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Using the world development indicators database for statistical analysis in Stata

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  • P. Wilner Jeanty

    ()
    (The Ohio State University)

Abstract

The World Bank’s world development indicators (WDI) compilation is a rich and widely used database about the development of most economies in the world. However, after insheeting a WDI dataset, some data management is required prior to performing statistical analysis. In this article, I propose a new Stata command, wdireshape, for automating this data management. While reshaping a WDI dataset into structures amenable to panel data, seeming unrelated regression, or cross-sectional modeling, wdireshape renames the series and places the series descriptors into variable labels. Copyright 2010 by StataCorp LP.

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Bibliographic Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 10 (2010)
Issue (Month): 1 (March)
Pages: 30-45

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Handle: RePEc:tsj:stataj:v:10:y:2010:i:1:p:30-45

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Related research

Keywords: wdireshape; paverage; world development indicators; reshape; panel data; seeming unrelated regression;

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