Causal Inference in Panel Data with Application to Estimating Race-of-Interviewer Effects in the General Social Survey

Autor/inn/en	An, Weihua; Winship, Christopher
Titel	Causal Inference in Panel Data with Application to Estimating Race-of-Interviewer Effects in the General Social Survey
Quelle	In: Sociological Methods & Research, 46 (2017) 1, S.68-102 (35 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0049-1241
DOI	10.1177/0049124115600614
Schlagwörter	Causal Models; Statistical Inference; Interviews; Race; Racial Differences; Surveys; Statistical Analysis; Evaluation Methods; General Social Survey + Suchen Sie Ihr Suchwort? Kausalanalyse; Inferential statistics; Schließende Statistik; Interviewing; Interviewtechnik; Rasse; Abstammung; Rassenunterschied; Survey; Umfrage; Befragung; Statistische Analyse
Abstract	In this article, we review popular parametric models for analyzing panel data and introduce the latest advances in matching methods for panel data analysis. To the extent that the parametric models and the matching methods offer distinct advantages for drawing causal inference, we suggest using both to cross-validate the evidence. We demonstrate how to use these methods by examining race-of-interviewer effects (ROIE) in the 2006 to 2010 panel data of the General Social Survey. We find that ROIE mostly concentrate on race-related outcomes and may vary by respondent's race for some outcomes. But we find no statistically significant evidence that ROIE vary by the interview mode (i.e., in person vs. by phone). Our study has both methodological and substantive implications for future research. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01