Showing 1 - 10 of 1,511
This paper asks which aspects of a structural Nonparametric Instrumental Variables Regression (NPIVR) can be identified …
Persistent link: https://www.econbiz.de/10010188249
semiparametric general trimmed estimator (GTE) of truncated and censored regression, which is highly robust and relatively imprecise …
Persistent link: https://www.econbiz.de/10014047660
endogenous covariate in the substantive equation can amount to almost tenfold the true parameter value. We offer a semiparametric …. Using Monte Carlo simulations attest to very high accuracy of our offered semiparametric Sieve IV estimator as well as high …
Persistent link: https://www.econbiz.de/10012895938
We propose a new estimator for nonparametric regression based on local likelihood estimation using an estimated error … score function obtained from the residuals of a preliminary nonparametric regression. We show that our estimator is …
Persistent link: https://www.econbiz.de/10009613602
robust estimation of both long-run and short-run volatilities. Our estimation is semiparametric since the long-run volatility … propose different robust estimation methods for nonstationary and strictly stationary GARCH parameters with nonparametric long …
Persistent link: https://www.econbiz.de/10009719116
This paper applies a local-linear non-parametric kernel regression technique to examine the effect of macroeconomic …
Persistent link: https://www.econbiz.de/10011526923
Numerous heavy-tailed distributions are used for modeling financial data and in problems related to the modeling of economics processes. These distributions have higher peaks and heavier tails than normal distributions. Moreover, in some situations, we cannot observe complete information about...
Persistent link: https://www.econbiz.de/10011606719
We consider the estimation of sample selection (type II Tobit) models that exhibit spatial error dependence or spatial …
Persistent link: https://www.econbiz.de/10014214310
This paper presents a new data-driven bandwidth selector compatible with the small bandwidth asymptotics developed in Cattaneo, Crump, and Jansson (2009) for density-weighted average derivatives. The new bandwidth selector is of the plug-in variety, and is obtained based on a mean squared error...
Persistent link: https://www.econbiz.de/10014203492
censored population. We then correct the derivative for the effects of the selection bias. We propose nonparametric and … semiparametric estimators for the derivative. As extensions, we discuss the cases of discrete regressors, measurement error in …
Persistent link: https://www.econbiz.de/10014216569