Tag Archive for 'LPD'

Updated drafts of markup and industry papers

Published on 10 Jul 2010 in academic and research. 0 Comments Tags: , , , , , , , .

We have posted updated drafts of our markup paper and our industry evidence paper.

In our markup paper, “The Cyclical Behavior of the Price-Cost Markup,” we re-estimated our marginal change in overtime hours using microdata from my Londitudinal Population Databse (LPD). We still find that markups are procyclical or acyclical, both unconditionally and conditional on demand shocks.

In our industry paper, “Industry Evidence on the Effects of Government Spending,” we significantly updated the theory and discussion, explored other industry characteristics associated such as unionization and concentration, and added analysis of the dynamic interactions. We now discuss how the growth of government spending across industries is correlated with technology and show how accounting for this correlation is essential for constructing a proper instrument for government demand.

Copies of either paper can be downloaded from my research page.

Updated draft of geographic mobility paper posted

Published on 27 Nov 2008 in academic and research. 0 Comments Tags: , , , , , .

I posted a revised version of my paper on the cyclical bias of geographic mobility, “A Longitudinal Analysis of the Current Population Survey: Assessing the Cyclical Bias of Geographic Mobility.” You can download the paper from my research page or directly by clicking on the title. Here is the abstract:

This paper assesses the implications of geographic mobility for the measurement of U.S. labor market dynamics using the Current Population Survey (CPS). Because the CPS does not follow individuals that move, estimates may be biased if the labor market behavior of movers differs systematically from that of nonmovers. I create a new database, the Longitudinal Population Database (LPD), that utilizes all longitudinal information in the CPS to form a panel data set. I use the LPD to identify persons who move and therewith estimate a bound on the bias from geographic mobility. I find that the cyclical bias arising from geographic mobility is small. At business cycle frequencies, the difference between the separation hazard rate calculated from the entire CPS sample and from a subset that are known not to have moved never exceeds 4 percent. There is little effect of mobility on the job finding hazard rate. I conclude that geographic mobility does not significantly affect CPS labor market dynamics.