IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s458506.html
 

DRM: Stata module to fit Sobel's Diagonal Reference Model (DRM)

Author

Listed:
  • Caspar Kaiser

    (Nuffield College, University of Oxford)

Programming Language

Stata

Abstract

drm is a module to estimate several versions of Sobel's (Am. Soc. Rev. 1981, 1985) diagonal reference model. Diagonal reference models are especially suited for the estimation of effects of movements across levels of categorical variables like education or social class. drm allows for a number of extensions that go beyond Sobel's most simple model. In particular, weights are allowed to vary conditional on 'destinations' and 'origins' and may be interacted with an arbitrary linear combination of covariates. Furthermore, diagonal population means may be estimated conditional on a further (set of) variable(s). Finally, next to the linear link function, drm allows for logit as well as probit links to estimate models with a binary dependent variable.

Suggested Citation

  • Caspar Kaiser, 2018. "DRM: Stata module to fit Sobel's Diagonal Reference Model (DRM)," Statistical Software Components S458506, Boston College Department of Economics, revised 23 Nov 2018.
    • Handle: RePEc:boc:bocode:s458506
    Note: This module should be installed from within Stata by typing "ssc install drm". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/d/drm.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/d/drm_logit_ll.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/d/drm_normal_ll.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/d/drm_probit_ll.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/n/nldrm_constant.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/n/nldrm_rowcol.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/d/drm.sthlp
    File Function: help file
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Engzell, Per & Ichou, Mathieu, 2019. "Status Loss: The Burden of Positively Selected Immigrants," SocArXiv qr5h7, Center for Open Science.

    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:bocode:s458506. 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.

    We have no bibliographic 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.

    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/debocus.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.