Professional portrait of Maryam Mazrooie

Ph.D. Candidate in Economics, Syracuse University

Field: Applied Econometrics; Computational Econometrics

I am a Ph.D. candidate in Economics at Syracuse University’s Maxwell School of Citizenship and Public Affairs and a Graduate Research Associate at the Center for Policy Research. My research is in applied econometrics, with a strong computational focus on numerical reliability, duration and survival models, longitudinal data, and model specification. My quantitative toolkit includes computational econometrics, generalized linear models (GLMs), likelihood-based estimation, and discrete-choice methods. My current applications study women’s employment duration, and I use Python, GAUSS, and Stata for econometric estimation and numerical analysis.

Before joining Syracuse University, my academic background was in Industrial Engineering, including master’s-level training in Socio-Economic Systems Engineering.

I am on the 2026–2027 job market.

Curriculum Vitae

CV

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Research

My research is in applied econometrics, with a strong computational focus. I study numerical reliability, likelihood-based estimation, duration and survival models, and model specification in longitudinal and repeated-spell data, with current applications to women’s employment duration.

Research Interests and Methods

Applied Econometrics; Computational Econometrics; Generalized Linear Models (GLMs); Duration and Survival Analysis; Longitudinal and Repeated-Spell Data; Likelihood-Based Estimation; Model Specification and Diagnostics.

Job Market Paper

Catastrophic Rounding in the Mixed Multiple-Spell Proportional Hazard Model: The Case of Employment for Younger Women

with Jan Ondrich

This paper studies numerical reliability in the estimation of a multiple-spell Prentice-Gloeckler-Meyer model and applies the framework to employment durations of younger women in the National Longitudinal Survey of Youth 1997. The model accommodates grouped, interval-censored durations and woman-specific unobserved heterogeneity, represented parametrically by gamma frailty or nonparametrically by a Heckman-Singer finite mixture.

The multiple-spell gamma-frailty likelihood contains alternating-sign terms that can suffer severe cancellation in finite-precision computation. The paper develops numerically stable evaluation strategies and shows why optimizer convergence alone need not establish that the accurately evaluated likelihood has been maximized. The empirical analysis also compares a flexible duration-indicator baseline with a parsimonious spell-stratified restricted cubic spline baseline and examines finite-mixture specifications across different numbers of mass points.

Methods: computational econometrics; interval-censored duration models; multiple spells; gamma frailty; finite mixtures; restricted cubic splines; numerical likelihood evaluation.

Draft available soon

Papers

Specification Tests for Women’s Employment Duration: Can One Model Fit All Family Structures?

with Jan Ondrich

Using NLSY97 employment histories, this paper asks whether one duration model fits the same woman equally well as her family circumstances change. It evaluates model adequacy across four family structures—no partner or child, partner only, child only, and both partner and child—using martingale and deviance residuals with the Skillings-Mack test, and examines remaining residual dependence with the Pesaran CD test. The analysis compares specifications without unobserved heterogeneity, gamma frailty, and Heckman-Singer finite mixtures while allowing duration dependence to vary by spell order through flexible spline baselines. Current work also examines alternative measures of children and interactions with partner status to connect specification results more directly to economic interpretation.

Focus: women’s employment duration; changing family structure; repeated spells; unobserved heterogeneity; flexible duration dependence; residual specification diagnostics.

Working Paper

Work in Progress

Spell-Varying Unobserved Heterogeneity

A planned extension examines whether unobserved heterogeneity itself varies with spell order rather than remaining fixed across all employment spells for a woman. This provides a way to study the interaction between flexible duration dependence and flexible heterogeneity in multiple-spell duration models.

Teaching

Instructor of Record

  • Introductory Macroeconomics, Syracuse University, Summer Session II 2026, Syllabus

Sole instructor of record for a fully asynchronous online course serving approximately 25 undergraduate students.

Teaching Assistant

  • Introduction to Microeconomics, Syracuse University, Spring 2024, Fall 2024, Spring 2025, and Fall 2026
  • Economics of Education, Syracuse University, Spring 2026
  • Economic Development of Africa, Syracuse University, Fall 2024 and Spring 2025
  • Labor Economics, Syracuse University, Fall 2023
  • Environmental and Resource Economics, Syracuse University, Fall 2023
  • Mathematical Economics, Syracuse University, Fall 2022 and Spring 2023