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Quality of Statistical Match and Simulations Used in the Estimation of the Levy Institute Measure of Time and Consumption Poverty (LIMTCP) for Turkey in 2006

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  • Thomas Masterson

Abstract

The quality of match of the statistical match used in the Levy Institute Measure of Time and Consumption Poverty (LIMTCP) estimates for Turkey in 2006 is described. The match combines the 2006 Zaman Kullanim Anketi (ZKA 2006) with the 2006 Hanehalki Bütçe Anketi (HBA 2006). These are the national time-use survey and household income and expenditure surveys, respectively. The alignment of the two datasets is examined, after which various aspects of the match quality are detailed. The match is of high quality, given the nature of the source datasets. The quality of the simulation of employment gains for Turkey in 2006 is then described. All eligible adults not working for pay, as employers, or as unpaid household workers were assigned jobs. In all households that included job recipients, the time spent on household production was imputed for everyone included in the time-use survey. Household consumption was then assigned to each household in the simulation containing a job recipient. The recipient group was compared to the donor group, both in terms of demographic similarity and in terms of the imputed usual hours, earnings, and household production generated in the simulation. In both cases, the simulations were of reasonable quality, given the nature of the challenges in assessing their quality.

Suggested Citation

  • Thomas Masterson, 2013. "Quality of Statistical Match and Simulations Used in the Estimation of the Levy Institute Measure of Time and Consumption Poverty (LIMTCP) for Turkey in 2006," Economics Working Paper Archive wp_769, Levy Economics Institute.
  • Handle: RePEc:lev:wrkpap:wp_769
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    References listed on IDEAS

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    1. Hyunsub Kum & Thomas Masterson, 2008. "Statistical Matching Using Propensity Scores: Theory and Application to the Levy Institute Measure of Economic Wellbeing," Economics Working Paper Archive wp_535, Levy Economics Institute.
    2. Ajit Zacharias & Thomas Masterson & Kijong Kim, 2009. "Distributional Impact of the American Recovery and Reinvestment Act-- A Microsimulation Approach," Economics Working Paper Archive wp_568, Levy Economics Institute.
    3. Thomas Masterson, 2012. "Simulations of Full-Time Employment and Household Work in the Levy Institute Measure of Time and Income Poverty (LIMTIP) for Argentina, Chile, and Mexico," Economics Working Paper Archive wp_727, Levy Economics Institute.
    4. Thomas Masterson, 2010. "Quality of Match for Statistical Matches Used in the 1992 and 2007 LIMEW Estimates for the United States," Economics Working Paper Archive wp_618, Levy Economics Institute.
    5. Rebecca R. Andridge & Roderick J. A. Little, 2010. "A Review of Hot Deck Imputation for Survey Non‐response," International Statistical Review, International Statistical Institute, vol. 78(1), pages 40-64, April.
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    Cited by:

    1. Baris Ucar & Gianni Betti, 2016. "Longitudinal statistical matching: transferring consumption expenditure from HBS to SILC panel survey," Department of Economics University of Siena 739, Department of Economics, University of Siena.
    2. Thomas Masterson, 2014. "Quality of Statistical Match and Employment Simulations Used in the Estimation of the Levy Institute Measure of Time and Income Poverty (LIMTIP) for South Korea, 2009," Economics Working Paper Archive wp_793, Levy Economics Institute.
    3. Ajit Zacharias & Thomas Masterson & Emel Memis, 2014. "How Poor Is Turkey? And What Can Be Done About It?," Economics Public Policy Brief Archive ppb_132, Levy Economics Institute.
    4. Jerome De Henau & Susan Himmelweit, 2020. "Developing a Macro-Micro Model for Analyzing Gender Impacts of Public Policy," Economics Working Paper Archive wp_966, Levy Economics Institute.

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    More about this item

    Keywords

    Statistical Matching; Labor Force Simulation; Time Use; Household Production; Poverty; Levy Institute Measure of Time and Consumption Poverty; LIMTCP; Turkey;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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