Using the world development indicators database for statistical analysis in Stata
P. Wilner Jeanty
Department of Agricultural, Environmental, and Development Economics
The Ohio State University
Columbus, OH
[email protected]
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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.
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P. Wilner Jeanty
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wdireshape, paverage, world development indicators, reshape, panel data, seeming unrelated regression
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