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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
This paper is intended to identify a correlation between the winning percentage of sports teams in the four major professional sports leagues in the United States and the GDP per capita of their respective cities. We initially compiled fifteen years of franchise performance along with economic data from the Federal Reserve Bank of St. Louis to analyze this relationship. After converting the data into a language recognized by Stata, the regression tool we used, we ran multiple regressions to find relevant correlations based off of our inputs. This paper will show the value of the economic impact of strong or weak performance throughout various economic cycles through data analysis and conclusions drawn from the results of the regression analysis.
ContributorsAndl, Tyler (Co-author) / Shirk, Brandon (Co-author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
Alternative currencies have a long and varied history, in which Bitcoin is the latest chapter. The pseudonymous Satoshi Nakamoto created Bitcoin as an implementation of the concept of a cryptocurrency, or a decentralized currency based on the principles of cryptography. Since its creation in 2008, Bitcoin has had a fairly tumultuous existence that limited its adoption. Wide price fluctuations occurred as the appeal of free money by running a piece of computer software drove people to purchase expensive hardware, and high-profile scandals cast Bitcoin as an unstable currency well-suited primarily for purchasing illicit materials. Consumer confidence in the currency was extremely low, and businesses were extremely hesitant to accept a currency that could easily lose half (or more) of its value overnight. However, recent years have seen the currency begin to stabilize as businesses and mainstream investors have begun to accept and support it. Alternative cryptocurrencies, titled "altcoins," have also been created to fill market niches that Bitcoin was not addressing. Governmental intervention, a concern of many following the currency, has been surprisingly restrained and has actually contributed to its stability. The future of Bitcoin looks very bright as it carries the dream of the alternative currency forward into the 21st century.
ContributorsReardon, Brett (Co-author) / Burke, Ryan (Co-author) / Happel, Stephen (Thesis director) / Boyes, William (Committee member) / School of Politics and Global Studies (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Marijuana is the most commonly used illicit substance in the United States with over two million pounds seized annually and with a usage rate estimated at 19.8 million people in 2013 (SAMSHA, 2014). Currently there is a nationwide movement for the legalization of recreational marijuana via referendum at the state level. Three states and the District of Columbia have already adopted amendments legalizing marijuana and over a dozen more currently have pending ballots. This report explores what would be the impact of legalizing marijuana in Arizona through the examination of data from Colorado and other governmental sources. Using a benefit/cost analysis the data is used to determine what the effect the legalization of marijuana would have in Arizona. I next examined the moral arguments for legalization. Finally I propose a recommendation for how the issue of the legalization of recreational marijuana should be approached in Arizona.
ContributorsDiPietro, Samuel Miles (Author) / Kalika, Dale (Thesis director) / Lynk, Myles (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor)
Created2015-05
Description
This study examines the economic impact of the opioid crisis in the United States. Primarily testing the years 2007-2018, I gathered data from the Census Bureau, Centers for Disease Control, and Kaiser Family Foundation in order to examine the relative impact of a one dollar increase in GDP per Capita on the death rates caused by opioids. By implementing a fixed-effects panel data design, I regressed deaths on GDP per Capita while holding the following constant: population, U.S. retail opioid prescriptions per 100 people, annual average unemployment rate, percent of the population that is Caucasian, and percent of the population that is male. I found that GDP per Capita and opioid related deaths are negatively correlated, meaning that with every additional person dying from opioids, GDP per capita decreases. The finding of this research is important because opioid overdose is harmful to society, as U.S. life expectancy is consistently dropping as opioid death rates rise. Increasing awareness on this topic can help prevent misuse and the overall reduction in opioid related deaths.
ContributorsRavi, Ritika Lisa (Author) / Goegan, Brian (Thesis director) / Hill, John (Committee member) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Existing research into the health benefits of insurance fall into two major categories \u2014 observational and experimental. Observational studies have centered on data sets from before 2000 and focus on the mortality differences between the privately insured and the uninsured. Experimental studies began with Massachusetts' 2006 health reform and continued after the passage of the Affordable Care Act. These studies measure the effects of public insurance among the coverage expansion populations. These two bodies of literature come to ambiguous and contradictory conclusions to the mortality effects and health value of insurance. This study extends the observational methodologies to the publicly insured in samples from the National Health and Nutrition Examination Survey in both the 1988-1994 survey and the 2001-2002 survey. Using the Cox Proportional Hazard model, this study estimates the hazard ratios faced by the privately and publicly insured compared to the uninsured. This study finds the publicly insured face hazards 1.5 times those of the uninsured (p<.001), while the privately insured do not face hazards significantly different from those of the uninsured. Literature suggests that some unobserved characteristic of the publicly insured are influencing their mortality. Interacting with participants health reveals that these differences across groups shrink as health declines. Experimental literature suggests that public insurance lowers the uninsured risk from "healthcare amenable" conditions. Treatment of these conditions may explain the hazard reductions among the uninsured in non-excellent health. The high risk of the publicly insured in excellent health defies explanation.
ContributorsMorita, Aidan James Donnelly (Author) / Veramendi, Gregory (Thesis director) / Zafar, Basit (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
In this paper I seek to understand how consumers value music today by investigating what consumers are willing to pay for digitally downloaded songs (such as the ones available on the iTunes or Amazon music stores) and the variety of factors that influence their willingness to pay. I conducted a survey and received over 500 responses regarding willingness to pay for single-song downloads, consumer sentiment on whether music should be free, streaming service use, and other information pertaining to music consumption behavior. Through this research I found that paid-streamers are willing to pay more for songs than those who do not pay to stream, all else being equal. Further, Free-streamers are not willing to pay significantly more or less than non-streamers. This finding is additional information to other research that suggests streaming acts as a substitute for sales. I also found that most consumers are in the middle when it comes to the debate for whether music should always be free or always be purchased. Where someone aligns on the spectrum is a statistically significant contributing factor to what that person is willing to pay for a song. My findings also suggest that consumer preferences distinguish between benefit derived from music ownership and benefit derived from the ability to listen to music. This information sheds more light on the reason behind the declining digital download market.
ContributorsRodriguez, Stefan Daniel (Author) / Mandel, Naomi (Thesis director) / Veramendi, Gregory (Committee member) / Department of Economics (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Family economics uses economic concepts such as productions and decision making to understand family behavior. Economists place emphasis on the rule of families on labor supply, human capital investment, and consumption. In a household, the members choose the optimal time allocations between working, housework and leisure, and money between consumption of different members and savings. One-Child policy and strong inter-generational connections cause unique family structure in China. Households of different generations provide income transfer and labor support to each other. Households consider these connections in their savings, labor supply, human capital investment, fertility and marriage decisions. Especially, strong intergenerational relationships in China are one cause of the high level of young female labor supply and high saving rate. I will investigate the rules of intergenerational relationships on household economic behavior.
Affirmative Action allocates college seats to a separate group. To evaluate the distribution effects of AA on discrete groups, we need to study household's strategic reactions on the rule of college seats allocation. The admission system of National College Entrance Examination in China is a type of AA. That distributes college seats by regions. I will use the rapid expansion of Chinese college enrollment as a natural experiment to check the households' reaction on AA and college expansion.
Media economics utilizes economic empirical and theoretical tools to figure out the social, cultural, and economic issues in media industries. The impact of online piracy on genuine products sales is under debate, because people cannot find representing proxies to evaluate piracy levels. I will use Chinese data to study the effects of online piracy on theater revenue.
Affirmative Action allocates college seats to a separate group. To evaluate the distribution effects of AA on discrete groups, we need to study household's strategic reactions on the rule of college seats allocation. The admission system of National College Entrance Examination in China is a type of AA. That distributes college seats by regions. I will use the rapid expansion of Chinese college enrollment as a natural experiment to check the households' reaction on AA and college expansion.
Media economics utilizes economic empirical and theoretical tools to figure out the social, cultural, and economic issues in media industries. The impact of online piracy on genuine products sales is under debate, because people cannot find representing proxies to evaluate piracy levels. I will use Chinese data to study the effects of online piracy on theater revenue.
ContributorsYue, Yang (Author) / Silverman, Daniel (Thesis advisor) / Kovrijnykh, Natalia (Committee member) / Veramendi, Gregory (Committee member) / Arizona State University (Publisher)
Created2017
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
Description
Agent based models allow for complex results from simple parameters. The mobile agents in my model, the firms, are allocated an amount of capital, while the static agents, the workers, are allocated a range of wages. The firms are then allowed to move around and compete until they match with a worker that maximizes their production. It was found from the simulation that as competition increases so do wages. It was also found that when firms stay in the environment for longer that a higher wage is possible as a result of a larger window for drawn out competition. The different parameters result in a range of equilibriums that take variable amounts of time to reach. These results are interesting because they demonstrate that the mean wage is strongly dependent upon the window of time that firms are able to compete within. This type of model was useful because it demonstrated that there is a variation in the time dependence of the equilibrium. It also demonstrated that when there is very little entry and exiting of the market, that wage levels out at an equilibrium that is the same, regardless of the ratio between the number of firms and the number of workers. Further work to be done on this model includes the addition of a Matching Function so that firms and workers have a more fair agreement. I will also be adding parameters that allow for firms to see the workers around them so that firms are able to interact with multiple workers at the same time. Both of these alteration should improve the overall accuracy of the model.
ContributorsElledge, Jacob Morris (Author) / Veramendi, Gregory (Thesis director) / Murphy, Alvin (Committee member) / Department of Economics (Contributor) / Department of Physics (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12