IDEAS home Printed from https://ideas.repec.org/a/taf/mpopst/v7y1999i3p239-278.html
   My bibliography  Save this article

Modeling approaches to the indirect estimation of migration flows: From entropy to EM

Author

Listed:
  • Frans Willekens

Abstract

The paper presents probability models to recover information on migration flows from incomplete data. Models are used to predict migration and to combine data from different sources. The parameters of the model are estimated from the data by the maximum likelihood method. If data are incomplete, an extension of the maximum likelihood method, the EM algorithm, may be applied. Two models are considered: the binomial (multinomial) model, which underlies the logit model and the logistic regression, and the Poisson model, which underlies the loglinear model, the log-rate model and the Poisson regression. The binomial model is viewed in relation to the Poisson model. By way of illustration, the probabilistic approach and the EM algorithm are applied to two different missing data problems. The first problem is the prediction of migration flows using spatial interaction models. The probabilistic approach is compared to conventional methods, such as the gravity model and entropy maximization. In fact, spatial interaction models are particular variants of log-linear models. The second problem is one of unobserved heterogeneity. A mixture model is applied to determine the relative sizes of different migrant categories.

Suggested Citation

  • Frans Willekens, 1999. "Modeling approaches to the indirect estimation of migration flows: From entropy to EM," Mathematical Population Studies, Taylor & Francis Journals, vol. 7(3), pages 239-278.
  • Handle: RePEc:taf:mpopst:v:7:y:1999:i:3:p:239-278
    DOI: 10.1080/08898489909525459
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/08898489909525459
    Download Restriction: Access to full text is restricted to subscribers.

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:dem:demres:v:37:y:2017:i:46 is not listed on IDEAS
    2. Michel Guillot & Yan Yu, 2009. "Estimating health expectancies from two cross-sectional surveys," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 21(17), pages 503-534, October.
    3. Katherine Curtis & Elizabeth Fussell & Jack DeWaard, 2015. "Recovery Migration After Hurricanes Katrina and Rita: Spatial Concentration and Intensification in the Migration System," Demography, Springer;Population Association of America (PAA), vol. 52(4), pages 1269-1293, August.

    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:taf:mpopst:v:7:y:1999:i:3:p:239-278. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/GMPS20 .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.