A Dynamic Analysis of Educational Attainment, Occupational Choices, and Job Search

This paper examines career choices using a dynamic structural model that nests a job search model within a human capital model of occupational and educational choices. Individuals in the model decide when to attend school and when to move between firms and occupations over the course of their career. Workers search for suitable wage and non-pecuniary match values at firms across occupations given their heterogeneous skill endowments and preferences for employment in each occupation. Over the course of their careers workers endogenously accumulate firm and occupation specific human capital that affects wages differently across occupations. The parameters of the model are estimated with simulated maximum likelihood using data from the 1979 cohort of the National Longitudinal Survey of Youth. The structural parameter estimates reveal that both self-selection in occupational choices and mobility between firms account for a much larger share of total earnings and utility than the combined effects of firm and occupation specific human capital. Eliminating the gains from matching between workers and occupations would reduce total wages by 31%, eliminating the gains from job search would reduce wages by 19%, and eliminating the effects of firm and occupation specific human capital on wages would reduce wages by only 2.8%.occupational choice; job search; human capital; dynamic programming models

A Dynamic Analysis of Educational Attainment, Occupational Choices, and Job Search

This paper examines career choices using a dynamic structural model that nests a job search model within a human capital model of occupational and educational choices. Individuals in the model decide when to attend school and when to move between firms and occupations over the course of their career. Workers search for suitable wage and non-pecuniary match values at firms across occupations given their heterogeneous skill endowments and preferences for employment in each occupation. Over the course of their careers workers endogenously accumulate firm and occupation specific human capital that affects wages differently across occupations. The parameters of the model are estimated with simulated maximum likelihood using data from the 1979 cohort of the National Longitudinal Survey of Youth. The structural parameter estimates reveal that both self-selection in occupational choices and mobility between firms account for a much larger share of total earnings and utility than the combined effects of firm and occupation specific human capital. Eliminating the gains from matching between workers and occupations would reduce total wages by 30%, eliminating the gains from job search would reduce wages by 19%, and eliminating the effects of firm and occupation specific human capital on wages would reduce wages by only 2.7%.occupational choice; job search; human capital; dynamic programming models

An Analysis of Occupational Choice in Pakistan: A Multinomial Approach

Occupational choice plays an important role in determining earnings and success in the labour market. In the social structure of Pakistan, an occupation reflects the socio-economic status of the individual. In this backdrop, the paper looks at the occupational structure and analyses how different characteristics help individuals to access jobs of their choice. The main issue discussed in the paper is how men and women have a different occupation distribution. Estimates are based on a multinomial log model of occupation choices for men and women, using the Pakistan Integrated Household Survey (PIHS) 2001-02 data. The empirical results show that individuals with high educational achievements choose high-ranking jobs. It is also noted that gender has a role in the labour market and males are sorted out in high-paying occupation. Occupational choice is influenced more by the human capital variables than by the individual characteristics. Among human capital variables, education has the strongest impact in the selection of an occupation of choice.

Occupational Mobility and Wage Inequality, Second Version

In this study we argue that wage inequality and occupational mobility are intimately related. We are motivated by our empirical findings that human capital is occupation-specific and that the fraction of workers switching occupations in the United States was as high as 16% a year in the early 1970s and had increased to 19% by the early 1990s. We develop a general equilibrium model with occupation-specific human capital and heterogeneous experience levels within occupations. We argue that the increase in occupational mobility was due to the increase in the variability of productivity shocks to occupations. The model, calibrated to match the increase in occupational mobility, accounts for over 90% of the increase in wage inequality over the period. A distinguishing feature of the theory is that it accounts for changes in within-group wage inequality and the increase in the variability of transitory earnings.Occupational Mobility, Wage Inequality, Within-Group Inequality, Human Capital, Sectoral Reallocation

The Strength of Occupation Indicators as a Proxy for Skill

Labor economists have long used occupation indicators as a proxy for unobserved skills that a worker possesses. In this paper, we consider whether inter-occupational wage differentials that are unexplained by measured human capital are indeed due to differences in often-unmeasured skill. Using the National Compensation Survey, a large, nationally- representative dataset on jobs and ten different components of requisite skill, we compare the effects on residual wage variation of including occupation indicators and including additional skills measures. We find that although skills do vary across 3-digit occupations, occupation indicators decrease wage residuals by far more than can be explained by skill differentials. This indicates that “controlling for occupation” does not equate to controlling for skill alone, but also for some other factors to a great extent. Additionally, we find that there is considerable within occupation variation in skills, and that the amount of variation is not constant across skill levels. As a result, including occupation indicators in a wage model introduces heteroskedasticity that must be accounted for. We suggest that greater caution be applied when using and interpreting occupation indicators as controls in wage regressions.human capital measurement; job skills; occupation indicator variables

The Wealth Effect in Occupational Choice

The purpose of this paper is to indicate regularities in the area of occupational choice using income-leisure analysis. A simple one-period model is used to examine the effect of changes in nonhuman and human wealth on the choice of an occupation. It is argued that under certainty: An increase in nonwage income will increase the propensity to choose pleasant low-paying work activities. An increase in human capital will also induce a choice of pleasant work activities if the income effect is dominant. Under conditions of uncertainty an increase in nonwage income will tend to encourage the choice of risky high-paying work activities if their monetary returns are uncertain. If the nonmonetary returns of an occupation are uncertain the propensity to choose it will tend to decrease with wealth. Finally, an increase in human capital is likely to discourage the choice of occupations with risky monetary returns.

Men Are from Mars, Women Are from Venus: Evaluation and Modelling of Verbal Associations

We present a quantitative analysis of human word association pairs and study the types of relations presented in the associations. We put our main focus on the correlation between response types and respondent characteristics such as occupation and gender by contrasting syntagmatic and paradigmatic associations. Finally, we propose a personalised distributed word association model and show the importance of incorporating demographic factors into the models commonly used in natural language processing.Comment: AIST 2017 camera-read

Assessing the Problem of Human Capital Mismatch in Transition Economies

In transition economies, there may be a significant mismatch between the types of skills that workers possess and the types of skills that the new economy demands. We consider this problem of human capital mismatch along the dimensions of training type (holding the level) and occupation. We document that in the Czech Republic and Poland the wage rate grew faster in business occupations than in technical occupations in the 1990's, and that in response the technical training/occupations contracted while the business training/occupations expanded. We do not find this pattern in Hungary. We construct a neoclassical model with endogenous occupational choice and calibrate it to the Czech and Polish data. We estimate that the discounted sum of output loss due to human capital mismatch amounts to 44% of the aggregate output of the beginning year of transition.human capital, mismatch, occupation, training