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POVIMP: Stata module to provide poverty estimates in the absence of actual consumption data

Author

Listed:
  • Hai-Anh H. Dang

    (World Bank)

  • Minh Cong Nguyen

    (World Bank)

Programming Language

Stata

Abstract

povimp provides poverty estimates in the absence of actual consumption data.

Suggested Citation

  • Hai-Anh H. Dang & Minh Cong Nguyen, 2014. "POVIMP: Stata module to provide poverty estimates in the absence of actual consumption data," Statistical Software Components S457934, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s457934
    Note: This module should be installed from within Stata by typing "ssc install povimp". 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/p/povimp.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/p/povimp.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/p/povimp.pdf
    File Function: documentation
    Download Restriction: no
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    Citations

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    Cited by:

    1. Hai-Anh H. Dang & Peter F. Lanjouw & Umar Serajuddin, 2017. "Updating poverty estimates in the absence of regular and comparable consumption data: methods and illustration with reference to a middle-income country," Oxford Economic Papers, Oxford University Press, vol. 69(4), pages 939-962.
    2. Hai-Anh H. Dang & Peter F. Lanjouw, 2018. "Poverty Dynamics in India between 2004 and 2012: Insights from Longitudinal Analysis Using Synthetic Panel Data," Economic Development and Cultural Change, University of Chicago Press, vol. 67(1), pages 131-170.
    3. Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.

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