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behavioural functions, monotonicity and dominance relations, one-sided constraints on conditional moments in GMM estimation … that the predominant tests currently used in econometrics do not appear to enjoy all these properties simultaneously. We …
Persistent link: https://www.econbiz.de/10003847567
The Arellano-Bond estimator is a fundamental method for dynamic panel data models, widely used in practice. However, the estimator is severely biased when the data's time series dimension T is long due to the large degree of overidentification. We show that weak dependence along the panel's time...
Persistent link: https://www.econbiz.de/10014520814
including high-dimensional linear regression and linear instrumental variables models to illustrate the general results. …
Persistent link: https://www.econbiz.de/10011865610
. Efficient estimators and uniformly valid confidence intervals for regression coefficients on target variables (e.g., treatment … or policy variable) in a high-dimensional approximately sparse regression model, for average treatment effect (ATE) and … heteroscedastic and non-Gaussian errors are implemented. Moreover, joint/ simultaneous confidence intervals for regression …
Persistent link: https://www.econbiz.de/10011524715
Persistent link: https://www.econbiz.de/10014507747
This paper examines a general class of inferential problems in semiparametric and nonparametric models defined by conditional moment restrictions. We construct tests for the hypothesis that at least one element of the identified set satisfies a conjectured (Banach space) "equality" and/or (a...
Persistent link: https://www.econbiz.de/10011337665
statistics and proposed inference methods are based on the minimum of the generalized method of moments (GMM) objective function … have good power relative to unrestricted GMM. …
Persistent link: https://www.econbiz.de/10013332218
Persistent link: https://www.econbiz.de/10013166921
Persistent link: https://www.econbiz.de/10012306198
A two-step generalized method of moments estimation procedure can be made robust to heteroskedasticity and autocorrelation in the data by using a nonparametric estimator of the optimal weighting matrix. This paper addresses the issue of choosing the corresponding smoothing parameter (or...
Persistent link: https://www.econbiz.de/10010336485