Jeff Larrimore
I am an economist for the Joint Committee on Taxation of the US Congress. I received my PhD in Economics from Cornell University in May 2010 and my Bachelors degree with an Economics and Political Science double major from Davidson College in 2004.
My primary research interests involve issues of economic inequality. They include understanding the level and trend of inequality for society as a whole (such as the share of income going to the top 1% or the population Gini coefficient) or between demographic groups (such as gender or racial earnings gaps or income gaps between people with and without disabilities), exploring how inequality differs based on how it is measured, determining factors contributing to inequality growth, and considering the consequences of inequality. As such, my interests include aspects of labor economics, health economics, public finance, gender and family economics, and the economics of education. Links and abstracts for my research is available through the CV portion of my website.
I have also worked extensively over the past several years exploring internal March CPS data to determine the impact of Census topcoding on inequality measures. As part of this project, I extended the cell-mean series for topcoded incomes back to 1976 (see Larrimore et al. 2008 for more details on this series) and a merge-file that can used to merge these cell-means into the public-use data. This series allows researchers to closely replicate from the internal CPS data with access only to the public-use data. For additional precision, there is also a series of variances of topcoded incomes in the CPS data (see Burkhauser, Feng, and Larrimore 2010 for details of this series). Please contact me if you are interested in using the cell-mean series in your research and I will happily provide you with the merge-file to simplify the process of incorporating this information into the dataset.
Contact Information
Jeff Larrimore
Joint Committee on Taxation
593 Ford House Office Bldg
Washington, DC 20515
E-mail: jhl42@cornell.edu