Biased Technology and Contribution of Technological Change to Economic Growth: Firm-Level Evidence
Download full text from publisher
References listed on IDEAS
- Antràs Pol, 2004.
"Is the U.S. Aggregate Production Function Cobb-Douglas? New Estimates of the Elasticity of Substitution,"
The B.E. Journal of Macroeconomics,
De Gruyter, vol. 4(1), pages 1-36, April.
- Antras, Pol, 2004. "Is the U.S. Aggregate Production Function Cobb-Douglas? New Estimates of the Elasticity of Substitution," Scholarly Articles 3196325, Harvard University Department of Economics.
- Qu Feng & William C. Horrace, 2012.
"Alternative technical efficiency measures: Skew, bias and scale,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 27(2), pages 253-268, March.
- Qu Feng & William C. Horrace, 2010. "Alternative Technical Efficiency Measures: Skew, Bias, and Scale," Center for Policy Research Working Papers 121, Center for Policy Research, Maxwell School, Syracuse University.
- Mark Doms & Timothy Dunne & Kenneth R. Troske, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, Oxford University Press, vol. 112(1), pages 253-290.
- Kaddour Hadri, 2000.
"Testing for stationarity in heterogeneous panel data,"
Royal Economic Society, vol. 3(2), pages 148-161.
- Kaddour Hadri, 1999. "Testing For Stationarity In Heterogeneous Panel Data," Research Papers 1999_04, University of Liverpool Management School.
- Amit Gandhi & Salvador Navarro & David Rivers, 2011.
"On the Identification of Production Functions: How Heterogeneous is Productivity?,"
University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers
20119, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
- Salvador Navarro & David Rivers & Amit Gandhi, 2012. "On the Identification of Production Functions: How Heterogeneous is Productivity?," 2012 Meeting Papers 105, Society for Economic Dynamics.
- James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
- Sofronis K. Clerides & Saul Lach & James R. Tybout, 1998.
"Is Learning by Exporting Important? Micro-Dynamic Evidence from Colombia, Mexico, and Morocco,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 113(3), pages 903-947.
- Sofronis Clerides & Saul Lach & James Tybout, "undated". "Is "Learning-by-Exporting" Important? Micro-dynamic Evidence from Colombia, Mexico, and Morocco," Finance and Economics Discussion Series 1996-30, Board of Governors of the Federal Reserve System (U.S.).
- Sofronis Clerides & Saul Lach & James Tybout, 1996. "Is "learning-by-exporting" important? Micro-dynamic evidence from Colombia, Mexico and Morocco," Finance and Economics Discussion Series 96-30, Board of Governors of the Federal Reserve System (U.S.).
- Sofronis Clerides & Saul Lach & James Tybout, 1996. "Is "Learning-by-Exporting" Important? Micro-Dynamic Evidence from Colombia, Mexico and Morocco," NBER Working Papers 5715, National Bureau of Economic Research, Inc.
- Stevenson, Rodney, 1980. "Measuring Technological Bias," American Economic Review, American Economic Association, vol. 70(1), pages 162-173, March.
- Robert C. Feenstra & Zhiyuan Li & Miaojie Yu, 2014.
"Exports and Credit Constraints under Incomplete Information: Theory and Evidence from China,"
The Review of Economics and Statistics,
MIT Press, vol. 96(4), pages 729-744, October.
- Robert C. Feenstra & Zhiyuan Li & Miaojie Yu, 2011. "Exports and Credit Constraints Under Incomplete Information: Theory and Evidence from China," NBER Working Papers 16940, National Bureau of Economic Research, Inc.
- Rainer Klump & Peter McAdam & Alpo Willman, 2007. "Factor Substitution and Factor-Augmenting Technical Progress in the United States: A Normalized Supply-Side System Approach," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 183-192, February.
- Devesh Raval, 2011. "Beyond Cobb-Douglas: Estimation of a CES Production Function with Factor Augmenting Technology," Working Papers 11-05, Center for Economic Studies, U.S. Census Bureau.
- Alok Bhargava, 1986. "On the Theory of Testing for Unit Roots in Observed Time Series," Review of Economic Studies, Oxford University Press, vol. 53(3), pages 369-384.
More about this item
KeywordsMultidimensional Productivity; Technology Bias; Biased Techno- logical Change; Biased Technological Dispersion; Institutional and Behavioral Economics; Research and Development/Tech Change/Emerging Technologies;
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2013-06-24 (All new papers)
- NEP-EFF-2013-06-24 (Efficiency & Productivity)
- NEP-TRA-2013-06-24 (Transition Economics)
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea13:150225. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/aaeaaea.html .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.