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This paper investigates the asymptotic validity of the bootstrap for Durbin-Wu-Hausman (DWH) specification tests when … instrumental variables (IVs) may be arbitrary weak. It is shown that under strong identification, the bootstrap offers a better … approximation than the usual asymptotic chi-square distributions. However, the bootstrap provides only a first-order approximation …
Persistent link: https://www.econbiz.de/10011109415
as the sample size increases. We propose size correction based on bootstrap techniques. Our analysis of the proposed … bootstrap tests provides some new insights. More precisely, we show that even for moderate instrument endogeneity, the bootstrap …
Persistent link: https://www.econbiz.de/10010959883
This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not. We apply the technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] to...
Persistent link: https://www.econbiz.de/10005100560
In this paper, we propose several finite-sample specification tests for multivariate linear regressions (MLR) with applications to asset pricing models. We focus on departures from the assumption of i.i.d. errors assumption, at univariate and multivariate levels, with Gaussian and non-Gaussian...
Persistent link: https://www.econbiz.de/10005346022
We discuss statistical inference problems associated with identification and testability in econometrics, and we emphasize the common nature of the two issues. After reviewing the relevant statistical notions, we consider in turn inference in nonparametric models and recent developments on...
Persistent link: https://www.econbiz.de/10005133053
We study the problem of testing the error distribution in a multivariate linear regression (MLR) model. The tests are functions of appropriately standardized multivariate least squares residuals whose distribution is invariant to the unknown cross-equation error covariance matrix. Empirical...
Persistent link: https://www.econbiz.de/10005133089
We discuss statistical inference problems associated with identification and testability in econometrics, and we emphasize the common nature of the two issues. After reviewing the relevant statistical notions, we consider in turn inference in nonparametric models and recent developments on...
Persistent link: https://www.econbiz.de/10005133161
Dans cet article, nous proposons des tests sur la forme de la distribution des erreurs dans un modèle de régression linéaire multivarié (RLM). Les tests que nous développons sont fonction des résidus obtenus par moindres carrés multivariés, lesquels sont standardisés de façon à ce que...
Persistent link: https://www.econbiz.de/10005100629
In this paper, we propose several finite-sample specification tests for multivariate linear regressions (MLR) with applications to asset pricing models. We focus on departures from the assumption of i.i.d. errors assumption, at univariate and multivariate levels, with Gaussian and non-Gaussian...
Persistent link: https://www.econbiz.de/10005100677
In this paper we propose exact likelihood-based mean-variance efficiency tests of the market portfolio in the context of Capital Asset Pricing Model (CAPM), allowing for a wide class of error distributions which include normality as a special case. These tests are developed in the framework of...
Persistent link: https://www.econbiz.de/10005100885