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Topics in Analysis of Big Data and Complex Models

The proposed research seeks to provide researchers with new methods to study economic issues of current interest, making effective use of big datasets that are only recently available. The projects deal with issues in data preprocessing, estimation, and hypothesis testing. The emphasis is on methods with broad applicability and that can be put to practical use.

Relative Pay Comparisons in the Workplace: Field Evidence on Effort and Labor Supply

A long tradition in economics and psychology has advanced the notion that individuals care about not only their own pay, but also their pay relative to that of their co-workers. We use a field experiment with Indian manufacturing workers to test whether relative pay comparisons affect effort and labor supply. Workers perform individual production tasks, but are organized into distinct teams - defined by the type of product they produce.

Would More Information Reduce Disagreement? Theory and Applications

Disagreement is ubiquitous in society, often resulting in social conflict. Can disagreement on an issue be reduced by obtaining more information? The PI will investigate various questions related to this theme. The project beings by showing that while more information can sometimes reduce disagreement, it can also increase disagreement. The main focus is on when more information should be expected to reduce disagreement "on average".The second part of the project uses the results on disagreement to study problems in information economics.

Predoctoral Fellowships

To support fellowships of two to three months in West Africa for dissertation research.


Friday, February 1, 2019

Fellowships for Research on Iraq

To support research on Iraq. Funds can be used for international travel, but currently there are restrictions on travel to Iraq.


Friday, December 30, 2016

Fellowships for Research in Egypt

To support fellowships for doctoral students and post docs in Egypt. Fellowships are 4 to 12 months.


Monday, January 15, 2018

New Approaches for Dynamic Panel Data Analysis

The project seeks to develop new methods for modeling, estimation, and inference in panel data models with a factor error or approximate factor error structure. This error structure has roots in economics and finance, and the usual additive individual effects and time effects are special cases of this structure. Explanatory variables are correlated with unobserved factors and factor loadings.

Protected Family and Medical Job Leave: Evidence from US Administrative Data

53.3% of employed US mothers were on leave one month after having a child, versus only .8% for fathers [Han et al., 2009]. The 1993 Family and Medical Leave Act is exceptional in being a US policy mandating unpaid job-protected leave for specified family and medical reasons, including childbirth. Surprisingly little is known about the first-order labor market effects of this policy, principally for data reasons. Benefit mandates like the FMLA have costs and benefits which are notoriously difficult to assess.


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