Social and Behavioral Sciences Commons^™

Adjusting Imperfect Data: Overview And Case Studies, Lars Vilhuber

Lars Vilhuber

[Excerpt] In this chapter, instead of using the similarity in the cleaned datasets to investigate economic fundamentals, we focus on the differences in the underlying ‘dirty’ data. We describe two data elements that remain fundamentally different across countries, and the extent to which they differ. We then proceed to document some of the problems that affect longitudinally linked administrative data in general, and we describe some of the solutions analysts and statistical agencies have implemented, and some that they did not implement. In each case, we explain the reasons for and against implementing a particular adjustment, and explore, through a …