Testing For Exogeneity Within A Limited Information Framework

Testing Exogeneity

This book discusses the nature of exogeneity - a central concept in econometrics - and shows how to test for it through numerous substantive empirical examples. Part I considers what exogeneity is and how it can be tested. Part II contains applications to models of expenditure, money demand, inflation, wages and prices, and exchange rates across both developed and developing countries. Part III extends various tests of constancy and forecast accuracy, which are central to testing super exogeneity. The papers forming the core of this book (from two special issues of the Journal of Policy Modeling) provide a unique and unified perspective on applied econometric modelling in general and on exogeneity tests in particular. The applications are substantive and diverse, with a broad appeal to the applied economist.Contributors: H. Ahumada, G. Bardsen, J. Campos, M. Deutsch, R. F. Engle, Neil R. Ericsson, C. W. J. Granger, B. E. Hansen, David F. Hendry, J. Hunter, S. Johansen, K. Juselius, R. Numoen, Jean-Francois Richard

Exogeneity in Error Correction Models

In the recent years, the study of cointegrated time series and the use of error correction models have become extremely popular in the econometric literature. This book provides an analysis of the notion of (weak) exogeneity, which is necessary to sustain valid inference in sub-systems, inthe framework of error correction models (ECMs). In many practical situations, the applied econometrician wants to introduce "structure" on his/her model in order to get economically meaningful coefficients. For thispurpose, ECMs in structural form provide an appealing framework, allowing the researcher to introduce (theoretically motivated) identification restrictions on the long run relationships. In this case, the validity of the inference will depend on a number of conditions which are investigated here. In particular,we point out that orthogonality tests, often used to test for weak exogeneity or for general misspecification, behave poorly in finite samples and are often not very useful in cointegrated systems.

Testing for Exogeneity Within a Limited Information Framework