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.

This dissertation consists of three essays on education and macroeconomics. The first chapter analyzes whether public education financing systems can account for large differences among developed countries in earnings inequality and intergenerational earnings persistence. I first document facts about public education in the U.S. and Norway, which provide an interesting case study because they have very different earnings distributions and public education systems. An overlapping generations model is calibrated to match U.S. data, and tax and public education spending functions are estimated for each country. The benchmark exercise finds that taxes and public education spending account for about 15% of differences in earnings inequality and 10% of differences in intergenerational earnings persistence between the U.S. and Norway. Differences in private education spending and early childhood education investments are also shown to be quantitatively important. The second chapter develops a life-cycle model to study increases in college completion and average ability of college students born from 1900 to 1972. The model is disciplined with new historical data on real college costs from printed government surveys. I find that increases in college completion for 1900 to 1950 cohorts are due primarily to changes in college costs, which generate large endogenous increases in college enrollment. Additionally, I find strong evidence that post-1950 cohorts under-predicted large increases in the college earnings premium. Modifying the model to restrict perfect foresight of the education premia generates a slowdown in college completion consistent with empirical evidence for post-1950 cohorts. Lastly, I find that increased sorting of students by ability can be accounted for by increasingly precise ability signals over time. The third chapter assesses how structural transformation is affected by sectoral differences in labor-augmenting technological progress, capital intensity, and capital-labor substitutability. CES production functions are estimated for agriculture, manufacturing, and services on post-war U.S. data. I find that sectoral differences in labor-augmenting technological progress are the dominant force behind changes in sectoral labor and relative prices. Therefore, Cobb-Douglas production functions with labor-augmenting technological change capture the main technological forces behind post-war U.S. structural transformation.

This dissertation consists of three essays that broadly deal with the growth and development of economies across time and space. Chapter one is motivated by the fact that agricultural labor productivity is key for understanding aggregate cross-country income differences. One important proximate cause of low agricultural productivity is the low use of intermediate inputs, such as fertilizers, in developing countries. This paper argues that farmers in poor countries rationally choose to use fewer intermediate inputs because it limits their exposure to large uninsurable risks. I formalize the idea in a dynamic general equilibrium model with incomplete markets, subsistence requirements, and idiosyncratic productivity shocks. Quantitatively, the model accounts for two-thirds of the difference in intermediate input shares between the richest and poorest countries. This has important implications for cross-country productivity. Relative to an identical model with no productivity shocks, the addition of agricultural shocks amplifies per capita GDP differences between the richest and poorest countries by nearly eighty percent. Chapter two deals with the changes in college completion in the United States over time. In particular, this paper develop a dynamic lifecycle model to study the increases in college completion and average IQ of college students in cohorts born from 1900 to 1972. I discipline the model by constructing historical data on real college costs from printed government reports covering this time period. The main finding is that that increases in college completion of 1900 to 1950 birth cohorts are due primarily to changes in college costs, which generate a large endogenous increase in college enrollment. Additionally, evidence is found that supports cohorts born after 1950 underpredicted sharp increases in the college earnings premium they eventually received. Combined with increasing college costs during this time period, this generates a slowdown in college completion, consistent with empirical evidence for cohorts born after 1950. Lastly, the rise in average college student IQ cannot be accounted for without a decrease in the variance of ability signals. This is attributed the increased precision of ability signals primarily to the rise of standardized testing. Chapter three again deals with cross-country income differences. In particular, it is concerned with the fact that cross-country income differences are primarily accounted for by total factor productivity (TFP) differences. Motivated by cross-country empirical evidence, this paper investigates the importance individuals who operate their own firms because of a lack of other job opportunities (need-based entrepreneurs). I develop a dynamic general equilibrium labor search model with with entrepreneurship to rationalize this misallocation across occupations and assess its role for understanding cross-country income differences. Developing countries are assumed to have tighter collateral constraints on entrepreneurs and lower unemployment benefits. Because these need-based entrepreneurs actually have a comparative advantage as workers, they operate smaller and less productive firms, lowering aggregate TFP in developing countries.

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.