We examine inference for Generalized Entropy and Atkinson inequality measures with complex survey data, using Wald statistics with variance-covariance matrices estimated from a linearization approximation rather than the d-method. Testing the equivalence of two or more inequality measures, including sub-group decomposition indices and group shares, are covered. We illustrate with Indian data from three surveys, examining children’s height-for-age, an anthropometric measure that can indicate long-term malnutrition. Sampling involved an urban/rural stratification with clustering before selection of households. We compare the linearization complex survey outcomes with those from an incorrect iid assumption and a bootstrap that accounts for the survey design. For our samples, the results from the easy to implement linearization method and more computationally burdensome bootstrap are in close agreement.
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Paper provided by Department of Economics, University of Victoria in its series Econometrics Working Papers with number
0904.
Length: 38 pages Date of creation: 15 Jun 2009 Date of revision: Handle: RePEc:vic:vicewp:0904
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Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
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