By Ernst R. Berndt, Charles R. Hulten
The celebrated economist Zvi Griliches’s whole occupation could be considered as an try to increase the reason for accuracy in fiscal dimension. His curiosity within the motives and effects of technical growth resulted in his pathbreaking paintings on fee hedonics, now the significant analytical procedure on hand to account for adjustments in product caliber. Hard-to-Measure items and Services, a suite of papers from an NBER convention held in Griliches’s honor, is a tribute to his many contributions to present fiscal notion. right here, prime students of financial size handle concerns within the components of productiveness, rate hedonics, capital size, diffusion of recent applied sciences, and output and value dimension in “hard-to-measure” sectors of the economy. Furthering Griliches’s very important paintings that modified the way in which economists take into consideration the U.S. nationwide source of revenue and Product bills, this quantity is vital for all these attracted to the hard work industry, financial development, creation, and actual output.
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Extra info for Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches
Review of Income and Wealth 16 (March): 19–50. Corrado, Carol, Charles Hulten, and Daniel Sichel. 2005. Measuring capital and technology: An expanded framework. In Measuring capital in the new economy, ed. Carol Corrado, John Haltiwanger, and Daniel Sichel, 11–41. Studies in Income and Wealth, vol. 65. Chicago: University of Chicago Press. Denison, Edward F. 1972. Some major issues in productivity analysis: An examination of the estimates by Jorgenson and Griliches. Survey of Current Business 49 (5, pt.
For a complete description of the construction and evaluation of the data set, see Hellerstein and Neumark (2003). 3. Work on the construction of the 2000 DEED is underway. S. Census Bureau is a match between state-level data from worker unemployment insurance records and ES-202 records as part of the broader Longitudinal Employer Household Database (LEHD) project. These matched data are very rich in that they contain observations on all workers in covered establishments (not limited to the one-in-six sample of Census Long-Form respondents) and are longitudinal in nature although they do not cover all states (but do cover some of the largest ones).
Although we do not utilize residential information on workers in this paper, there are research questions that could be addressed using the DEED that would use such information. In other words, in developing the DEED we were most interested in constructing a data set that could be used not only for the specific questions in which we were initially interested, but could also be used by other researchers (and, in the future, by us) to study a host of questions. We therefore chose not to impute any matches.