Using the World Development Indicators Database for Statistical Analysis in Stata
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...
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Published in | The Stata journal Vol. 10; no. 1; pp. 30 - 45 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Sage Publications, Inc
01.03.2010
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISSN: | 1536-867X 1536-8734 |
DOI: | 10.1177/1536867X1001000105 |