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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.

Suggested Citation

  • P. Wilner Jeanty, 2010. "Using the world development indicators database for statistical analysis in Stata," Stata Journal, StataCorp LP, vol. 10(1), pages 30-45, March.
    • Handle: RePEc:tsj:stataj:v:10:y:2010:i:1:p:30-45
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    References listed on IDEAS

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    1. Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, March.
    2. Christopher F Baum & Nicholas J. Cox, 2007. "Stata tip 45: Getting those data into shape," Stata Journal, StataCorp LP, vol. 7(2), pages 268-271, June.
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    Cited by:

    1. P. Wilner Jeanty, 2011. "Managing the U.S. Census 2000 and World Development Indicators databases for statistical analysis in Stata," Stata Journal, StataCorp LP, vol. 11(4), pages 589-604, December.
    2. Ndoricimpa Arcade, 2017. "Working Paper 249 - Threshold Effects of Inflation on Economic Growth in Africa: Evidence from a Dynamic Panel Threshold Regression," Working Paper Series 2359, African Development Bank.
    3. Arcade Ndoricimpa, 2017. "Threshold Effects of Debt on Economic Growth in Africa," African Development Review, African Development Bank, vol. 29(3), pages 471-484, September.

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