Author: Todd Stinebrickner / Content Type: Working Paper / Publishing Institution: Centre for Human Capital and Productivity (CHCP), Western University / Political Geography: Canada / Publication Year: within 10 Years / Topic: Productivity

Author:: Yifan Gong, Todd Stinebrickner, and Ralph Stinebrickner
Publication Date:: 04-2020
Content Type:: Working Paper
Institution:: Centre for Human Capital and Productivity (CHCP), Western University
Abstract:: While a large literature is interested in the relationship between family and labor supply outcomes, little is known about the expectations of these objects at earlier stages. We examine these expectations, taking advantage of unique data from the Berea Panel Study. In addition to characterizing expectations, starting during college, the data details outcomes for ten years after graduation. Methodological contributions come from approaches to validate quality of survey expectations data and the recognition that expectations data, along with longitudinal data, can potentially help address endogeneity issues arising in the estimation of the causal effect of family on labor supply.
Topic:: Economics, Labor Issues, Human Capital, Family, Labor Market, and Productivity
Political Geography:: Canada and Global Focus

Author:: Lance Lochner, Todd Stinebrickner, and Utku Suleymanoglu
Publication Date:: 07-2018
Content Type:: Working Paper
Institution:: Centre for Human Capital and Productivity (CHCP), Western University
Abstract:: Using unique survey and administrative data from the Canada Student Loans Program, we document that parental support and personal savings substantially lower student loan repayment problems. We develop a theoretical model for studying student borrowing and repayment in the presence of risky labor market outcomes, moral hazard, and costly earnings verification. This framework demonstrates that non-monetary costs of applying for income-based repayment assistance are critical to understanding why resources other than earnings lead to greater repayment. We further show that eliminating these non-monetary costs may be inefficient and lead to undesirable redistribution. Empirically, we demonstrate that expanding Canada’s income-based Repayment Assistance Plan to automatically cover all borrowers would likely reduce program revenue by nearly one-half over early years of repayment. Finally, we show how student loan programs can be more efficiently designed to address heterogeneity in parental transfers in the presence of non-monetary earnings verification costs and moral hazard.
Topic:: Debt, Economics, Human Capital, Higher Education, Productivity, and Student Loans
Political Geography:: United States and Canada

Author:: Todd Stinebrickner, Ralph Stinebrickner, and Paul Sullivan
Publication Date:: 06-2018
Content Type:: Working Paper
Institution:: Centre for Human Capital and Productivity (CHCP), Western University
Abstract:: Gender differences in current and past job tasks may be crucial for understanding the gender wage gap. We use novel task data to address well-known measurement concerns, including that standard task measures assume away within-occupation gender differences in tasks. We find that unique measures of task-specific experience, in particular high-skilled information experience, are of particular importance for understanding the substantial widening of the wage gap early in the career. Highlighting the importance of these measures, traditional work-related proxies for gender differences in human capital accumulation are not informative because general work experience is similar by gender for our recent graduates.
Topic:: Economics, Gender Issues, Labor Issues, Human Capital, Higher Education, and Productivity
Political Geography:: United States and Canada

Author:: Yifan Gong, Todd Stinebrickner, and Ralph Stinebrickner
Publication Date:: 03-2018
Content Type:: Working Paper
Institution:: Centre for Human Capital and Productivity (CHCP), Western University
Abstract:: Uncertainty about future income plays a conceptually important role in college decisions. Unfortunately, characterizing how much earnings uncertainty is present for students at college entrance and how quickly this uncertainty is resolved has proven to be difficult. This paper takes advantage of unique expectations data from the Berea Panel Study to provide new evidence about this issue. We characterize initial uncertainty using survey questions that elicit the entire distribution describing one’s beliefs about future earnings at an ideal time - immediately before students began their first year courses. We characterize the amount of uncertainty that is resolved during college by taking advantage of the longitudinal nature of the expectations data. Taking advantage of a variety of additional survey questions, we provide evidence about how the resolution of income uncertainty is influenced by factors such as college GPA and college major, and also examine why much income uncertainty remains unresolved at the end of college.
Topic:: Economics, Income Inequality, Human Capital, Higher Education, and Productivity
Political Geography:: United States and Canada

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