Sectoral differences in the use of information technology and matching efficiency in the US labour market

The present study examines how the heterogeneity of use of information technology in production affects the probability that an unemployed worker will be matched with a vacancy. Using US time series from 1967 to 2007, I construct measures of dispersion of the stocks of software and hardware per worker across 13 industries. The measures exhibit three waves whose timing roughly corresponds to the diffusion of mainframe computers in the 1960s and 1970s, personal computers in the 1980s and the Internet in the late 1990s. After controlling for other influences, I find that the probability of transitioning from unemployment to employment responds negatively to an increase in either measure. The results imply that by enhancing technical heterogeneity, the diffusion of a new technology may suppress the job finding rate.