Gender Differences in the Effects of Robot Adoption: Evidence from the US (Job market paper)

Abstract: A significantly growing robotics technology may have considerably influenced labor market dynamics over the recent decades. This paper delves into the implications of increased industrial robot installations on changes in population size and employment in local labor markets. The cross-sectional study reveals discernible gender disparities in the impacts of robot adoption. The effect of robotization on the labor force participation rate is negative for men and unmarried women yet positive for married women. As industrial robots are predominantly programmed to perform routine tasks in manufacturing industries traditionally associated with heavy manual male-dominated labor, the anticipated impact of robot exposure on employment in the manufacturing sector is predictably negative for male workers. For women, this effect is conversely positive. It was also found that robot penetration leads to an increase in the share of family income attributed to females within married-couple households.

Changes in Job and Occupational Mobility: Evidence from NLSY79 and NLSY97 (3rd-year paper)

Abstract: Over the past decades socio-cultural, technological, and other changes presumably have had a significant influence on the labor market decisions of employees. This paper examines how these changes translate to labor mobility in terms of job and occupation shifts among young workers. The data from two National Longitudinal Surveys of Youth (NLSY79 and NLSY97) reveal a noticeable between-cohort growth in job mobility of young participants. Using these data, I show that the negative effect of age on the probability of a job change is  greater for the second cohort. This increase is mostly driven by changes in the impact of age for specific socio-demographic groups of respondents. I also found that there is a significant between-cohort rise in the association between both upward and downward directions of job transitions and occupational mobility.

The Effect of Robotization on Labor Market Outcomes: Findings from NLSY97 (in progress)

Motivation: Aggregate local labor market-level effects of robots may be driven by unobservable factors at the individual level. Therefore, further research explores the impact of robot adoption on outcomes of interest at this level, employing the longitudinal data on migration and job mobility using the restricted access NLSY97 data. It would allow tracking of migration and employment behavior among young millennials, controlling for a broad range of characteristics.