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Analog estimation of econometric models

In: Handbook of Econometrics

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Manski, Charles F.

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Abstract

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.

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This chapter was published in: R. F. Engle & D. McFadden (ed.) Handbook of Econometrics, , chapter 43, pages 2559-2582, 1986.

This item is provided by Elsevier in its series Handbook of Econometrics with number 4-43.

Handle: RePEc:eee:ecochp:4-43

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Related research
This chapter was published in the following book, which is listed on IDEAS:
R. F. Engle & D. McFadden (ed.), 1986. "Handbook of Econometrics," Handbook of Econometrics, Elsevier, edition 1, volume 4, number 4, September. [Downloadable!] (restricted)
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Find related papers by JEL classification:
C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other

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  1. Xiaohong Chen & Oliver Linton & Ingrid Van Keilegom, 2003. "Estimation of Semiparametric Models when the Criterion Function is not Smooth," STICERD - Econometrics Paper Series /2003/450, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE. [Downloadable!]
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