IDEAS home Printed from https://ideas.repec.org/p/iab/iabdpa/201715.html
   My bibliography  Save this paper

Does participating in a panel survey change respondents' labor market behavior?

Author

Listed:
  • Bach, Ruben L.

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Eckman, Stephanie

    (RTI International, Washington, D.C.)

Abstract

"Panel survey participation can bring about unintended changes in respondents' behavior and/or reporting of behavior. Using administrative data linked to a large panel survey, we analyze changes in respondents' labor market behavior. We estimate the causal effect of panel participation on the take-up of federal labor market programs using instrumental variables. Results show that panel survey participation leads to a decrease in respondents' take-up of these measures. These results suggest that panel survey participation not only affects the reporting of behavior, as previous studies have demonstrated, but can also alter respondents' actual behavior." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Bach, Ruben L. & Eckman, Stephanie, 2017. "Does participating in a panel survey change respondents' labor market behavior?," IAB-Discussion Paper 201715, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  • Handle: RePEc:iab:iabdpa:201715
    as

    Download full text from publisher

    File URL: https://doku.iab.de/discussionpapers/2017/dp1517.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey E. Zabel, 1998. "An Analysis of Attrition in the Panel Study of Income Dynamics and the Survey of Income and Program Participation with an Application to a Model of Labor Market Behavior," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 479-506.
    2. Sharad Borle & Utpal M. Dholakia & Siddharth S. Singh & Robert A. Westbrook, 2007. "The Impact of Survey Participation on Subsequent Customer Behavior: An Empirical Investigation," Marketing Science, INFORMS, vol. 26(5), pages 711-726, 09-10.
    3. Marcel Das & Vera Toepoel & Arthur van Soest, 2011. "Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys," Sociological Methods & Research, , vol. 40(1), pages 32-56, February.
    4. Bruno Crépon & Gerard J. van den Berg, 2016. "Active Labor Market Policies," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 521-546, October.
    5. Alan Gerber & Anton Orlich & Jennifer Smith, 2003. "Self-prophecy effects and voter turnout: An experimental replication," Natural Field Experiments 00333, The Field Experiments Website.
    6. Andrew Halpern-Manners & John Robert Warren & Florencia Torche, 2017. "Panel Conditioning in the General Social Survey," Sociological Methods & Research, , vol. 46(1), pages 103-124, January.
    7. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413, September.
    8. Andrew Halpern-Manners & John Warren, 2012. "Panel Conditioning in Longitudinal Studies: Evidence From Labor Force Items in the Current Population Survey," Demography, Springer;Population Association of America (PAA), vol. 49(4), pages 1499-1519, November.
    9. Bernd Fitzenberger & Aderonke Osikominu & Robert Völter, 2006. "Imputation Rules to Improve the Education Variable in the IAB Employment Subsample," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 126(3), pages 405-436.
    10. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    11. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    12. Trappmann, Mark & Beste, Jonas & Bethmann, Arne & Müller, Gerrit, 2013. "The PASS panel survey after six waves," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(4), pages 275-281.
    13. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    14. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    15. An, Weihua & Wang, Xuefu, 2016. "LARF: Instrumental Variable Estimation of Causal Effects through Local Average Response Functions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 71(c01).
    16. repec:iab:iabfme:200503(en is not listed on IDEAS
    17. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    18. Donald B. Rubin, 1977. "Assignment to Treatment Group on the Basis of a Covariate," Journal of Educational and Behavioral Statistics, , vol. 2(1), pages 1-26, March.
    19. Meurs, Henk & Van Wissen, Leo & Visser, Jacqueline, 1989. "Measurement Biases in Panel Data," University of California Transportation Center, Working Papers qt00q1x266, University of California Transportation Center.
    20. Morwitz, Vicki G & Johnson, Eric J & Schmittlein, David C, 1993. "Does Measuring Intent Change Behavior?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(1), pages 46-61, June.
    21. Granberg, Donald & Holmberg, Sören, 1992. "The Hawthorne Effect in Election Studies: The Impact of Survey Participation on Voting," British Journal of Political Science, Cambridge University Press, vol. 22(2), pages 240-247, April.
    22. repec:iab:iabfda:201006(en is not listed on IDEAS
    23. Mark Trappmann & Jonas Beste & Arne Bethmann & Gerrit Müller, 2013. "The PASS panel survey after six waves [Die PASS-Panelbefragung nach sechs Wellen]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 46(4), pages 275-281, December.
    24. Eduardo A. Haddad & Jaime Bonet & Geoffrey J. D. Hewings, 2023. "Introduction and Overview," Advances in Spatial Science, in: Eduardo A. Haddad & Jaime Bonet & Geoffrey J. D. Hewings (ed.), The Colombian Economy and Its Regional Structural Challenges, chapter 0, pages 1-16, Springer.
    25. Solon, Gary, 1986. "Effects of Rotation Group Bias on Estimation of Unemployment," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 105-109, January.
    26. Promberger, Markus & Achatz, Juliane & Hirseland, Andreas & Schnell, Rainer & Rudolph, Helmut & Trappmann, Mark & Wenzel, Ulrich & Promberger, Markus, 2007. "Neue Daten für die Sozialstaatsforschung : zur Konzeption der IAB-Panelerhebung "Arbeitsmarkt und Soziale Sicherung"," IAB-Forschungsbericht 200712, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    27. Meurs, Henk & Van Wissen, Leo & Visser, Jacqueline, 1989. "Measurement Biases in Panel Data," University of California Transportation Center, Working Papers qt4095q216, University of California Transportation Center.
    28. repec:iab:iabfme:201109(de is not listed on IDEAS
    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. Hutter, Christian & Weber, Enzo, 2017. "The effects of skill-biased technical change on productivity flattening and hours worked," IAB-Discussion Paper 201732, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Carbonero, Francesco & Offermanns, Christian J. & Weber, Enzo, 2017. "The fall of the labour income share: the role of technological change and imperfect labour markets," IAB-Discussion Paper 201728, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    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. John Robert Warren & Andrew Halpern-Manners, 2012. "Panel Conditioning in Longitudinal Social Science Surveys," Sociological Methods & Research, , vol. 41(4), pages 491-534, November.
    2. Andrew Halpern-Manners & John Warren, 2012. "Panel Conditioning in Longitudinal Studies: Evidence From Labor Force Items in the Current Population Survey," Demography, Springer;Population Association of America (PAA), vol. 49(4), pages 1499-1519, November.
    3. repec:iab:iabfda:201307(en is not listed on IDEAS
    4. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    5. Stephan Litschig & Yves Zamboni, 2008. "Judicial presence and rent extraction," Economics Working Papers 1143, Department of Economics and Business, Universitat Pompeu Fabra, revised Dec 2012.
    6. Weihua An & Ying Ding, 2018. "The Landscape of Causal Inference: Perspective From Citation Network Analysis," The American Statistician, Taylor & Francis Journals, vol. 72(3), pages 265-277, July.
    7. Bethmann, Arne (Hrsg.) & Fuchs, Benjamin (Hrsg.) & Wurdack, Anja (Hrsg.) & Beste, Jonas (Mitarb.) & Trappmann, Mark (Mitarb.) & Müller, Gerrit (Mitarb.) & Eggs, Johannes (Mitarb.) & Gundert, Stefanie , 2013. "User guide "Panel Study Labour Market and Social Security" (PASS) : wave 6," FDZ Datenreport. Documentation on Labour Market Data 201307_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    8. Gelo, Dambala & Muchapondwa, Edwin & Koch, Steven F., 2016. "Decentralization, market integration and efficiency-equity trade-offs: Evidence from Joint Forest Management in Ethiopian villages," Journal of Forest Economics, Elsevier, vol. 22(C), pages 1-23.
    9. Lechner, Michael, 2013. "Treatment effects and panel data," Economics Working Paper Series 1314, University of St. Gallen, School of Economics and Political Science.
    10. Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, Institute of Labor Economics (IZA).
    11. McLaughlin, Joanne Song, 2017. "Does Communist party membership pay? Estimating the economic returns to party membership in the labor market in China," Journal of Comparative Economics, Elsevier, vol. 45(4), pages 963-983.
    12. Eva Deuchert & Martin Huber, 2017. "A Cautionary Tale About Control Variables in IV Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(3), pages 411-425, June.
    13. Firpo, Sergio Pinheiro & Pinto, Rafael de Carvalho Cayres, 2012. "Combining Strategies for the Estimation of Treatment Effects," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 32(1), March.
    14. Seojeong Lee, 2018. "A Consistent Variance Estimator for 2SLS When Instruments Identify Different LATEs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 400-410, July.
    15. Itzhak Ben-DAVID & Francesco A. FRANZONI & Rabih MOUSSAWI & John SEDUNOV III, 2015. "The Granular Nature of Large Institutional Investors," Swiss Finance Institute Research Paper Series 15-67, Swiss Finance Institute, revised Apr 2016.
    16. Giorgio d’Agostino & John Paul Dunne & Luca Pieroni, 2019. "Military Expenditure, Endogeneity and Economic Growth," Defence and Peace Economics, Taylor & Francis Journals, vol. 30(5), pages 509-524, July.
    17. Donald, Stephen G. & Hsu, Yu-Chin & Lieli, Robert P., 2014. "Inverse probability weighted estimation of local average treatment effects: A higher order MSE expansion," Statistics & Probability Letters, Elsevier, vol. 95(C), pages 132-138.
    18. Peter Hull & Michal Kolesár & Christopher Walters, 2022. "Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
    19. Gerard J. Van den Berg & Iris Kesternich & Gerrit Müller & Bettina Siflinger, 2019. "Reciprocity and the Interaction between the Unemployed and the Caseworker," CESifo Working Paper Series 7947, CESifo.
    20. Duncan Chaplin & Arif Mamun & Ali Protik & John Schurrer & Divya Vohra & Kristine Bos & Hannah Burak & Laura Meyer & Anca Dumitrescu & Christopher Ksoll & Thomas Cook, "undated". "Grid Electricity Expansion in Tanzania by MCC: Findings from a Rigorous Impact Evaluation, Final Report," Mathematica Policy Research Reports 144768f69008442e96369195e, Mathematica Policy Research.
    21. Tom Boot & Didier Nibbering, 2024. "Inference on LATEs with covariates," Papers 2402.12607, arXiv.org, revised Nov 2024.

    More about this item

    Keywords

    Bundesrepublik Deutschland ; Erwerbsverhalten ; Antwortverhalten ; Teilnehmer ; Arbeitslose ; arbeitsmarktpolitische Maßnahme ; Verhaltensänderung ; IAB-Haushaltspanel ; 2006-2009;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    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:iab:iabdpa:201715. 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: IAB, Geschäftsbereich Wissenschaftliche Fachinformation und Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/iabbbde.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.