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- All Subjects: Economics
- Creators: Department of Information Systems
- Creators: Herrendorf, Berthold
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- Status: Published
Description
This dissertation consists of two essays. The first measures the degree to which schooling accounts for differences in industry value added per worker. Using a sample of 107 economies and seven industries, the paper considers the patterns in the education levels of various industries and their relative value added per worker. Agriculture has notably less schooling and is less productive than other sectors, while a group of services including financial services, education and health care has higher rates of schooling and higher value added per worker. The essay finds that in the case of these specific industries education is important in explaining sector differences, and the role of education all other industries are less defined. The second essay provides theory to investigate the relationship between agriculture and schooling. During structural transformation, workers shift from the agriculture sector with relatively low schooling to other sectors which have more schooling. This essay explores to what extent changes in the costs of acquiring schooling drive structural transformation using a multi-sector growth model which includes a schooling choice. The model is disciplined using cross country data on sector of employment and schooling constructed from the IPUM International census collection. Counterfactual exercises are used to determine how much structural transformation is accounted for by changes in the cost of acquiring schooling. These changes account for small shares of structural transformation in all economies with a median near zero.
ContributorsSchreck, Paul (Author) / Herrendorf, Berthold (Committee member) / Lagakos, David (Committee member) / Schoellman, Todd (Committee member) / Arizona State University (Publisher)
Created2011
Description
This dissertation is a collection of two essays relating to the dynamic effects of taxation.
In the first chapter, I focus on a key challenge faced by tax reforms: their short-run
welfare consequences. I examine a consumption-based tax reform that, despite the long-run welfare gains it generates, causes the welfare for some groups such as retirees or the working poor to fall during transition between steady states. Using a life-cycle model with heterogeneous households, I show how to devise a transition path from the current U.S. federal tax system to a consumption-based tax system that improves the welfare of current generations as well as those who are born in the long-run steady state. In a nutshell, all households alive at the time of the policy change can choose when they want to switch to the new tax system, or whether they want to switch at all. I find that implementing a tax reform with this feature improves the welfare of 95% of the population in the short run, compared to less than 25% of population in the conventional case with no choice. It takes about 20 years for half of the population to pay their taxes under the new tax code.
In the second chapter, I study the aggregate consequences of the differential tax treatments of U.S. businesses focusing on the role of legal forms of organization. I develop an industry equilibrium model in which the organizational form is an endogenous choice.
This model incorporates the key trade-off that businesses face when choosing their legal forms: the tax treatment of the business income; the access to external capital, and the potential level and evolution of productivity over time.
The model is matched to the firm dynamic features of U.S. businesses and the contributing share of each legal form in total output. Using the model, I study revenue-neutral tax reforms in which legal forms receive the same tax treatments, and
I find that the incentives induced by tax structure for organizational form and external finance are both large. Relative to the benchmark economy, unifying the tax code for all legal forms, can lead to 8% increase in the aggregate output.
In the first chapter, I focus on a key challenge faced by tax reforms: their short-run
welfare consequences. I examine a consumption-based tax reform that, despite the long-run welfare gains it generates, causes the welfare for some groups such as retirees or the working poor to fall during transition between steady states. Using a life-cycle model with heterogeneous households, I show how to devise a transition path from the current U.S. federal tax system to a consumption-based tax system that improves the welfare of current generations as well as those who are born in the long-run steady state. In a nutshell, all households alive at the time of the policy change can choose when they want to switch to the new tax system, or whether they want to switch at all. I find that implementing a tax reform with this feature improves the welfare of 95% of the population in the short run, compared to less than 25% of population in the conventional case with no choice. It takes about 20 years for half of the population to pay their taxes under the new tax code.
In the second chapter, I study the aggregate consequences of the differential tax treatments of U.S. businesses focusing on the role of legal forms of organization. I develop an industry equilibrium model in which the organizational form is an endogenous choice.
This model incorporates the key trade-off that businesses face when choosing their legal forms: the tax treatment of the business income; the access to external capital, and the potential level and evolution of productivity over time.
The model is matched to the firm dynamic features of U.S. businesses and the contributing share of each legal form in total output. Using the model, I study revenue-neutral tax reforms in which legal forms receive the same tax treatments, and
I find that the incentives induced by tax structure for organizational form and external finance are both large. Relative to the benchmark economy, unifying the tax code for all legal forms, can lead to 8% increase in the aggregate output.
ContributorsRaei, Sepideh (Author) / Ventura, Gustavo (Thesis advisor) / Herrendorf, Berthold (Committee member) / Bick, Alexander (Committee member) / Arizona State University (Publisher)
Created2018
Description
This dissertation consists of two essays with a macroeconomic approach to economic development. These essays explore specific barriers that prevent economic agents from exploiting opportunities across regions or sectors in developing countries, and to what extent the observed allocations are inefficient outcomes or just an efficient response to economic fundamentals and technological constraints.
The first chapter is motivated by the fact that a prominent feature of cities in developing countries is the existence of slums: locations with low housing-quality and informal property rights. This paper focuses on the allocation of land across slums and formal housing, and emphasizes the role of living in central urban areas for the formation of slums. I build a quantitative spatial general equilibrium model to study the aggregate effects of anti-slum policies and use microdata from India for the quantitative implementation. According to my findings, demolishing slums in central urban areas leads to a decrease in welfare, aggregate labor productivity, and urban population. In contrast, decreasing formal housing distortions in India to the U.S. level increases the urban population share by 20% and labor productivity by 2.4%, and reduces the share of the urban population living in slums by 19%.
The second chapter is motivated by the fact that labor productivity gaps between rich and poor countries are much larger for agriculture than for non-agriculture. Using detailed data from Mexican farms, this paper shows that value added per worker is frequently over two times larger in cash crops than in staple crops, yet most farmers choose to produce staples. These findings imply that the agricultural productivity gap is actually a staple productivity gap and understanding production decisions of farmers is crucial to explain why labor productivity is so low in poor countries. This paper develops a general equilibrium framework in which subsistence consumption and interregional trade costs determine the efficient selection of farmers into types of crops. The quantitative results of the model imply that decreasing trade costs in Mexico to the U.S. level reduces the ratio of employment in staple to cash crops by 17% and increases agricultural labor productivity by 14%.
The first chapter is motivated by the fact that a prominent feature of cities in developing countries is the existence of slums: locations with low housing-quality and informal property rights. This paper focuses on the allocation of land across slums and formal housing, and emphasizes the role of living in central urban areas for the formation of slums. I build a quantitative spatial general equilibrium model to study the aggregate effects of anti-slum policies and use microdata from India for the quantitative implementation. According to my findings, demolishing slums in central urban areas leads to a decrease in welfare, aggregate labor productivity, and urban population. In contrast, decreasing formal housing distortions in India to the U.S. level increases the urban population share by 20% and labor productivity by 2.4%, and reduces the share of the urban population living in slums by 19%.
The second chapter is motivated by the fact that labor productivity gaps between rich and poor countries are much larger for agriculture than for non-agriculture. Using detailed data from Mexican farms, this paper shows that value added per worker is frequently over two times larger in cash crops than in staple crops, yet most farmers choose to produce staples. These findings imply that the agricultural productivity gap is actually a staple productivity gap and understanding production decisions of farmers is crucial to explain why labor productivity is so low in poor countries. This paper develops a general equilibrium framework in which subsistence consumption and interregional trade costs determine the efficient selection of farmers into types of crops. The quantitative results of the model imply that decreasing trade costs in Mexico to the U.S. level reduces the ratio of employment in staple to cash crops by 17% and increases agricultural labor productivity by 14%.
ContributorsRivera Padilla, Alberto (Author) / Schoellman, Todd K. (Thesis advisor) / Herrendorf, Berthold (Thesis advisor) / Ferraro, Domenico (Committee member) / Arizona State University (Publisher)
Created2019
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
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
The dissertation consists of three essays that deal with variations in economic growth and development across space and time. The essays in particular explore the importance of differences in occupational structures in various settings.
The first chapter documents that intergenerational occupational persistence is significantly higher in poor countries even after controlling for cross-country differences in occupational structures. Based on this empirical fact, I posit that high occupational persistence in poor countries is symptomatic of underlying talent misallocation. Constraints on education financing force sons to choose fathers' occupations over the occupations of their comparative advantage. A version of Roy (1951) model of occupational choice is developed to quantify the impact of occupational misallocation on aggregate productivity. I find that output per worker reduces to a third of the benchmark US economy for the country with the highest level of occupational persistence.
In the second chapter, I use occupational prestige as a proxy of social status to estimate intergenerational occupational mobility for 50 countries spanning the breadth of world's income distribution for both sons and daughters. I find that although relative mobility varies significantly across countries, the correlation between relative mobility and GDP per capita is only mildly positive for sons and is close to zero for daughters. I also consider two measures of absolute mobility: the propensity to move across quartiles and the propensity to move relative to father's occupational prestige. Similar to relative mobility, the first measure of absolute mobility is uncorrelated with GDP per capita. The second measure, however, is positively correlated with GDP per capita with correlations being significantly higher for sons compared to daughters.
The third chapter analyses to what extent the growth in productivity witnessed by India during 1983--2004 can be explained by a better allocation of workers across occupations. I first document that the propensity to work in high-skilled occupations relative to high-caste men increased manifold for high-caste women, low-caste men and low-caste women during this period. Given that innate talent in these occupations is likely to be independent across groups, the chapter argues that the occupational distribution in the 1980s represented talent misallocation in which workers from many groups faced significant barriers to practice an occupation of their comparative advantage. I find that these barriers can explain 15--21\% of the observed growth in output per worker during the period from 1983--2004.
The first chapter documents that intergenerational occupational persistence is significantly higher in poor countries even after controlling for cross-country differences in occupational structures. Based on this empirical fact, I posit that high occupational persistence in poor countries is symptomatic of underlying talent misallocation. Constraints on education financing force sons to choose fathers' occupations over the occupations of their comparative advantage. A version of Roy (1951) model of occupational choice is developed to quantify the impact of occupational misallocation on aggregate productivity. I find that output per worker reduces to a third of the benchmark US economy for the country with the highest level of occupational persistence.
In the second chapter, I use occupational prestige as a proxy of social status to estimate intergenerational occupational mobility for 50 countries spanning the breadth of world's income distribution for both sons and daughters. I find that although relative mobility varies significantly across countries, the correlation between relative mobility and GDP per capita is only mildly positive for sons and is close to zero for daughters. I also consider two measures of absolute mobility: the propensity to move across quartiles and the propensity to move relative to father's occupational prestige. Similar to relative mobility, the first measure of absolute mobility is uncorrelated with GDP per capita. The second measure, however, is positively correlated with GDP per capita with correlations being significantly higher for sons compared to daughters.
The third chapter analyses to what extent the growth in productivity witnessed by India during 1983--2004 can be explained by a better allocation of workers across occupations. I first document that the propensity to work in high-skilled occupations relative to high-caste men increased manifold for high-caste women, low-caste men and low-caste women during this period. Given that innate talent in these occupations is likely to be independent across groups, the chapter argues that the occupational distribution in the 1980s represented talent misallocation in which workers from many groups faced significant barriers to practice an occupation of their comparative advantage. I find that these barriers can explain 15--21\% of the observed growth in output per worker during the period from 1983--2004.
ContributorsSinha, Rishabh (Author) / Herrendorf, Berthold (Thesis advisor) / Schoellman, Todd (Thesis advisor) / Bick, Alexander (Committee member) / Arizona State University (Publisher)
Created2015
Description
The dissertation consists of two essays in misallocation and development. In particular, the essays explore how government policies distort resource allocation across production units, and therefore affect aggregate economic and environmental outcomes.
The first chapter studies the aggregate consequences of misallocation in a firm dynamics model with multi-establishment firms. I calibrate my model to the US firm size distribution with respect to both the number of employees and the number of establishments, and use it to study distortions that are correlated with establishment size, or so-called size-dependent distortions to establishments, which are modeled as implicit output taxes. In contrast to previous studies, I find that size-dependent distortions are not more damaging to aggregate productivity and output than size-independent distortions, while the implicit tax revenue approximately summarizes the effects on aggregate output. I also use the model to compare the effects of size-dependent distortions to establishments and to firms, and find that they have different effects on firm size distribution, but have similar effects on aggregate output.
The second chapter studies the effects of product market frictions on firm size distribution and their implications for industrial pollution in China. Using a unique micro-level manufacturing census, I find that larger firms generate and emit less pollutants per unit of production. I also provide evidence suggesting the existence of size-dependent product market frictions that disproportionately affect larger firms. Using a model with firms heterogeneous in productivity and an endogenous choice of pollution treatment technology, I show that these frictions result in lower adoption rate of clean technology, higher pollution and lower aggregate output. I use the model to evaluate policies that eliminate size-dependent frictions, and those that increase environmental regulation. Quantitative results show that eliminating size-dependent frictions increases output by 30%. Meanwhile, the fraction of firms using clean technology increases by 27% and aggregate pollution decreases by 20%. In contrast, a regulatory policy which increases the clean technology adoption rate by the same 27%, has no effect on aggregate output and leads to only 10% reduction in aggregate pollution.
The first chapter studies the aggregate consequences of misallocation in a firm dynamics model with multi-establishment firms. I calibrate my model to the US firm size distribution with respect to both the number of employees and the number of establishments, and use it to study distortions that are correlated with establishment size, or so-called size-dependent distortions to establishments, which are modeled as implicit output taxes. In contrast to previous studies, I find that size-dependent distortions are not more damaging to aggregate productivity and output than size-independent distortions, while the implicit tax revenue approximately summarizes the effects on aggregate output. I also use the model to compare the effects of size-dependent distortions to establishments and to firms, and find that they have different effects on firm size distribution, but have similar effects on aggregate output.
The second chapter studies the effects of product market frictions on firm size distribution and their implications for industrial pollution in China. Using a unique micro-level manufacturing census, I find that larger firms generate and emit less pollutants per unit of production. I also provide evidence suggesting the existence of size-dependent product market frictions that disproportionately affect larger firms. Using a model with firms heterogeneous in productivity and an endogenous choice of pollution treatment technology, I show that these frictions result in lower adoption rate of clean technology, higher pollution and lower aggregate output. I use the model to evaluate policies that eliminate size-dependent frictions, and those that increase environmental regulation. Quantitative results show that eliminating size-dependent frictions increases output by 30%. Meanwhile, the fraction of firms using clean technology increases by 27% and aggregate pollution decreases by 20%. In contrast, a regulatory policy which increases the clean technology adoption rate by the same 27%, has no effect on aggregate output and leads to only 10% reduction in aggregate pollution.
ContributorsXi, Xican (Author) / Herrendorf, Berthold (Thesis advisor) / Ventura, Gustavo (Thesis advisor) / Schoellman, Todd (Committee member) / Arizona State University (Publisher)
Created2016
Description
This dissertation consists of two chapters. Chapter one studies distortionary effects of tax exemption of employer-sponsored health insurance (ESHI) premiums. First, I argue that, in the competitive labor market, tax deductibility of ESHI premiums generates an implicit labor cost subsidy to the employers sponsoring health insurance (HI) which distorts the allocation of labor across employers. Second, I quantify the extent of this misallocation measured as output loss in a general equilibrium model of firm dynamics extended to incorporate tax exemption of ESHI premiums and endogenous provision of HI by the employers. The calibrated model shows that elimination of tax exemption increases aggregate output by 1.73%. About two-thirds of this effect comes from removing the misallocation of labor across existing establishments, and the remaining one-third comes from the increase in the number of operating establishments. Third, I use the model to analyze how tax exemption interacts with the employer mandate of the Affordable Care Act imposing a tax on large employers not sponsoring HI. Quantitative results show that implementing the employer mandate when the tax exemption is present reduces output by 0.13%.
Chapter two studies macroeconomic implications of a higher cost of health services faced by the unemployed which arise because 1) workers lose access to ESHI when they leave their jobs and 2) the uninsured face inflated health care prices. First, I provide evidence suggesting that the cost of health services for the privately insured is about 50% lower than for the uninsured. Second, I quantify the effects of higher cost of health services for the unemployed in the Lucas and Prescott (1974) island model extended to allow the workers to pay an extra cost of health services contingent on their employment status. Calibration procedure uses the differences between costs of health services for the privately insured and uninsured inferred from the data as a gap between costs of health services for the employed and unemployed. Quantitative results show that equalizing these costs across workers increases labor productivity by 1.2% and unemployment rate by 1.5 percentage points. The increased unemployment dominates quantitatively leading to a decrease in aggregate output by 0.26%.
Chapter two studies macroeconomic implications of a higher cost of health services faced by the unemployed which arise because 1) workers lose access to ESHI when they leave their jobs and 2) the uninsured face inflated health care prices. First, I provide evidence suggesting that the cost of health services for the privately insured is about 50% lower than for the uninsured. Second, I quantify the effects of higher cost of health services for the unemployed in the Lucas and Prescott (1974) island model extended to allow the workers to pay an extra cost of health services contingent on their employment status. Calibration procedure uses the differences between costs of health services for the privately insured and uninsured inferred from the data as a gap between costs of health services for the employed and unemployed. Quantitative results show that equalizing these costs across workers increases labor productivity by 1.2% and unemployment rate by 1.5 percentage points. The increased unemployment dominates quantitatively leading to a decrease in aggregate output by 0.26%.
ContributorsKrukava, Nastassia (Author) / Vereshchagina, Galina (Thesis advisor) / Herrendorf, Berthold (Committee member) / Ventura, Gustavo (Committee member) / Arizona State University (Publisher)
Created2017