Dealing With Earnings Bracket Responses In Household Surveys - How Sharp Are Midpoint Imputations?
AbstractEarnings functions form the basis of numerous labour market analyses. Non-response (particularly among higher earners) may, however, lead to the exclusion of a significant proportion of South Africa's earnings base. Earnings brackets built into surveys intend to maintain response rates. Econometric tools to incorporate brackets vary from "simplistic" imputation to interval regressions. Coefficient differences are investigated here to establish reliable remedies. Monte-Carlo simulations suggest that "simple" methods fail only under extreme skewness and when a substantial number of right-censored observations appear in the sample. Testing procedures applied to LFS data reveal that in practice coefficients are virtually invariant to the proposed methods. Copyright (c) 2007 The Author; Journal compilation (c) Economic Society of South Africa 2007.
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Bibliographic InfoArticle provided by Economic Society of South Africa in its journal South African Journal of Economics.
Volume (Year): 75 (2007)
Issue (Month): 2 (06)
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- Derek Yu, 2013. "Some factors influencing the comparability and reliability of poverty estimates across household surveys," Working Papers 03/2013, Stellenbosch University, Department of Economics.
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