be the better choice for mapping, analysis and for replicable research. Providing practical tips as well as fully working code, this is a practical {${'}$}how to{${'}$} guide ideal for undergraduates as well as those using R for the first time. It will be required reading on my own courses." - Richard Harris, Professor of Quantitative Social Science, University of Bristol R is a powerful open source computing tool that supports geographical analysis and mapping for the many geography and `non-geography' students and researchers interested in spatial analysis and mapping. This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and the analysis of geographical information for researchers collecting and using data with location attached, largely through increased GPS functionality. Brunsdon and Comber take readers from `zero to hero' in spatial analysis and mapping through functions they have developed and compiled into R packages. This enables practical R applications in GIS, spatial analyses, spatial statistics, mapping, and web-scraping. Each chapter includes: Example data and commands for exploring it Scripts and coding to exemplify specific functionality Advice for developing greater understanding - through functions such as locator(), View(), and alternative coding to achieve the same ends Self-contained exercises for students to work through Embedded code within the descriptive text. ~This is a definitive {${'}$}how to{${'}$} that takes students - of any discipline - from coding to actual applications and uses of R.},
isbn = {978-1-4462-7295-4},
language = {English}
}
@incollection{bryantAssessingValidityMeasurement2000,
title = {Assessing the {{Validity}} of {{Measurement}}},
booktitle = {Reading and Understanding {{MORE}} Multivariate Statistics},
author = {Bryant, Fred B.},
editor = {Grimm, Laurence G. and Yarnold, Paul R.},
year = {2000},
pages = {99--146},
publisher = {{American Psychological Association}},
address = {{Washington, DC}},
isbn = {978-1-55798-698-6}
}
@book{calvoAnatomiaPoliticaTwitter2015,
title = {Anatom{\'i}a Pol{\'i}tica de {{Twitter}} En {{Argentina}}: Tuiteando \#{{Nisman}}},
shorttitle = {Anatom{\'i}a Pol{\'i}tica de {{Twitter}} En {{Argentina}}},
author = {Calvo, Ernesto},
year = {2015},
publisher = {{Capital Intelectual}},
address = {{Buenos Aires, Argentina}},
isbn = {978-987-614-486-5},
lccn = {JL2081 .C36 2015}
}
@article{calvoTarifazoMediosTradicionales2018,
title = {{\#Tarifazo. Medios tradicionales y fusi{\'o}n de agenda en redes sociales}},
author = {Calvo, Ernesto and Aruguete, Natalia},
year = {2018},
month = jul,
volume = {13},
pages = {189--213},
issn = {1688-8626},
doi = {10.18861/ic.2018.13.1.2831},
url = {https://revistas.ort.edu.uy/inmediaciones-de-la-comunicacion/article/view/2831},
urldate = {2018-09-03},
abstract = {En este art{\'i}culo analizamos la relaci{\'o}n entre medios tra\-dicionales, redes sociales y establecimiento de agenda. El modelo de fusi{\'o}n de agendas es consistente con la conformaci{\'o}n de burbujas de informaci{\'o}n, aunque no logra explicar c{\'o}mo se configura la agenda cuando los usuarios pueden activamente publicar y propagar con\-tenidos que les interesan. Nuestro modelo indaga sobre la decisi{\'o}n de los usuarios de promover contenidos con los cuales tienen afinidad cognitiva, en base a la red del \#Tarifazo argentino. Medimos la propensi{\'o}n de los usua\-rios virtuales a difundir contenidos consistentes con sus creencias pol{\'i}ticas, y enlaces a medios tradicionales y no tradicionales, y el tiempo que demoraron en retuitear un mensaje (latencia) en funci{\'o}n de los links a medios tra\-dicionales incluidos en dichos posteos. Los hallazgos al\-canzados indican que los mensajes se propagan con dis\-tinta velocidad en la red, dependiendo de la congruencia o disonancia cognitiva existente entre usuarios y de estos para con los mensajes publicados. Concluimos que las comunidades de usuarios construyen agendas colecti\-vas y limitan, de esta forma, la capacidad de los medios masivos de establecer la agenda p{\'u}blica de manera gene\-ralizada y homog{\'e}nea.},
copyright = {Copyright (c) 2018 InMediaciones de la Comunicaci{\'o}n},
file = {/home/andres/Zotero/storage/Y779HM2I/Calvo_Aruguete_2018_#Tarifazo.pdf},
journal = {InMediaciones de la Comunicaci{\'o}n},
language = {es},
number = {1}
}
@article{ceronIntrapartyPolitics1402017,
title = {Intra-Party Politics in 140 Characters},
author = {Ceron, Andrea},
year = {2017},
month = jan,
volume = {23},
pages = {7--17},
issn = {1354-0688},
doi = {10.1177/1354068816654325},
url = {https://doi.org/10.1177/1354068816654325},
urldate = {2018-03-19},
abstract = {Scholars have emphasized the need to deepen investigation of intraparty politics. Recent studies look at social media as a source of information on the ideological preferences of politicians and political actors. In this regard, the present article tests whether social media messages published by politicians are a suitable source of data. It applies quantitative text analysis to the public statements released by politicians on social media in order to measure intraparty heterogeneity and assess its effects. Three different applications to the Italian case are discussed. Indeed, the content of messages posted online is informative on the ideological preferences of politicians and proved to be useful to understand intraparty dynamics. Intraparty divergences measured through social media analysis explain: (a) a politician's choice to endorse one or another party leader, (b) a politician's likelihood to switch off from his or her parliamentary party group; and (c) a politician's probability to be appointed as a minister.},
file = {/home/andres/Zotero/storage/F9SKQB83/Ceron_2017_Intra-party politics in 140 characters.pdf},
journal = {Party Politics},
language = {en},
number = {1}
}
@article{chanTherePowerTransition2005,
title = {Is {{There}} a {{Power Transition}} between the {{U}}.{{S}}. and {{China}}? {{The Different Faces}} of {{National Power}}},
shorttitle = {Is {{There}} a {{Power Transition}} between the {{U}}.{{S}}. and {{China}}?},
author = {Chan, Steve},
year = {2005},
month = oct,
volume = {45},
pages = {687--701},
issn = {0004-4687, 1533-838X},
doi = {10.1525/as.2005.45.5.687},
url = {https://as.ucpress.edu/content/45/5/687},
urldate = {2020-02-11},
abstract = {Skip to Next Section
Is China about to overtake the United States? Although China scores high on most traditional measures of national power, it continues to perform poorly in information technology and human capital, important assets that are necessary to promote productivity and sustain affluence in modern economies.},
copyright = {\textcopyright\textcopyright{} 2005 by The Regents of the University of California. All rights reserved.},
journal = {Asian Survey},
language = {en},
number = {5}
}
@article{clarkShouldUseFixed2015,
title = {Should {{I Use Fixed}} or {{Random Effects}}?},
author = {Clark, Tom S. and Linzer, Drew A.},
year = {2015},
month = may,
volume = {3},
pages = {399--408},
issn = {2049-8470, 2049-8489},
doi = {10.1017/psrm.2014.32},
url = {https://www.cambridge.org/core/product/identifier/S2049847014000326/type/journal_article},
urldate = {2020-02-18},
abstract = {Empirical analyses in social science frequently confront quantitative data that are clustered or grouped. To account for group-level variation and improve model fit, researchers will commonly specify either a fixed- or random-effects model. But current advice on which approach should be preferred, and under what conditions, remains vague and sometimes contradictory. This study performs a series of Monte Carlo simulations to evaluate the total error due to bias and variance in the inferences of each model, for typical sizes and types of datasets encountered in applied research. The results offer a typology of dataset characteristics to help researchers choose a preferred model.},
journal = {Political Science Research and Methods},
language = {en},
number = {2}
}
@incollection{collierTypologiesFormingConcepts2008,
title = {Typologies: {{Forming}} Concepts and Creating Categorical Variables},
booktitle = {The {{Oxford Handbook}} of {{Political Methodology}}},
author = {Collier, David and Laporte, Jody and Seawright, Jason},
editor = {{Box-Steffensmeier}, Janet M. and Brady, Henry E. and Collier, David},
year = {2008},
pages = {152--173},
publisher = {{Oxford University Press}},
address = {{Oxford}},
language = {en}
}
@book{croissantPanelDataEconometrics2018,
title = {Panel Data Econometrics with {{R}}},
author = {Croissant, Yves and Millo, Giovanni},
year = {2018},
publisher = {{John Wiley \& Sons}},
address = {{Hoboken, NJ}},
isbn = {978-1-118-94917-7 978-1-118-94918-4},
lccn = {HB139}
}
@book{dunningNaturalExperimentsSocial2012,
title = {Natural {{Experiments}} in the {{Social Sciences}}: {{A Design}}-{{Based Approach}}},
shorttitle = {Natural {{Experiments}} in the {{Social Sciences}}},
author = {Dunning, Thad},
year = {2012},
month = sep,
publisher = {{Cambridge University Press}},
address = {{Cambridge}},
abstract = {This unique book is the first comprehensive guide to the discovery, analysis, and evaluation of natural experiments - an increasingly popular methodology in the social sciences. Thad Dunning provides an introduction to key issues in causal inference, including model specification, and emphasizes the importance of strong research design over complex statistical analysis. Surveying many examples of standard natural experiments, regression-discontinuity designs, and instrumental-variables designs, Dunning highlights both the strengths and potential weaknesses of these methods, aiding researchers in better harnessing the promise of natural experiments while avoiding the pitfalls. Dunning also demonstrates the contribution of qualitative methods to natural experiments and proposes new ways to integrate qualitative and quantitative techniques. Chapters complete with exercises, and appendices covering specialized topics such as cluster-randomized natural experiments, make this an ideal teaching tool as well as a valuable book for professional researchers.},
isbn = {978-1-107-01766-5},
language = {en}
}
@article{fowlerConnectingCongressStudy2006,
title = {Connecting the {{Congress}}: {{A Study}} of {{Cosponsorship Networks}}},
shorttitle = {Connecting the {{Congress}}},
author = {Fowler, James H.},
year = {2006},
volume = {14},
pages = {456--487},
issn = {1047-1987, 1476-4989},
doi = {10.1093/pan/mpl002},
url = {https://www.cambridge.org/core/product/identifier/S1047198700006306/type/journal_article},
urldate = {2020-02-18},
abstract = {Using large-scale network analysis I map the cosponsorship networks of all 280,000 pieces of legislation proposed in the U.S. House and Senate from 1973 to 2004. In these networks, a directional link can be drawn from each cosponsor of a piece of legislation to its sponsor. I use a number of statistics to describe these networks such as the quantity of legislation sponsored and cosponsored by each legislator, the number of legislators cosponsoring each piece of legislation, the total number of legislators who have cosponsored bills written by a given legislator, and network measures of closeness, betweenness, and eigenvector centrality. I then introduce a new measure I call ``connectedness'' which uses information about the frequency of cosponsorship and the number of cosponsors on each bill to make inferences about the social distance between legislators. Connectedness predicts which members will pass more amendments on the floor, a measure that is commonly used as a proxy for legislative influence. It also predicts roll call vote choice even after controlling for ideology and partisanship.},
file = {/home/andres/Zotero/storage/DXWDN5BG/Fowler_2006_Connecting the Congress.pdf},
journal = {Political Analysis},
language = {en},
number = {4}
}
@techreport{freireDeathsDisappearancesPinochet2019,
title = {Deaths and {{Disappearances}} in the {{Pinochet Regime}}: {{A New Dataset}}},
shorttitle = {Deaths and {{Disappearances}} in the {{Pinochet Regime}}},
author = {Freire, Danilo and Skarbek, David and Meadowcroft, John and Guerrero, Eugenia},
year = {2019},
month = may,
institution = {{SocArXiv}},
url = {https://osf.io/vqnwu},
urldate = {2020-02-18},
abstract = {This article presents a georeferenced dataset on human rights violations in the Pinochet dictatorship in Chile. We coded the personal details of 2,398 victims named in the Chilean Truth Commission Report and added geographical coordinates for all identifiable atrocity locations. The dataset comprises 59 variables from 1973 to 1990 and is available as a stand-alone spreadsheet or as the `pinochet` package for `R`. As examples, we describe the major temporal and spatial patterns of the human rights abuses. We also discuss our coding procedures, show descriptive statistics, and conclude with suggestions for potential applications of the dataset.},
file = {/home/andres/Zotero/storage/2G37I59W/Freire et al_2019_Deaths and Disappearances in the Pinochet Regime.pdf},
type = {Preprint}
}
@article{freireEvaluatingEffectHomicide2018,
title = {Evaluating the {{Effect}} of {{Homicide Prevention Strategies}} in {{S{\~a}o Paulo}}, {{Brazil}}: {{A Synthetic Control Approach}}},
shorttitle = {Evaluating the {{Effect}} of {{Homicide Prevention Strategies}} in {{S{\~a}o Paulo}}, {{Brazil}}},
author = {Freire, Danilo},
year = {2018},
month = jun,
volume = {53},
pages = {231},
issn = {1542-4278, 0023-8791},
doi = {10.25222/larr.334},
url = {https://larrlasa.org/article/10.25222/larr.334/},
urldate = {2020-02-18},
file = {/home/andres/Zotero/storage/3E4BAP4W/Freire_2018_Evaluating the Effect of Homicide Prevention Strategies in Sao Paulo, Brazil.pdf},
journal = {Latin American Research Review},
number = {2}
}
@article{fruchtermanGraphDrawingForcedirected1991,
title = {Graph Drawing by Force-Directed Placement},
author = {Fruchterman, Thomas M. J. and Reingold, Edward M.},
year = {1991},
month = nov,
volume = {21},
pages = {1129--1164},
issn = {1097-024X},
doi = {10.1002/spe.4380211102},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/spe.4380211102},
urldate = {2018-09-03},
abstract = {We present a modification of the spring-embedder model of Eades [Congressus Numerantium, 42, 149\textendash{}160, (1984)] for drawing undirected graphs with straight edges. Our heuristic strives for uniform edge lengths, and we develop it in analogy to forces in natural systems, for a simple, elegant, conceptually-intuitive, and efficient algorithm.},
copyright = {Copyright \textcopyright{} 1991 John Wiley \& Sons, Ltd},
journal = {Software: Practice and Experience},
language = {en},
number = {11}
}
@article{fruchtermanGraphDrawingForcedirected1991a,
title = {Graph Drawing by Force-Directed Placement},
author = {Fruchterman, Thomas M. J. and Reingold, Edward M.},
year = {1991},
month = nov,
volume = {21},
pages = {1129--1164},
issn = {00380644, 1097024X},
doi = {10.1002/spe.4380211102},
url = {http://doi.wiley.com/10.1002/spe.4380211102},
urldate = {2020-02-18},
journal = {Software: Practice and Experience},
language = {en},
number = {11}
}
@book{gerberFieldExperimentsDesign2012,
title = {Field Experiments: Design, Analysis, and Interpretation},
shorttitle = {Field Experiments},
author = {Gerber, Alan S. and Green, Donald P.},
year = {2012},
publisher = {{W. W. Norton}},
address = {{New York}},
isbn = {978-0-393-97995-4},
lccn = {JA86 .G36 2012}
}
@book{gerringCaseStudyResearch2006,
title = {Case {{Study Research}}: {{Principles}} and {{Practices}}},
shorttitle = {Case {{Study Research}}},
author = {Gerring, John},
year = {2006},
month = dec,
publisher = {{Cambridge University Press}},
address = {{Cambridge}},
abstract = {Case Study Research: Principles and Practices aims to provide a general understanding of the case study method as well as specific tools for its successful implementation. These tools can be utilized in all fields where the case study method is prominent, including business, anthropology, communications, economics, education, medicine, political science, social work, and sociology. Topics include the definition of a 'case study,' the strengths and weaknesses of this distinctive method, strategies for choosing cases, an experimental template for understanding research design, and the role of singular observations in case study research. It is argued that a diversity of approaches - experimental, observational, qualitative, quantitative, ethnographic - may be successfully integrated into case study research. This book breaks down traditional boundaries between qualitative and quantitative, experimental and nonexperimental, positivist and interpretivist.},
isbn = {978-1-139-46038-5},
language = {en}
}
@article{gimpelPoliticalParticipationAccessibility2003,
title = {Political Participation and the Accessibility of the Ballot Box},
author = {Gimpel, J.G. and Schuknecht, J.E.},
year = {2003},
month = jun,
volume = {22},
pages = {471--488},
issn = {09626298},
doi = {10.1016/S0962-6298(03)00029-5},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0962629803000295},
urldate = {2020-02-18},
journal = {Political Geography},
language = {en},
number = {5}
}
@incollection{glasgowDiscreteChoiceMethods2008,
title = {Discrete {{Choice Methods}}},
booktitle = {The {{Oxford Handbook}} of {{Political Methodology}}},
author = {Glasgow, Garrett and Alvarez, R. Michael},
editor = {{Box-Steffensmeier}, Janet M. and Brady, Henry E. and Collier, David},
year = {2008},
pages = {513--529},
publisher = {{Oxford University Press}},
address = {{Oxford}},
language = {en}
}
@book{goertzSocialScienceConcepts2006,
title = {Social Science Concepts: {{A}} User's Guide},
shorttitle = {Social Science Concepts},
author = {Goertz, Gary},
year = {2006},
publisher = {{Princeton University Press}},
address = {{Princeton, NJ}},
isbn = {978-0-691-12410-0 978-0-691-12411-7},
lccn = {H62 .G575 2006}
}
@incollection{golubDiscreteChoiceMethods2008,
title = {Discrete {{Choice Methods}}},
booktitle = {The {{Oxford Handbook}} of {{Political Methodology}}},
author = {Golub, Jonathan},
editor = {{Box-Steffensmeier}, Janet M. and Brady, Henry E. and Collier, David},
year = {2008},
pages = {530--546},
publisher = {{Oxford University Press}},
address = {{Oxford}},
language = {en}
}
@article{grahamInternationalPoliticalEconomy2019,
title = {The International Political Economy Data Resource},
author = {Graham, Benjamin A. T. and Tucker, Jacob R.},
year = {2019},
month = mar,
volume = {14},
pages = {149--161},
issn = {1559-7431, 1559-744X},
doi = {10.1007/s11558-017-9285-0},
url = {http://link.springer.com/10.1007/s11558-017-9285-0},
urldate = {2020-02-18},
journal = {The Review of International Organizations},
language = {en},
number = {1}
}
@article{greenhillSeparationPlotNew2011,
title = {The {{Separation Plot}}: {{A New Visual Method}} for {{Evaluating}} the {{Fit}} of {{Binary Models}}},
shorttitle = {The {{Separation Plot}}},
author = {Greenhill, Brian and Ward, Michael D. and Sacks, Audrey},
year = {2011},
month = oct,
volume = {55},
pages = {991--1002},
issn = {00925853},
doi = {10.1111/j.1540-5907.2011.00525.x},
url = {http://doi.wiley.com/10.1111/j.1540-5907.2011.00525.x},
urldate = {2020-02-18},
journal = {American Journal of Political Science},
language = {en},
number = {4}
}
@article{grunTopicmodelsPackageFitting2011,
title = {Topicmodels: {{An R Package}} for {{Fitting Topic Models}}},
shorttitle = {Topicmodels},
author = {Gr{\"u}n, Bettina and Hornik, Kurt},
year = {2011},
month = may,
volume = {40},
pages = {1--30},
issn = {1548-7660},
doi = {10.18637/jss.v040.i13},
url = {https://www.jstatsoft.org/index.php/jss/article/view/v040i13},
urldate = {2020-02-12},
copyright = {Copyright (c) 2010 Bettina Gr{\"u}n, Kurt Hornik},
file = {/home/andres/Zotero/storage/5XGXS9NA/Grun_Hornik_2011_topicmodels.pdf},
journal = {Journal of Statistical Software},
language = {en},
number = {1}
}
@book{hansenAnalyzingSocialMedia2019,
title = {Analyzing {{Social Media Networks}} with {{NodeXL}}: {{Insights From}} a {{Connected World}}},
author = {Hansen, Derek and Shneiderman, Ben and Smith, Marc A. and Himelboim, Itai},
year = {2019},
edition = {2nd},
publisher = {{Morgan Kaufmann Publishers}},
address = {{Burlington, MA}},
language = {English}
}
@incollection{henningsenAnalysisPanelData2019,
title = {Analysis of {{Panel Data Using R}}},
booktitle = {Panel {{Data Econometrics}}: {{Theory}}},
author = {Henningsen, Arne and Henningsen, G{\'e}raldine},
editor = {Tsionas, Mike},
year = {2019},
month = jun,
pages = {345--396},
publisher = {{Academic Press}},
address = {{London}},
isbn = {978-0-12-814431-2},
language = {en}
}
@article{henshawDataAnalysisData2018,
title = {Data {{Analysis}} and {{Data Visualization}} as {{Active Learning}} in {{Political Science}}},
author = {Henshaw, Alexis Leanna and Meinke, Scott R.},
year = {2018},
month = oct,
volume = {14},
pages = {423--439},
issn = {1551-2169, 1551-2177},
doi = {10.1080/15512169.2017.1419875},
url = {https://www.tandfonline.com/doi/full/10.1080/15512169.2017.1419875},
urldate = {2020-02-18},
journal = {Journal of Political Science Education},
language = {en},
number = {4}
}
@article{honakerWhatMissingValues2010,
title = {What to {{Do}} about {{Missing Values}} in {{Time}}-{{Series Cross}}-{{Section Data}}},
author = {Honaker, James and King, Gary},
year = {2010},
volume = {54},
pages = {561--581},
issn = {1540-5907},
doi = {10.1111/j.1540-5907.2010.00447.x},
url = {http://onlinelibrary.wiley.com/doi/abs/10.1111/j.1540-5907.2010.00447.x},
urldate = {2020-02-11},
abstract = {Applications of modern methods for analyzing data with missing values, based primarily on multiple imputation, have in the last half-decade become common in American politics and political behavior. Scholars in this subset of political science have thus increasingly avoided the biases and inefficiencies caused by ad hoc methods like listwise deletion and best guess imputation. However, researchers in much of comparative politics and international relations, and others with similar data, have been unable to do the same because the best available imputation methods work poorly with the time-series cross-section data structures common in these fields. We attempt to rectify this situation with three related developments. First, we build a multiple imputation model that allows smooth time trends, shifts across cross-sectional units, and correlations over time and space, resulting in far more accurate imputations. Second, we enable analysts to incorporate knowledge from area studies experts via priors on individual missing cell values, rather than on difficult-to-interpret model parameters. Third, because these tasks could not be accomplished within existing imputation algorithms, in that they cannot handle as many variables as needed even in the simpler cross-sectional data for which they were designed, we also develop a new algorithm that substantially expands the range of computationally feasible data types and sizes for which multiple imputation can be used. These developments also make it possible to implement the methods introduced here in freely available open source software that is considerably more reliable than existing algorithms.},
copyright = {\textcopyright{}2010, Midwest Political Science Association},
file = {/home/andres/Zotero/storage/3XNH68DT/Honaker_King_2010_What to Do about Missing Values in Time-Series Cross-Section Data.pdf},
journal = {American Journal of Political Science},
language = {en},
number = {2}
}
@article{huberPoliticsInequalityLatin2006,
title = {Politics and {{Inequality}} in {{Latin America}} and the {{Caribbean}}},
author = {Huber, Evelyne and Nielsen, Fran{\c c}ois and Pribble, Jenny and Stephens, John D.},
year = {2006},
month = dec,
volume = {71},
pages = {943--963},
issn = {0003-1224, 1939-8271},
doi = {10.1177/000312240607100604},
url = {http://journals.sagepub.com/doi/10.1177/000312240607100604},
urldate = {2020-02-12},
journal = {American Sociological Review},
language = {en},
number = {6}
}
@article{imTestingUnitRoots2003,
title = {Testing for Unit Roots in Heterogeneous Panels},
author = {Im, Kyung So and Pesaran, M.Hashem and Shin, Yongcheol},
year = {2003},
month = jul,
volume = {115},
pages = {53--74},
issn = {03044076},
doi = {10.1016/S0304-4076(03)00092-7},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0304407603000927},
urldate = {2020-02-18},
journal = {Journal of Econometrics},
language = {en},
number = {1}
}
@article{inceSocialMediaResponse2017,
title = {The Social Media Response to {{Black Lives Matter}}: How {{Twitter}} Users Interact with {{Black Lives Matter}} through Hashtag Use},
shorttitle = {The Social Media Response to {{Black Lives Matter}}},
author = {Ince, Jelani and Rojas, Fabio and Davis, Clayton A.},
year = {2017},
month = sep,
volume = {40},
pages = {1814--1830},
issn = {0141-9870, 1466-4356},
doi = {10.1080/01419870.2017.1334931},
url = {https://www.tandfonline.com/doi/full/10.1080/01419870.2017.1334931},
urldate = {2020-02-12},
journal = {Ethnic and Racial Studies},
language = {en},
number = {11}
}
@incollection{jackmanMeasurement2008,
title = {Measurement},
booktitle = {The {{Oxford Handbook}} of {{Political Methodology}}},
author = {Jackman, Simon},
editor = {{Box-Steffensmeier}, Janet M. and Brady, Henry E. and Collier, David},
year = {2008},
pages = {119--151},
publisher = {{Oxford University Press}},
address = {{Oxford}},
language = {en}
}
@article{kastellecUsingGraphsInstead2007,
title = {Using {{Graphs Instead}} of {{Tables}} in {{Political Science}}},
author = {Kastellec, Jonathan P. and Leoni, Eduardo L.},
year = {2007},
month = dec,
volume = {5},
issn = {1537-5927, 1541-0986},
doi = {10.1017/S1537592707072209},
url = {http://www.journals.cambridge.org/abstract_S1537592707072209},
urldate = {2020-02-18},
file = {/home/andres/Zotero/storage/G8JYMCE3/Kastellec_Leoni_2007_Using Graphs Instead of Tables in Political Science.pdf},
journal = {Perspectives on Politics},
language = {en},
number = {4}
}
@book{kingSolutionEcologicalInference1997,
title = {A {{Solution}} to the {{Ecological Inference Problem}}: {{Reconstructing Individual Behavior}} from {{Aggregate Data}}.},
shorttitle = {Solution to the {{Ecological Inference Problem}}},
author = {King, Gary},
year = {1997},
publisher = {{Princeton University Press}},
address = {{Princeton, NJ}},
url = {http://public.eblib.com/choice/publicfullrecord.aspx?p=1358582},
urldate = {2019-08-10},
abstract = {This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data? In political science, this question arises when individual-level surveys are unavailable (for instance, local or comparative electoral politics), unreliable (racial politics), insufficient (political geography), or infeasible (political history). This ecological inference problem also confronts researchers in numerous areas of major significance in public pol.},
file = {/home/andres/Zotero/storage/7C3WTB88/King_1997_A Solution to the Ecological Inference Problem.pdf},
isbn = {978-1-299-84076-8 978-1-4008-4920-8},
keywords = {inferencia ecológica},
language = {English}
}
@article{lallHowMultipleImputation2016,
title = {How {{Multiple Imputation Makes}} a {{Difference}}},
author = {Lall, Ranjit},
year = {2016},
volume = {24},
pages = {414--433},
issn = {1047-1987, 1476-4989},
doi = {10.1093/pan/mpw020},
url = {https://www.cambridge.org/core/product/identifier/S1047198700014145/type/journal_article},
urldate = {2020-02-18},
abstract = {Political scientists increasingly recognize that multiple imputation represents a superior strategy for analyzing missing data to the widely used method of listwise deletion. However, there has been little systematic investigation of
how
multiple imputation affects existing empirical knowledge in the discipline. This article presents the first large-scale examination of the empirical effects of substituting multiple imputation for listwise deletion in political science. The examination focuses on research in the major subfield of comparative and international political economy (CIPE) as an illustrative example. Specifically, I use multiple imputation to reanalyze the results of almost every quantitative CIPE study published during a recent five-year period in
International Organization
and
World Politics
, two of the leading subfield journals in CIPE. The outcome is striking: in almost half of the studies, key results ``disappear'' (by conventional statistical standards) when reanalyzed.},
file = {/home/andres/Zotero/storage/5Y8SJQNR/Lall_2016_How Multiple Imputation Makes a Difference.pdf},
journal = {Political Analysis},
language = {en},
number = {4}
}
@book{lansleyIntroductionSpatialData2016,
title = {An {{Introduction}} to {{Spatial Data Analysis}} and {{Visualisation}} in {{R}}},
author = {Lansley, Guy and Cheshire, James},
year = {2016},
publisher = {{Consumer Data Research Centre}},
url = {https://www.spatialanalysisonline.com/An\%20Introduction\%20to\%20Spatial\%20Data\%20Analysis\%20in\%20R.pdf}
}
@article{levinUnitRootTests2002,
title = {Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties},
shorttitle = {Unit Root Tests in Panel Data},
author = {Levin, Andrew and Lin, Chien-Fu and James Chu, Chia-Shang},
year = {2002},
month = may,
volume = {108},
pages = {1--24},
issn = {03044076},
doi = {10.1016/S0304-4076(01)00098-7},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0304407601000987},
urldate = {2020-02-18},
journal = {Journal of Econometrics},
language = {en},
number = {1}
}
@book{lewis-beckAppliedRegressionIntroduction2016,
title = {Applied {{Regression}}: {{An Introduction}}},
shorttitle = {Applied {{Regression}}},
author = {{Lewis-Beck}, Colin and {Lewis-Beck}, Michael},
year = {2016},
publisher = {{SAGE}},
address = {{Thousand Oaks, CA}},
url = {http://methods.sagepub.com/book/applied-regression-an-introduction-second-edition},
urldate = {2020-02-18},
isbn = {978-1-4833-8147-3 978-1-4833-9677-4}
}
@article{liebermanNestedAnalysisMixedMethod2005,
title = {Nested {{Analysis}} as a {{Mixed}}-{{Method Strategy}} for {{Comparative Research}}},
author = {Lieberman, Evan S.},
year = {2005},
month = aug,
volume = {99},
pages = {435--452},
issn = {1537-5943, 0003-0554},
doi = {10.1017/S0003055405051762},
url = {http://www.cambridge.org/core/journals/american-political-science-review/article/nested-analysis-as-a-mixedmethod-strategy-for-comparative-research/D4FF59D175D761C20BD6CE440AFD700B},
urldate = {2020-02-12},
abstract = {Despite repeated calls for the use of ``mixed methods'' in comparative analysis, political scientists have few systematic guides for carrying out such work. This paper details a unified approach which joins intensive case-study analysis with statistical analysis. Not only are the advantages of each approach combined, but also there is a synergistic value to the nested research design: for example, statistical analyses can guide case selection for in-depth research, provide direction for more focused case studies and comparisons, and be used to provide additional tests of hypotheses generated from small-N research. Small-N analyses can be used to assess the plausibility of observed statistical relationships between variables, to generate theoretical insights from outlier and other cases, and to develop better measurement strategies. This integrated strategy improves the prospects of making valid causal inferences in cross-national and other forms of comparative research by drawing on the distinct strengths of two important approaches.},
file = {/home/andres/Zotero/storage/M6ZI3VGS/Lieberman_2005_Nested Analysis as a Mixed-Method Strategy for Comparative Research.pdf},
journal = {American Political Science Review},
language = {en},
number = {3}
}
@book{longRegressionModelsCategorical1997,
title = {Regression Models for Categorical and Limited Dependent Variables},
author = {Long, J. Scott},
year = {1997},
publisher = {{SAGE}},
address = {{Thousand Oaks, CA}},
isbn = {978-0-8039-7374-9},
lccn = {QA278.2 .L65 1997}
}
@book{lovelaceGeocomputation2019,
title = {Geocomputation with {{R}}},
author = {Lovelace, Robin and Nowosad, Jakub and M{\"u}nchow, Jannes},
year = {2019},
publisher = {{CRC Press}},
address = {{Boca Raton, FL}},
isbn = {978-1-138-30451-2},
lccn = {G70.2 .L69 2019}
}
@book{mainwaringDemocraciesDictatorshipsLatin2013,
title = {Democracies and {{Dictatorships}} in {{Latin America}}: {{Emergence}}, {{Survival}}, and {{Fall}}},
shorttitle = {Democracies and {{Dictatorships}} in {{Latin America}}},
author = {Mainwaring, Scott and {P{\'e}rez-Li{\~n}{\'a}n}, An{\'i}bal},
year = {2013},
publisher = {{Cambridge University Press}},
address = {{Cambridge}},
abstract = {This book presents a new theory for why political regimes emerge, and why they subsequently survive or break down. It then analyzes the emergence, survival, and fall of democracies and dictatorships in Latin America since 1900. Scott Mainwaring and An{\'i}bal P{\'e}rez-Li{\~n}{\'a}n argue for a theoretical approach situated between long-term structural and cultural explanations and short-term explanations that look at the decisions of specific leaders. They focus on the political preferences of powerful actors - the degree to which they embrace democracy as an intrinsically desirable end and their policy radicalism - to explain regime outcomes. They also demonstrate that transnational forces and influences are crucial to understand regional waves of democratization. Based on extensive research into the political histories of all twenty Latin American countries, this book offers the first extended analysis of regime emergence, survival, and failure for all of Latin America over a long period of time.},
isbn = {978-0-521-19001-5},
language = {en}
}
@book{millerChicagoGuideWriting2013,
title = {The {{Chicago}} Guide to Writing about Multivariate Analysis},
author = {Miller, Jane E.},
year = {2013},
edition = {2nd},
publisher = {{University of Chicago Press}},
address = {{Chicago, IL}},
isbn = {978-0-226-52786-4 978-0-226-52787-1},
lccn = {T11 .M484 2013}
}
@book{monoganPoliticalAnalysisUsing2015,
title = {Political Analysis Using {{R}}},
author = {Monogan, James E.},
year = {2015},
publisher = {{Springer}},
address = {{New York, NY}},
file = {/home/andres/Zotero/storage/VYJHVCMV/Monogan_2015_Political analysis using R.pdf},
isbn = {978-3-319-23446-5 978-3-319-23445-8},
language = {eng}
}
@article{netoWhatDeterminesForeign2015,
title = {What {{Determines Foreign Policy}} in {{Latin America}}? {{Systemic}} versus {{Domestic Factors}} in {{Argentina}}, {{Brazil}}, and {{Mexico}}, 1946\textendash{}2008},
shorttitle = {What {{Determines Foreign Policy}} in {{Latin America}}?},
author = {Neto, Octavio Amorim and Malamud, Andr{\'e}s},
year = {2015},
volume = {57},
pages = {1--27},
issn = {1531-426X, 1548-2456},
doi = {10.1111/j.1548-2456.2015.00286.x},
url = {https://www.cambridge.org/core/product/identifier/S1531426X00000960/type/journal_article},
urldate = {2020-02-18},
abstract = {Abstract
Is it domestic politics or the international system that more decisively influences foreign policy? This article focuses on Latin America's three largest powers to identify patterns and compare outcomes in their relations with the regional hegemon, the United States. Through a statistical analysis of voting behavior in the UN General Assembly, we examine systemic variables (both realist and liberal) and domestic variables (institutional, ideological, and bureaucratic) to determine their relative weights between 1946 and 2008. The study includes 4,900 votes, the tabulation of 1,500 ministers according to their ideological persuasion, all annual trade entries, and an assessment of the political strength of presidents, cabinets, and parties per year. The findings show that while Argentina's voting behavior has been determined mostly by domestic factors and Mexico's by realist systemic ones, Brazil's has a more complex blend of determinants, but also with a prevalence of realist systemic variables.},
journal = {Latin American Politics and Society},
language = {en},
number = {4}
}
@book{newmanNetworks2018,
title = {Networks},
author = {Newman, Mark},
year = {2018},
edition = {2nd},
publisher = {{Oxford University Press}},
address = {{Oxford}},
isbn = {978-0-19-880509-0},
lccn = {T57.85 .N523 2018}
}
@article{newmanScientificCollaborationNetworks2001,
title = {Scientific Collaboration Networks. {{II}}. {{Shortest}} Paths, Weighted Networks, and Centrality},
author = {Newman, M. E. J.},
year = {2001},
month = jun,
volume = {64},
pages = {016132},
doi = {10.1103/PhysRevE.64.016132},
url = {https://link.aps.org/doi/10.1103/PhysRevE.64.016132},
urldate = {2020-02-20},
abstract = {Using computer databases of scientific papers in physics, biomedical research, and computer science, we have constructed networks of collaboration between scientists in each of these disciplines. In these networks two scientists are considered connected if they have coauthored one or more papers together. Here we study a variety of nonlocal statistics for these networks, such as typical distances between scientists through the network, and measures of centrality such as closeness and betweenness. We further argue that simple networks such as these cannot capture variation in the strength of collaborative ties and propose a measure of collaboration strength based on the number of papers coauthored by pairs of scientists, and the number of other scientists with whom they coauthored those papers.},
file = {/home/andres/Zotero/storage/WJRL3Y3D/Newman_2001_Scientific collaboration networks.pdf},
journal = {Physical Review E},
number = {1}
}
@article{opsahlNodeCentralityWeighted2010,
title = {Node Centrality in Weighted Networks: {{Generalizing}} Degree and Shortest Paths},
shorttitle = {Node Centrality in Weighted Networks},
author = {Opsahl, Tore and Agneessens, Filip and Skvoretz, John},
year = {2010},
month = jul,
volume = {32},
pages = {245--251},
issn = {03788733},
doi = {10.1016/j.socnet.2010.03.006},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0378873310000183},
urldate = {2020-02-21},
journal = {Social Networks},
language = {en},
number = {3}
}
@incollection{pattyNetworkTheoryPolitical2016,
title = {Network {{Theory}} and {{Political Science}}},
booktitle = {The {{Oxford Handbook}} of {{Political Networks}}},
author = {Patty, John W. and Penn, Elizabeth Maggie},
editor = {Victor, Jennifer Nicoll and Montgomery, Alexander H. and Lubell, Mark},
year = {2016},
month = oct,
publisher = {{Oxford University Press}},
address = {{Oxford}},
url = {http://oxfordhandbooks.com/view/10.1093/oxfordhb/9780190228217.001.0001/oxfordhb-9780190228217-e-12},
urldate = {2020-02-18},
abstract = {This chapter considers the role of network theory in the study of political phenomena, the analytical theoretical basis of network analysis as applied in political science. Using the concepts of centrality, community, and connectivity, it discusses the relationship between the primitives of network theory and their relationship to empirical measurement of political networks. The chapter then discusses one of the most active areas of work on network theory in political science, models of network formation, and offers some concluding thoughts about future directions of network theory in political science. We argue that the deeper theorizing about political networks will complement and improve empirical scholarship on the role of networks in politics.},
language = {en}
}
@article{pebesmaSimpleFeaturesStandardized2018,
title = {Simple {{Features}} for {{R}}: {{Standardized Support}} for {{Spatial Vector Data}}},
shorttitle = {Simple {{Features}} for {{R}}},
author = {Pebesma, Edzer},
year = {2018},