CV
Education
- M.A. in Economics, Cornell University, 2019
- B.B.A. in Economics, Finance, Business, Baylor University 2014
Work experience
- Freddie Mac
- Quantitative Analytics - Jan 2023 to Present
- Model risk manager for housing price indexing and forecasting models.
- US Census Bureau November 2019 to Present: Statistician
- Statistician - November 2019 to Jan 2023
- Developed and maintained the Census Bureau’s tax model for the Current Population Survey and Supplemental Poverty Measure report. Researched income dynamics using survey data linked administrative data.
- Cornell University Labor Dynamics Institute
- Graduate Research Assistant - Aug 2017 to May 2019
- Applied privacy-preserving algorithms to real large-scale databases. Replicated the construction of the synthetic Longitudinal Business Database (synLBD) for privacy protection and statistical accuracy. Conducted replication exercises to illuminate the feasible scale of accurate, confidentiality-protected queries that can be addressed to large, sparse databases.
- Federal Reserve Bank of Dallas
- Research Analyst - Jun 2014 to Jul 2016
- Programmed econometric and statistical models and solved data structure problems involving large, and often sparse and inconsistent, panel data. Provided further research support for FOMC meetings, national economic briefings, Board of Directors’ presentations, Bank publications, ad hoc memoranda, and academic papers.
Working Papers
- Lin, Daniel. 2022. “Methods and Assumptions of the CPS ASEC Tax Model.” Census Bureau SEHSD Working Paper No. FY 2022-18.
- Bee, Adam, Charles Hokayem, and Daniel Lin. 2022. “Modeling the 2021 Child Tax Credit Expansion.” Census Bureau SEHSD Working Paper No. FY 2022-17.
- Bee, Adam, Charles Hokayem, and Daniel Lin. 2021. “Imputing 2020 Economic Impact Payments in the 2021 CPS ASEC.” Census Bureau SEHSD Working Paper No. FY 2021-18.
Teaching
- Lecturer - Computational Tools for Social Scientists
- Summer 2018
- Cornell University
- Teaching Assistant - Game Theory
- Fall 2013 to Spring 2014
- Baylor University