Copyright (c) 2009 All rights reserved. http://works.bepress.com/lars_vilhuber Recent documents in Lars Vilhuber en-us Sun, 31 May 2009 08:20:31 PDT 3600 http://works.bepress.com/lars_vilhuber/3 http://works.bepress.com/lars_vilhuber/3 Tue, 19 Aug 2008 10:35:51 PDT [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 select set of case studies, how each adjustment or absence thereof might affect the data. By giving the reader a look behind the scenes, we intend to strengthen the reader's understanding of the data. Thus equipped, the reader can form his or her own opinion as to the degree of comparability of the findings across the different countries. Lars Vilhuber http://works.bepress.com/lars_vilhuber/2 http://works.bepress.com/lars_vilhuber/2 Fri, 14 Mar 2008 10:27:10 PDT [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 select set of case studies, how each adjustment or absence thereof might affect the data. By giving the reader a look behind the scenes, we intend to strengthen the reader's understanding of the data. Thus equipped, the reader can form his or her own opinion as to the degree of comparability of the findings across the different countries. Lars Vilhuber http://works.bepress.com/lars_vilhuber/1 http://works.bepress.com/lars_vilhuber/1 Fri, 14 Mar 2008 10:14:17 PDT Using a unique dataset based on individual Unemployment Insurance wage records for Illinois in the 1990s that are matched to other Census data, the authors analyze the extent to which escape from or entry into low earnings among adult workers was associated with changes in their employers and firm characteristics. The results show considerable mobility into and out of low earnings status, even for adults. They indicate that job changes were an important part of the process by which workers escaped or entered low-wage status, and that changes in employer characteristics help to account for these job changes. Matches between personal and firm characteristics also contributed to observed earnings outcomes. Harry J. Holzer