Showing 1 - 10 of 701
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
We suggest a robust form of conditional moment test as a constructive test for functional misspecification in multiplicative error models. The proposed test has power solely against violations of the conditional mean restriction but is not affected by any other type of model misspecification....
Persistent link: https://www.econbiz.de/10003796125
By an application of the theory of optimal estimating function, optimal instruments for dynamic models with conditional moment restrictions are derived. The general efficiency bound is provided, along with estimators attaining the bound. It is demonstrated that the optimal estimators are always...
Persistent link: https://www.econbiz.de/10012723172
We propose non-nested hypotheses tests for conditional moment restriction models based on the method of generalized empirical likelihood (GEL). By utilizing the implied GEL probabilities from a sequence of unconditional moment restrictions that contains equivalent information of the conditional...
Persistent link: https://www.econbiz.de/10012771848
This paper considers semiparametric two-step GMM estimation and inference with weakly dependent data, where unknown … of the second-step GMM estimator may not have a closed form expression, it can be well approximated by sieve variances …'s (1982) over-identification tests for the second step GMM that properly reflect the first-step estimated functions and the …
Persistent link: https://www.econbiz.de/10013019447
and Hansen (2004) which is based on conventional GMM estimation. We derive the asymptotic distributions of the two tests … critical values via a fixed regressor wild bootstrap. Our simulations show that in small samples, the GMM test of Caner and …
Persistent link: https://www.econbiz.de/10012985845
This paper develops tests of the null hypothesis of linearity in the context of autoregressive models with Markov-switching means and variances. These tests are robust to the identification failures that plague conventional likelihood-based inference methods. The approach exploits the moments of...
Persistent link: https://www.econbiz.de/10012923738
divergent and an unknown function is involved, are studied using the generalized method of moments (GMM) and sieve method … dealing with the nonparametric parameter. The consistency and normality for the GMM estimators are established. Meanwhile, a …
Persistent link: https://www.econbiz.de/10012932681
conventional two-step GMM method. Our simulations confirm that the proposed estimator compares favorably with that of Dominguez and …
Persistent link: https://www.econbiz.de/10013147626
Numerous studies have been devoted to estimating and testing of moment condition models. Most of the current literature assumes that structural parameters are either fixed or changed abruptly. This paper considers the estimating and testing for smooth structural changes in moment condition...
Persistent link: https://www.econbiz.de/10013244498