IDEAS home Printed from https://ideas.repec.org/p/rtv/ceisrp/64.html
   My bibliography  Save this paper

Survey Response and Survey Characteristics: Micro-level Evidence from the European Commission Household Panel

Author

Listed:
  • Cheti Nicoletti

    (University of Essex - Institute for Social and Economic Research (ISER))

  • Franco Peracchi

    (University of Rome II - Centre for International Studies on Economic Growth (CEIS))

  • Vincenzo Atella

    (University of Rome II - Faculty of Economics)

Abstract

No abstract is available for this item.

Suggested Citation

  • Cheti Nicoletti & Franco Peracchi & Vincenzo Atella, 2005. "Survey Response and Survey Characteristics: Micro-level Evidence from the European Commission Household Panel," CEIS Research Paper 64, Tor Vergata University, CEIS.
  • Handle: RePEc:rtv:ceisrp:64
    as

    Download full text from publisher

    File URL: https://ceistorvergata.it/RePEc/rpaper/No-64-Nicoletti-Peracchi.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    2. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    3. Pamela Campanelli & Colm O'Muircheartaigh, 2002. "The Importance of Experimental Control in Testing the Impact of Interviewer Continuity on Panel Survey Nonresponse," Quality & Quantity: International Journal of Methodology, Springer, vol. 36(2), pages 129-144, May.
    4. JM Abowd & Bruno Crépon & Francis Kramarz, 1997. "Moment Estimation with Attrition," Working Papers 97-35, Center for Research in Economics and Statistics.
    5. Franco Peracchi, 2002. "The European Community Household Panel: A review," Empirical Economics, Springer, vol. 27(1), pages 63-90.
    6. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
    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. Peter Lugtig, 2014. "Panel Attrition," Sociological Methods & Research, , vol. 43(4), pages 699-723, November.
    2. Leonardo Becchetti & Pierluigi Conzo & Fabio Pisani, 2018. "Education and health in Europe," Applied Economics, Taylor & Francis Journals, vol. 50(12), pages 1362-1377, March.
    3. Becchetti, Leonardo & Conzo, Pierluigi & Salustri, Francesco, 2017. "The impact of health expenditure on the number of chronic diseases," Health Policy, Elsevier, vol. 121(9), pages 955-962.
    4. Crossley, Thomas F. & Fisher, Paul & Low, Hamish, 2021. "The heterogeneous and regressive consequences of COVID-19: Evidence from high quality panel data," Journal of Public Economics, Elsevier, vol. 193(C).
    5. Adrian Chadi, 2019. "Dissatisfied with life or with being interviewed? Happiness and the motivation to participate in a survey," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(3), pages 519-553, October.
    6. Sarah Brown & Mark N. Harris & Preety Srivastava & Karl Taylor, 2018. "Mental Health and Reporting Bias: Analysis of the GHQ - 12," Working Papers 2018013, The University of Sheffield, Department of Economics.
    7. Andrew M. Jones & Xander Koolman & Nigel Rice, 2006. "Health‐related non‐response in the British Household Panel Survey and European Community Household Panel: using inverse‐probability‐weighted estimators in non‐linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 543-569, July.
    8. María Angeles Davia & Oscar D. Marcenaro Gutiérrez, 2008. "Exploring the link between employment search time and reservation," Hacienda Pública Española / Review of Public Economics, IEF, vol. 186(3), pages 91-121, October.
    9. Sarah Brown & Mark N. Harris & Christopher Spencer & Karl Taylor, 2020. "Financial Expectations and Household Consumption: Does Middle Inflation Matter?," Working Papers 2020002, The University of Sheffield, Department of Economics.
    10. Eric J. Tchetgen Tchetgen & Kathleen E. Wirth, 2017. "A general instrumental variable framework for regression analysis with outcome missing not at random," Biometrics, The International Biometric Society, vol. 73(4), pages 1123-1131, December.
    11. María A. Davia & Óscar D. Marcenaro-Gutiérrez, 2007. "Exploring the link between employment search time and reservation wages in Southern Europe," Economic Working Papers at Centro de Estudios Andaluces E2007/13, Centro de Estudios Andaluces.
    12. Hanly, Mark & Clarke, Paul & Steele, Fiona, 2016. "Sequence analysis of call record data: exploring the role of different cost settings," LSE Research Online Documents on Economics 64896, London School of Economics and Political Science, LSE Library.
    13. Annamaria Bianchi & Silvia Biffignandi, 2019. "Social Indicators to Explain Response in Longitudinal Studies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 931-957, February.
    14. Jorik Vergauwen & Jonas Wood & David De Wachter & Karel Neels, 2015. "Quality of demographic data in GGS Wave 1," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(24), pages 723-774.

    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. Nicoletti, Cheti & Peracchi, Franco, 2004. "Survey response and survey characteristics: Micro-level evidence from the ECHP," Economics & Statistics Discussion Papers esdp04015, University of Molise, Department of Economics.
    2. Marco Francesconi & Cheti Nicoletti, 2006. "Intergenerational mobility and sample selection in short panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1265-1293, December.
    3. Nicoletti, Cheti & Peracchi, Franco, 2002. "A cross-country comparison of survey nonparticipation in the ECHP -ISER working paper-," ISER Working Paper Series 2002-32, Institute for Social and Economic Research.
    4. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 2001. "Combining Panel Data Sets with Attrition and Refreshment Samples," Econometrica, Econometric Society, vol. 69(6), pages 1645-1659, November.
    5. Michael Fertig & Stefanie Schurer, 2007. "Earnings Assimilation of Immigrants in Germany: The Importance of Heterogeneity and Attrition Bias," SOEPpapers on Multidisciplinary Panel Data Research 30, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Dan A. Black & Lars Skipper & Jeffrey A. Smith & Jeffrey Andrew Smith, 2023. "Firm Training," CESifo Working Paper Series 10268, CESifo.
    7. Behr Andreas, 2006. "Comparing Estimation Strategies for Income Equations in the Presence of Panel Attrition: Empirical Results Based on the ECHP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(4), pages 361-384, August.
    8. 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.
    9. Fertig, Michael & Schurer, Stefanie, 2007. "Labour Market Outcomes of Immigrants in Germany – The Importance of Heterogeneity and Attrition Bias," Ruhr Economic Papers 20, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Martin Huber, 2014. "Treatment Evaluation in the Presence of Sample Selection," Econometric Reviews, Taylor & Francis Journals, vol. 33(8), pages 869-905, November.
    11. Giuseppe De Luca & Franco Peracchi, 2012. "Estimating Engel curves under unit and item nonresponse," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(7), pages 1076-1099, November.
    12. Omar Paccagnella, 2011. "Anchoring vignettes with sample selection due to non‐response," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 665-687, July.
    13. Giuseppe De Luca & Franco Peracchi, 2007. "A sample selection model for unit and item nonresponse in cross-sectional surveys," CEIS Research Paper 95, Tor Vergata University, CEIS.
    14. Shin, Jaeun & Moon, Sangho, 2006. "Fertility, relative wages, and labor market decisions: A case of female teachers," Economics of Education Review, Elsevier, vol. 25(6), pages 591-604, December.
    15. Cheti Nicoletti, 2010. "Poverty analysis with missing data: alternative estimators compared," Empirical Economics, Springer, vol. 38(1), pages 1-22, February.
    16. Nicoletti, Cheti & Buck, Nick, 2004. "Explaining interviewee contact and co-operation in the British and German Household Panels," ISER Working Paper Series 2004-06, Institute for Social and Economic Research.
    17. Paul Ellickson & Sanjog Misra, 2012. "Enriching interactions: Incorporating outcome data into static discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 1-26, March.
    18. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
    19. Haiyang Lu & Peng Nie & Alfonso Sousa-Poza, 2021. "The Effect of Parental Educational Expectations on Adolescent Subjective Well-Being and the Moderating Role of Perceived Academic Pressure: Longitudinal Evidence for China," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(1), pages 117-137, February.
    20. S. I. Dolgikh & B. S. Potanin, 2023. "The Impact of Public Administration on the Efficiency of Russian Firms," Studies on Russian Economic Development, Springer, vol. 34(1), pages 59-67, February.

    More about this item

    Keywords

    Panel data; survey response; bivariate probit model;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    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:rtv:ceisrp:64. 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: Barbara Piazzi (email available below). General contact details of provider: https://edirc.repec.org/data/csrotit.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.