Preparation of Data from the New SOEP Consumption Module: Editing, Imputation, and Smoothing
AbstractThis documentation describes the data preparation of the new consumption module in the German Socio-Economic Panel Study (SOEP) and introduces the content and structure of the generated dataset "hconsum." In 2010, the SOEP for the first time included a detailed consumption module in the household questionnaire. This documentation discusses several methodological challenges of the new module and suggests possible remedies. The methodological challenges include inconsistencies between monthly and annual consumption information, missing values, and a high incidence of heaping.
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Bibliographic InfoPaper provided by DIW Berlin, German Institute for Economic Research in its series Data Documentation with number 70.
Length: 38 p.
Date of creation: 2013
Date of revision:
SOEP; consumption; heaping; imputation; generalized beta of the second kind;
Find related papers by JEL classification:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- D30 - Microeconomics - - Distribution - - - General
- E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
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- McDonald, James B, 1984. "Some Generalized Functions for the Size Distribution of Income," Econometrica, Econometric Society, vol. 52(3), pages 647-63, May.
- Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
- Patrick Royston & Ian R. White, . "Multiple Imputation by Chained Equations (MICE): Implementation in Stata," Journal of Statistical Software, American Statistical Association, vol. 45(i04).
- Singh, S K & Maddala, G S, 1976. "A Function for Size Distribution of Incomes," Econometrica, Econometric Society, vol. 44(5), pages 963-70, September.
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