IDEAS home Printed from https://ideas.repec.org/a/spr/stmapp/v18y2009i2p257-273.html
   My bibliography  Save this article

Estimating and using propensity score in presence of missing background data: an application to assess the impact of childbearing on wellbeing

Author

Listed:
  • Alessandra Mattei

Abstract

No abstract is available for this item.

Suggested Citation

  • Alessandra Mattei, 2009. "Estimating and using propensity score in presence of missing background data: an application to assess the impact of childbearing on wellbeing," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 257-273, July.
    • Handle: RePEc:spr:stmapp:v:18:y:2009:i:2:p:257-273
    DOI: 10.1007/s10260-007-0086-0
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10260-007-0086-0
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10260-007-0086-0?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. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
    2. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    3. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    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. Radice Rosalba & Ramsahai Roland & Grieve Richard & Kreif Noemi & Sadique Zia & Sekhon Jasjeet S., 2012. "Evaluating treatment effectiveness in patient subgroups: a comparison of propensity score methods with an automated matching approach," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-45, August.
    2. Rodriguez, Javier M., 2018. "Health disparities, politics, and the maintenance of the status quo: A new theory of inequality," Social Science & Medicine, Elsevier, vol. 200(C), pages 36-43.
    3. Daniele Bottigliengo & Giulia Lorenzoni & Honoria Ocagli & Matteo Martinato & Paola Berchialla & Dario Gregori, 2021. "Propensity Score Analysis with Partially Observed Baseline Covariates: A Practical Comparison of Methods for Handling Missing Data," IJERPH, MDPI, vol. 18(13), pages 1-17, June.
    4. Ye, Wei & Rodriguez, Javier M., 2021. "Highly vulnerable communities and the Affordable Care Act: Health insurance coverage effects, 2010–2018," Social Science & Medicine, Elsevier, vol. 270(C).

    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. Oecd, 2011. "The Impact of the 1999 Education Reform in Poland," OECD Education Working Papers 49, OECD Publishing.
    2. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    3. Paolo Naticchioni & Silvia Loriga, 2011. "Short and Long Term Evaluations of Public Employment Services in Italy," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(3), pages 201-229.
    4. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    5. Federico Biagi & Daniele Bondonio & Alberto Martini, 2015. "Counterfactual Impact Evaluation of Enterprise Support Programmes. Evidence from a Decade of Subsidies to Italian Firm," ERSA conference papers ersa15p1619, European Regional Science Association.
    6. Olivier Dagnelie & Philippe Lemay‐Boucher, 2012. "Rosca Participation in Benin: A Commitment Issue," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 235-252, April.
    7. John Bound & Michael F. Lovenheim & Sarah Turner, 2010. "Why Have College Completion Rates Declined? An Analysis of Changing Student Preparation and Collegiate Resources," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 129-157, July.
    8. Francesco Serti & Chiara Tomasi, 2008. "Self-Selection and Post-Entry Effects of Exports: Evidence from Italian Manufacturing Firms," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 144(4), pages 660-694, December.
    9. Cédric Afsa & Pauline Givord, 2009. "Le rôle des conditions de travail dans les absences pour maladie : le cas des horaires irréguliers," Économie et Prévision, Programme National Persée, vol. 187(1), pages 83-103.
    10. Ramírez-Álvarez, Aurora Alejandra, 2019. "Land titling and its effect on the allocation of public goods: Evidence from Mexico," World Development, Elsevier, vol. 124(C), pages 1-1.
    11. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    12. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 265675, Collaborative Masters Program in Agricultural and Applied Economics.
    13. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    14. Eduardo Fajnzylber & Gonzalo Reyes, 2015. "Knowledge, Information, and Retirement Saving Decisions: Evidence from a Large-Scale Intervention in Chile," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 83-117, February.
    15. Afonso, Oscar & Silva, Armando, 2012. "Non-scale endogenous growth effects of subsidies for exporters," Economic Modelling, Elsevier, vol. 29(4), pages 1248-1257.
    16. Marco Biagetti & Sergio Scicchitano, 2016. "Are women in supervisory positions more discriminated against? A multinomial approach," Working Papers 2, Department of the Treasury, Ministry of the Economy and of Finance.
    17. Victor Lavy & Analia Schlosser, 2005. "Targeted Remedial Education for Underperforming Teenagers: Costs and Benefits," Journal of Labor Economics, University of Chicago Press, vol. 23(4), pages 839-874, October.
    18. Ma, Yue & Tang, Heiwai & Zhang, Yifan, 2014. "Factor Intensity, product switching, and productivity: Evidence from Chinese exporters," Journal of International Economics, Elsevier, vol. 92(2), pages 349-362.
    19. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    20. Nolan, Anne, 2006. "Evaluating the Impact of Eligibility for Free Care on the Use of GP Services in Ireland: A Difference-in-Difference Matching Approach," Papers HRBWP25, Economic and Social Research Institute (ESRI).

    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:stmapp:v:18:y:2009:i:2:p:257-273. 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.