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Hal R. Varian

dblp:45/1733 · DBLP profile ↗
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7ranked-venue papers
4as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 4 · 4 first-authorArtificial intelligence and machine learning · 2 · 2 first-authorComputer networks · 2Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Computational finance and economics · 100%
Theoretical computer science
1 paper
Algorithmic game theory and mechanism design · 100%
Databases, data mining, and information retrieval
3 papers
Information retrieval · 100%
Computer networks
1 paper
Network optimization and economics · 100%

Topics — the 8 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational finance and economics › economics
economic forecasting
0.212013
Predicting the present with search engine data · KDD 2013
Algorithmic game theory and mechanism design › mechanism design
auction design
0.112009
Google's Auction for TV Ads · ICALP (2) 2009
Algorithmic game theory and mechanism design › mechanism design › auction design
ad auction
0.012009
Google's Auction for TV Ads · ICALP (2) 2009
Information retrieval
search economics
0.011999
The Economics of Search · SIGIR 1999
Network optimization and economics › pricing
congestion pricing
0.011995
Pricing Congestible Network Resources (Invited Paper) · IEEE J. Sel. Areas Commun. 1995
Network optimization and economics
pricing
0.011995
Pricing Congestible Network Resources (Invited Paper) · IEEE J. Sel. Areas Commun. 1995
Network optimization and economics
resource allocation
0.011995
Pricing Congestible Network Resources (Invited Paper) · IEEE J. Sel. Areas Commun. 1995
Network optimization and economics › pricing
internet pricing
0.011995
Pricing Congestible Network Resources (Invited Paper) · IEEE J. Sel. Areas Commun. 1995

Methods — techniques the papers use, named apart from their topics

search data analysis · 0.3google trends · 0.3queueing model · 0.0economic theory · 0.0
YearPublicationVenuePosition
2013 Predicting the present with search engine data
abstract
Many businesses now have almost real time data available about their operations. This data can be helpful in contemporaneous prediction ("nowcasting") of various economic indicators. We illustrate how one can use Google search data to nowcast economic metrics of interest, and discuss some of the ramifications for research and policy.
Hal R. Varian
KDD1
2012 Nowcasting the macroeconomy with search engine data
abstract
It is now possible to acquire real time information on economic variables of interest from various commercial sources. I illustrate how one can use Google Trends data to measure the state of the macroeconomy in various sectors, and discuss some of the ramifications for research and policy.
Hal R. Varian
WSDM1
2009 Google's Auction for TV Ads
Noam Nisan, Jason Bayer, Deepak Chandra, Tal Franji, Robert Gardner, Yossi Matias, Neil Rhodes, Misha Seltzer, Danny Tom, Hal R. Varian, Dan Zigmond
ICALP (2)10
1999 The Economics of Search
abstract
No abstract available.
Hal R. Varian
SIGIR1
1997 The Economics of Communication and Information, edited by Donald M. Lamberton
Hal R. Varian
J. Am. Soc. Inf. Sci.1
1995 Some FAQs about Usage-Based Pricing
Jeffrey K. MacKie-Mason, Hal R. Varian
Comput. Networks ISDN Syst.2
1995 Pricing Congestible Network Resources (Invited Paper)
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. The most common form of Internet pricing is pricing by access, with no usage-sensitive prices. With a fixed set of users, we expect to see greater capacity when usage is not priced, but also greater congestion. However, with greater congestion, congestion-sensitive users might not use the resource.>
Jeffrey K. MacKie-Mason, Hal R. Varian
IEEE J. Sel. Areas Commun.2