REGIONAL VARIATIONS IN LABOR DEMAND ELASTICITY: EVIDENCE FROM U.S. COUNTIES

We use a large panel dataset covering the period 1988–2010 to estimate county specific own‐wage elasticity of labor demand in the U.S. for four highly aggregated industries: construction, finance/insurance/real‐estate/service, manufacturing, and retail trade. Our estimation of a random parameter panel data model yields significant evidence of spatial variations in wage elasticity of labor demand. We relate the spatial variation in elasticity to differences in county characteristics like industry specialization, industry competition, levels of natural amenity and urbanization. Using a regression discontinuity approach we also find that probusiness states have higher labor demand elasticity.     

Probabilistic Seismic Hazard Model of West Bengal,India

We deliver a next-generation Probabilistic Seismic Hazard model of West Bengal based on improved seismogenic source characterization considering both the Layered Polygonal sources & Tectonic sources in the hypocentral depth range of 0–25 km & 25–70 km, seismic local-specific site condition, and adaption of appropriate region specific ground motion prediction equations in a logic tree framework. The surface consistent Probabilistic seismic hazard distribution in terms of Peak Ground Acceleration (PGA) & 5% damped Pseudo Spectral Acceleration (PSA) at different time periods for 10% probability of exceedance in 50 years have been generated and the design response spectra computed.