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Analyzing repeated-game economics experiments: robust standard errors for panel data with serial correlation

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  • Vossler, Christian A.

Abstract

The purpose of this study is to provide guidance to those who analyze data from repeated-game experiments. In particular, I propose the use of heteroskedasticity-autocorrelation consistent (HAC) covariance estimators for panel data, which allows researchers to conduct hypothesis tests without having to place structure on the heteroskedasticity and/or serial correlation likely present in econometric models. Through Monte Carlo experiments I explore the properties of three panel HAC covariance estimators within a linear regression framework, including a new HAC covariance estimator proposed in this study, for a range of cross-section (

Suggested Citation

  • Vossler, Christian A., 2009. "Analyzing repeated-game economics experiments: robust standard errors for panel data with serial correlation," MPRA Paper 38862, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:38862
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Jordan F. Suter & Kathleen Segerson & Christian A. Vossler & Gregory L. Poe, 2010. "Voluntary-Threat Approaches to Reduce Ambient Water Pollution," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1195-1213.
    2. Suter, Jordan F. & Shammin, Md Rumi, 2013. "Returns to residential energy efficiency and conservation measures: A field experiment," Energy Policy, Elsevier, vol. 59(C), pages 551-561.
    3. Vossler, Christian A. & Suter, Jordan F. & Poe, Gregory L., 2013. "Experimental evidence on dynamic pollution tax policies," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 101-115.

    More about this item

    Keywords

    applied econometrics; laboratory experiments; monte carlo simulations; robust inference;

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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