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Identification via heteroskedasticity exploits differences in variances across regimes to identify parameters in … parameter vector. I apply these tools to monetary policy shocks, identified using heteroskedasticity in high frequency data. I …
Persistent link: https://www.econbiz.de/10011952161
An innovation which bypasses the need for instruments when estimating endogenous treatment effects is identification via conditional second moments. The most general of these approaches is Klein and Vella (2010) which models the conditional variances semiparametrically. While this is attractive,...
Persistent link: https://www.econbiz.de/10010269795
regressions with multiple endogenous regressors to be robust to heteroskedasticity and autocorrelation. Equivalently, we extend …
Persistent link: https://www.econbiz.de/10013432950
residual covariance across time if the structural shocks exhibit heteroskedasticity (Rigobon (2003), Sentana and Fiorentini …
Persistent link: https://www.econbiz.de/10012144714
Identification via heteroskedasticity exploits differences in variances across regimes to identify parameters in … parameter vector. I apply these tools to monetary policy shocks, identified using heteroskedasticity in high frequency data. I …
Persistent link: https://www.econbiz.de/10012144719
Persistent link: https://www.econbiz.de/10003871656
This paper formulates a likelihood-based estimator for a double index, semiparametric binary response equation. A novel feature of this estimator is that it is based on density estimation under local smoothing. While the proofs differ from those based on alternative density estimators, the...
Persistent link: https://www.econbiz.de/10003481874
Persistent link: https://www.econbiz.de/10003931578
education from 6.8% to 11.2%. -- Return to education ; heteroskedasticity ; endogeneity …
Persistent link: https://www.econbiz.de/10003962728
Persistent link: https://www.econbiz.de/10009703632