TY - JOUR

T1 - Chapter 43 Analog estimation of econometric models

AU - Manski, Charles F.

N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.

PY - 1994

Y1 - 1994

N2 - Suppose that one wants to estimate a parameter characterizing some feature of a specified population. One has some prior information about the population and a random sample of observations. A widely applicable approach is to estimate the parameter by a sample analog; that is, by a statistic having the same properties in the sample as the parameter does in the population. If there is no such statistic, then one may choose an estimate that, in some well-defined sense, makes the known properties of the population hold as closely as possible in the sample. These are analog estimation methods. This chapter surveys some uses of analog methods to estimate two classes of econometric models, the separable and the response models.

AB - Suppose that one wants to estimate a parameter characterizing some feature of a specified population. One has some prior information about the population and a random sample of observations. A widely applicable approach is to estimate the parameter by a sample analog; that is, by a statistic having the same properties in the sample as the parameter does in the population. If there is no such statistic, then one may choose an estimate that, in some well-defined sense, makes the known properties of the population hold as closely as possible in the sample. These are analog estimation methods. This chapter surveys some uses of analog methods to estimate two classes of econometric models, the separable and the response models.

UR - http://www.scopus.com/inward/record.url?scp=70350110851&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70350110851&partnerID=8YFLogxK

U2 - 10.1016/S1573-4412(05)80012-1

DO - 10.1016/S1573-4412(05)80012-1

M3 - Review article

AN - SCOPUS:70350110851

VL - 4

SP - 2559

EP - 2582

JO - Handbook of Econometrics

JF - Handbook of Econometrics

SN - 1573-4412

ER -