Iowa Unemployment Rates by County, January 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.

Monthly Labor Force Data, January 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Unemployment Rates For Iowa Counties, March 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.

Monthly Labor Force Data, March 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Iowa Unemployment Rates by County, April 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.

Monthly Labor Force Data, April 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Monthly Labor Force Data, May 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Monthly Labor Force Data, June 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Iowa Unemployment Rates by County, July 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.

Iowa Unemployment Rates by County, August 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.

Monthly Labor Force Data, August 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Iowa Unemployment Rates by County, September 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.

Monthly Labor Force Data, September 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Coworker networks in the labour market

This paper studies the role coworker-based networks play for individual labour marketoutcomes. I analyse how the provision of labour market relevant information by formercoworkers affects the employment probabilities and, if hired, the wages of male workerswho have previously become unemployed as the result of an establishment closure. Toidentify the causal effect of an individual worker's network on labour market outcomes, Iexploit exogenous variation in the strength of these networks that is due to the occurrenceof mass-layoffs in the establishments of former coworkers. The empirical analysis is basedon administrative data that comprise the universe of workers employed in Germany between1980 and 2001. The results suggest a strong positive effect of a higher employmentrate in a worker's network of former coworkers on his re-employment probability afterdisplacement: a 10 percentage point increase in the prevailing employment rate in thenetwork increases the re-employment probability by 7.5 percentage points. In contrast,there is no evidence of a statistically significant effect on wages.

Iowa Unemployment Rates by County, October 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.