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The Breusch-Godfrey’s LM test is one of the most popular tests for autocorrelation. However, it has been shown that the LM test may be erroneous when there exist heteroskedastic errors in regression model. Some remedies recently have been proposed by Godfrey and Tremayne (2005) and Shim et al....
Persistent link: https://www.econbiz.de/10005622073
This paper utilizes the bootstrap to construct tests using the measures for goodness-of-fit for nonnested regression … models. The bootstrap enables us to compute the statistical significance of the differences in the measures and to formally … test on nonnested regression models. The bootstrap tests that this paper proposes are expected to show better finite sample …
Persistent link: https://www.econbiz.de/10005260238
The paper develops the bootstrap theory and extends the asymptotic theory of rank estimators, such as the Maximum Rank … asymptotic distributions can be consistently estimated by the nonparametric bootstrap. We investigate the accuracy of inference … based on the asymptotic approximation and the bootstrap, and provide bounds on the associated error. In the case of MRC and …
Persistent link: https://www.econbiz.de/10005789393
The challenge of the econometric problem in production efficiency analysis is that the very efficiency scores to be analyzed are unobserved. Recently, statistical properties have been discovered for a class of estimators popular in the literature, known as data envelopment analysis (DEA)...
Persistent link: https://www.econbiz.de/10008794662
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
In this study, we test the hypothesis that psychological barriers exist in 5 European Equity Market indices [ATX, CAC, DAX, FTSE, SMI]. We employ both a traditional methodology that assumes a uniform distribution of M-Values and a modified approach that accounts for the fact that the digits of...
Persistent link: https://www.econbiz.de/10011259390
Testing the assumption of independence between variables is a crucial aspect of spatial data analysis. However, the literature is limited and somewhat confusing. To our knowledge, we can mention only the bivariate generalization of Moran’s statistic. This test suffers from several...
Persistent link: https://www.econbiz.de/10011260150
Testing for the assumption of independence between spatial variables is an important first step in spatial conometrics. Usually the researchers use the bivariate generalization of the Moran’s statistic, specifying a spatial matrix a priori. This test is applicable only to detect linear...
Persistent link: https://www.econbiz.de/10011260236
The noncentral chi-square approximation of the distribution of the likelihood ratio (LR) test statistic is a critical part of the methodology in structural equations modeling (SEM). Recently, it was argued by some authors that in certain situations normal distributions may give a better...
Persistent link: https://www.econbiz.de/10005015592
In this paper, we first re-visit the inference problem for interval identified parameters originally studied in Imbens and Manski (2004) and later extended in Stoye (2008). We take the general criterion function approach and establish a new confidence interval that is asymptotically valid under...
Persistent link: https://www.econbiz.de/10009652936