Empirically relevant critical values for hypothesis tests: A bootstrap approach

Journal of Econometrics

Volumn 95, Issue 2, 2000, Pages 375-389

  Horowitz, Joel L ^a   Savin, N B ^a  

^a UNIVERSITY OF IOWA   (United States)

Author keywords

Bootstrap; Critical value; Hypothesis test; Size; Type I error

Indexed keywords

EID: 0141727439     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-4076(99)00042-1     Document Type: Article

References (51)

1. Abadir, K.M., 1995. A new test for nonstationarity against the stable alternative. Econometric Theory 11, 81-104.
2. Amemiya, T., 1985. In: Advanced Econometrics. Harvard University Press, Cambridge.
3. Bahadur, R.R., Savage, L.J., 1956. The nonexistence of certain statistical procedures in nonparametric problems. Annals of Mathematical Statistics 27, 1115-1122.
4. Baltagi, B.H., Chang, Y.-J., Li, Q., 1992. Monte carlo results on several new and existing test for the error component model. Journal of Econometrics 54, 95-120.
5. Beran, R., 1988. Prepivoting test statistics: a bootstrap view of asymptotic refinements. Journal of the American Statistical Association 83, 687-697.
6. Bierens, H.J., 1997. Testing the unit root with drift hypothesis against nonlinear trend stationarity, with an application to the U.S. price level and interest rate. Journal of Econometrics 81, 29-64.
7. Burridge, P., Guerre, E., 1996. The limit distribution of level crossings of a random walk, and a simple unit root test. Econometric Theory 12, 705-723.
8. Cavanagh, C.L., Elliott, G., Stock, J.H., 1995. Inference in models with nearly integrated regressors. Econometric Theory 11, 1131-1147.
9. Chesher, A., 1983. The information matrix test. Economics Letters 13, 45-48.
10. Chesher, A., Spady, R., 1991. Asymptotic expansions of the information matrix test statistic. Econometrica 59, 787-815.
11. Choi, I., Ahn, B.C., 1995. Testing for cointegration in a system of equations. Econometric Theory 11, 952-983.
12. Choi, I., Park, J.Y., Yu, B.C., 1997. Cannonical cointegration regression and testing in the presence of I(1) and I(2) variables. Econometric Theory 13, 850-876.
13. Chueng, Y.-W., Lai, K.S., 1997. Bandwidth selection, prewhitening, and the power of the Phillips-Perron test. Econometric Theory 13, 679-691.
14. Davidson, R., MacKinnon, J.G., 1984. Convenient specification tests for logit and probit models. Journal of Econometrics 25, 241-262.
15. De Jong, D.N., Nankervis, J.C., Savin, N.B., Whiteman, C.H., 1992. The power problems of unit root tests in time series with autoregressive errors. Journal of Econometrics 53, 323-343.
16. Donald, S.G., 1997. Inference concerning the number of factors in a multivariate nonparametric relationship. Econometrica 65, 103-132.
17. Dufour, J.-M., 1997. Some impossibility theorems in econometrics with applications to structural and dynamic models. Econometrica 65, 1365-1387.
18. Durlauf, S.N., 1991. Spectral based testing of the martingale hypothesis. Journal of Econometrics 50, 355-376.
19. Elliott, G., Rothenberg, T.J., Stock, J.H., 1996. Efficient test for an autoregressive unit root. Econometrica 64, 813-836.
20. Evans, M.A., King, M.L., 1985. A point optimal test for heteroskedastic disturbances. Journal of Econometrics 27, 163-178.
21. Griffiths, W., Judge, G., 1992. Testing and estimating location vectors when the error covariance matrix is unknown. Journal of Econometrics 54, 96-120.
22. Hall, P., 1992. The Bootstrap and Edgeworth Expansion. Springer, New York.
23. Hansen, B.E., 1996. Inference when a nuisance parameter is not identified under the null hypothesis. Econometrica 64, 413-430.
24. Hasan, N.N., Koenker, R.W., 1997. Robust rank tests of the unit root hypothesis. Econometrica 65, 1033-1162.
25. Haug, A.A., 1996. Tests for cointegration: a Monte Carlo comparison. Journal of Econometrics 71, 89-116.
26. Herce, M.A., 1996. Asymptotic theory of LAD estimation in a unit root process with finite variance errors. Econometric Theory 12, 129-153.
27. Hidalgo, J., Robinson, P., 1996. Testing for structural change in long-memory environment. Journal of Economics 70, 159-174.
28. Hong, Y., 1996. Consistent testing for serial correlation of unknown form. Econometrica 64, 837-864.
29. Hong, Y., White, H., 1995. Consistent specification testing via nonparametric series regression. Econometrica 63, 1133-1160.
30. Horowitz, J.L., 1994. Bootstrap-based critical values for the information matrix test. Journal of Econometrics 61, 395-411.
31. 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, Vol. 3. Cambridge University Press, New York, pp. 188-222.
32. King, M.L., 1985. A point optimal test for autoregressive disturbances. Journal of Econometrics 27, 21-38.
33. Lancaster, T., 1984. The covariance matrix of the information matrix test. Econometrica 52, 1051-1053.
34. Lee, H.S., 1992. Maximum likelihood inference on cointegration and seasonal cointegration. Journal of Econometrics 54, 1-48.
35. Lee, T.H., White, H., Granger, C.W.J., 1993. Testing for neglected nonlinearity in time series models. Journal of Econometrics 56, 269-290.
36. Lieberman, O., 1997. The effect of nonnormality. Econometric Theory 13, 79-118.
37. Lo, A.W., MacKinlay, A.C., 1989. The size and power of the variance ratio test in finite samples: a Monte Carlo investigation. Journal of Econometrics 40, 203-238.
38. Lütkepohl, H., Poskitt, D.S., 1996. Testing for causation using infinite order vector autoregressive processes. Econometric Theory 12, 61-89.
39. MacKinnon, J.G., White, H., 1985. Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties. Journal of Econometrics 29, 305-326.
40. Manski, C.F., 1988. Analog Estimation Methods in Econometrics Chapman & Hall, New York.
41. Nankervis, J.C., Savin, N.B., 1985. Testing the autoregressive parameter with the-statistic. Journal of Econometrics 27, 143-162.
42. Ng. S., Perron, P., 1997. Estimation and inference in nearly balanced nearly cointegrated systems. Journal of Econometrics 79, 53-82.
43. Perron, P., 1997. Further evidence on breaking trend functions in macroeconomic variables. Journal of Econometrics 80, 355-388.
44. Rahman, S., King, M.L., 1996. Marginal likelihood score-based tests of regression disturbances in the presence of nuisance parameters. Journal of Econometrics 82, 81-106.
45. Saikkonen, P., Luukkonen, R., 1997. Testing cointegration in infinite order vector autoregression processes. Journal of Econometrics 81, 93-126.
46. Staiger, D., Stock, J.H., 1997. Instrumental variables regression with weak instruments. Econometrica 65, 557-586.
47. Toda, H., 1995. Finite sample performance of likelihood ratio tests for cointegrating ranks in vector autoregressions. Econometric Theory 11, 1015-1032.
48. Toyoda, T., Ohtani, K., 1986. Testing equality between sets of coefficients after a preliminary test for equality of disturbance variances in two linear regressions. Journal of Econometrics 31, 67-80.
49. Tsurumi, H., Sheflin, N., 1985. Some tests for constancy of regressions under heterskedasticity. Journal of Econometrics 27, 221-234.
50. Whang, Y.-J., 1998. A test of autocorrelation in the presence of heteroskedasticity of unknown form. Econometric Theory 14, 87-122.
51. White, H., 1982. Maximum likelihood estimation of misspecified models. Econometrica 50, 1-26.