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[EN] Following recent research, we explore virtually contemporaneous, and geographically granular, user online activity related to entrepreneurship. In this paper, we present evidence that data harvested by Dstillery can complement efforts of, and data collected by, government agencies and organizations advocating for entrepreneurship, business formation and economic growth, e.g., the Kauffman Foundation. Our website-based behavior data is close to real time and at a geographically granular level. We find that the concentration of a region's visits to website resources for entrepreneurship and business development are statistically related to business start-up and, particularly, growth activity. Visits to websites related to entrepreneurship are more strongly associated with growth entrepreneurship, in contrast to start-up entrepreneurship. While data capture and analysis related to entrepreneurship website activity is in its infancy, this analysis points to the potential of this data source to nowcast business formation and growth at a regional level. ; Slaper, T.; Bianco, A.; Lenz, P. (2018). Digital Vapor Trails: Using Website Behavior to Nowcast Entrepreneurial Activity. En 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018). Editorial Universitat Politècnica de València. 107-113. https://doi.org/10.4995/CARMA2018.2018.8327 ; OCS ; 107 ; 113

The study examines wage differentials of individuals experiencing unemployment episodes using a multivariate analysis of wage and unemployment records. The focus is the wage effect of small distance geographic mobility (micro-mobility) during job seeking. The results identify limitations on geographic micro-mobility as a source of wage disparity in the re-employment market. The study isolates persistent gender differences in geographic mobility rates and hypothesizes this as a potential source of gender-wage disparity in both the re-employment and greater labor market. The data and methods are unique. The dataset is Indiana administrative wage records over a ten-year period for individuals that experience unemployment episodes. The study assesses unemployment as an exogenous shock on wages to determine underlying influences in the labor market. The novel approach is unconstrained by limitations associated with aggregated or proxy data.