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Thomas J. Sargent

Thomas J. Sargent is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Thomas J. Sargent rather than just read about it. In short: Thomas John Sargent (born July 19, 1943) is an American economist and a Rowan Distinguished Professor of Finance at the Wharton School of the University of Pennsylvania. He specializes in the fields of macroeconomics, monetary economics, and time series econometrics.

Thomas J. Sargent — main illustration
Thomas J. Sargent — illustration

Key takeaways

  • Thomas J. Sargent belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Thomas J. Sargent to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Thomas J. Sargent from memory before moving on to harder problems.

Reference excerpt

Thomas John Sargent (born July 19, 1943) is an American economist and a Rowan Distinguished Professor of Finance at the Wharton School of the University of Pennsylvania. He specializes in the fields of macroeconomics, monetary economics, and time series econometrics. He was awarded the Nobel Memorial Prize in Economics in 2011 together with Christopher A. Sims for their "empirical research on cause and effect in the macroeconomy". Sargent previously held a joint appointment at New York University, where he joined the university in 2002 as the first W. R. Berkley Professor of Economics and Business. He has also held teaching positions at the University of Pennsylvania (1970–71), University of Minnesota (1971–87), University of Chicago (1991–98), and Stanford University (1998–2002), as well as a visiting position at Princeton University.

Education Sargent graduated from Monrovia High School. He earned his B.A. from the University of California, Berkeley in 1964, being the University Medalist as Most Distinguished Scholar in Class of 1964, and his PhD from Harvard in 1968, under supervision of John R. Meyer. Sargent's classmates at Harvard included Christopher A. Sims. After serving in the U.S. Army as a first lieutenant and captain, he moved on to teaching. He held teaching positions at the University of Pennsylvania (1970–71), University of Minnesota (1971–87), University of Chicago (1991–98), Stanford University (1998–2002) and Princeton University (2009), and is currently a professor of economics at New York University (since 2002). He previously held the position of President of the American Economic Association and the Econometric Society where he has been a fellow since 1976. In 1983, Sargent was elected to the National Academy of Sciences and also the American Academy of Arts and Sciences. He has been a senior fellow of the Hoover Institution at Stanford University since the year 1987.

Professional contributions Sargent is one of the leaders of the "rational expectations revolution," which argues that the people being modeled by economists can predict the future, or the probability of future outcomes, at least as well as the economist can with his model. Rational expectations was introduced into economics by John Muth, then Robert Lucas, Jr., and Edward C. Prescott took it much farther. In work written in close collaboration with Lucas and Neil Wallace, Thomas J. Sargent contributed fundamentally to the evolution of new classical macroeconomics. Sargent's main contributions to rational expectations were these:

trace the implications of rational expectations, with Wallace, for alternative monetary-policy instruments and rules on output stability and price determinacy. help make the theory of rational expectations statistically operational. provide some early examples of rational expectations models of the Phillips curve, the term structure of interest rates, and the demand for money during hyperinflations. analyze, along with Wallace, the dimensions along which monetary and fiscal policy must be coordinated intertemporally. conduct several historical studies that put rational expectations reasoning to work to explain consequences of dramatic changes in macroeconomic policy regimes. In 1975 he and Wallace proposed the policy-ineffectiveness proposition, which challenged a basic assumption of Keynesian economics. Sargent went on to refine or extend rational expectations reasoning by further:

studying the conditions under which systems with bounded rationality of agents and adaptive learners converge to rational expectations. using the notion of a self-confirming equilibrium, a weaker notion of rational expectations suggested by limits of learning models. studying contexts with Lars Peter Hansen in which decision makers do not trust their probability model. In particular, Hansen and Sargent adapt and extend methods from robust control theory. Sargent has also been a pioneer in introducing recursive economics to academic study, especially for macroeconomic issues such as unemployment, fiscal and monetary policy, and growth. His series of textbooks, co-authored with Lars Ljungqvist, are seminal in the contemporary graduate economics curriculum. Sargent has pursued a research program with Ljungqvist designed to understand determinants of differences in unemployment outcomes in Europe and the United States during the last 30 years. The two key questions the program addresses are why, in the 1950s and 1960s, unemployment was systematically lower in Europe than in the United States and why, for two and a half decades after 1980, unemployment has been systematically higher in Europe than in the United States. In "Two Questions about European Unemployment," the answer is that "Europe has stronger employment protection despite also having had more generous government supplied unemployment compensation"." While the institutional differences remained the same over this time period, the microeconomic environment for workers changed, with a higher risk of human capital depreciation in the 1980s. In 1997, he won the Nemmers Prize in Economics In 2011, he was awarded the NAS Award for Scientific Reviewing from the National Academy of Sciences and, in September, he became the recipient of the 2011 CME Group-MSRI Prize in Innovative Quantitative Applications. Sargent's reading group at Stanford and NYU is a known institution among graduate students in economics. In 2016, Sargent helped found the non-profit QuantEcon project, which is dedicated to the development and documentation of modern open source computational tools for economics, econometrics, and decision making. Currently he is director of the Sargent Institute of Quantitative Economics and Finance (SIQEF) at Peking University HSBC Business School in Shenzhen.

Nobel Prize

On October 10, 2011, Sargent, with Christopher A. Sims, was awarded the Nobel Memorial Prize in Economic Sciences. The award cited their "empirical research on cause and effect in the macroeconomy". His Nobel lecture, "United States Then, Europe Now," was delivered on December 11, 2011.

In popular culture He is featured playing himself in a television commercial for Ally Financial in which he is asked if he can predict CD rates two years from now, to which he simply answers, "No." Sargent is notable for making short speeches. For example, in 2007 his Berkeley graduation speech consumed 335 words.

Selected publications

References

External links

… excerpt ends here. Continue reading the full article.

Illustrations

Thomas J. Sargent illustration
Thomas J. Sargent illustration

Worked examples

Example 1 — a first encounter with Thomas J. Sargent

Start with the simplest possible case. Write down what Thomas J. Sargent claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Thomas J. Sargent before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Thomas J. Sargent ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Thomas J. Sargent

In research
Thomas J. Sargent appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Thomas J. Sargent in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Thomas J. Sargent is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1943 births, 20th-century American economists, 20th-century American writers, so understanding it makes those chapters shorter.
In everyday life
Look for Thomas J. Sargent outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Thomas J. Sargent in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Thomas J. Sargent means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Thomas J. Sargent out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Thomas J. Sargent in simple terms?

Thomas John Sargent (born July 19, 1943) is an American economist and a Rowan Distinguished Professor of Finance at the Wharton School of the University of Pennsylvania. He specializes in the fields of macroeconomics, monetary economics, and time series econometrics.

Why does Thomas J. Sargent matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Thomas J. Sargent?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Thomas J. Sargent.

Tags

  • 1943 births
  • 20th-century American economists
  • 20th-century American writers
  • 21st-century American economists
  • 21st-century American non-fiction writers
  • American Nobel laureates
  • American macroeconomists
  • American male non-fiction writers
  • Corresponding fellows of the British Academy
  • Distinguished fellows of the American Economic Association
  • Economists from California
  • Fellows of the American Academy of Arts and Sciences

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