A Simple Framework for Nonparametric Specification Testing
 (1254 K)
|
NBER Technical Working Paper No. 234
Issued in September 1998
This paper presents a simple framework for testing the specification of parametric conditional means. The test statistics are based on quadratic forms in the residuals of the null model. Under general assumptions the test statistics are asymptotically normal under the null. With an appropriate choice of the weight matrix, the tests are shown to be consistent and to have good local power. Specific implementations involving matrices of bin and kernel weights are discussed. Finite sample properties are explored in simulations and an application to some parametric models of gasoline demand is presented.
Published: Journal of Econometrics, Vol. 96, no. 1 (2000): 1-23.
This paper is available as PDF (1254 K) or via email.
Machine-readable bibliographic record -
MARC,
RIS,
BibTeX
|
|
|
About
Support
The research activities of the NBER are funded by grants from federal research agencies, by private foundations, and by generous donations from our corporate associates and from private individuals. The NBER is a non-profit, 501(c)(3) organization. For information on supporting the NBER, please contact:
Mr. Denis Healy, Director of Development
NBER
1050 Massachusetts Avenue
Cambridge, MA 02138-5398
ph: 617-868-3900
email: dhealy@nber.org
Close