Showing 1 - 10 of 273
This paper develops a specification test for the instrument validity conditions in the heterogeneous treatment effect model with a binary treatment and a discrete instrument. A necessary testable implication for the joint restriction of instrument exogeneity and instrument monotonicity is given...
Persistent link: https://www.econbiz.de/10010190476
This paper develops a specification test for instrument validity in the heterogeneous treatment effect model with a binary treatment and a discrete instrument. The strongest testable implication for instrument validity is given by the condition for nonnegativity of point-identifiable complier's...
Persistent link: https://www.econbiz.de/10010392075
Estimation results obtained by parametric models may be seriously misleading when the model is misspecified or poorly approximates the true model. This study proposes a test that jointly tests the specifications of multiple response probabilities in unordered multinomial choice models. The test...
Persistent link: https://www.econbiz.de/10011410669
The aim of this paper is to illustrate more than one instance of poor bootstrap performance, and to see how available diagnostic techniques can indicate reliably when and how this poor performance can arise. Two particular features that seem to be important to explain bootstrap discrepancy are...
Persistent link: https://www.econbiz.de/10014440959
In the presence of conditional heteroskedasticity, inference about the coefficients in a linear regression model these … days is typically based on the ordinary least squares estimator in conjunction with using heteroskedasticity consistent … standard errors. Similarly, even when the true form of heteroskedasticity is unknown, heteroskedasticity consistent standard …
Persistent link: https://www.econbiz.de/10011518606
Conditional heteroskedasticity can be exploited to identify the structural vector autoregressions (SVAR) but the …
Persistent link: https://www.econbiz.de/10011817166
for pricing high-beta stocks in the presence of dynamic correlations and conditional heteroskedasticity. First, it …
Persistent link: https://www.econbiz.de/10012941317
We introduce a nonparametric block bootstrap approach for Quasi-Likelihood Ratio type tests of nonlinear restrictions. Our method applies to extremum estimators, such as quasi-maximum likelihood and generalized method of moments estimators. Unlike existing parametric bootstrap procedures for...
Persistent link: https://www.econbiz.de/10014178027
Quantile regression (QR) is a principal regression method for analyzing the impact of covariates on outcomes. The impact is described by the conditional quantile function and its functionals. In this paper we develop the nonparametric QR series framework, covering many regressors as a special...
Persistent link: https://www.econbiz.de/10014178851
This paper studies robustness of bootstrap inference methods under moment conditions. In particular, we compare the uniform weight and implied probability bootstraps by analyzing behaviors of the bootstrap quantiles when outliers take arbitrarily large values, and derive the breakdown points for...
Persistent link: https://www.econbiz.de/10014183251