IDEAS home Printed from https://ideas.repec.org/p/boc/dsug12/01.html
   My bibliography  Save this paper

Can multilevel multiprocess models be estimated using Stata? A case for the cmp command

Author

Listed:
  • Tamás Bartus

    (Corvinus University of Budapest)

Abstract

Multilevel multiprocess models are routinely used to study parallel processes of repeated demographic events, like births, union formation, and union dissolution. Multilevel multiprocess models are simultaneous equations for hazards including heterogeneity components, and the joint estimation of hazard models allows researchers to control for the effects of unobserved personality traits. Such models are routinely estimated using MLwiN and aML. In this talk, I discuss the capabilities of Stata to estimate multiprocess multilevel models. In the presentation, I focus on the application of the user-written cmp command, developed by David Roodman (SSC, 2007). The cmp command can estimate recursive systems of multilevel (random-effects) equations with correlated disturbances. I illustrate the application of the cmp command using examples from demographic research.

Suggested Citation

  • Tamás Bartus, 2012. "Can multilevel multiprocess models be estimated using Stata? A case for the cmp command," German Stata Users' Group Meetings 2012 01, Stata Users Group.
  • Handle: RePEc:boc:dsug12:01
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/dsug2012/desug12_bartus.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Øystein Kravdal, 2001. "The High Fertility of College Educated Women in Norway," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 5(6), pages 187-216.
    2. Lee A. Lillard & Constantijn W. A. Panis, 1998. "Panel Attrition from the Panel Study of Income Dynamics: Household Income, Marital Status, and Mortality," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 437-457.
    3. Michaela Kreyenfeld, 2002. "Time Squeeze, Partner Effect or Self-Selection?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 7(2), pages 15-48.
    4. Lee Lillard & Linda Waite, 1993. "A joint model of marital childbearing and marital disruption," Demography, Springer;Population Association of America (PAA), vol. 30(4), pages 653-681, November.
    5. David Roodman, 2011. "Fitting fully observed recursive mixed-process models with cmp," Stata Journal, StataCorp LP, vol. 11(2), pages 159-206, June.
    6. Lillard, Lee A., 1993. "Simultaneous equations for hazards : Marriage duration and fertility timing," Journal of Econometrics, Elsevier, vol. 56(1-2), pages 189-217, March.
    7. Lee Lillard & Michael Brien & Linda Waite, 1995. "Premarital cohabitation and subsequent marital," Demography, Springer;Population Association of America (PAA), vol. 32(3), pages 437-457, 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. Hill Kulu, 2003. "Migration and fertility: competing hypotheses re-examined," MPIDR Working Papers WP-2003-035, Max Planck Institute for Demographic Research, Rostock, Germany.
    2. Roberto Impicciatore & Gianpiero Dalla Zuanna, 2017. "The impact of education on fertility in Italy. Changes across cohorts and south–north differences," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2293-2317, September.
    3. Michelle Sheran Sylvester, 2007. "The Career and Family Choices of Women: A Dynamic Analysis of Labor Force Participation, Schooling, Marriage and Fertility Decisions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(3), pages 367-399, July.
    4. Hill Kulu, 2004. "Fertility of internal migrants: comparison between Austria and Poland," MPIDR Working Papers WP-2004-022, Max Planck Institute for Demographic Research, Rostock, Germany.
    5. Gianpiero DALLA ZUANNA & Roberto IMPICCIATORE, 2008. "Fertility and education in contemporary Northern and Southern Italy," Departmental Working Papers 2008-09, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano, revised 06 Dec 2010.
    6. Svarer, Michael, "undated". "Determinants of Divorce in Denmark," Economics Working Papers 2002-19, Department of Economics and Business Economics, Aarhus University.
    7. Alessandra Trimarchi & Jan Van Bavel, 2017. "Education and the Transition to Fatherhood: The Role of Selection Into Union," Demography, Springer;Population Association of America (PAA), vol. 54(1), pages 119-144, February.
    8. Marcantonio Caltabiano & Gianpiero Dalla Zuanna & Alessandro Rosina, 2006. "Interdependence between sexual debut and church attendance in Italy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(19), pages 453-484.
    9. Kelly Musick, 2007. "Cohabitation, nonmarital childbearing, and the marriage process," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 16(9), pages 249-286.
    10. Tamás Bartus & Lívia Murinkó & Ivett Szalma & Bernadett Szél, 2013. "The effect of education on second births in Hungary," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(1), pages 1-32.
    11. Hill Kulu & Nadja Milewski, 2007. "Family change and migration in the life course," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 17(19), pages 567-590.
    12. Francesca Michielin, 2002. "Lowest low fertility in an urban context: when migration plays a key role," MPIDR Working Papers WP-2002-050, Max Planck Institute for Demographic Research, Rostock, Germany.
    13. Nicoletta Balbo & Nicola Barban & Melinda Mills, 2013. "Friend and peer effects on entry into marriage and parenthood: A multiprocess approach," Working Papers 056, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    14. Andres Vikat, 2004. "Women’s Labor Force Attachment and Childbearing in Finland," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 3(8), pages 177-212.
    15. Natalie Nitsche & Anna Matysiak & Jan Bavel & Daniele Vignoli, 2018. "Partners’ Educational Pairings and Fertility Across Europe," Demography, Springer;Population Association of America (PAA), vol. 55(4), pages 1195-1232, August.
    16. Arnstein Aassve & Simon Burgess & Matt Dickson & Carol Propper, 2005. "Modelling Poverty by not Modelling Poverty: An Application of a Simultaneous Hazards Approach to the UK," The Centre for Market and Public Organisation 05/134, The Centre for Market and Public Organisation, University of Bristol, UK.
    17. Daniele Vignoli & Anna Matysiak & Marta Styrc & Valentina Tocchioni, 2018. "The positive impact of women’s employment on divorce: Context, selection, or anticipation?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(37), pages 1059-1110.
    18. Bohyun Jang & John Casterline & Anastasia Snyder, 2014. "Migration and marriage: Modeling the joint process," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(47), pages 1339-1366.
    19. Alessandra Trimarchi & Jan Van Bavel, 2017. "Pathways to marital and non-marital first birth: the role of his and her education," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 15(1), pages 143-179.
    20. Christine Schnor, 2014. "The Effect of Union Status at First Childbirth on Union Stability: Evidence from Eastern and Western Germany," European Journal of Population, Springer;European Association for Population Studies, vol. 30(2), pages 129-160, May.

    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:dsug12:01. 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.