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Charpentier, Arthur; Ka, Ndéné; Mussard, Stéphane; … - In: Econometrics : open access journal 7 (2019) 1/4, pp. 1-16

We propose an Aitken estimator for Gini regression. The suggested A -Gini estimator is proven to be a U-statistics. Monte Carlo simulations are provided to deal with heteroskedasticity and to make some comparisons between the generalized least squares and the Gini regression. A Gini-White test...

Persistent link: https://www.econbiz.de/10012025711

An exponential endogenous switching regression with correlated random coefficients

Keay, Myoung-Jin - In: Econometrics : open access journal 10 (2022) 1, pp. 1-16

This paper presents a method for estimating the average treatment effects (ATE) of an exponential endogenous switching model where the coefficients of covariates in the structural equation are random and correlated with the binary treatment variable. The estimating equations are derived under...

Persistent link: https://www.econbiz.de/10012804937

Efficient estimation in heteroscedastic varying coefficient models

Wei, Chuanhua; Wan, Lijie - In: Econometrics : open access journal 3 (2015) 3, pp. 525-531

This paper considers statistical inference for the heteroscedastic varying coefficient model. We propose an efficient estimator for coefficient functions that is more efficient than the conventional local-linear estimator. We establish asymptotic normality for the proposed estimator and conduct...

Persistent link: https://www.econbiz.de/10011297551

Heteroskedasticity of unknown form in spatial autoregressive models with a moving average disturbance term

Doğan, Osman - In: Econometrics : open access journal 3 (2015) 1, pp. 101-127

In this study, I investigate the necessary condition for the consistency of the maximum likelihood estimator (MLE) of spatial models with a spatial moving average process in the disturbance term. I show that the MLE of spatial autoregressive and spatial moving average parameters is generally...

Persistent link: https://www.econbiz.de/10011290741

A new matrix statistic for the hausman endogeneity test under heteroskedasticity

Papadopoulos, Alecos - In: Econometrics : open access journal 11 (2023) 4, pp. 1-11

We derive a new matrix statistic for the Hausman test for endogeneity in cross-sectional Instrumental Variables estimation, that incorporates heteroskedasticity in a natural way and does not use a generalized inverse. A Monte Carlo study examines the performance of the statistic for different...

Persistent link: https://www.econbiz.de/10014507912

Panel data estimation for correlated random coefficients models

Hsiao, Cheng; Li, Qi; Liang, Zhongwen; Xie, Wei - In: Econometrics : open access journal 7 (2019) 1/7, pp. 1-18

estimator, we show that when T is large, a generalized least squares estimator that ignores the correlation between the … the known correlation pattern, we derive the asymptotic properties of panel least squares estimators. Simulations are used …

Persistent link: https://www.econbiz.de/10012025649

Mahalanobis distances on factor model based estimation

Dai, Deliang - In: Econometrics : open access journal 8 (2020) 1/10, pp. 1-11

A factor model based covariance matrix is used to build a new form of Mahalanobis distance. The distribution and relative properties of the new Mahalanobis distances are derived. A new type of Mahalanobis distance based on the separated part of the factor model is defined. Contamination effects...

Persistent link: https://www.econbiz.de/10012265396

Testing cross-sectional correlation in large panel data models with serial correlation

Baltagi, Badi H.; Kao, Chihwa; Bin, Peng - In: Econometrics : open access journal 4 (2016) 4, pp. 1-24

This paper considers the problem of testing cross-sectional correlation in large panel data models with serially …-correlated errors. It finds that existing tests for cross-sectional correlation encounter size distortions with serial correlation in … account for serial correlation of an unknown form in the error term. We derive the limiting distribution of this test as (N …

Persistent link: https://www.econbiz.de/10011650378

A fast algorithm for the computation of HAC covariance matrix estimators

Heberle, Jochen; Sattarhoff, Cristina - In: Econometrics : open access journal 5 (2017) 1, pp. 1-16

This paper considers the algorithmic implementation of the heteroskedasticity and autocorrelation consistent (HAC) estimation problem for covariance matrices of parameter estimators. We introduce a new algorithm, mainly based on the fast Fourier transform, and show via computer simulation that...

Persistent link: https://www.econbiz.de/10011653828

A parsimonious test of constancy of a positive definite correlation matrix in a multivariate time-varying GARCH model

Kang, Jian; Jakobsen, Johan Stax; Silvennoinen, Annastiina - In: Econometrics : open access journal 10 (2022) 3, pp. 1-41

We construct a parsimonious test of constancy of the correlation matrix in the multivariate conditional correlation … deterministically as a function of time. The alternative is a covariance matrix, not a correlation matrix, so the test may be viewed as … a general test of stability of a constant correlation matrix. The size of the test in finite samples is studied by …

Persistent link: https://www.econbiz.de/10013459316

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