Jacob Hazen

Jacob Hazen is currently a Ph.D. Candidate in Economics at McGill University. He holds an MA in Economics and Data Science from Carleton University, and a BA in Economics and Computer Science from the University of Calgary. Prior to his doctoral studies, Jacob worked in both the private and public sectors, focusing on Natural Language Processing (NLP) projects. His research explores the intersections of Economics, Data Science, and Computer Science, with a particular emphasis on the applications of NLP in economic contexts.

His research interests span applied microeconomics, labor economics, applied econometrics, child development, and education.

Outside of his studies, Jacob enjoys spending most of his time outdoors. In the winter, he is a frequent hockey player, and during the warmer months, he enjoys skateboarding. He was also a competitive skateboarder before beginning his studies. Below, you can view a gallery of past photos of him.

You can find my CV here




Education

McGill University

Ph.D in Economics
● Organizations: President; Ph.D Rep. Centre Interuniversitaire de Recherche en Économie Quantitative (CIREQ)
● Awards: CRDCN Emerging Scholar Award; SSHRC Doctoral Fellowship; Graduate Excellence Award in Economics; Best Third-Year Paper Award
Aug. 2022 - Present

Carleton University

M.A. Economics & Data Science
● Thesis: Unsupervised Textual Mining Techniques for Forecasting Crude Oil
● Organizations: Co-President; Elected Departmental Steward;
● Awards: Randall Geehan Memorial Scholarship in Quantitative Economics; Departmental Merit Scholarship
Sept. 2020 - May 2022

University of Calgary

B.A. in Economics & Computer Science
● Organizations: Director for Canadian Organization for Undergraduate Health Research , 2019-2020;
● Activities: Varsity Athlete, 2017;
Sept. 2016 - May 2020

Experience

Research

Research Assistant

● Dr. Fabian Lange (McGill - 2023)
● Dr. James MacKinnon; Dr. Matthew Webb; Dr. Morten Nielsen (Carleton & Queens - 2022) Link to paper
Apex Research Group (Carleton - 2022)
● Dr. Alexander Whalley (University of Calgary - 2020)

Teaching Assistant

McGill & Carleton University

● Intro Microeconomics (McGill)
● Graduate Level Macroeconomics (Carleton)
● Graduate Level Data Science (Carleton)
● Applied Data Analysis (Carleton)
● Applied Data Analysis (Carleton)
● Econometrics(Carleton)
● Intro Microeconomics (Carleton)

Data Scientist

Infrastructure Canada

● Created interactive Power BI dashboards for the $180-billion Investing in Canada Infrastructure Plan
● Natural Language Processing research to analyze conversations in parliament and how it might impact specific socioeconomic variable
● I developed multiple dynamic web scrapers to extract information that was manually collected for parliament

May. 2021 – Aug 2022

Data Scientist - Internship

Critical Mass

● Developed Python and Machine Learning Models to predict and understand company & employee logistics, specifically making use of the Random Forest Model
● I identified key areas where the Critical Mass could perform better, allowing for increased performance and satisfaction among employees
● Worked with relational database management systems using queries and schemas (MySQL, SQL). To fetch and update sensitive data

Jan 2020 – Apr 2020

Papers

(Working Paper) Parental Bond and Child Skill Formation.

Hazen Jacob
Abstract

Temporary abstract text. This is a working paper, and the abstract will be updated in the future. This paper develops a structural model of household decision-making to study how parental time allocation, wage risk, and tax-and-transfer policies shape the socio-emotional skill formation of chil- dren. I introduce parental bond—a composite measure of parenting behaviours, emotional warmth, consistency, and inter-parental functioning—as a key input in the production of socio-emotional skills. In the model, households allocate time across work, leisure, and childcare under income shocks, which affects the parental bond and, in turn, children’s skill development. I examine how idiosyncratic wage risk and progressive tax policies alter these dynamics. This framework bridges the economics of par- enting, household behaviour, and skill formation literatures by formalizing how economic conditions and intra-household decisions interact with relational aspects of parenting. The paper is, to my knowl- edge, the first to endogenize parental bond within a dynamic household model and explore its role in the development of children’s socio-emotional skills

Image for Unraveling the Role of Socio-Emotional Skills

(Working Paper) Human Capital Development of Socio-Emotional Skills in Children.

Hazen Jacob
Abstract

This study examines the process of how socio-emotional skills in children evolve and how they predict adult outcomes. Using Canadian data from the National Longitudinal Survey of Children and Youth (NLSCY), this research estimates production functions of socio-emotional skills. Using recent advances in Latent Factor Analysis, I find a five factor model representation of socio-emotional skills, attention, conduct, prosocial, emotional, and malice problems. I find that these skills are shown to be increasingly self-productive as child ages and that parental investment are larger for these skills at earlier ages. Next, using income data from their tax files in adulthood, I show that children that have higher levels of malice problems suggest a 4% increase in earnings.

Image for Comparing Maternal Mental Health

(Working Paper, Contact for Early Draft, Jan 2025) Persistent Inequality in Maternal Mental Health.

Hazen Jacob, Saltiel Fernando
Abstract

In this paper, we analyze persistent inequality in maternal mental health by examining whether and how mothers’ latent mental health can be compared across different stages of motherhood for different groups. We introduce a measurement model for binary mental health indicators that draws on multiple measures across survey rounds, establishing identification conditions for valid cross-group and longitudinal comparisons. We implement this framework using rich longitudinal data from Peru (Young Lives Study), covering mothers’ mental health over a fifteen-year period and study inequality in mental health across Indigenous and non-Indigenous mothers. We find that mental health measures exhibit strict measurement invariance, enabling direct comparisons across groups and over time. Our results reveal that while both Indigenous and non-Indigenous mothers experience improvements in mental health after the postpartum period, the gains are substantially larger for non-Indigenous mothers, leading to widening disparities as children age. We show that differences in educational attainment and family composition explain most of the initial gap in mental health, but early postpartum mental health becomes increasingly important in driving persistent inequality through children’s adolescence.

Image for Did the Pandemic and Current Labour Shortages Change the Quality of Jobs?

(Jul. 2024) Did the Pandemic and Current Labour Shortages Change the Quality of Jobs?

Ablay Mahmut, Bissonnette Luc, Hazen Jacob, Lange Fabian
Abstract

The post-pandemic labour market has been tight, with widespread labour shortages across sectors and industries. Employers have a range of strategies for attracting and retaining workers in a more-competitive labour market, including raising wages, offering more benefits and lowering skill, education and experience requirements. This project used Canadian job ads to understand changes in the terms of employment offered to job seekers, focusing specifically on skill, education, and experience requirements, as well as job benefits, between the two-year period prior to the pandemic (2017-2019) and 2022. The project found that there had been no increase in wages in the five-year period, but that wages were more likely to be posted in job ads in 2022 than in the period prior to the pandemic. An increasing proportion of job ads included skill requirements, especially soft skills, and more included education and experience requirements. But the educational and experience requirements have become less demanding, requiring less education and fewer years of experience. The research also found that an increasing proportion of job postings include non-wage benefits, compensation-linked benefits for lower-wage jobs, and flexibility and time off benefits for higher-wage jobs. The findings from this project suggest that employers are increasingly competing for low-wage workers and that the primary method being used to attract talent is improving benefits. This bodes well for the quality of work for those in low-wage positions, but questions remain about the ability of employers to offer higher wages for these in-demand roles.


Skills

Programming Languages & Tools
     ● Python, Expert;
     ● Git, Expert;
     ● Docker, Expert;
     ● R, Proficient;
     ● SQL, Proficient
     ● Linux/Unix, Proficient;
     ● Power BI, Intermediate;
     ● Power Query, Intermediate;
     ● Java, Intermediate;
     ● STATA, Beginner;

Awards & Certifications

  • Emerging Scholar Award (Canadian Research Data Centre Network) ~ $1,200
  • Best Third-Year Paper Award, PhD (McGill)
  • SSHRC Doctoral Fellowship ~ $80,000
  • Graduate Excellence Award in Economics (McGill, PhD Funding)
  • Randall Geehan Memorial Scholarship in Quantitative Economics ~ $2,000
  • Ontario Graduate Scholarship (Awarded but declined) ~ $15,000
  • Government of Canada - Instant Award
  • Data Science - IBM Certification
  • Departmental Merit Scholarship, 2020 & 2021 - Carleton University
  • Jason Lang Scholarship
  • Alexander Rutherford Scholarship
  • Dean’s list, 2020 - University Calgary
  • 1 st Analytics Winner - Canada’s Big Data Challenge (Mentor Position)

Teachings

Introduction Micro Theory

ECON 208
Fall 2025
See past courses

Honour's Micro Theory

ECON 250D2
Fall 2024

Graduate Macroeconomics (Carleton)

ECON 5021
Fall 2021

Graduate Special Topics in Data Science (Carleton)

ECON 5880
Fall 2021

Introductory Microeconomics (Carleton)

ECON 1001
Winter 2021

Outside of Academia

Skateboard Pics
Travel Pics
Other Pics

Blog

Stayed tuned? When I have more time...