Li Tan awarded Interdisciplinary Doctoral Fellowship by MU Census Regional Data Center

Li Tan

Doctoral candidate Li Tan has been awarded an Interdisciplinary Doctoral Fellowship through MU's Population, Education and Health Center for the upcoming academic year.

He will work with internal data from the Survey of Income Program Participation for his job market paper, titled "Imputing Top-Coded Income Data in Longitudinal Surveys."

"Essentially, I introduce an innovative, Bayesian-based imputation method that uses longitudinal information to impute incomes for high earners and improves imputation accuracy," said Tan, whose primary research interests include applied econometrics, labor economics, public economics and economics of education.

The datasets are provided through MU's Regional Data Center, which is housed in the PEHC and is part of the Federal Statistical Research Data Center. The RDC provides researchers access to restricted-use datasets for study in economics, sociology and public health, per the PEHC website.

As part of the fellowship, Tan will receive a $25,000 stipend and full tuition waiver.