Local Limit Theory and Spurious Nonparametric Regression

A local limit theorem is proved for sample covariances of nonstationary time series and integrable functions of: such time series that involve a bandwidth sequence. The resulting theory enables an asymptotic development of nonparametric regression with integrated or fractionally integrated processes...

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Bibliographic Details
Main Author: Peter C. B. PHILLIPS
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/soe_research/1815
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Institution: Singapore Management University
Language: English
Description
Summary:A local limit theorem is proved for sample covariances of nonstationary time series and integrable functions of: such time series that involve a bandwidth sequence. The resulting theory enables an asymptotic development of nonparametric regression with integrated or fractionally integrated processes that includes the important practical case of spurious regressions. Some local regression diagnostics are suggested for forensic analysis of such regresssions, including a local R-2 and a local Durbin-Watson (DW) ratio, and their asymptotic behavior is investigated. The most immediate findings extend the earlier work on linear spurious regression (Phillips, 1986, Journal of Econometrics 33, 311-340) showing that the key behavioral characteristics of statistical significance, low DW ratios and moderate to high R-2 continue to apply locally in nonparametric Spurious regression. Some further applications of the limit theory to models of nonlinear functional relations and cointegrating regressions are given. The methods, are also shown to be applicable in partial linear semiparametric nonstationary regression.