Presentation Speech by Professor Karl Gustav
Jöreskog of the Royal Swedish Academy of Sciences, December 10, 2000.
Translation of the Swedish text.
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| Professor Karl Gustav Jöreskog delivering
the Presentation Speech for the 2000 Bank of Sweden Prize
in Economic Sciences in Memory of Alfred Nobel at the Stockholm
Concert Hall. Copyright © Nobel Web AB 2000 Photo: Hans Mehlin |
Your Majesties, Your Royal Highnesses, Ladies
and Gentlemen,
What determines whether an individual chooses to work and, if
so, how many hours? How do economic incentives affect individual
choices of education, occupation, place of residence and travel
mode? What are the effects of labor market programs and educational
programs on income and employment? Reliable answers to such questions
require access to microdata, i.e., detailed data on the economic
behavior of individuals. This year's Laureates in Economic Sciences
have developed methods for solving fundamental problems arising
in the analysis of microdata. James Heckman and Daniel McFadden
have made pioneering research contributions to microeconometrics,
an area in the borderland between economics and statistics. Their
methods have become standard tools of microeconometric research
in economics as well as in other social sciences, and have been
applied to solving many important problems in society.
Social scientists cannot, as do natural scientists, assume that
the effects of a given intervention or treatment on certain individuals
will generalize to other individuals. Unlike atoms and molecules,
the behavior of individuals depends on specific characteristics
of the individuals which researchers cannot observe, much less
control. One can estimate the average effect on a population in
those rare cases where the results of a random sample can be compared
to a control group. But the researcher is usually confined to
analyzing existing, non-random microdata. For example: Suppose
we want to estimate the effect of education on income. The problem
is that the available data on wages constitute a selective, rather
than a random sample, because individuals who choose to work or
engage in education may have other, unobserved characteristics
than those who choose to abstain from education or remain outside
the labor force. Heckman has developed methods for handling selective
samples in a statistically satisfactory way. He has also shown
how similar methods can be used to evaluate the effect of public
labor market programs and educational programs, and to estimate
the effect of length of unemployment on the chance of getting
a job. The methods can also be used to study discrimination. Heckman
has made significant empirical studies in all these areas. His
work has had a decisive influence both on subsequent methodological
development and on applied research in microeconometrics.
McFadden has shown how we can handle another fundamental aspect
of microdata, namely data on the most important decisions we make
in life: the choice of education, occupation, place of residence,
marital status, number of children, etc. Such decisions are called
discrete choices since they are choices among a few alternatives.
Empirical studies of such choices lacked a foundation in economic
theory. McFadden's breakthrough in the mid-1970s was to develop
new statistical methods based on a new economic theory of discrete
choice. His prize-winning contributions had an enormous impact
on modern micreconometrics and fundamentally changed the way researchers
viewed empirical studies of individual economic behavior. His
methods are very useful. One of many examples is traffic planning,
where McFadden's models are used in order to study what factors
determine individuals' choice of travel mode, for example, whether
they choose a car, bus or subway to go to work. The models can
be used to predict changes in the percentage of all travelers
who choose a given alternative, for instance, if the price of
gasoline goes up, if the subway becomes more easily accessible
or if longer life span, lower birth rate or a larger influx of
people changes the demographic structure of the population. One
of McFadden's original applications concerned the design of the
Bay Area Rapid Transport (BART) system in the San Francisco area.
He later studied investments in telephone service and senior housing.
One of his most recent applications concern the valuation of natural
resources, where his model was used to estimate the environmental
damage caused by the Alaska oil spill from the tanker Exxon Valdez
in 1989.
Professor Heckman, Professor McFadden:
Your pioneering contributions
to the analysis of microdata laid the foundation for modern microeconometrics.
The methods you developed, together with new data sets and powerful
computers, made it possible to study individual economic behavior
in a statistically correct way. In your own applied research you
demonstrated how solid empirical knowledge can help address important
social problems. It is a great honor and privilege for me to convey
to you, on behalf of the Royal Swedish Academy of Sciences, our
warmest congratulations. I now ask you to receive your Prizes
from the hands of His Majesty the King.
From Les Prix Nobel. The Nobel Prizes 2000, Editor Tore Frängsmyr, [Nobel Foundation], Stockholm, 2001
Copyright © The Nobel Foundation 2000