Matching Items (11)
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
The dissertation is composed by three chapters. In Chapter 2 (coauthored with Matthew Wiswall) I develop new results for the identification and estimation of the technology of children’s skill formation when children’s skills are unobserved. In Chapter 3 I shed light on the importance of dynamic equilibrium interdependencies between children’s social interactions and parental investments decisions in explaining developmental differences between different social environments. In Chapter 4 (coauthored with Giuseppe Sorrenti) I study the effect of family income and maternal hours worked on both cognitive and behavioral child development.
ContributorsAgostinelli, Francesco (Author) / Wiswall, Matthew (Thesis advisor) / Silverman, Daniel (Thesis advisor) / Aucejo, Esteban Matias (Committee member) / Reffett, Kevin (Committee member) / Veramendi, Gregory Francisco (Committee member) / Arizona State University (Publisher)
Created2018
Description
A growing number of jobs in the US require a college degree or technical education, and the wage difference between jobs requiring a high school diploma and a college education has increased to over $17,000 per year. Enrollment levels in postsecondary education have been rising for at least the past decade, and this paper attempts to tease out how much of the increasing enrollment is due to changes in the demand by companies for workers. A Bartik Instrument, which is a measure of local area labor demand, for each county in the US was constructed from 2007 to 2014, and using multivariate linear regression the effect of changing labor demand on local postsecondary education enrollment rates was examined. A small positive effect was found, but the effect size in relation to the total change in enrollment levels was diminutive. From the start to the end of the recession (2007 to 2010), Bartik Instrument calculated unemployment increased from 5.3% nationally to 8.2%. This level of labor demand contraction would lead to a 0.42% increase in enrollment between 2008 and 2011. The true enrollment increase over this period was 7.6%, so the model calculated 5.5% of the enrollment increase was based on the changes in labor demand.
ContributorsHerder, Daniel Steven (Author) / Dillon, Eleanor (Thesis director) / Schoellman, Todd (Committee member) / Economics Program in CLAS (Contributor) / Department of Psychology (Contributor) / Sandra Day O'Connor College of Law (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Through collection of survey data on the characteristics of college debaters, disparities in participation and success for women and racial and ethnic minorities are measured. This study then uses econometric tools to assess whether there is an in-group judging bias in college debate that systematically disadvantages female and minority participants. Debate is used as a testing ground for competing economic theories of taste-based and statistical discrimination, applied to a higher education context. The study finds persistent disparities in participation and success for female participants. Judges are more likely to vote for debaters who share their gender. There is also a significant disparity in the participation of racial and ethnic minority debaters and judges, as well as female judges.
ContributorsVered, Michelle Nicole (Author) / Silverman, Daniel (Thesis director) / Symonds, Adam (Committee member) / Dillon, Eleanor (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Politics and Global Studies (Contributor)
Created2014-12
Description
A recession at the time of high school graduation could place multiple and competing pressures on a student deciding between entering the labor force and going to college. A recession may lower opportunity costs, increasing college enrollment and depressing the college wage premium; a downturn may also restrict enrollment to only those with sufficient family resources to pay for it. In the event that either of these illustrations holds true, recessions would seem to result in an adverse, exogenous welfare impact. This paper examines the extent to which recessions at the time of high school graduation affect students' likelihood of enrolling in college and then looks at the long-term earnings effects these early-life recessions carry. I first describe the choice between entering a volatile labor market and enrolling in higher education that faces 18-year-old high school graduates during a recession. For my analysis, I use data from the Panel Study of Income Dynamics to study the effects recessions have on high school graduates' decision-making. I then develop a model using these same data to compare the college wage premiums for individuals treated and untreated by a recession at the time of high school graduation. I find that recessions result in an economically significant uptick in college enrollment. However, the college wage premium for those who enroll in a recession is not statistically different from that witnessed by enrollees in better economic climates. Nonetheless, those young people who enter college during a recession may witness an economically appreciable earnings premium over and above the typical college premium. I conclude by exploring the significance of these findings and reflect on their seemingly contradictory implications.
ContributorsFischer, Brett (Author) / Dillon, Eleanor (Thesis director) / Wiswall, Matthew (Committee member) / Veramendi, Gregory (Committee member) / Barrett, The Honors College (Contributor)
Created2015-05
Description
With the National Labor Relations Board's decision to allow Northwestern University football players to unionize, the landscape of college athletics is changing very quickly. Due to their recognition as employees of the University, football players at Northwestern will receive many benefits that they would not have received before. They will be able to bargain for the things they want including: scholarships that cover the cost of attendance, increased medical coverage, measures to increase graduation rates, a safer game, and due process with the NCAA. However, this will come at a cost to the general welfare. Subsidies to athletic departments will continue to rise on college campuses due to the increasing costs of athletics and that cost will be incurred regressively on students. With an outcry from students, universities may be forced to stop the increase in subsidies, which may force some athletic departments to cut certain sports according to some parameters set by government legislation and the NCAA.
ContributorsGewecke, Alexander Leland (Author) / Marburger, Daniel (Thesis director) / Dillon, Eleanor (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / W. P. Carey School of Business (Contributor)
Created2015-05
Description
This dissertation consists of three chapters. The first two explore the impact of government policies on human capital accumulation.
Chapter one makes two novel contributions related to the two workhorse models in the human capital literature: Learning by Doing (LBD) and Ben-Porath (BP).
First, I show that BP is much more consistent with empirical life-cycle patterns related to individual earnings growth rates relative to LBD.
Second, I show that the same model features that generate different life-cycle predictions between models also generate different policy implications. In particular, increasing the top marginal labor tax rate, relative to the current US level, generates much larger reductions in lifetime human capital accumulation in the BP model versus the LBD model.
Chapter two examines reforms to the Social Security taxable earnings cap in the context of a human capital model. Old age Social Security benefits in the US are funded by a 10.6% payroll tax up to a cap of $118,500. There has been little work examining the likely outcomes of such a policy change. I use a life-cycle BP human capital model with heterogeneous individuals to investigate the aggregate and distributional steady state impacts of several policy changes the earnings cap. I find that when I eliminate the cap: (1) aggregate output and consumption fall substantially; (2) the role of endogenous human capital is first order; (3) total federal tax revenues are lower or roughly unchanged; (4) about 1/3 of workers are made worse off.
The final chapter studies the existence and optimality of equilibria in the presence of asymmetric information. I develop an equilibrium concept which corresponds to the presence of mutual insurance organizations for a class of adverse selection economies which includes the Spence (1973) signaling and Rothschild-Stiglitz (1976) insurance environments. The defining features of a mutual insurance organization are that policy holders are also the owners of the organization, and that the organization can write policies for which the terms depend on the experience of the mutual members. In general the equilibrium exists and is weakly Pareto optimal. Further, all equilibria have the same individual type utility vector.
Chapter one makes two novel contributions related to the two workhorse models in the human capital literature: Learning by Doing (LBD) and Ben-Porath (BP).
First, I show that BP is much more consistent with empirical life-cycle patterns related to individual earnings growth rates relative to LBD.
Second, I show that the same model features that generate different life-cycle predictions between models also generate different policy implications. In particular, increasing the top marginal labor tax rate, relative to the current US level, generates much larger reductions in lifetime human capital accumulation in the BP model versus the LBD model.
Chapter two examines reforms to the Social Security taxable earnings cap in the context of a human capital model. Old age Social Security benefits in the US are funded by a 10.6% payroll tax up to a cap of $118,500. There has been little work examining the likely outcomes of such a policy change. I use a life-cycle BP human capital model with heterogeneous individuals to investigate the aggregate and distributional steady state impacts of several policy changes the earnings cap. I find that when I eliminate the cap: (1) aggregate output and consumption fall substantially; (2) the role of endogenous human capital is first order; (3) total federal tax revenues are lower or roughly unchanged; (4) about 1/3 of workers are made worse off.
The final chapter studies the existence and optimality of equilibria in the presence of asymmetric information. I develop an equilibrium concept which corresponds to the presence of mutual insurance organizations for a class of adverse selection economies which includes the Spence (1973) signaling and Rothschild-Stiglitz (1976) insurance environments. The defining features of a mutual insurance organization are that policy holders are also the owners of the organization, and that the organization can write policies for which the terms depend on the experience of the mutual members. In general the equilibrium exists and is weakly Pareto optimal. Further, all equilibria have the same individual type utility vector.
ContributorsBlandin, Adam (Author) / Ventura, Gustavo (Thesis advisor) / Schoellman, Todd (Committee member) / Wiswall, Matthew (Committee member) / Bick, Alexander (Committee member) / Arizona State University (Publisher)
Created2016
Description
This dissertation consists of three chapters. Chapter one examines whether spending different amount of time outdoors on weekends and weekdays change the estimates of the impact of ground level ozone on the incidents of respiratory disease and asthma in California. This chapter contributes to the literature that focuses on the short term effect of air pollution on public health. Using the American Time Use Survey data, I find that on average people spend 50 minutes outdoors on weekends more than weekdays. Incorporating this difference in estimating the health impact of ozone changes the results significantly, especially for adults 20-64. The specification also allows me to find a precise estimate for each day of the week.
In chapter two I estimate the effect of exposure to ozone on skills of children aged 3 to 15 years. I use the Letter-Word (LW) test scores from the Panel Study of Income Dynamics (PSID) as a measure of children's skills. Due to omitted variable bias, OLS estimate of ozone effect on children's skill is positive and imprecisely estimated. To mitigate the omitted variable bias I use the instrumental variables approach. This method accounts for endogeneity of pollution. The effect of ozone on children's skills becomes negative but only marginally significant.
In chapter three, I estimate a production function of skill formation for children 3 to 15 years old and simultaneously account for their childhood exposure to ozone. I find that a one standard deviation increase in ozone leads to a 0.07 standard deviation reduction in the LW test scores on average. The LW test score of 3 year olds drops by 0.10 standard deviation in response to one standard deviation increase in pollution levels, while for the 14 year olds this effect is only half as much, 0.04 standard deviation. I also find that households exhibit compensatory behavior and mitigate the negative effect of pollution by investing more on their children. I quantitatively demonstrate that certain policies, such as a reduction in pollution levels or income transfers to families, can remediate the negative impact of childhood exposure to pollution on adult outcomes.
In chapter two I estimate the effect of exposure to ozone on skills of children aged 3 to 15 years. I use the Letter-Word (LW) test scores from the Panel Study of Income Dynamics (PSID) as a measure of children's skills. Due to omitted variable bias, OLS estimate of ozone effect on children's skill is positive and imprecisely estimated. To mitigate the omitted variable bias I use the instrumental variables approach. This method accounts for endogeneity of pollution. The effect of ozone on children's skills becomes negative but only marginally significant.
In chapter three, I estimate a production function of skill formation for children 3 to 15 years old and simultaneously account for their childhood exposure to ozone. I find that a one standard deviation increase in ozone leads to a 0.07 standard deviation reduction in the LW test scores on average. The LW test score of 3 year olds drops by 0.10 standard deviation in response to one standard deviation increase in pollution levels, while for the 14 year olds this effect is only half as much, 0.04 standard deviation. I also find that households exhibit compensatory behavior and mitigate the negative effect of pollution by investing more on their children. I quantitatively demonstrate that certain policies, such as a reduction in pollution levels or income transfers to families, can remediate the negative impact of childhood exposure to pollution on adult outcomes.
ContributorsVahedi, Sajad (Author) / Silverman, Daniel (Thesis advisor) / Wiswall, Matthew (Committee member) / Kuminoff, Nicolai (Committee member) / Arizona State University (Publisher)
Created2017
Description
The US steel industry experienced a great decline between 1950-1985. Influenced by several government policies, the industry was first cartelized during the great depression and then subjected to an extremely powerful organized labor force. Due to high demand between and during WWII and the Korean War, the industry expanded capacity using existing technologies. Simultaneously, organized labor was able to secure increased wages and large severance costs for firms that decided to shutdown existing steel mills. In the post war years this prevented firms from innovating through investing in newer, more efficient, technologies. Eventually US steel firms had no advantage against foreign producers who could produce steel cheaper and more efficiently.
ContributorsCole, Andrew Arthur (Author) / Lagakos, David (Thesis director) / DeSerpa, Allan (Committee member) / Dillon, Eleanor (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor)
Created2013-05
Description
Upon hiring a new college graduate, employers are left with limited information about the true productivity of the individual, mainly based on the information provided via resume and other related documents. Based on the information, which may include (and is not limited to) education years, grade point average(s), the institution one attended, majors, etc., employers attempt to differentiate between the candidates. Existing employer learning literature, such as Altonji and Pierret (2001) and Peter Arcidiacono, Patrick Bayer, and Aurel Hizmo (2010), have found that employers statistically discriminate upon hiring and estimate wages based on expected productivity conditional to observable characteristics--specifically education. As one's work experience accumulates, the wages are adjusted to the newly learned characteristics correlated with productivity. Thus, college graduates are more appealing as job candidates than high school graduates, with little learning done with experience in the labor market as employers have a more accurate depiction on productivity with more education years. With rising demands for high-skilled labor, there is a growing interest on what employers learn about from the name of the college listed on one's resume, as varying ability students sort into varying quality colleges. I include a one-dimensional index of college quality, as similarly constructed by Eleanor Dillon and Jeffrey Smith (2015), to measure the effects of attending a highly-selective institution in predicting individual ability. This paper provides additional support for the employer learning model on college graduates, with an emphasis on the direct role that college quality has at the start of one's career. Although college quality appears to be influential in providing employers additional information on one's productivity, unlike education, the weight placed on it by employers does not change with experience in the labor market. I further investigate within the college market and provide possible explanations behind learning on the basis of college quality, including: the possibility of information explained by quality unrelated to one's ability and the effects of attending a highly selective college.
ContributorsNam, Jimin (Author) / Veramendi, Gregory (Thesis director) / Dillon, Eleanor (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05