IDEAS home Printed from https://ideas.repec.org/a/eee/econom/v226y2022i1p104-114.html
   My bibliography  Save this article

Minimax-regret sample design in anticipation of missing data, with application to panel data

Author

Listed:
  • Dominitz, Jeff
  • Manski, Charles F.

Abstract

Missing data problems are ubiquitous in data collection. In surveys, these problems may arise from unit response, item nonresponse, and panel attrition. Building on the Dominitz and Manski (2017) study of choice between two or more sampling processes that differ in cost and quality, we study minimax-regret sample design in anticipation of missing data, where the collected data will be used for prediction under square loss of the values of functions of two variables. The analysis imposes no assumptions that restrict unobserved outcomes. Findings are reported for prediction of the values of linear and indicator functions using panel data with attrition. We also consider choice between a panel and repeated cross sections.

Suggested Citation

  • Dominitz, Jeff & Manski, Charles F., 2022. "Minimax-regret sample design in anticipation of missing data, with application to panel data," Journal of Econometrics, Elsevier, vol. 226(1), pages 104-114.
    • Handle: RePEc:eee:econom:v:226:y:2022:i:1:p:104-114
    DOI: 10.1016/j.jeconom.2020.12.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304407620304000
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jeconom.2020.12.006?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. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
    2. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    3. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, February.
    4. Patrick Sevestre & Laszlo Matyas, 2008. "The Econometrics of Panel Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00279977, HAL.
    5. Jeff Dominitz & Charles F. Manski, 2017. "More Data or Better Data? A Statistical Decision Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(4), pages 1583-1605.
    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. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.

    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. Nicolas Hérault & Stephen P. Jenkins, 2019. "How valid are synthetic panel estimates of poverty dynamics?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 51-76, March.
    2. Dang,Hai-Anh H. & Lanjouw,Peter F., 2013. "Measuring poverty dynamics with synthetic panels based on cross-sections," Policy Research Working Paper Series 6504, The World Bank.
    3. Meng, Yang & Brennan, Alan & Purshouse, Robin & Hill-McManus, Daniel & Angus, Colin & Holmes, John & Meier, Petra Sylvia, 2014. "Estimation of own and cross price elasticities of alcohol demand in the UK—A pseudo-panel approach using the Living Costs and Food Survey 2001–2009," Journal of Health Economics, Elsevier, vol. 34(C), pages 96-103.
    4. Giertz, Seth H. & Ramezani, Rasoul, 2018. "Taxes, Wage Capitalization and the Ability of States to Redistribute Income," GLO Discussion Paper Series 291, Global Labor Organization (GLO).
    5. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.
    6. Evren Ceritoglu, 2017. "The effect of house price changes on cohort consumption in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 17(3), pages 1-99–110.
    7. W.F. Maloney & D. Lederman & J. Messina, 2011. "The Fall of Wage Flexibility," World Bank Publications - Reports 23575, The World Bank Group.
    8. Miguel Székely & Pamela Mendoza, 2017. "Patterns, Trends and Policy Implications of Private Spending on Skills Development in Mexico and the United States," IDB Publications (Working Papers) 98116, Inter-American Development Bank.
    9. Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2014. "Using repeated cross-sections to explore movements into and out of poverty," Journal of Development Economics, Elsevier, vol. 107(C), pages 112-128.
    10. Di Novi, Cinzia & Marenzi, Anna, 2019. "The smoking epidemic across generations, genders, and educational groups: A matter of diffusion of innovations," Economics & Human Biology, Elsevier, vol. 33(C), pages 155-168.
    11. Tareq Sadeq & Michel Lubrano, 2018. "The Wall’s Impact in the Occupied West Bank: A Bayesian Approach to Poverty Dynamics Using Repeated Cross-Sections," Econometrics, MDPI, vol. 6(2), pages 1-24, May.
    12. Ozdamar, Oznur & Giovanis, Eleftherios, 2014. "Valuing the Effects of Air and Noise Pollution on Health Status in Turkey," MPRA Paper 59992, University Library of Munich, Germany.
    13. Juarez-Torres, Miriam, 2015. "The Impact of Food Price Shocks on Consumption and Nutritional Patterns of Urban Mexican Households," 2015 Conference, August 9-14, 2015, Milan, Italy 211818, International Association of Agricultural Economists.
    14. Lucio Masserini & Caterina Liberati & Paolo Mariani, 2017. "Quality service in banking: a longitudinal approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 509-523, March.
    15. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2022. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 29-50, Emerald Group Publishing Limited.
    16. Sidorkin, Oleg & Vorobyev, Dmitriy, 2018. "Political cycles and corruption in Russian regions," European Journal of Political Economy, Elsevier, vol. 52(C), pages 55-74.
    17. Chiara Comolli & Fabrizio Bernardi, 2015. "The causal effect of the great recession on childlessness of white American women," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-24, December.
    18. Lederman, Daniel & Rojas, Diego, 2014. "Export shocks and the volatility of returns to schooling : evidence from twelve Latin American economies," Policy Research Working Paper Series 7144, The World Bank.
    19. Juárez-Torres, Miriam, 2013. "The Impact of Food Price Shocks on the Consumption and Nutritional Patterns of Mexican Households," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150636, Agricultural and Applied Economics Association.
    20. Javier Olivera, 2015. "Preferences for redistribution in Europe," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-18, December.

    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:eee:econom:v:226:y:2022:i:1:p:104-114. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jeconom .

    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.