A regression error specification test (RESET) for the truncated regression model

  • Abstract
  • Keywords
  • References
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  • Abstract

    While a variety of specification tests are routinely employed to test for misspecification in linear regression model, such tests and their applications to the truncated and censored regression models are uncommon. This paper develops a regression error specification test (RESET) for the truncated regression model as an extension of the popular RESET for the linear regression model (Ramsey (1969)). The two proposed extensions TRESET1 and TRESET2 developed in the paper are applied to labor force participation data from Mroz (1987). The paper studies the empirical size and power properties of the proposed tests via Monte Carlo experiments. Our simulation results suggest that both TRESET tests have reasonably good size and power properties for the truncated regression model in medium to large samples. However, TRESET2 consistently outperforms TRESET1 both in terms of empirical size and power in our experiments.



  • Keywords

    Truncated Regression; RESET; TRESET; Empirical Size; Empirical Power.

  • References

      [1] Godfrey LG & Orme, CD (1994) the sensitivity of some general checks to omitted variables in the linear model. International Economic Review 35, 489-506. https://doi.org/10.2307/2527066.

      [2] Hastie T & Tibshirani R (1990) Generalized Additive Models, Chapman and Hall/CRC Monographs on Statistics and Probability, Boca Raton.

      [3] Hill R C, Griffiths WA & Lim G (2013) Principles of Econometrics. Wiley, New York.

      [4] Horowitz JL (1994) Bootstrap-based critical values for the Information Matrix Test, Journal of Econometrics 38, 375-386. https://doi.org/10.1016/0304-4076(94)90092-2.

      [5] Horowitz JL & Neumann GR (1989) Specification Testing in censored regression models: parametric and semi-parametric methods, Journal of Applied Econometrics 4, S61-S86. https://doi.org/10.1002/jae.3950040505.

      [6] Maddala GS (1983) Limited Dependent and qualitative variables in Econometrics. Cambridge University Press, New York. https://doi.org/10.1017/CBO9780511810176.

      [7] Mroz T (1987) the sensitivity of an empirical model of married women's hours of work to economic and statistical assumptions. Econometrica 55, 765-799. https://doi.org/10.2307/1911029.

      [8] Peters S (2000) on the use of the RESET tests in Microeconometric Models, Applied Economics Letters 7, 361-365. https://doi.org/10.1080/135048500351285.

      [9] Ramsey JB (1969) Tests for specification errors in classical least-squares regression analysis, Journal of the Royal Statistical Society, Series B 31, 350-71.

      [10] Sapra S (2005) A Regression Error Specification (RESET) Test for Generalized Linear Models, Economics Bulletin 3, AccessEcon, 1-6.




Article ID: 13478
DOI: 10.14419/ijaes.v6i2.13478

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