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Sampling Studies

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Mathematical statistics --- Acceptance sampling --- AA / International- internationaal --- 304.8 --- 519.243 --- wiskundige statistiek --- Quality control --- Sampling (Statistics) --- Steekproeftheorie. --- Sampling. Sampling theory --- Acceptance sampling. --- 519.243 Sampling. Sampling theory --- Steekproeftheorie --- Statistique mathematique --- Controle de qualite

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Fish populations --- Sampling (Statistics) --- Statistical methods

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CULTURES --- TAXONOMY --- BACTERIA --- CORROSION --- CONTROL --- SAMPLING --- PROPERTIES --- CORROSION --- CULTURES --- TAXONOMY --- BACTERIA --- CORROSION --- CONTROL --- SAMPLING --- PROPERTIES --- CORROSION

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In this paper, I present a simple characterization of the sample selection bias problem that is also applicable to the conceptually distinct econometric problems that arise from truncated samples and from models with limited dependent variables. The problem of sample selection bias is fit within the conventional specification error framework of Griliches and Theil. A simple estimator is discussed that enables analysts to utilize ordinary regression methods to estimate models free of selection bias. The techniques discussed here are applied to re-estimate and test a model of female labor supply developed by the author. (1974). This paper is in three parts. In the first section, selection bias is presented within the specification error framework. In this section, general distributional assumptions are maintained. In section two, specific results are presented for the case of normal regression disturbances. Simple estimators are proposed and discussed. In the third section, empirical results are presented.

Labor supply --- Sampling (Statistics) --- Wages --- Mathematical models. --- Mathematical models.