H
Hal R. Varian
Researcher at Google
Publications - 258
Citations - 42185
Hal R. Varian is an academic researcher from Google. The author has contributed to research in topics: The Internet & Public good. The author has an hindex of 74, co-authored 257 publications receiving 40181 citations. Previous affiliations of Hal R. Varian include National Bureau of Economic Research & Massachusetts Institute of Technology.
Papers
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Book ChapterDOI
The Stability of a Disequilibrium IS-LM Model
TL;DR: In this article, a disequilibrium version of the standard IS-LM model is constructed and used to analyze the stability of the model, and the main feature of this model is a spillover from the money market to the output market; if there is an excess demand for loanable funds (or an excess supply of bonds) firms will be unable to finance all of their desired investment, and aggregate demand will therefore be smaller than would otherwise be the case.
Who Signed Up for the Do-Not-Call List?
TL;DR: Varian et al. as discussed by the authors used the results of a natural experiment to assess consumer demand for a particular kind of privacy, protection from unwanted telemarketing calls, and obtained the phone numbers placed on the Federal Trade Commission's do-not-call (DNC) registry, redacted for privacy.
Journal ArticleDOI
Statement on Prediction Markets
Vernon L. Smith,Kenneth J. Arrow,Shyam Sunder,Shyam Sunder,Robert Forsythe,Robert E. Litan,Eric Zitzewitz,Eric Zitzewitz,Michael Gorham,Robert W. Hahn,Robin Hanson,Robin Hanson,Daniel Kahneman,John O. Ledyard,Saul Levmore,Paul Milgrom,Forrest D. Nelson,George R. Neumann,Marco Ottaviani,Charles R. Plott,Thomas C. Schelling,Robert J. Shiller,Robert J. Shiller,Robert J. Shiller,Erik Snowberg,Cass R. Sunstein,Paul C. Tetlock,Philip E. Tetlock,Philip E. Tetlock,Hal R. Varian,Justin Wolfers +30 more
TL;DR: In this paper, the authors 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.
Journal ArticleDOI
A remark on boundary restrictions in the global Newton method
TL;DR: In this article, the authors show how Smale's method of computing fixed points can be extended to problems involving very general boundary behavior and show how this can be used to solve boundary problems.