Identifying Heterogeneity in Dynamic Panel Models with Individual Parameter Contribution Regression

Volume: 27, Issue: 4, Pages: 613 - 628
Published: Nov 6, 2019
Abstract
Dynamic panel models are a popular approach to study interrelationships between repeatedly measured variables. Often, dynamic panel models are specified and estimated within a structural equation modeling (SEM) framework. An endemic problem threatening the validity of such models is unmodelled heterogeneity. Recently, individual parameter contribution (IPC) regression was proposed as a flexible method to study heterogeneity in SEM parameters as...
Paper Details
Title
Identifying Heterogeneity in Dynamic Panel Models with Individual Parameter Contribution Regression
Published Date
Nov 6, 2019
Volume
27
Issue
4
Pages
613 - 628
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