bibliography.bib

@article{abascal_contraction_2020,
	title = {Contraction as a Response to Group Threat: Demographic Decline and Whites{\textquoteright} Classification of People Who Are Ambiguously White},
	author = {Abascal, Maria},
	year = {2020},
	month = {04},
	date = {2020-04-01},
	journal = {American Sociological Review},
	pages = {298--322},
	volume = {85},
	number = {2},
	doi = {10.1177/0003122420905127},
	url = {https://doi.org/10.1177/0003122420905127},
	note = {Publisher: SAGE Publications Inc}
}


@techreport{gentzkow_code_2014,
  title = {Code and Data for the Social Sciences: {{A}} Practitioner's Guide},
  shorttitle = {Code and Data for the Social Sciences},
  author = {Gentzkow, Matthew and Shapiro, Jesse M.},
  year = {2014},
  institution = {{Technical report, University of Chicago. Strasser C, Cook R, Michener W, Budden A. 2012 Primer on data management: what you always wanted to know. Technical report, DataONE}},
  keywords = {methodology,open science,sociology 512,workflow},
  file = {/Users/aarong/Bibliographies/zotero/storage/FSAVHWVF/CodeAndData.pdf}
}





@article{seibold_computational_2021,
  title = {A Computational Reproducibility Study of {{PLOS ONE}} Articles Featuring Longitudinal Data Analyses},
  author = {Seibold, Heidi and Czerny, Severin and Decke, Siona and Dieterle, Roman and Eder, Thomas and Fohr, Steffen and Hahn, Nico and Hartmann, Rabea and Heindl, Christoph and Kopper, Philipp and Lepke, Dario and Loidl, Verena and Mandl, Maximilian and Musiol, Sarah and Peter, Jessica and Piehler, Alexander and Rojas, Elio and Schmid, Stefanie and Schmidt, Hannah and Schmoll, Melissa and Schneider, Lennart and To, Xiao-Yin and Tran, Viet and V{\"o}lker, Antje and Wagner, Moritz and Wagner, Joshua and Waize, Maria and Wecker, Hannah and Yang, Rui and Zellner, Simone and Nalenz, Malte},
  year = {2021},
  month = jun,
  journal = {PLOS ONE},
  volume = {16},
  number = {6},
  pages = {e0251194},
  publisher = {{Public Library of Science}},
  issn = {1932-6203},
  doi = {10.1371/journal.pone.0251194},
  abstract = {Computational reproducibility is a corner stone for sound and credible research. Especially in complex statistical analyses\textemdash such as the analysis of longitudinal data\textemdash reproducing results is far from simple, especially if no source code is available. In this work we aimed to reproduce analyses of longitudinal data of 11 articles published in PLOS ONE. Inclusion criteria were the availability of data and author consent. We investigated the types of methods and software used and whether we were able to reproduce the data analysis using open source software. Most articles provided overview tables and simple visualisations. Generalised Estimating Equations (GEEs) were the most popular statistical models among the selected articles. Only one article used open source software and only one published part of the analysis code. Replication was difficult in most cases and required reverse engineering of results or contacting the authors. For three articles we were not able to reproduce the results, for another two only parts of them. For all but two articles we had to contact the authors to be able to reproduce the results. Our main learning is that reproducing papers is difficult if no code is supplied and leads to a high burden for those conducting the reproductions. Open data policies in journals are good, but to truly boost reproducibility we suggest adding open code policies.},
  langid = {english},
  keywords = {Alcohol consumption,Computer software,Marijuana,Open source software,Preprocessing,Reproducibility,Source code,Statistical models},
  file = {/Users/aarong/Bibliographies/zotero/storage/QTC64MJF/Seibold et al. - 2021 - A computational reproducibility study of PLOS ONE .pdf;/Users/aarong/Bibliographies/zotero/storage/SYZ7EX67/article.html}
}




@inbook{mcfadden_conditional_1973,
	title = {Conditional logit analysis of qualitative choice behavior},
	author = {McFadden, Daniel},
	booktitle = {Frontiers in Economics},
	editor = {Zarembka, P.},
	year = {1973},
	date = {1973},
	publisher = {Academic Press},
	pages = {105--142},
	address = {New York, NY}
}

@book{lieberson_many_1988,
	title = {From Many Strands: Ethnic and Racial Groups in Contemporary America},
	author = {Lieberson, Stanley and Waters, Mary C},
	year = {1988},
	date = {1988},
	publisher = {Russell Sage Foundation},
	address = {New York}
}


@article{abascal_love_2015,
  title = {Love {{Thy Neighbor}}? {{Ethnoracial Diversity}} and {{Trust Reexamined}}},
  author = {Abascal, Maria and Baldassarri, Delia},
  year = {2015},
  month = nov,
  journal = {American Journal of Sociology},
  volume = {121},
  number = {3},
  pages = {722--782},
  doi = {10.1086/683144},
  abstract = {According to recent research, ethnoracial diversity negatively affects trust and social capital. This article challenges the current conception and measurement of ``diversity'' and invites scholars to rethink ``social capital'' in complex societies. It reproduces the analysis of Putnam and shows that the association between diversity and self-reported trust is a compositional artifact attributable to residential sorting: nonwhites report lower trust and are overrepresented in heterogeneous communities. The association between diversity and trust is better explained by differences between communities and their residents in terms of race/ethnicity, residential stability, and economic conditions; these classic indicators of inequality, not diversity, strongly and consistently predict self-reported trust. Diversity indexes also obscure the distinction between in-group and out-group contact. For whites, heterogeneity means more out-group neighbors; for nonwhites, heterogeneity means more in-group neighbors. Theref...},
  file = {/Users/aarong/Bibliographies/zotero/storage/P9FCI5BK/683144.pdf}
}