Showing 1 - 10 of 245
We establish the consistency and asymptotic normality for a class of estimators that are linear combinations of a set of √n– consistent estimators whose cardinality increases with sample size. A special case of our framework corresponds to the conditional moment restriction and the implied...
Persistent link: https://www.econbiz.de/10009620338
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
This paper shows how to construct locally robust semiparametric GMM estimators, meaning equivalently moment conditions …
Persistent link: https://www.econbiz.de/10011517194
function and that for generalised method of moments (GMM) with weight matrix equal to the inverse of the efficient GMM metric … for GMM for the non-diagonal GMM weight matrix setting. The paper demonstrates that GMM in such circumstances delivers a … GMM with a non-diagonal weight matrix and GEL. A simulation study examines the efficacy of the non-diagonal GMM and GEL …
Persistent link: https://www.econbiz.de/10011812336
We give a general construction of debiased/locally robust/orthogonal (LR) moment functions for GMM, where the …
Persistent link: https://www.econbiz.de/10011824067
coefficient specification to capture this type of heterogeneity in behaviour, and discusses nonparametric identification and … estimation of the distribution of random coefficients. We establish nonparametric point identification of the joint distribution … markets. Moreover, we establish set identification of the density of the coefficients on the interaction effects, and provide …
Persistent link: https://www.econbiz.de/10009725714
We investigate a model in which we connect slowly time varying unconditional long-run volatility with short-run conditional volatility whose representation is given as a semi-strong GARCH (1,1) process with heavy tailed errors. We focus on robust estimation of both long-run and short-run...
Persistent link: https://www.econbiz.de/10009719116
This paper is concerned with developing uniform confidence bands for functions estimated nonparametrically with instrumental variables. We show that a sieve nonparametric instrumental variables estimator is pointwise asymptotically normally mental variables estimator is pointwise asymptotically...
Persistent link: https://www.econbiz.de/10003990115
In this paper, we develop a new censored quantile instrumental variable (CQIV)estimator and describe its properties and computation. The CQIV estimator combines Powell(1986) censored quantile regression (CQR) to deal semiparametrically with censoring, with a control variable approach to...
Persistent link: https://www.econbiz.de/10009153243
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/10009153247