John Rust
John Philip Rust is an American economist and econometrician.
John Rust received his PhD from MIT in 1983 and taught at the University of Wisconsin, Yale University and University of Maryland before joining Georgetown University in 2012.
John Rust was awarded Frisch Medal in 1992
and became the fellow of Econometric Society in 1993.
John Rust is best known as one of the founding fathers of the
structural estimation of dynamic discrete choice
models
and the developer of the nested fixed point maximum likelihood estimator which is widely used
in structural econometrics.
However, he had published papers on broad range of topics including
equilibrium in the markets of durable goods,
social security, retirement, disability insurance,
nuclear power industry,
real estate economics,
rental car industry,
transportation research,
auction markets,
computational economics,
dynamic games.
Education and career
John Rust was born in Wisconsin on May 23, 1955. He graduated fromWaukesha High School in 1973, completed B.A. in Mathematics in 1977 at the
University of Pennsylvania, and received his Ph.D. in Economics from
Massachusetts Institute of Technology in 1983.
His dissertation titled “Stationary Equilibrium in a Market for Durable Assets”
under the supervision of Daniel McFadden was published as Econometrica article in 1985.
After graduating from University of Pennsylvania in 1977, John
Rust worked as research analyst for Morgan Stanley in New York City for two years.
His first academic job was at the University of Wisconsin, after which he had professorial
positions at Yale University and University of Maryland before
starting his current affiliation with Georgetown University.
John Rust had been affiliated with a number of governmental bodies, including
Board of Governors, Federal Reserve System,
Panel of Expert Reviewers of Social Security Administration’s MINT Model,
Technical Panel of Social Security Advisory Board,
Long Term Modeling Advisory Group U.S. Congressional Budget Office,
Social Security Administration.
He has also been a member of Steering Committee of the Health and Retirement Study at
University of Michigan,
senior advisor at The Brattle Group and
fellow of .
Research and contributions
Dynamic discrete choice models
Rust is best known for developing methods for analyzing dynamic discrete choice. In his best-known paper, he modeled the decision of Harold Zurcher, superintendent of the Madison, Wisconsin Metropolitan Bus Company, whether and when to replace the engines of buses in his fleet, and developed the nested fixed point algorithm to estimate the model using data on when the buses were replaced. This paper is one of the first dynamic stochastic models of discrete choice estimated using real data, and continues to serve as classical example of the problems of this type. The methods Rust developed have been used to study dynamic economic decisions in other contexts, including retirement and occupational choice.Methodological debate
Although John Rust is a prominent structural econometrician,in the ongoing debate
between adepts of the structural and
non-structural econometric approaches,
he has expressed a balanced position.
I really do not understand the widespread antipathy towards structural econometrics. I do not see any basis for the belief that the reduced form approaches adopted by statistical modelers is more justified or legitimate than the structural econometric approach adopted by economic modelers. Both types of modelers have to impose strong assumptions, and it seems all that we can say is that these models and the underlying identifying assumptions are just different.
It really isn’t productive to criticize the status quo in economics these days, nor is it productive to try to promote the virtues of structural estimation. Criticism only encourages the practitioners to rally around the flag. I think it is equally a waste of time to try to engage in salesmanship.
Instead, in his review of "The Limits of Inference without Theory" by Kenneth Wolpin
titled "The Limits of Inference with Theory"
John Rust brings attention to the limits of inference inherent to any econometric approach,
and argues that collection of better data and closer cooperation between structural and the
experimental economics will lead to more useful empirical knowledge.
My main message is though there is ample room for getting far more knowledge from limited data by optimally combining inductive and deductive approaches to inference and learning, it is important to recognize that there are a number of inherent limits to inference that may be insuperable. These limits were not adequately addressed in Wolpin’s book, and motivated the title of this review.
John Rust holds a stronger position on the issue of disconnect between theoretical economics and econometrics
from the real world problems.
At the "Causality in the Social Sciences Conference" held at Stanford University on December 5–6, 2014
he gave a talk titled
""
where he pointed out that development of complicated econometric theories is rewarded disproportionally
to their practical usefulness.
Professional service
In 2004 John Rust co-founded the software development companywhich operates several web-based software products widely used by the economic profession.
Technoluddities, Inc. owns trademarks to three of these services, namely Editorial Express,
Conference Maker and Head Hunter.
Editorial Express
is web-based editorial tracking software that can enable"paper-free" operation of the key editorial functions of a journal.
Some of the features of this system include guaranteed low pricing, secure operations and data
encryption, electronic submission of papers and referee reports, easy assignment of editors and referees, built-in email
notification and automatic reminders, statistical functions and reporting.
Editorial express is regarded by many as one of the best journal management systems.
Editorial Express used by many leading journals in economics including
Econometrica,
Quarterly Journal of Economics,
RAND Journal of Economics,
Review of Economic Studies
Journal of Applied Econometrics,
International Economic Review,
Review of Economics and Statistics,
Journal of Finance and other.
Conference Maker
is web-based software for organizing international conferences.Conference Maker allows a program chair and their selected program committee
to handle the submission process in a decentralized fashion. All members of the program committee can
log in at any time via secure password protected accounts and can view all submissions online.
Program committee members are assigned certain subsets of submissions and can make accept/reject decisions by clicking a button.
There is also a simple interface for forming sessions, searching for discussants and session chairs,
posting/updating the conference program to an automatically generated web page,
and sending mass emails to arbitrarily selected subgroups of users.
Over 625 international conferences have used Conference Maker since it was introduced in 2001,
more than 150,000 submissions have been made to Conference Maker for these various
conferences and over 290,000 people worldwide have used it.
Head Hunter
is web-based academic recruiting software specially designed as a "back end interface" to the.
Some of the features of this system include paperless operation, built-in scheduling module,
easy setup, high security, electronic applications and reference letters.
Head Hunter is one of the internal interfaces which facilitate for the
departments the work with the applications and reference letters collected by
EconJobMarket.org centralized application collection system.
EconJobMarket.org
is a nonprofit organization that facilitates the flow of information in the economicsjob market by providing a secure central repository for the files of job-market candidates
accessed on line.
EJM was founded in 2007 by Martin Osborne, John Rust, and Joel Watson, and is
run by a group of academic economists who volunteer their time and effort.
EconJobMarket.org is endorsed by
The Econometric Society,
Canadian Economics Association,
European Economic Association,
,
Society for Economic Dynamics,
,
and
The theoretical foundation for the creation of EconJobMarket.org
is described in Chapter 7 of The Handbook of Market Design.
EJM does not attempt to fundamentally alter the decentralized “endogenous search and matching” process by which the economics job market currently operates. Since there is unrestricted entry of intermediaries similar to EJM and a number of for-profit and non-profit organizations are currently competing in this market, we discuss the problem of market fragmentation that can occur when too many organizations attempt to intermediate trade in the market. Contrary to conventional wisdom in industrial organization theory, we show that unrestricted entry and competition of intermediaries can result in suboptimal outcomes. We discuss conditions under which the market might be improved if there is sufficient coordination to promote information sharing, such as establishing a dominant information clearinghouse that operates as a non-profit public service — a role EJM is trying to fulfill.
EconJobMarket.org grew in various significant characteristics
between its inception and 2011 at an average annual rate between 79% and 194%.