Estimating Gross Flows Using Panel Data With Nonresponse: An Example From the Canadian Labour Force Survey

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Abstract
This article considers the problem of using categorical data from a panel survey in which there is nonrandom nonresponse to estimate gross flows. The methods are illustrated for the case of estimating gross flows in labor force participation using data from the Canadian Labour Force Survey. Three models are proposed that allow nonresponse to be related to employment classification, time, or both employment classification and time. Maximum likelihood estimation is used to fit the models to a single panel of Labour Force Survey data.

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