1995
DOI: 10.2307/2554780
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Estimation and Inference in Econometrics.

Abstract: The astonishing increase in computer performance over the past two decades has made it possible for economists to base many statistical inferences on simulated, or bootstrap, distributions rather than on distributions obtained from asymptotic theory. In this paper, I review some of the basic ideas of bootstrap inference. The paper discusses Monte Carlo tests, several types of bootstrap test, and bootstrap confidence intervals. Although bootstrapping often works well, it does not do so in every case.

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Cited by 1,166 publications
(1,416 citation statements)
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“…[ Table 6] Table 6 presents the results of 3SLS estimation, in which two endogenous variables (resource dependence and institutional quality) are simultaneously instrumented (Davidson and Mackinnon, 1993). The estimation results are similar to the OLS and 2SLS estimates.…”
Section: Cross-section Analysismentioning
confidence: 72%
“…[ Table 6] Table 6 presents the results of 3SLS estimation, in which two endogenous variables (resource dependence and institutional quality) are simultaneously instrumented (Davidson and Mackinnon, 1993). The estimation results are similar to the OLS and 2SLS estimates.…”
Section: Cross-section Analysismentioning
confidence: 72%
“…First, we calculate the Hausman t-test (Hausman, 1978;Davidson and MacKinnon, 1993) to check whether wages are adequately modelled by the OLS method. Thus we introduce the residuals from the firststage regression (using probit) as an explanatory variable in the OLS estimation of the wage equation and look at its t-statistic.…”
Section: Resultsmentioning
confidence: 99%
“…This study also assumes that the issue of ambiguous relationship may be minimized through the use of instrumental variables regression. The Hausman (1978) test statistics proposed by Davidson and MacKinnon (1993) for endogeneity were applied.…”
Section: Methodsmentioning
confidence: 99%