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ECONOMETRIC THEORY AND TREATMENT EFFECTS

Diagnostics for the bootstrap and fast double bootstrap

References

  • Beran, R. (1997). Diagnosing bootstrap success. Annals of the Institute of Statistical Mathematics 49:1–24.
  • Bühlmann, P. (1997). Sieve bootstrap for time series. Bernoulli 3:123–148.
  • Bühlmann, P. (2002). Bootstraps for time series. Statistical Science 17:52–72.
  • Davidson, R. (2012). Statistical inference in the presence of heavy tails. Econometrics Journal 15:C31–C53.
  • Davidson, R., Flachaire, E. (2008). The wild bootstrap, tamed at last. Journal of Econometrics 146:162–169.
  • Davidson, R., MacKinnon, J. G. (1998). Graphical methods for investigating the size and power of hypothesis tests. The Manchester School 66:1–26.
  • Davidson, R. MacKinnon (1999). The size distortion of bootstrap tests. Econometric Theory, 15:361–376.
  • Davidson, R., MacKinnon, J. G. (2007). Improving the reliability of bootstrap tests with the fast double bootstrap. Computational Statistics and Data Analysis 51:3259–3281.
  • Eicker, F. (1963). Asymptotic normality and consistency of the least squares estimators for families of linear regressions. The Annals of Mathematical Statistics 34:447–456.
  • Hall, P. (1992). The Bootstrap and Edgeworth Expansion. New York: Springer-Verlag.
  • Hall, P., Horowitz, J. L., Jing, B.-Y. (1995). On blocking rules for the bootstrap with dependent data. Biometrika 82:561–574.
  • Horowitz, J. L. (1997). Bootstrap methods in econometrics: Theory and numerical performance. In: Kreps, D. M., Wallis, K. F. (eds.), Advances in Economics and Econometrics: Theory and Applications: Seventh World Congress, Cambridge, Cambridge University Press.
  • Kirch, C., Politis, D. N. (2011). TFT bootstrap: Resampling time series in the frequency domain to obtain replicates in the time domain. Annals of Statistics 39:1427–1470.
  • Kreiss, J. P. Paparoditis (2003). Autoregressive-aided periodogram bootstrap for time series. Annals of Statistics 31: 1923–1955.
  • Künsch, H. R. (1989). The jackknife and the bootstrap for general stationary observations. Annals of Statistics 17: 1217–1241.
  • Lahiri, S. N. (1999). Theoretical comparisons of block bootstrap methods. Annals of Statistics 27:386–404.
  • Lahiri, S. N. (2003). Resampling Methods for Dependent Data, New York: Springer.
  • Liu, R. Y. (1988). Bootstrap procedures under some non-I.I.D. models. Annals of Statistics 16:1696–1708.
  • Mammen, E. (1993). Bootstrap and wild bootstrap for high dimensional linear models. Annals of Statistics 21:255–285.
  • Newey, W. K., West, K. D. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55:703–708.
  • Nordman, D. J., Lahiri, S. N. (2012). Block bootstraps for time series with fixed regressors. Journal of the American Statistical Association 107:233–246.
  • Schluter, C. (2012). Discussion of S. G. Donald et al and R. Davidson. Econometrics Journal 12:C54–C57.
  • Shao, X. (2010). The dependent wild bootstrap. Journal of the American Statistical Association 105:218–235.
  • White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica 48:817–838.
  • Wu, C. F. J. (1986). Jackknife, bootstrap and other resampling methods in regression analysis. Annals of Statistics 14: 1261–1295.

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