IDEAS home Printed from https://ideas.repec.org/p/boc/chic11/4.html
   My bibliography  Save this paper

Multilevel Regression and Poststratification in Stata

Author

Listed:
  • Maurizio Pisati

    (University of Milano-Bicocca
    Harvard School of Public Health)

  • Valeria Glorioso

    (University of Milano-Bicocca)

Abstract

Sometimes social scientists are interested in determining whether, and to what extent, the distribution of a given variable of interest Y varies across the categories of a second variable D. When the number of valid observations within one or more categories of D is small and/or collected data are affected by selection bias, relatively accurate estimates of E(Y|D) can be obtained by using a proper combination of multilevel regression modeling and poststratification, called the MrP approach (Gelman and Little 1997; Park, Gelman and Bafumi 2004; Lax and Phillips 2009). The purpose of this talk is to illustrate the main features and applications of -mrp-, a new user-written program that implements the MrP approach in Stata.

Suggested Citation

  • Maurizio Pisati & Valeria Glorioso, 2011. "Multilevel Regression and Poststratification in Stata," CHI11 Stata Conference 4, Stata Users Group.
  • Handle: RePEc:boc:chic11:4
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/chic2011/chi11_pisati.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Park, David K. & Gelman, Andrew & Bafumi, Joseph, 2004. "Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls," Political Analysis, Cambridge University Press, vol. 12(4), pages 375-385.
    2. Lax, Jeffrey R. & Phillips, Justin H., 2009. "Gay Rights in the States: Public Opinion and Policy Responsiveness," American Political Science Review, Cambridge University Press, vol. 103(3), pages 367-386, August.
    Full references (including those not matched with items on IDEAS)

    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. Facchini, Giovanni & Hatton, Timothy J. & Steinhardt, Max F., 2021. "Opening Heaven's Door: Public Opinion and Congressional Votes on the 1965 Immigration Act," IZA Discussion Papers 14934, Institute of Labor Economics (IZA).
    2. Maurizio Pisati & Valeria Glorloso, 2010. "Multilevel regression and poststratification in Stata," Italian Stata Users' Group Meetings 2010 02, Stata Users Group.
    3. Wang, Wei & Rothschild, David & Goel, Sharad & Gelman, Andrew, 2015. "Forecasting elections with non-representative polls," International Journal of Forecasting, Elsevier, vol. 31(3), pages 980-991.
    4. Dimiter Toshkov & Elitsa Kortenska, 2015. "Does Immigration Undermine Public Support for Integration in the European Union?," Journal of Common Market Studies, Wiley Blackwell, vol. 53(4), pages 910-925, July.
    5. Liwei Shan & Shihe Fu & Lu Zheng, 2017. "Corporate sexual equality and firm performance," Strategic Management Journal, Wiley Blackwell, vol. 38(9), pages 1812-1826, September.
    6. Christafore, David & Leguizamon, J. Sebastian & Leguizamon, Susane, 2013. "Are black neighborhoods less welcoming to homosexuals than white neighborhoods?," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 579-589.
    7. Kobayashi, Yoshiharu & Heinrich, Tobias & Bryant, Kristin A., 2021. "Public support for development aid during the COVID-19 pandemic," World Development, Elsevier, vol. 138(C).
    8. Lauderdale, Benjamin E. & Bailey, Delia & Blumenau, Jack & Rivers, Douglas, 2020. "Model-based pre-election polling for national and sub-national outcomes in the US and UK," International Journal of Forecasting, Elsevier, vol. 36(2), pages 399-413.
    9. Temporão, Mickael & Dufresne, Yannick & Savoie, Justin & Linden, Clifton van der, 2019. "Crowdsourcing the vote: New horizons in citizen forecasting," International Journal of Forecasting, Elsevier, vol. 35(1), pages 1-10.
    10. Marcin Hitczenko, 2015. "Identifying and evaluating sample selection bias in consumer payment surveys," Research Data Report 15-7, Federal Reserve Bank of Boston.
    11. Mertzanis, Charilaos, 2018. "Institutions, development and energy constraints," Energy, Elsevier, vol. 142(C), pages 962-982.
    12. Christopher Wratil, 2015. "Democratic Responsiveness in the European Union: the Case of the Council," LEQS – LSE 'Europe in Question' Discussion Paper Series 94, European Institute, LSE.
    13. Jonathan Gellar & Sarah Hughes & Constance Delannoy & Erin Lipman & Shirley Jeoffreys-Leach & Bobby Berkowitz & Grant J. Robertson, "undated". "Calibrated Multilevel Regression with Poststratifiction for the Analysis of SMS Survey Data," Mathematica Policy Research Reports c71d456bbf9f4026988e1a810, Mathematica Policy Research.
    14. Beth L. Fossen & David A. Schweidel & Michael Lewis, 2019. "Examining Brand Strength of Political Candidates: a Performance Premium Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 6(3), pages 63-75, December.
    15. Stadelmann, David & Torrens, Gustavo, 2020. "Who is the ultimate boss of legislators: Voters, special interest groups or parties?," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224562, Verein für Socialpolitik / German Economic Association.
    16. Jackman, Mahalia, 2019. "Religion, contact and ambivalent attitudes towards the rights of gays and lesbians in Barbados," SocArXiv 528bt, Center for Open Science.
    17. Bac, Mehmet, 2014. "Opinion expressions under social sanctions," International Review of Law and Economics, Elsevier, vol. 38(C), pages 58-71.
    18. Jacob M. Grumbach & Jamila Michener, 2022. "American Federalism, Political Inequality, and Democratic Erosion," The ANNALS of the American Academy of Political and Social Science, , vol. 699(1), pages 143-155, January.
    19. Brian F. Harrison & Melissa R. Michelson, 2015. "God and Marriage: The Impact of Religious Identity Priming on Attitudes Toward Same-Sex Marriage," Social Science Quarterly, Southwestern Social Science Association, vol. 96(5), pages 1411-1423, November.
    20. Aklin, Michaël & Bayer, Patrick & Harish, S.P. & Urpelainen, Johannes, 2013. "Understanding environmental policy preferences: New evidence from Brazil," Ecological Economics, Elsevier, vol. 94(C), pages 28-36.

    More about this item

    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:boc:chic11:4. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.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.