Abstract

The paper compares the power of two tests for serial correlation in regression models with lagged dependent variables, recently suggested by Durbin, with that of the likelihood ratio test by means of two sets of Monte-Carlo experiments-one in which the exogenous series is taken to be the quarterly GNP series for the USA and the other in which the exogenous series is generated by a known autoregression.

Keywords

StatisticsEconometricsRegression analysisAutocorrelationMathematicsCorrelationRegression

Related Publications

Introduction to Econometrics

Foreword. Preface to the Second Edition. Preface to the Third Edition. Obituary. INTRODUCTION AND THE LINEAR REGRESSION MODEL. What is Econometrics? Statistical Background and M...

2020 WORLD SCIENTIFIC eBooks 3511 citations

Publication Info

Year
1973
Type
article
Volume
41
Issue
4
Pages
761-761
Citations
98
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

98
OpenAlex

Cite This

G. S. Maddala, Arni S. R. Srinivasa Rao (1973). Tests for Serial Correlation in Regression Models with Lagged Dependent Variables and Serially Correlated Errors. Econometrica , 41 (4) , 761-761. https://doi.org/10.2307/1914095

Identifiers

DOI
10.2307/1914095