ABSTRACT
BACKGROUND: The fast-changing labor market highlights the need for an in-depth understanding of occupational mobility impacted by technological change. However, we lack a multidimensional classification scheme that considers similarities of occupations comprehensively, which prevents us from predicting employment trends and mobility across occupations. This study fills the gap by examining employment trends based on similarities between occupations. METHOD: We first demonstrated a new method that clusters 756 occupation titles based on knowledge, skills, abilities, education, experience, training, activities, values, and interests. We used the Principal Component Analysis to categorize occupations in the Standard Occupational Classification, which is grouped into a four-level hierarchy. Then, we paired the occupation clusters with the occupational employment projections provided by the U.S. Bureau of Labor Statistics. We analyzed how employment would change and what factors affect the employment changes within occupation groups. Particularly, we specified factors related to technological changes. RESULTS: The results reveal that technological change accounts for significant job losses in some clusters. This poses occupational mobility challenges for workers in these jobs at present. Job losses for nearly 60% of current employment will occur in low-skill, low-wage occupational groups. Meanwhile, many mid-skilled and highly skilled jobs are projected to grow in the next ten years. CONCLUSION: Our results demonstrate the utility of our occupational classification scheme. Furthermore, it suggests a critical need for skills upgrading and workforce development for workers in declining jobs. Special attention should be paid to vulnerable workers, such as older individuals and minorities.
Subject(s)
Employment , Labor, Obstetric , Humans , Pregnancy , Female , Educational Status , Knowledge , OccupationsABSTRACT
We examine whether migration affects the gender division of household tasks and participation in leisure within origin-country households using survey data from the Republic of Georgia. Our theoretical framework identifies two sets of mechanisms whereby migration might influence gender differences in home activities: migrant experience effects and migrant absence effects. We test for both types of effects on the probability that men and women perform gender atypical household tasks and engage in leisure activities by comparing households with and without currently absent and return migrants using probit regressions. We find evidence for both migration absence and migration experience effects on gender differences in housework and leisure. However, these effects are complex and contradictory: generally, male migration tends to exacerbate gender differences in the sending household while female migration tends to ameliorate them.
ABSTRACT
The economic impact of remittances on migrant-sending countries has been a subject of debate in the scholarly literature on migration. We consider the topic using a household-level approach. We use a new survey, "Georgia on the Move," to examine migrant-level, household-level, and contextual variables associated with the probability that a household in the Republic of Georgia receives remittances. We then apply propensity score matching to estimate how remittances affect particular types of household expenditures, savings, labor supply, health, and other measures of well-being. Separate analysis of the subsample of households with a migrant currently abroad distinguishes the effects of remittances from the effects of migration as such. In Georgia, remittances improve household economic well-being without, for the most part, producing the negative consequences often suggested in the literature. We find evidence for an important aspect that has not been widely discussed in prior studies: remittances foster the formation of social capital by increasing the amount of money that households give as gifts to other households.
