Working Papers
Non-Competes, Worker Mobility, and Productivity Growth: Theory and Evidence [paper]
* New Version! **Supersedes 'Worker Turnover, Disruptive Innovation, and Productivity Growth'
Abstract:
This paper demonstrates that increased worker mobility between employers promotes innovation and accelerates growth. In the US, metropolitan areas subject to state-level court rulings that reduced the enforceability of non-compete (NC) clauses experienced increases in employment-to-employment (EE) hire rates. These areas also produced higher-quality patents and achieved faster productivity growth. Motivated by these empirical results, this paper develops an endogenous growth model with a frictional labor market and worker-embodied knowledge that increases innovation efficiency. Accelerated knowledge flows associated with EE transitions increase innovation and growth. The calibrated model shows that a permanent ban on NC clauses raises the annual growth rate by 0.2–0.3 percentage points, and the effect strengthens over time. Without the knowledge channel, the increase in growth rate is underestimated by more than 50%.
Do Declines in Labor Market Fluidity Cause Productivity Slowdown? [paper]
*Companion to 'Worker Turnover, Disruptive Innovation, and Productivity Growth'
Abstract:
Productivity growth is closely related to worker mobility when firms are heterogeneous in levels and growth rates of productivity. Using a Diamond- Mortensen-Pissarides model of labor market frictions augmented with innovation, I quantify the impact of labor market trends on productivity slowdown after the 2000s. Four labor market trends are put into the model: lower birth, job destruction, and start-up rates, and lower matching efficiency. The calibrated model shows that decreased matching efficiency and job destruction rates are more detrimental to incumbent innovation and growth than slow population growth and lower start-up rates after the 2000s.
Heterogeneous Effects of Capital-Embodied Innovation on Labor Market [paper] joint with Younghun Shim
*CESifo Working Paper N.11037. *Supersedes 'How Task-Biased is Capital-Embodied Innovation?'
Abstract:
This paper develops an occupation-level measure of Capital-Embodied Innovation (CEI) by matching patents with capital goods based on their text similarity. The impact of CEI on labor demand is heterogeneous, depending on the similarity between capital and occupational tasks. Specifically, CEI associated with task-similar capital reduces the relative labor demand, whereas CEI related to task-dissimilar capital raises it. Between 1980 and 2015, abstract and non-routine occupations experienced more innovations in task-dissimilar capital and fewer in task-similar capital. CEI can explain a significant fraction of the task-biased labor market changes and the decline in labor share.
Does Growth Lead to Labor Reallocation? [paper] [online appendix]
*Supersedes 'Growth and Labor Reallocation: Vertical versus Horizontal Innovation'
Abstract:
This paper explores how growth and labor reallocation are related when producers innovate yet also face demand shocks. Incumbent producers drive long-run growth by improving existing products or expanding into new product markets, which increases employment. However, employment growth stemming from positive demand shocks does not generate growth. Calibrating the model with German innovation survey data reveals that only 30% of incumbent job creation is attributable to innovation. Most growth originates from own-product improvements, which involve relatively modest labor reallocation. Ignoring demand shocks in the calibration overstates the role of product expansion while understating the impact of own-product improvements on growth. Moreover, the model indicates that slow population growth substantially lowers growth and welfare but has only a small impact on incumbent job creation.