Some Monte Carlo Evidence for Adaptive Estimation of Unit-Time Varying Heteroscedastic Panel Data Models

G. R. Pasha, Muhammad Aslam

Abstract


In this paper, we present an adaptive estimator for panel data model with unknown unit-time varying heteroscedastic error component of unknown form by using probability weighted moments rather than conventional kernel estimators already available in the literature and then evaluate the finite sample performance of the proposed estimator in terms of efficiency and testing of hypothesis. The Monte Carlo evidence suggests that the proposed estimator performs adequately under different data generated processes, especially for small samples that are the most practical situations.

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DOI: http://dx.doi.org/10.18187/pjsor.v1i1.114

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Title

Some Monte Carlo Evidence for Adaptive Estimation of Unit-Time Varying Heteroscedastic Panel Data Models

Keywords

-

Description

In this paper, we present an adaptive estimator for panel data model with unknown unit-time varying heteroscedastic error component of unknown form by using probability weighted moments rather than conventional kernel estimators already available in the literature and then evaluate the finite sample performance of the proposed estimator in terms of efficiency and testing of hypothesis. The Monte Carlo evidence suggests that the proposed estimator performs adequately under different data generated processes, especially for small samples that are the most practical situations.

Date

2005-07-01

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol 1. No. 1, July 2005



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810