Studies on the Value of Data
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- Stephen D. Oliner & Daniel E. Sichel, 2000.
"The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?,"
Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 3-22, Fall.
- Stephen D. Oliner & Daniel E. Sichel, 2000. "The resurgence of growth in the late 1990s: is information technology the story?," Proceedings, Federal Reserve Bank of San Francisco.
- Stephen D. Oliner & Daniel E. Sichel, 2000. "The resurgence of growth in the late 1990s: is information technology the story?," Finance and Economics Discussion Series 2000-20, Board of Governors of the Federal Reserve System (U.S.).
- Rachel Soloveichik, 2024. "Private Funding of “Free” Data: A Theoretical Framework," BEA Papers 0125, Bureau of Economic Analysis.
- Rachel Soloveichik, 2023. "Capitalizing Data: Case Studies of Tax Forms and Individual Credit Reports," BEA Papers 0116, Bureau of Economic Analysis.
- Martin Spindler & Joachim Winter & Steffen Hagmayer, 2014.
"Asymmetric Information in the Market for Automobile Insurance: Evidence From Germany,"
Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 81(4), pages 781-801, December.
- Spindler, Martin & Winter, Joachim & Hagmayer, Steffen, 2012. "Asymmetric Information in the Market for Automobile Insurance: Evidence from Germany," MEA discussion paper series 201208, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
- Mark Aguiar & Erik Hurst, 2007.
"Measuring Trends in Leisure: The Allocation of Time Over Five Decades,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 969-1006.
- Mark Aguiar & Erik Hurst, 2006. "Measuring Trends in Leisure: The Allocation of Time Over Five Decades," NBER Working Papers 12082, National Bureau of Economic Research, Inc.
- Mark Aguiar & Erik Hurst, 2006. "Measuring trends in leisure: the allocation of time over five decades," Working Papers 06-2, Federal Reserve Bank of Boston.
- Stephen (Teng) Sun & Constantine Yannelis, 2016.
"Quantifying The Premium Externality Of The Uninsured,"
Journal of the European Economic Association, European Economic Association, vol. 14(2), pages 405-437, April.
- Stephen (Teng) Sun & Constantine Yannelis, 2016. "Quantifying the Premium Externality of the Uninsured," Journal of the European Economic Association, European Economic Association, vol. 14(2), pages 405-437.
- Sun, Stephen Teng & Yannelis, Constantine, 2013. "Quantifying the Premium Externality of the Uninsured," MPRA Paper 54638, University Library of Munich, Germany.
- Vives, Xavier, 1984. "Duopoly information equilibrium: Cournot and bertrand," Journal of Economic Theory, Elsevier, vol. 34(1), pages 71-94, October.
- Pierre-Andre Chiappori & Bernard Salanie, 2000.
"Testing for Asymmetric Information in Insurance Markets,"
Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 56-78, February.
- Pierre-André Chiappori & Bernard Salanié, 1997. "Testing for Asymmetric Information in Insurance Markets," Working Papers 97-11, Center for Research in Economics and Statistics.
- Basker, Emek, 2011.
"The Causes and Consequences of Wal-Mart’s Growth,"
Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 110-134.
- Emek Basker, 2007. "The Causes and Consequences of Wal-Mart's Growth," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 177-198, Summer.
- Emek Basker, 2006. "The Causes and Consequences of Wal-Mart's Growth," Working Papers 0611, Department of Economics, University of Missouri.
- Alma Cohen, 2005. "Asymmetric Information and Learning: Evidence from the Automobile Insurance Market," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 197-207, May.
- Amuedo-Dorantes, Catalina & Arenas-Arroyo, Esther & Sevilla, Almudena, 2020. "Labor market impacts of states issuing of driver's licenses to undocumented immigrants," Labour Economics, Elsevier, vol. 63(C).
- Cho, Heepyung, 2022. "Driver’s license reforms and job accessibility among undocumented immigrants," Labour Economics, Elsevier, vol. 76(C).
- Crocker, Keith J & Tennyson, Sharon, 2002. "Insurance Fraud and Optimal Claims Settlement Strategies," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 469-507, October.
- Diane Coyle, 2015. "GDP: A Brief but Affectionate History (Revised and Expanded Edition)," Economics Books, Princeton University Press, edition 2, number 10598.
- Corby Garner & Justin Harper & Matt Russell & Jon Samuels, 2020. "Integrated Industry-Level Production Account for the United States and the Sources of U.S. Economic Growth Between 1987 and 2018," Survey of Current Business, Bureau of Economic Analysis, April.
- Friedman, L.S. & Hedeker, D. & Richter, E.D., 2009. "Long-term effects of repealing the national maximum speed limit in the United States," American Journal of Public Health, American Public Health Association, vol. 99(9), pages 1626-1631.
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More about this item
JEL classification:
- D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
- E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2024-06-17 (Big Data)
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