IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v46y2017i1p68-102.html
   My bibliography  Save this article

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

Author

Listed:
  • Weihua An
  • Christopher Winship

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.

Suggested Citation

  • Weihua An & Christopher Winship, 2017. "Causal Inference in Panel Data With Application to Estimating Race-of-Interviewer Effects in the General Social Survey," Sociological Methods & Research, , vol. 46(1), pages 68-102, January.
    • Handle: RePEc:sae:somere:v:46:y:2017:i:1:p:68-102
    DOI: 10.1177/0049124115600614
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124115600614
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0049124115600614?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    2. Cuong Nguyen, 2012. "Program impact evaluation using a matching method with panel data," Economics Bulletin, AccessEcon, vol. 32(1), pages 1-10.
    3. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    4. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    5. Sekhon, Jasjeet S., 2011. "Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i07).
    6. Darren W. Davis & Brian D. Silver, 2003. "Stereotype Threat and Race of Interviewer Effects in a Survey on Political Knowledge," American Journal of Political Science, John Wiley & Sons, vol. 47(1), pages 33-45, January.
    7. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Justin T. Callais & Jamie Bologna Pavlik, 2023. "Does economic freedom lighten the blow? Evidence from the great recession in the United States," Economics of Governance, Springer, vol. 24(3), pages 357-398, September.
    2. Callais, Justin & Harris, Colin & Borchard, Ben, 2022. "The moral costs of markets: Testing the deterioration hypothesis," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 200-220.
    3. Michael Gebel & Stefanie Gundert, 2023. "Changes in Income Poverty Risks at the Transition from Unemployment to Employment: Comparing the Short-Term and Medium-Term Effects of Fixed-Term and Permanent Jobs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 507-533, June.
    4. Justin Callais & Andrew T. Young, 2021. "Does constitutional entrenchment matter for economic freedom?," Contemporary Economic Policy, Western Economic Association International, vol. 39(4), pages 808-830, October.
    5. Grier, Robin & Young, Andrew T. & Grier, Kevin, 2022. "The causal effects of rule of law & property rights on fiscal capacity," European Journal of Political Economy, Elsevier, vol. 74(C).
    6. Grier, Kevin B. & Grier, Robin M., 2021. "The Washington consensus works: Causal effects of reform, 1970-2015," Journal of Comparative Economics, Elsevier, vol. 49(1), pages 59-72.
    7. Jamie Bologna Pavlik & Maria Tackett, 2022. "The Effect of Presidential Particularism on Economic Well-Being: A County-Level Analysis," Public Finance Review, , vol. 50(2), pages 135-168, March.
    8. Callais, Justin, 2022. "Free to Grow? A Matching Methods Analysis of Economic Freedom in the United States," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 52(1), December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. An, Weihua & Kweon, Yesola, 2017. "Do higher government wages induce less corruption? Cross-country panel evidence," Journal of Policy Modeling, Elsevier, vol. 39(5), pages 809-826.
    2. Crespo Cuaresma, Jesus & Oberhofer, Harald & Vincelette, Gallina Andronova, 2014. "Firm growth and productivity in Belarus: New empirical evidence from the machine building industry," Journal of Comparative Economics, Elsevier, vol. 42(3), pages 726-738.
    3. Frondel, Manuel & Kaestner, Kathrin & Sommer, Stephan & Vance, Colin, 2022. "Photovoltaics and the solar rebound: Evidence for Germany," Ruhr Economic Papers 954, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Frondel, Manuel & Kaestner, Kathrin & Sommer, Stephan & Vance, Colin, 2021. "Photovoltaics and the Solar Rebound: Evidence for Germany," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242356, Verein für Socialpolitik / German Economic Association.
    5. Eppinger, Peter S., 2019. "Service offshoring and firm employment," Journal of International Economics, Elsevier, vol. 117(C), pages 209-228.
    6. Jenny C. Aker & Marcel Fafchamps, 2015. "Mobile Phone Coverage and Producer Markets: Evidence from West Africa," The World Bank Economic Review, World Bank, vol. 29(2), pages 262-292.
    7. Arraiz, Irani & Calero, Carla & Jon, Songqing & Peralta, Alexandra, 2015. "Planting the seeds: The impact of training on mando producers in Haiti," 2015 Conference, August 9-14, 2015, Milan, Italy 212622, International Association of Agricultural Economists.
    8. Zoltán Bakucs & Imre Fertő & Zsófia Benedek, 2019. "Success or Waste of Taxpayer Money? Impact Assessment of Rural Development Programs in Hungary," Sustainability, MDPI, vol. 11(7), pages 1-23, April.
    9. Mishra, Ashok K. & Kumar, Anjani & Joshi, Pramod K. & D'souza, Alwin, 2016. "Impact of contracts in high yielding varieties seed production on profits and yield: The case of Nepal," Food Policy, Elsevier, vol. 62(C), pages 110-121.
    10. Arraiz, Irani & Calero, Carla & Jon, Songqing & Peralta, Alexandra, 2015. "Planting the seeds: The impact of training on mando producers in Haiti," 2015 Conference, August 9-14, 2015, Milan, Italy 212622, International Association of Agricultural Economists.
    11. Ainembabazi, John Herbert & Abdoulaye, Tahirou & Feleke, Shiferaw & Alene, Arega & Dontsop-Nguezet, Paul M. & Ndayisaba, Pierre Celestin & Hicintuka, Cyrille & Mapatano, Sylvain & Manyong, Victor, 2018. "Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa," World Development, Elsevier, vol. 108(C), pages 28-46.
    12. Gonzalez-Ramirez, Maria Jimena & Kling, Catherine L. & Arbuckle, J. Gordon Jr., 2015. "Cost-share Effectiveness in the Adoption of Cover Crops in Iowa," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205876, Agricultural and Applied Economics Association.
    13. Ilona Babenko & Benjamin Bennett & John M Bizjak & Jeffrey L Coles & Jason J Sandvik, 2023. "Clawback Provisions and Firm Risk," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 12(2), pages 191-239.
    14. Iván Fernández-Val & Martin Weidner, 2018. "Fixed Effects Estimation of Large-TPanel Data Models," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 109-138, August.
    15. Banal-Estañol, Albert & Duso, Tomaso & Seldeslachts, Jo & Szücs, Florian, 2022. "R&D Spillovers through RJV Cooperation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 51(4), pages 1-10.
    16. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LP, vol. 7(1), pages 71-83, February.
    17. Flückiger, Matthias & Ludwig, Markus, 2015. "Economic shocks in the fisheries sector and maritime piracy," Journal of Development Economics, Elsevier, vol. 114(C), pages 107-125.
    18. Slottje, Daniel J. & Millimet, Daniel L. & Buchanan, Michael J., 2007. "Econometric analysis of copyrights," Journal of Econometrics, Elsevier, vol. 139(2), pages 303-317, August.
    19. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    20. Shiu, Ji-Liang & Hu, Yingyao, 2013. "Identification and estimation of nonlinear dynamic panel data models with unobserved covariates," Journal of Econometrics, Elsevier, vol. 175(2), pages 116-131.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:somere:v:46:y:2017:i:1:p:68-102. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.