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Erica L. Groshen

Erica L. Groshen became the 14th Commissioner of Labor Statistics in January 2013. Prior to joining BLS, Dr. Groshen was a Vice President in the Research and Statistics Group at the Federal Reserve Bank of New York. Her research has focused on labor markets over the business cycle, regional economics, wage rigidity and dispersion, the male-female wage differential, and the role of employers in labor market outcomes. She also served on advisory boards for BLS and the U.S. Census Bureau. Before joining the Federal Reserve Bank of New York in 1994, Dr. Groshen was a visiting assistant professor of economics at Barnard College at Columbia University and an economist at the Federal Reserve Bank of Cleveland. She was a visiting economist at the Bank for International Settlements in Basel, Switzerland, in 1999–2000. Dr. Groshen earned a Ph.D. in economics from Harvard University and a bachelor’s degree in economics and mathematics from the University of Wisconsin-Madison. Dr. Groshen’s office can be contacted at (202) 691-7800.

Worth a Thousand Words? Announcing Ready-to-Go Interactive Graphics with BLS News Releases

Last spring I wrote about how we’ve been using more and better charts and maps to help you understand our statistics. Today I’m excited to tell you about a new set of graphical tools to make our news releases more illuminating at the moment of their posting. We want everyone to be able to “see” quickly what’s in the hundreds of news releases we publish every year—on price trends, pay and benefits, productivity, employment and unemployment, job openings and labor turnover, and other topics.

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Visualizing BLS Data to Improve Understanding

If a picture is worth a thousand words, what’s the value of a striking, cool chart or map of some BLS data? At the U.S. Bureau of Labor Statistics (BLS), we’re always thinking of better ways to help our users understand the information we produce. The global economy is complex, and the statistics to explain the economy can be complex too. Data visualizations are one tool we use to present our data more clearly.

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