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- All Subjects: Labor Economics
- Creators: Silverman, Daniel
Description
This dissertation comprises three chapters.
In chapter one, using a rich dataset for the United States, I estimate a series of models to document the birth order effects on cognitive outcomes, non-cognitive outcomes, and parental investments. I estimate a model that allows for heterogeneous birth order effects by unobservables to examine how birth order effects varies across households. I find that first-born children score 0.2 of a standard deviation higher on cognitive and non-cognitive outcomes than their later-born siblings. They also receive 10\% more in parental time, which accounts for more than half of the differences in outcomes. I document that birth order effects vary between 0.1 and 0.4 of a standard deviation across households with the effects being smaller in households with certain characteristics such as a high income.
In chapter two, I build a model of intra-household resource allocation that endogenously generates the decreasing birth order effects in household income with the aim of using the model for counterfactual policy experiments. The model has a life-cycle framework in which a household with two children confronts a sequence of time constraints and a lifetime monetary constraint, and divides the available time and monetary resources between consumption and investment. The counterfactual experiment shows that an annual income transfer of 10,000 USD to low-income households decreases the birth order effects on cognitive and non-cognitive skills by one-sixth, which is five times bigger than the effect in high-income household.
In chapter three, with Francesco Agostinelli and Matthew Wiswall, we examine the relative importance of investments at home and at school during an important transition for many children, entering formal schooling at kindergarten. Moreover, our framework allows for complementarities between children's skills and investments from schools. We find that investments from schools are an important determinant of children's skills at the end of kindergarten, whereas parental investments, although strongly correlated with end-of-kindergarten outcomes, have smaller effects. In addition, we document a negative complementarity between children's skills at kindergarten entry and investments from schools, implying that low-skill children benefit the most from an increase in the quality of schools.
In chapter one, using a rich dataset for the United States, I estimate a series of models to document the birth order effects on cognitive outcomes, non-cognitive outcomes, and parental investments. I estimate a model that allows for heterogeneous birth order effects by unobservables to examine how birth order effects varies across households. I find that first-born children score 0.2 of a standard deviation higher on cognitive and non-cognitive outcomes than their later-born siblings. They also receive 10\% more in parental time, which accounts for more than half of the differences in outcomes. I document that birth order effects vary between 0.1 and 0.4 of a standard deviation across households with the effects being smaller in households with certain characteristics such as a high income.
In chapter two, I build a model of intra-household resource allocation that endogenously generates the decreasing birth order effects in household income with the aim of using the model for counterfactual policy experiments. The model has a life-cycle framework in which a household with two children confronts a sequence of time constraints and a lifetime monetary constraint, and divides the available time and monetary resources between consumption and investment. The counterfactual experiment shows that an annual income transfer of 10,000 USD to low-income households decreases the birth order effects on cognitive and non-cognitive skills by one-sixth, which is five times bigger than the effect in high-income household.
In chapter three, with Francesco Agostinelli and Matthew Wiswall, we examine the relative importance of investments at home and at school during an important transition for many children, entering formal schooling at kindergarten. Moreover, our framework allows for complementarities between children's skills and investments from schools. We find that investments from schools are an important determinant of children's skills at the end of kindergarten, whereas parental investments, although strongly correlated with end-of-kindergarten outcomes, have smaller effects. In addition, we document a negative complementarity between children's skills at kindergarten entry and investments from schools, implying that low-skill children benefit the most from an increase in the quality of schools.
ContributorsSaharkhiz, Morteza (Author) / Silverman, Daniel (Thesis advisor) / Wiswall, Matthew (Thesis advisor) / Aucejo, Esteban (Committee member) / Veramendi, Gregory (Committee member) / Arizona State University (Publisher)
Created2018
Description
Are heterogeneous labor market outcomes a product of markets efficiently allocating resources or the result of structural market failures which should be corrected through well-crafted policy? In order to address this fundamental question in modern economics, we must first understand the forces which shape individuals' earnings, employment, and occupational choices. This collection of essays provides new evidence to support several novel channels which influence labor markets. First, I evaluate the connection between technological change and labor market outcomes by bringing new data and methods to study the mechanization of American agriculture in the early 20th century. Using an instrumental variables estimation strategy, I find that exogenous increases in exposure to technological change generated occupational displacement for incumbent laborers, increased income inequality, and had important impacts on intergenerational mobility for the children of affected workers. Additionally, I investigate the connection between low-opportunity neighborhoods and public housing residents' labor market outcomes. Leveraging quasi-random variation in neighborhood quality due to a public housing demolition, I find that residents' wages increased after moving to higher-opportunity neighborhoods and that more intense supportive services improved post-move employment. Taken together, these essays provide new evidence that both large-scale factors like new technologies and local factors like neighborhood quality contribute to heterogeneity in labor market outcomes both historically and up to the present day.
ContributorsFrench, Jacob (Author) / Zafar, Basit (Thesis advisor) / Aucejo, Esteban (Thesis advisor) / Silverman, Daniel (Committee member) / Herrendorf, Berthold (Committee member) / Arizona State University (Publisher)
Created2022
Description
Environmental regulations such as carbon taxation and air quality standards can lead to notable improvements in health outcomes and ambient air quality. However, these types of policies may have significant impacts on the labor market, in particular for workers in energy-intensive industries, especially if these workers have acquired specific human capital in those industries. This dissertation focuses on the general equilibrium consequences of environmental regulation on the labor market. Specifically, I examine costly reallocation of workers between sectors, the welfare effects of involuntary unemployment, and the heterogeneous effects of this policy on different types of workers. To this end, I develop a two-sector search model with sectoral human capital accumulation to explore the effects on the labor market of implementing a per unit of energy use carbon tax in the US. I separate the economy into a high-intensive sector (’dirty’) and a low-intensive sector (’clean’). I calibrate the model using 2014 U.S. data. I find that a carbon tax increases total unemployment by 0.06 percentage points, decreases the dirty employment rate by 2.1 percent, and increases the clean employment rate by 1.04 percent. Firms in the dirty sector adjust by decreasing the demand for high-skilled workers and increasing the number of vacancies in the low-skilled market
ContributorsFernandez Intriago, Luis Armando (Author) / Silverman, Daniel (Thesis advisor) / Kuminoff, Nicolai V. (Committee member) / Fried, Stephanie (Committee member) / Arizona State University (Publisher)
Created2019