What Drives Job Search? Evidence from Google Search Data
The large-scale unemployment caused by the Great Recession has necessitated unprecedented increases in the duration of unemployment insurance (UI). While it is clear that the weekly payments are beneficial to recipients, workers receiving benefits have less incentive to engage in job search and accept job offers. We construct a job search activity index based on Google data which provides the first high-frequency, state-specific measure of job search activity. We demonstrate the validity of our measure by benchmarking it against the American Time Use Survey and the comScore Web-User Panel, and also by showing that it varies with hypothesized drivers of search activity. We test for search activity responses to policy shifts and changes in the distribution of unemployment benefit duration. We find that search activity is greater when a claimant's UI benefits near exhaustion. Furthermore, search activity responses to the passage of bills that increase unemployment benefits duration are negative but short-lived in most specifications. Using daily data, we estimate that an increase by 1% of the population of unemployed receiving additional benefits results in a decrease in aggregate search activity of 1.7% lasting only one week.
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- Francesco D’Amuri & Juri Marcucci, 2010.
"“Google it!”Forecasting the US Unemployment Rate with a Google Job Search index,"
2010.31, Fondazione Eni Enrico Mattei.
- D'Amuri, Francesco & Marcucci, Juri, 2009. "'Google it!' Forecasting the US unemployment rate with a Google job search index," ISER Working Paper Series 2009-32, Institute for Social and Economic Research.
- D'Amuri, Francesco/FD & Marcucci, Juri/JM, 2009. ""Google it!" Forecasting the US unemployment rate with a Google job search index," MPRA Paper 18248, University Library of Munich, Germany.
- Kuhn, Peter & Skuterud, Mikal Skuterud, 2002.
"Internet Job Search and Unemployment Durations,"
University of California at Santa Barbara, Economics Working Paper Series
qt8583s24x, Department of Economics, UC Santa Barbara.
- Betsey Stevenson, 2008.
"The Internet and Job Search,"
NBER Working Papers
13886, National Bureau of Economic Research, Inc.
- Harry J. Holzer, 1986.
"Search Method Use by Unemployed Youth,"
NBER Working Papers
1859, National Bureau of Economic Research, Inc.
- Camille Landais & Pascal Michaillat & Emmanuel Saez, 2010. "A Macroeconomic Theory of Optimal Unemployment Insurance," NBER Working Papers 16526, National Bureau of Economic Research, Inc.
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