IDEAS home Printed from https://ideas.repec.org/a/spr/metron/v75y2017i3d10.1007_s40300-017-0120-4.html
   My bibliography  Save this article

Estimation of a cluster-level regression model under nonresponse within clusters

Author

Listed:
  • Nuanpan Lawson

    (King Mongkut’s University of Technology North Bangkok)

  • Chris Skinner

    (London School of Economics and Political Science)

Abstract

When sample surveys are clustered and subject to non-response, it is possible to study cluster-level association between response rates and cluster-level quantities derived from survey variables. The existence of association may suggest informative nonresponse with possible biasing effects. In this paper, this problem is studied for the case where the aim is to fit a cluster-level regression model. Two possible underlying models for nonresponse with potential biasing effects are considered. Alternative estimators of regression coefficients under these models are proposed. The properties of these estimators are studied in two simulation studies and with real data from a survey of employees, where the clusters consist of workplaces.

Suggested Citation

  • Nuanpan Lawson & Chris Skinner, 2017. "Estimation of a cluster-level regression model under nonresponse within clusters," METRON, Springer;Sapienza Università di Roma, vol. 75(3), pages 319-331, December.
    • Handle: RePEc:spr:metron:v:75:y:2017:i:3:d:10.1007_s40300-017-0120-4
    DOI: 10.1007/s40300-017-0120-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40300-017-0120-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40300-017-0120-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    3. Jae Kwang Kim & Yongchan Kwon & Myunghee Cho Paik, 2016. "Calibrated propensity score method for survey nonresponse in cluster sampling," Biometrika, Biometrika Trust, vol. 103(2), pages 461-473.
    4. Bryson, Alex & Dale-Olsen, Harald & Barth, Erling, 2009. "How does innovation affect worker well-being?," LSE Research Online Documents on Economics 27781, London School of Economics and Political Science, LSE Library.
    5. Ying Yuan & Roderick J. A. Little, 2007. "Parametric and Semiparametric Model-Based Estimates of the Finite Population Mean for Two-Stage Cluster Samples with Item Nonresponse," Biometrics, The International Biometric Society, vol. 63(4), pages 1172-1180, December.
    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. Jean D. Opsomer & M. Giovanna Ranalli & Maria Michela Dickson, 2017. "Foreword to the special issue on “Advances in Survey Statistics”," METRON, Springer;Sapienza Università di Roma, vol. 75(3), pages 245-247, December.
    2. Alok Kumar Shukla & Subhash Kumar Yadav, 2020. "New linear model for optimal cluster size in cluster sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 21(2), pages 189-200, June.
    3. Shukla Alok Kumar & Yadav Subhash Kumar, 2020. "New linear model for optimal cluster size in cluster sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 21(2), pages 189-200, June.

    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. Bettina Peters & Rebecca Riley & Iulia Siedschlag & Priit Vahter & John McQuinn, 2018. "Internationalisation, innovation and productivity in services: evidence from Germany, Ireland and the United Kingdom," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 154(3), pages 585-615, August.
    2. Jouni Kuha & Myrsini Katsikatsou & Irini Moustaki, 2018. "Latent variable modelling with non‐ignorable item non‐response: multigroup response propensity models for cross‐national analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1169-1192, October.
    3. Falco, Paolo & Haywood, Luke, 2016. "Entrepreneurship versus joblessness: Explaining the rise in self-employment," Journal of Development Economics, Elsevier, vol. 118(C), pages 245-265.
    4. Marco Grazzi & Chiara Piccardo & Cecilia Vergari, 2020. "Concordance and complementarity in IP instruments," Industry and Innovation, Taylor & Francis Journals, vol. 27(7), pages 756-788, August.
    5. Peters, Bettina & Riley, Rebecca & Siedschlag, Iulia & Vahter, Priit & McQuinn, John, 2014. "Innovation and Productivity in Services:Evidence from Germany, Ireland and the United Kingdom," Papers WP480, Economic and Social Research Institute (ESRI).
    6. Miguel Santolino & Catalina Bolancé & Manuela Alcañiz, 2011. "Factors affecting hospital admission and recovery stay duration of in-patient motor victims in Spain," IREA Working Papers 201119, University of Barcelona, Research Institute of Applied Economics, revised Oct 2011.
    7. Marco Di Cintio & Emanuele Grassi, 2016. "The returns to temporary migration: The case of Italian Ph.D.s," EERI Research Paper Series EERI RP 2016/15, Economics and Econometrics Research Institute (EERI), Brussels.
    8. Dolan, Paul & Metcalfe, Robert, 2012. "The relationship between innovation and subjective wellbeing," Research Policy, Elsevier, vol. 41(8), pages 1489-1498.
    9. Damián Tojeiro-Rivero & Rosina Moreno & Erika Badillo, 2016. "“Breakthrough innovations: The impact of foreign acquisition of knowledge”," AQR Working Papers 201610, University of Barcelona, Regional Quantitative Analysis Group, revised Nov 2016.
    10. Martin Srholec, 2011. "Understanding the heterogeneity of cooperation on innovation: Firm-level evidence from Europe," Working Papers on Innovation Studies 20111201, Centre for Technology, Innovation and Culture, University of Oslo.
    11. Kim, Gi-Soo & Paik, Myunghee Cho & Kim, Hongsoo, 2017. "Causal inference with observational data under cluster-specific non-ignorable assignment mechanism," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 88-99.
    12. Teruel, Mercedes & Segarra Blasco, Agustí, 1958-, 2018. "Gender diversity, R&D teams and patents: An application to Spanish firms," Working Papers 2072/307040, Universitat Rovira i Virgili, Department of Economics.
    13. Anna Maria Ferragina & Fernanda Mazzotta & Erol Taymaz & Kamil Yilmaz, 2013. "The Impact Of Fdi On Firm Survival And Employment: A Comparative Analysis For Turkey And Italy," ERSA conference papers ersa13p1211, European Regional Science Association.
    14. Otto Raspe & Frank Van Oort, 2014. "Entrepreneurial opportunity in innovative urban environments," Chapters, in: Charlie Karlsson & Börje Johansson & Kiyoshi Kobayashi & Roger R. Stough (ed.), Knowledge, Innovation and Space, chapter 2, pages 29-50, Edward Elgar Publishing.
    15. Coralie Perez, 2011. "Organisational change and job separation in France: endure or escape?," Documents de travail du Centre d'Economie de la Sorbonne 11073, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    16. Rachel Griffith & Stephen Redding & Helen Simpson, 2009. "Technological Catch‐Up And Geographic Proximity," Journal of Regional Science, Wiley Blackwell, vol. 49(4), pages 689-720, October.
    17. Pablo del Río & Cristina Peñasco & Desiderio Romero‐Jordán, 2015. "Distinctive Features of Environmental Innovators: An Econometric Analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 24(6), pages 361-385, September.
    18. Kawtar Dkhissi, 2014. "Impact des accords de libre échange sur la propension et l'intensité des exportations des entreprises au Maroc," Post-Print hal-01335587, HAL.
    19. M. Grazzi & C. Piccardo & C. Vergari, 2019. "Concordance and complementarity in Intellectual Property instruments," Working Papers wp1127, Dipartimento Scienze Economiche, Universita' di Bologna.
    20. Frank R. Lichtenberg, 2014. "Has Medical Innovation Reduced Cancer Mortality?," CESifo Economic Studies, CESifo Group, vol. 60(1), pages 135-177.

    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:spr:metron:v:75:y:2017:i:3:d:10.1007_s40300-017-0120-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.