Shift Restrictions and Semiparametric Estimation in Ordered Response Models

Posted: 13 Sep 2002

See all articles by Roger W. Klein

Roger W. Klein

Rutgers, The State University of New Jersey - Department of Economics

Robert P. Sherman

California Institute of Technology - Division of the Humanities and Social Sciences

Abstract

We develop a "n"-consistent and asymptotically normal estimator of the parameters (regression coefficients and threshold points) of a semiparametric ordered response model under the assumption of independence of errors and regressors. The independence assumption implies shift restrictions allowing identification of threshold points up to location and scale. The estimator is useful in various applications, particularly in new product demand forecasting from survey data subject to systematic misreporting. We apply the estimator to assess exaggeration bias in survey data on demand for a new telecommunications service.

Suggested Citation

Klein, Roger W. and Sherman, Robert P., Shift Restrictions and Semiparametric Estimation in Ordered Response Models. Available at SSRN: https://ssrn.com/abstract=312254

Roger W. Klein (Contact Author)

Rutgers, The State University of New Jersey - Department of Economics ( email )

75 Hamilton Street
New Brunswick, NJ 08901
United States

Robert P. Sherman

California Institute of Technology - Division of the Humanities and Social Sciences ( email )

1200 East California Blvd.
Pasadena, CA 91125
United States

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