Personal consumption expenditures make up the largest category of final demand and provide a direct measure of goods and services consumed by households. As such, state-level consumption statistics could facilitate regional tax policy analysis and marketing uses, and provide an additional measure of economic well-being to complement state level GDP and disposable personal income. Bureau of Economic Analysis economists have developed expenditures for eight categories of goods, seven categories of services, and net expenditures of nonprofit institutions serving households (NPISHs) for fifty states plus the District of Columbia for the years 1997 to 2011 that can be used on conjunction with other BEA regional statistics. This webinar will cover the methodology used for the experimental statistics, a first look at some of the results, and a discussion of BEA’s plans for refining and extending the statistics.
Presenter(s):
Carol Robbins is Chief of the Analysis and Special Studies Branch of the Regional Product Division at the Bureau of Economic Analysis. In this position she leads the development of new regional economic statistics and the improvement of methodologies for existing regional statistics. Her prior position at BEA was as a research economist in the Industry Directorate, focusing on the economic measurement of R&D, intangibles, and intellectual property. Carol holds a PhD in Economics from the University of Delaware and an undergraduate degree in Economics from Bryn Mawr College.
Ledia Guci is a research economist with the Regional Analysis and Special Studies Branch of the Bureau of Economic Analysis. She joined BEA in 2011, after completing a doctorate degree in Food and Resource Economics at the University of Florida. At BEA her work has focused on providing methodological support for the experimental estimates of state-level personal consumption expenditures. Ledia’s primary areas of expertise and interest include urban and regional economics, natural resource and environmental economics, and applied and spatial econometrics.Registration: There is no registration and no fee for attending this webinar.
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