This article explains how to obtain straightforward extensions of the most popular univariate non-nested statistics, and of the RESET-test, to a multivariate context and examines how to use these tests to compare alternative factor demand systems. The empirical application involves the classical Berndt-Khaled KLEM data set. A statistically adequate specification is determined for each competing factor demand system. The empirical results are interpreted for each system, the models are compared on the basis of multivariate paired and joint non-nested procedures and practical indications about what to expect if these tests are applied to alternative factor demand specifications are provide. © Blackwell Publishing Ltd and the Board of Trustees of the Bulletin of Economic Research 2005.
Manera, M., Mcaleer, M. (2005). Testing multiple non-nested factor demand systems. BULLETIN OF ECONOMIC RESEARCH, 57(1), 37-66.
Testing multiple non-nested factor demand systems
MANERA, MATTEO;
2005
Abstract
This article explains how to obtain straightforward extensions of the most popular univariate non-nested statistics, and of the RESET-test, to a multivariate context and examines how to use these tests to compare alternative factor demand systems. The empirical application involves the classical Berndt-Khaled KLEM data set. A statistically adequate specification is determined for each competing factor demand system. The empirical results are interpreted for each system, the models are compared on the basis of multivariate paired and joint non-nested procedures and practical indications about what to expect if these tests are applied to alternative factor demand specifications are provide. © Blackwell Publishing Ltd and the Board of Trustees of the Bulletin of Economic Research 2005.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.