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Hal R. Varian's
Scholarly Papers
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Total Downloads
3,004 |
Total
Citations
66 |
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1.
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Kenneth J. Arrow Stanford University - Department of Economics Shyam Sunder Yale School of Management Robert Forsythe University of Iowa - College of Business Administration Robert E. Litan AEI-Brookings Joint Center for Regulatory Studies Michael Gorham Illinois Institute of Technology Eric Zitzewitz Dartmouth College Robert W. Hahn University of Oxford, Smith School Robin Hanson George Mason University Daniel Kahneman Princeton University John O. Ledyard California Institute of Technology - Division of the Humanities and Social Sciences Saul Levmore University of Chicago Law School Paul R. Milgrom Stanford University Forrest D. Nelson University of Iowa - Henry B. Tippie College of Business - Department of Economics George R. Neumann University of Iowa - Henry B. Tippie College of Business - Department of Economics Marco Ottaviani London Business School Charles R. Plott California Institute of Technology - Division of the Humanities and Social Sciences Thomas C. Schelling University of Maryland Robert J. Shiller Yale University - Cowles Foundation Vernon L. Smith Chapman University - Economic Science Institute Erik C. Snowberg Stanford Graduate School of Business Cass R. Sunstein Harvard University - Harvard Law School Paul C. Tetlock Columbia Business School Philip E. Tetlock University of California, Berkeley - Organizational Behavior & Industrial Relations Group Hal R. Varian University of California, Berkeley - School of Information Justin Wolfers University of Pennsylvania - Business & Public Policy Department
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07 May 07
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06 Oct 09
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2,129 (1,254)
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Abstract:
Prediction markets are markets for contracts that yield payments based on the outcome of an uncertain future event, such as a presidential election. Using these markets as forecasting tools could substantially improve decision making in the private and public sectors. We argue that U.S. regulators should lower barriers to the creation and design of prediction markets by creating a safe harbor for certain types of small stakes markets. We believe our proposed change has the potential to stimulate innovation in the design and use of prediction markets throughout the economy, and in the process to provide information that will benefit the private sector and government alike.
prediction markets, public policy, forecasting, regulation
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Elizabeth E. Bailey University of Pennsylvania - Business & Public Policy Department William J. Baumol New York University - Stern School of Business, Berkley Center for Entrepreneurial Studies Martin Neil Baily Institute for International Economics Robert E. Litan AEI-Brookings Joint Center for Regulatory Studies Peter C. Cramton University of Maryland - Department of Economics Gerald R. Faulhaber University of Pennsylvania - Management Department Kenneth Flamm University of Texas at Austin - Lyndon B. Johnson School of Public Affairs Richard J. Gilbert University of California, Berkeley - Department of Economics Austan Goolsbee University of Chicago - Booth School of Business Shane M. Greenstein Northwestern University - Kellogg School of Management Robert W. Hahn University of Oxford, Smith School Robert E. Hall Stanford University - The Hoover Institution on War, Revolution and Peace Thomas W. Hazlett George Mason University School of Law Alfred E. Kahn National Economic Research Associates Inc. (NERA) John W. Mayo Georgetown University - Robert Emmett McDonough School of Business Paul R. Milgrom Stanford University Janusz A. Ordover New York University - Department of Economics Robert S. Pindyck Massachusetts Institute of Technology (MIT) - Sloan School of Management Gregory L. Rosston Stanford Institute for Economic Policy Research Scott Savage University of Colorado at Boulder - Department of Economics Richard Schmalensee Massachusetts Institute of Technology (MIT) - Sloan School of Management Howard A. Shelanski University of California, Berkeley - School of Law Pablo T. Spiller University of California, Berkeley - Business & Public Policy Group Hal R. Varian University of California, Berkeley - School of Information Scott Wallsten Technology Policy Institute Dennis Weisman Kansas State University - Department of Economics David J. Teece University of California, Berkeley - Business & Public Policy Group
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23 Mar 06
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07 Oct 09
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551 (12,464)
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Abstract:
Broadband, or high-speed access to the Internet, has generated significant economic benefits. Certain regulations, however, are slowing investment and deterring entry into the broadband market. In this statement, we make two recommendations that would remedy these regulatory defects and thereby lower artificial barriers to competitive provision of broadband services.
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3.
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Alessandro Acquisti Carnegie Mellon University - H. John Heinz III School of Public Policy and Management Hal R. Varian University of California, Berkeley - School of Information
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19 Nov 02
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19 Nov 02
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209 (40,778)
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Many transactions are now computer mediated, making it possible for sellers to condition their pricing on the history of interactions with individual consumers. This paper investigates conditions under which price conditioning will or will not be used. Our simplest model involves rational consumers with constant valuations for the good being sold and a monopoly seller who can commit to a pricing policy. In this framework, the seller will not find it profitable to condition pricing on past behavior. We consider various generalizations of this model, such as allowing the seller to offer enhanced services to previous customers, making the seller unable to commit to a pricing policy, and allowing competition in the marketplace. All of these generalizations have equilibria with price conditioning.
Price discrimination, Price conditioning, Privacy, Ecommerce, Microeconomics
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4.
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Hal R. Varian University of California, Berkeley - School of Information Jeffrey K. MacKie-Mason University of Michigan
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07 Apr 07
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07 Apr 07
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64 (105,180)
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Abstract:
We describe a generalization of the Vickrey auction. Our mechanism extends the auction to implement efficient allocations for problems with more than one good, multiple units for the goods, and externalities. The primary restriction on preferences is that they must be quasilinear.
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Roger H. Gordon University of California, San Diego - Department of Economics Hal R. Varian University of California, Berkeley - School of Information
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31 May 04
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31 May 04
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31 (142,281)
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In this paper, we argue that in designing government debt and tax-transfer policies, it is important to consider their implications for the allocation of risk between generations. There is no reason to presume that the market or the family can allocate risk efficiently to future generations, implying that stochastic government policies have the potential to create first-order welfare improvements. The model provides a non-Keynsian justification for debt-finance of wars and recessions, as well as an added rationale for Social Security type tax-transfer schemes which aid unlucky generations, e.g., the Depression generation,at the expense of luckier generations.
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6.
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Roger H. Gordon University of California, San Diego - Department of Economics Hal R. Varian University of California, Berkeley - School of Information
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04 Jul 04
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08 Sep 08
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13 (187,181)
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10
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Abstract:
No abstract is available for this paper.
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7.
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Hal R. Varian University of California, Berkeley - School of Information
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04 Apr 08
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15 Oct 09
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7 (203,371)
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Abstract:
This article examines three recent topics in copyright policy from an economic perspective: (i) term extensions, (ii) the orphan works problem, and (iii) mass digitization projects. Copyright term extensions will make it even more difficult to locate rights holders in the future than it is at present' however there are some recent legislative proposals to address this problem. Term extensions will also make finding works more difficult, but here mass digitization projects may be helpful.
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8.
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Jeffrey K. MacKie-Mason University of Michigan Scott Shenker Xerox Corp. Hal R. Varian University of California, Berkeley - School of Information
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20 Apr 07
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20 Apr 07
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0 (0)
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Abstract:
An earlier version of Service Architecture and Content Provision, as presented at the Telecom Policy Research Conference 1995. There are some additional mathematical examples, and a short section on the effects of architecture on content creation that we did not include in the published version.
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9.
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Jeffrey K. MacKie-Mason University of Michigan Hal R. Varian University of California, Berkeley - School of Information
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20 Apr 07
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20 Apr 07
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Abstract:
This paper was prepared for the Tenth Michigan Public Utility Conference at Western Michigan University March 25-27, 1993. We describe the history, technology and cost structure of the Internet. We also describe a possible smart-market mechanism for pricing congestion on the Internet.
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10.
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Jeffrey K. MacKie-Mason University of Michigan Hal R. Varian University of California, Berkeley - School of Information
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20 Apr 07
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20 Apr 07
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Abstract:
This is a set of Frequently Asked Questions (and answers) about the economic, institutional, and technological structure of the Internet. We describe the history and current state of the Internet, discuss some of the pressing economic and regulatory problems, and speculate about future developments.
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11.
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Jeffrey K. MacKie-Mason University of Michigan Hal R. Varian University of California, Berkeley - School of Information
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20 Apr 07
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20 Apr 07
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Abstract:
We describe the basic economic theory of pricing a congestible resource such as an ftp server, a router, a Web site, etc. In particular, we examine the implications of "congestion pricing" as a way to encourage efficient use of network resources. We explore the implications of flat pricing and congestion pricing for capacity expansion in centrally planned, competitive, and monopolistic environments.
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12.
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Jeffrey K. MacKie-Mason University of Michigan Hal R. Varian University of California, Berkeley - School of Information
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20 Apr 07
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Last Revised:
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20 Apr 07
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0 (0)
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Abstract:
We describe the technology and costs of the Internet, then discuss how to design efficient pricing in order to allocate scarce Internet resources. We offer a "smart market" as a device to efficiently price congestion.
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13.
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Jeffrey K. MacKie-Mason University of Michigan Hal R. Varian University of California, Berkeley - School of Information
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20 Apr 07
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20 Apr 07
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0 (0)
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Abstract:
This is a list of Frequently Asked Questions about usage-based pricing of the Internet. We argue that usage-based pricing is likely to come sooner or later and that some serious thought should be devoted to devising a sensible system of usage-based pricing.
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