Na Young Lee

Headshot of Na Young Lee, PhD

Na Young Lee, PhD

Assistant Professor, Department of Economics

312 Carl H. Lindner Hall


Na Young is an Assistant Professor in Economics at the Carl H. Lindner College of Business.

Research Interest


Institution:  University of Southern California

Completed:  2009

Degree:  PhD

Published Contributions

Na Young Lee, Roger Moon, Qiankun Zhou,  (2017). Many IVs estimation of dynamic panel regression models with measurement error. Journal of Econometrics, 251-259.

Na Young Lee, Geert Ridder, John Strauss,  (2017). Estimation of Poverty Transition Matrices with Noisy Data. Journal of Applied Econometrics.

Na Young Lee, Roger Moon, Martin Weidner,  (2012). Analysis of Interactive Fixed Effects Dynamic Linear Panel Regression with Measurement Error. Economics Letters.

Research in progress

Title: Heterogeneous Income Profiles Model with Fixed Effects:  Incorporating Health Shocks as an Application

Description: This paper provides an alternative econometrics methodology to estimate a standard heterogeneous income profiles (HIP) model. Our alternative setup allows for the HIP coefficients to be fixed in the sense that they can be arbitrarily correlated with the explanatory variables of the HIP equation and can be treated as parameters to be estimated. This fixed effects approach is more general and less restrictive than the random effects approach, which assumes that the HIP coefficients are random and exogenous. As an empirical application, we analyze the extent to which health shocks account for the persistence of income shocks.

Status: Writing Results

Research Type: Scholarly

Title: Measurement Error and Its Impact on Estimates of Income and Consumption Dynamics

Status: Writing Results

Research Type: Scholarly

Title: Threshold Effect of Scale and Skill in Active Mutual Fund Management