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Inferential theory for heterogeneity and cointegration in large panels
- Source :
- Journal of Econometrics. 220:474-503
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- © 2020 Elsevier B.V. This paper provides an estimation and testing framework to assess the presence and the extent of slope heterogeneity and cointegration when the units are a mixture of spurious and/or cointegrating regressions. We propose two moment estimators for the degree of heterogeneity (measured by the dispersion of the slope coefficients around their average) and for the fraction of spurious regressions, which are found to be consistent in the whole parameter space. Based on these estimators, two tests for the null hypotheses of slope homogeneity and for cointegration are proposed. Monte Carlo simulations show that both tests have the correct size and satisfactory power.
- Subjects :
- Statistics::Theory
Economics and Econometrics
Cointegration
Spurious Regression
Applied Mathematics
Homogeneity (statistics)
05 social sciences
Monte Carlo method
Estimator
Parameter space
01 natural sciences
Statistics::Computation
Method of Mo- ments
010104 statistics & probability
0502 economics and business
Econometrics
Statistics::Methodology
Heterogeneity
0101 mathematics
Spurious relationship
Null hypothesis
Large Panels
050205 econometrics
Mathematics
Subjects
Details
- ISSN :
- 03044076 and 18726895
- Volume :
- 220
- Database :
- OpenAIRE
- Journal :
- Journal of Econometrics
- Accession number :
- edsair.doi.dedup.....dd61f40eb66f68eb85b02c4182da4264
- Full Text :
- https://doi.org/10.1016/j.jeconom.2020.04.010