IDEAS home Printed from https://ideas.repec.org/p/diw/diwddc/dd70.html
   My bibliography  Save this paper

Preparation of Data from the New SOEP Consumption Module: Editing, Imputation, and Smoothing

Author

Listed:
  • Jan Marcus
  • Rainer Siegers
  • Markus M. Grabka

Abstract

This 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.

Suggested Citation

  • Jan Marcus & Rainer Siegers & Markus M. Grabka, 2013. "Preparation of Data from the New SOEP Consumption Module: Editing, Imputation, and Smoothing," Data Documentation 70, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwddc:dd70
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.428029.de/diw_datadoc_2013-070.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Singh, S K & Maddala, G S, 1976. "A Function for Size Distribution of Incomes," Econometrica, Econometric Society, vol. 44(5), pages 963-970, September.
    2. James B. McDonald, 2008. "Some Generalized Functions for the Size Distribution of Income," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 3, pages 37-55, Springer.
    3. Royston, Patrick & White, Ian R., 2011. "Multiple Imputation by Chained Equations (MICE): Implementation in Stata," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i04).
    4. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gilang Hardadi & Alexander Buchholz & Stefan Pauliuk, 2021. "Implications of the distribution of German household environmental footprints across income groups for integrating environmental and social policy design," Journal of Industrial Ecology, Yale University, vol. 25(1), pages 95-113, February.
    2. Loeffler, Max & Peichl, Andreas & Pestel, Nico & Siegloch, Sebastian & Sommer, Eric, 2014. "Documentation IZA?MOD v3.0: The IZA Policy Simulation Model," IZA Discussion Papers 8553, Institute of Labor Economics (IZA).
    3. Stefan Bach & Martin Beznoska & Viktor Steiner, 2016. "An Integrated Micro Data Base for Tax Analysis in Germany," Data Documentation 86, DIW Berlin, German Institute for Economic Research.
    4. Nico Pestel & Eric Sommer, 2017. "Shifting Taxes from Labor to Consumption: More Employment and more Inequality?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(3), pages 542-563, September.
    5. Heinz-Herbert Noll & Stefan Weick, 2015. "Consumption expenditures and subjective well-being: empirical evidence from Germany," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 62(2), pages 101-119, June.
    6. Lamarche, Pierre, 2017. "Estimating consumption in the HFCS: Experimental results on the first wave of the HFCS," Statistics Paper Series 22, European Central Bank.
    7. Groß, Marcus & Rendtel, Ulrich, 2015. "Kernel density estimation for heaped data," Discussion Papers 2015/27, Free University Berlin, School of Business & Economics.
    8. Maximilian Joseph Blömer & Andreas Peichl, 2020. "The ifo Tax and Transfer Behavioral Microsimulation Model," ifo Working Paper Series 335, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dickens, Richard & Machin, Stephen & Manning, Alan, 1998. "Estimating the effect of minimum wages on employment from the distribution of wages: A critical view," Labour Economics, Elsevier, vol. 5(2), pages 109-134, June.
    2. van den Berg, Gerard J., 2007. "On the uniqueness of optimal prices set by monopolistic sellers," Journal of Econometrics, Elsevier, vol. 141(2), pages 482-491, December.
    3. Masato Okamoto, 2014. "Interpolating the Lorenz Curve: Methods to Preserve Shape and Remain Consistent with the Concentration Curves for Components," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(2), pages 349-384, June.
    4. Cowell, Frank A. & Flachaire, Emmanuel, 2007. "Income distribution and inequality measurement: The problem of extreme values," Journal of Econometrics, Elsevier, vol. 141(2), pages 1044-1072, December.
    5. Dorothée Boccanfuso & Bernard Decaluwé & Luc Savard, 2008. "Poverty, income distribution and CGE micro-simulation modeling: Does the functional form of distribution matter?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 149-184, June.
    6. Vladimir Hlasny & Paolo Verme, 2018. "Top Incomes and Inequality Measurement: A Comparative Analysis of Correction Methods Using the EU SILC Data," Econometrics, MDPI, vol. 6(2), pages 1-21, June.
    7. Fackler, Paul L. & King, Robert P., 1987. "The Evaluation of Probability Distributions with Special Emphasis on Price Distributions Derived from Option Premiums," Regional Research Projects > 1987: S-180 Annual Meeting, March 22-25, 1987, San Antonio, Texas 272343, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    8. James B. Mcdonald & Jeff Sorensen & Patrick A. Turley, 2013. "Skewness And Kurtosis Properties Of Income Distribution Models," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(2), pages 360-374, June.
    9. Zhong, Hua & Hu, Wuyang, 2015. "Farmers’ Willingness to Engage in Best Management Practices: an Application of Multiple Imputation," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196962, Southern Agricultural Economics Association.
    10. Sung Y. Park & Anil K. Bera, 2018. "Information theoretic approaches to income density estimation with an application to the U.S. income data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 461-486, December.
    11. Dietmar Harhoff & Frederic M. Scherer & Katrin Vopel, 1997. "Exploring the Tail of Patented Invention Value Distributions," CIG Working Papers FS IV 97-27, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    12. Samuel Dastrup & Rachel Hartshorn & James McDonald, 2007. "The impact of taxes and transfer payments on the distribution of income: A parametric comparison," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(3), pages 353-369, December.
    13. Melanie Krause, 2014. "Parametric Lorenz Curves and the Modality of the Income Density Function," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 905-929, December.
    14. James Harvey, "undated". "A note on the 'Natural Rate of Subjective Inequality' hypothesis and the approximate relationship between the Gini coefficient and the Atkinson index," Discussion Papers 03/12, Department of Economics, University of York.
    15. Christophe Muller, 2001. "The Properties of the Watts Poverty Index under Lognormality," Economics Bulletin, AccessEcon, vol. 9(1), pages 1-9.
    16. Markus Jäntti & Stephen Jenkins, 2010. "The impact of macroeconomic conditions on income inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(2), pages 221-240, June.
    17. Lubrano, Michel & Ndoye, Abdoul Aziz Junior, 2016. "Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 830-846.
    18. Feng Zhu, 2005. "A nonparametric analysis of the shape dynamics of the US personal income distribution: 1962-2000," BIS Working Papers 184, Bank for International Settlements.
    19. Andrey Launov & Christian Holzner, 2005. "Search Equilibrium, Production Parameters and Social Returns to Education: Theory and Estimation," 2005 Meeting Papers 604, Society for Economic Dynamics.
    20. Kazuhiko Kakamu, 2016. "Simulation Studies Comparing Dagum and Singh–Maddala Income Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 593-605, December.

    More about this item

    Keywords

    SOEP; consumption; heaping; imputation; generalized beta of the second kind;
    All these keywords.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:diw:diwddc:dd70. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/diwbede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.