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Micro versus macro cointegration in heterogeneous panels

We consider the issue of cross-sectional aggregation in nonstationary and heterogeneous panels where each unit cointegrates. We derive asymptotic properties of the aggregate estimate, and necessary and sufficient conditions for cointegration to hold in the aggregate relationship. We then analyze the...

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Published in:Econometrics 2010-03, Vol.155 (1), p.1-18
Main Authors: Trapani, Lorenzo, Urga, Giovanni
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Language:English
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description We consider the issue of cross-sectional aggregation in nonstationary and heterogeneous panels where each unit cointegrates. We derive asymptotic properties of the aggregate estimate, and necessary and sufficient conditions for cointegration to hold in the aggregate relationship. We then analyze the case when cointegration does not carry through the aggregation process, and we investigate whether the violation of the formal conditions for perfect aggregation can still lead to an aggregate equation that is observationally equivalent to a cointegrated relationship. We derive a measure of the degree of noncointegration of the aggregate relationship and we explore its asymptotic properties. We propose a valid bootstrap approximation of the test. A Monte Carlo exercise evaluates size and power properties of the bootstrap test.
doi_str_mv 10.1016/j.jeconom.2009.07.005
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source International Bibliography of the Social Sciences (IBSS); Science Direct (Econometrics Backfile); ScienceDirect Freedom Collection; Backfile Package - Mathematics (Legacy) [YMT]
subjects Aggregate analysis
Aggregation
Applications
Approximation
Asymptotic methods
Bootstrap
Bootstrap mechanism
Bootstrap method
Cointegration
Cointegration analysis
Distribution theory
Econometrics
Estimation
Exact sciences and technology
Heterogeneous panels
Heterogeneous panels Aggregation Cointegration Spurious regression Bootstrap
Insurance, economics, finance
Mathematics
Monte Carlo simulation
Nonparametric inference
Parametric inference
Probability and statistics
Regression analysis
Sciences and techniques of general use
Spurious regression
Statistics
Studies
title Micro versus macro cointegration in heterogeneous panels
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