By introducing automation development into a labor search model, this paper obtains that the increasing importance of automation in production may be responsible for the reduction in job reallocation along the transitional dynamics path. In the long run, we find automation also increases the total unemployment rate and reduces overall labor force participation. In addition, decreasing any disparity between differently skilled labor is detrimental to job reallocation along the transitional dynamics path, and both the long-run total unemployment rate and overall labor market participation will fall. Nevertheless, appropriate government subsidy policies can improve business dynamics across the labor market.

We examine how a subsidy policy for encouraging more individuals to pursue higher education affects economic growth in an overlapping generations model of R&D-based growth, including both product development and process innovation. We show that such a policy may have a negative effect on the long-run economic growth rate. When the market structure adjusts partially in the short run, the effect of an education subsidy on economic growth is ambiguous and depends on the values of the parameters. However, when the market structure adjusts fully in the long run, the education subsidy expands the number of firms but reduces economic growth. These unfavorable predictions of an education subsidy on economic growth are partly consistent with the empirical findings that mass higher education does not necessarily lead to higher economic growth.

We investigate the aggregate and distributional effects of banking spreads in an economy with informality. We build a heterogeneous agents model with incomplete markets, credit frictions, and a rich occupational choice setting, in which informality is an option for both employers and workers. The main finding is that reductions in spreads for formal firms increase wages, output, and welfare but have a deleterious impact on unemployment and inequality. Dropping spreads for informal firms lead to reduction in inequality indicators at the expense of consumption and welfare. By calibrating the model for Brazil, we also find that a hypothetical extinction of the informal sector can be harmful for poor agents, but combined with a spread reduction, it can generate strong positive effects on output and welfare.

This paper examines the consequences of international financial integration in a two-sector standard incomplete markets model with occupational choice under risk and financial constraints affecting entrepreneurial activity. We endogenize international productivity differences and discuss the implications of international integration for the macroeconomy, inequality, and welfare. Lending countries are characterized by tighter domestic constraints and experience an increase in gross national product, whereas the gross domestic product effect is ambiguous. We conclude that international integration is beneficial only for economies where there are substantial financial constraints on entrepreneurial activity. Otherwise, a majority of households suffer, due to the unequal distribution of welfare gains and losses across the heterogeneous population.

This study investigates the factors likely to affect an individual’s decision to enter farming after and/or while participating in an off-farm employment activity. Additionally, an ordered multivariate regression procedure was used to analyze the degree of importance of selected motivating reasons that were drivers of individuals’ decision to enter farming. Results indicate that individuals with lower education, children in the household, and older family members were more likely to have entered farming as an occupation. Findings further suggest that federal policies in the form of farm program payments may provide retired nonfarm workers incentives to enter farming in later life.

This paper argues that foreign direct investment (FDI) may increase the vulnerability to capital flow shocks of economies with credit market imperfections. Because of worse access to financial markets, wages in domestic firms carry higher default risk than wages in foreign ones. This alters the domestic wage composition and the subsequent wealth distribution. When credit markets are imperfect, the wealth distribution typically determines an economy's growth potential in autarky; hence, high exposure to FDI may significantly impede the capability to recover from sudden withdrawals of foreign capital. This appears consistent with a first glance at empirical evidence on durations of output recovery after systemic sudden stops.

Drawing on nationally representative data collected for two age cohorts in the UK, this paper a) assesses the effect of multiple independent socioeconomic risk factors in shaping the transition from school to work; and b) identifies potential protective factors enabling young people to beat the odds. By comparing experiences and findings across two cohorts we assess the generalisability of findings across contexts, i.e. the 2008 and 1980s recessions. The results show that some young people exposed to even severe socioeconomic risks avoid being NEET (not in education, employment or training). Factors that appear to reduce the cumulative risk effect in both cohorts include prior attainment, educational aspirations and school engagement, as well as the social mix of the school environment.

This paper evaluates two well-known models of growth with inequality that have explicit micro underpinnings related to household choice. With incomplete markets or transactions costs, wealth can constrain investment in business and the choice of occupation and also constrain the timing of entry into the formal financial sector. Using the Thai Socio-Economic Survey (SES), we estimate the distribution of wealth and the key parameters that best fit cross-sectional data on household choices and wealth. We then simulate the model economies for two decades at the estimated initial wealth distribution and analyze whether the model economies at those micro-fit parameter estimates can explain the observed macro and sectoral aspects of income growth and inequality change. Both models capture important features of Thai reality. Anomalies and comparisons across the two distinct models yield specific suggestions for improved research on the micro foundations of growth and inequality.