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Kolmogorov-Smirnov type test for generated variables

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  • Otsu, Taisuke
  • Taniguchi, Go

Abstract

Distribution homogeneity testing, particularly based on the Kolmogorov-Smirnov statistic, has been applied in various empirical studies. In empirical economic analysis, it is often the case that economic variables of interest are obtained as estimated values or residuals of preliminary model fits, called generated variables. In this paper, we extend the Kolmogorov- Smirnov type homogeneity test to accommodate such generated variables, and propose an asymptotically valid bootstrap inference procedure. A small simulation study illustrates that it is crucial for reliable inference to account for estimation errors in the generated variables. The proposed method is applied to compare the total factor productivities across different countries.

Suggested Citation

  • Otsu, Taisuke & Taniguchi, Go, 2020. "Kolmogorov-Smirnov type test for generated variables," LSE Research Online Documents on Economics 105571, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:105571
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    File URL: http://eprints.lse.ac.uk/105571/
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    References listed on IDEAS

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    6. Horowitz, J., 1996. "Bootstrap Critical Values For Tests Based On The Smoothed Maximum Score Estimator," SFB 373 Discussion Papers 1996,44, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
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    Cited by:

    1. Carmen Aina & Irene Brunetti & Chiara Mussida & Sergio Scicchitano, 2023. "Distributional effects of COVID-19," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 221-256, March.

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    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics

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