RT Journal Article
T1 Testing Non-nested Semiparametric Models: An Application to Engel Curves Specification
A1 Delgado, Miguel A.
A1 Mora, Juan
AB This paper proposes a test statistic for  discriminating  between two partly non-linear regression models whose parametric components are non-nested. The statistic has the form of a J-test based on a parameter which artificially nests the null and alternative hypotheses. We study in detail the realistic case where all regressors in the non-linear part are discrete and then no smoothing is requiered on the estimating the non-parametric components.We also consider the general case where continuous and discrete regressors are present. The performance of the test in finite samples and discussed in the context of some Monte Carlo experiments. The test is well motivated for specification testing of Engel curves. We provide an application using data from the 1980 Spanish Expenditure Survey.
PB John Wiley & Sons
SN 0883-7252
YR 1998
FD 1998
LK https://hdl.handle.net/10016/2438
UL https://hdl.handle.net/10016/2438
LA eng
DS e-Archivo
RD 31 may. 2024