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.

This research paper examines the short-run and long-run effects of population growth on economic growth and the variations in these effects across countries with different levels of development. Using data published by the World Bank and The Maddison Project (2020), a fixed effects model is conducted to examine the relationship between population growth and economic growth in approximately 160 countries over the span of 170 years. The results of this analysis find that lower income countries and countries with lower levels of human capital experience the greatest increases in economic growth due to population growth. Additionally, past population growth explains more of the variation in current population growth which points to strong long-term effects of population growth. These results support the economic theory of convergence whereby developing countries experience faster economic growth than developed countries and the notion that population growth can lead to greater innovative capacities which drive economic growth.

There is a growing consensus that environmental hazards and changing weather patterns disproportionately affect the poor, vulnerable, minority communities. My dissertation studies the nature of risk faced by vulnerable groups of individuals, how these risks affect their labor choice, income, consumption, and migration patterns. In Chapter 1, I study how seniors of different racial and income groups respond to information about hazardous waste sites in their neighborhood and their cleanup process. I find white seniors tend to move out at a higher rate when informed about the presence of a waste site as well as when the site is cleaned up compared to non-white seniors. This suggests that neighborhood gentrification exhibits inertia in the manifestation after the cleanup of Superfund sites. I find an assortative matching of seniors to neighborhoods based on their race and income, reinforcing findings in the environmental justice literature. Chapter 2 documents the effect of drought on labor choices, income, and consumption of rural households in India. I find that household consumption, as well as agricultural jobs, declines in response to drought. Further, I find that these effects are mediated by job skills and land ownership. Specifically, I find that households with working members who have completed primary education account for most of the workers who exit the agricultural sector. In contrast, I find that households with farmland increase their agricultural labor share post-drought. Cultural norms, relative prices, and land market transaction costs provide potential explanations for this behavior. Chapter 3 builds a simple model of household labor allocation based on reduced-form evidence I find in chapter 2. Simulation of the calibrated model implies that projected increases in the frequency of droughts over the next 30 years will have a net effect of a 1\% to 2\% reduction in agricultural labor. While small in percentage terms, this implies that 2.5 to 5 million individuals would leave agriculture. An increase in drought will also increase the size of the manufacturing wage subsidy needed to meet the goals of `Make in India’ policy by 20\%. This is driven by the need to incentivize landowners to reduce farm labor.

This dissertation consists of three essays on the task approach to labor markets. In the first chapter, I document that since 2000 the polarization of wages in the U.S. labor market stopped, as the wages of non-routine manual occupations fell in relative and absolute terms. I analyze the end of wage polarization through the lens of a dynamic general equilibrium model with occupation-biased technical change, human capital accumulation, and occupational mobility. I show that wage polarization ended because workers in non-routine manual occupations had lower initial human capital and lower human capital accumulation over time, and because after 2000 mobility across occupations fell, which magnified the differences in human capital accumulation across occupations. The second chapter estimates the effect of the import competition from China on the intensity of tasks performed by workers within U.S. manufacturing establishments between 2002 and 2017. I measure the changes in the intensity of these tasks by linking information on occupational employment from the Occupational Employment Statistics to the occupational characteristics from the Occupational Information Network (O*NET). I find that this “China shock” led establishments to significantly decrease the intensity of cognitive and interpersonal tasks, and to increase the intensity of manual and routine tasks. These estimations are consistent with US establishments reallocating employment to become more similar to their Chinese competitors and have important implications for the design of public policies. The third chapter explores the importance of changes in the intensity of tasks performed by workers to explain the evolution of wages. Despite changes in the workplace, the literature is based on the questionable assumption that the intensity of tasks remains constant over time. I harmonize and compare over time the intensity of non-routine cognitive, non-routine manual, interpersonal, and routine tasks in the Dictionary of Occupation Title (DOT) and the O*NET. I find the new fact that a sizable part of wage changes is due to increases in the return and the intensity of cognitive tasks. I show that this fact has implications for three well-documented wage trends during the last decades: wage polarization, increasing college premium, decreasing gender-wage gap.

Sanctuary jurisdictions are jurisdictions that do not enforce one or more aspects of federal immigration policy in regards to unauthorized immigrants. Some states maintain state-wide sanctuary policies while others are adamantly against them. Estimates of taxes that unauthorized immigrants pay and estimates of the amount of state funding that unauthorized immigrants can access (education, financial aid, corrections, and welfare) reveal that regardless of sanctuary status, unauthorized immigrants may “pay in” more than they “take out” from the system. The status of “sanctuary jurisdiction” does not appear to have much if any effect on the net state budget. However, unauthorized immigrants are able to access more welfare programs in sanctuary states.

This dissertation consist two chapters related with misallocation and economic development.

The first chapter studies the organization of production, as summarized by the number of managers per plant, the number of workers per manager and the mean size of plants in terms of employment. First, I document that in the manufacturing sector, richer countries tend to have (i) more managers per plant, (ii) less workers per manager and (iii) larger plants on average. I then extend a knowledge-based hierarchies model of the organization of production where the communication technology depends on the managerial level in the hierarchy and the abilities of subordinates. I estimate model parameters so that the model jointly produces plant size distribution and number of managers per plant in the United States manufacturing sector. I find that when the largest, more complex, plants face distortions that are twice as large as distortions faced by smaller plants, output declines by 33.4% and the number of managers per plant falls by 30%. Moreover, I find that a 10% increase in communication cost parameters can account for a 35% decrease in the aggregate output without having a significant effect on the number of managers per plant.

The second chapter examines the relationship between bribery, plant size and economic development. Using the Enterprise Survey, I document that small plants spend higher fraction of their output on bribery than big plants do. Then I develop a one sector growth model in which size-dependent distortions, bribery opportunities and different plant sizes coexist. I find that size-dependent distortions become less distortionary in the presence of bribery opportunities and the effect of such distortions on the plant size become reversed since bigger plants are able to avoid from distortions by paying larger bribes. My results indicate that changes in the distortion level do not affect output and size significantly because managers are able to circumvent the distortions by adjusting their bribery expenditures. However, the removal of distortions can have a substantial effect on both the output and the mean size. Output in Turkey can increase by 12.3%, while the mean size can increase by almost double.

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%.

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.

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%.

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.