@article{Jeanty:152277,
      recid = {152277},
      author = {Jeanty, P. Wilner},
      title = {Using the world development indicators database for  statistical analysis in Stata},
      journal = {Stata Journal},
      address = {2010},
      number = {199-2016-2678},
      pages = {16},
      year = {2010},
      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.},
      url = {http://ageconsearch.umn.edu/record/152277},
      doi = {https://doi.org/10.22004/ag.econ.152277},
}