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| information economics | |
|---|---|
| Name | Information economics |
| Field | Economics |
| Notable figures | Kenneth Arrow, George Akerlof, Michael Spence, Joseph Stiglitz, Hiroyuki Kawaguchi |
| Originated | 1950s |
| Key publications | The Market for Lemons, Uncertainty and the Welfare Economics of Medical Care, Job Market Signaling |
| Institutions | Stanford University, Harvard University, University of Chicago, Massachusetts Institute of Technology, London School of Economics |
information economics is the study of how information and information systems influence decisions made by agents, markets, and institutions. It examines how asymmetries, costs of acquisition, and strategic communication affect outcomes in contexts such as contracting, finance, labor, and public policy. The field synthesizes contributions from scholars and institutions across economics, game theory, and decision theory to explain phenomena in markets and organizations.
Information economics traces roots to pioneers like Kenneth Arrow, George Akerlof, Michael Spence, and Joseph Stiglitz whose works at Stanford University, Harvard University, University of Chicago, and Massachusetts Institute of Technology shaped core results. Key historical milestones include publications such as Uncertainty and the Welfare Economics of Medical Care and The Market for Lemons emerging from debates at Cowles Commission, RAND Corporation, and conferences at London School of Economics. Applied strands flourished in centers like National Bureau of Economic Research, Centre for Economic Policy Research, and research labs at Bell Labs and AT&T.
Foundational models build on asymmetric information frameworks advanced in seminars at Princeton University and Yale University and formalized using tools associated with John von Neumann and Oskar Morgenstern game theory. Core theoretical constructs include signaling models exemplified by Job Market Signaling, screening models explored by scholars at Columbia University, and principal–agent formulations used in studies at University of Pennsylvania and New York University. Information aggregation and mechanism design draw on insights from Roger Myerson, Leonid Hurwicz, and research at University of Chicago Booth School of Business, connecting to auction theory developed in work associated with Paul Milgrom, Robert Wilson, and Vickrey. Extensions integrate stochastic processes from Andrey Kolmogorov and decision theory debates featuring Herbert Simon and Daniel Kahneman.
Information economic analysis applies to financial markets studied by researchers at Goldman Sachs, Bank of England, and Federal Reserve Bank of New York where adverse selection and market microstructure explain phenomena explored in Black–Scholes model contexts and in empirical work by Eugene Fama and Lars Peter Hansen. Labor market mechanisms draw on signaling examples from Job Market Signaling and screening practices in firms such as McKinsey & Company and General Electric. Insurance markets examined via models at Princeton and Columbia Business School demonstrate moral hazard and selection effects, while platform markets analyzed by scholars at Stanford Graduate School of Business and MIT Sloan School of Management address reputation systems, two-sided market design, and matching studied alongside Gale–Shapley algorithm applications. Health care allocation debates connect to research at World Health Organization and Johns Hopkins Bloomberg School of Public Health.
Adverse selection and moral hazard frameworks are central, with canonical examples from The Market for Lemons and contract theory advanced at Yale Law School and Harvard Business School. Principal–agent problems feature in corporate governance cases at Enron and regulatory inquiries at Securities and Exchange Commission; academic treatments hail from Chicago Booth and Columbia Law School. Incentive-compatible mechanisms and screening devices build on results by Roger Myerson and were discussed in policy briefs at Organisation for Economic Co-operation and Development and International Monetary Fund. Reputational equilibria and repeated-interaction solutions draw on work published in outlets affiliated with American Economic Association and research seminars at Cornell University.
Quantifying information uses entropy concepts from Claude Shannon and algorithmic information theory linked to Andrey Kolmogorov and institutions like Bell Laboratories and IBM Research. Valuation methods integrate expected utility frameworks from John von Neumann and empirical estimation techniques developed in labs at Microsoft Research, Google Research, and Facebook AI Research. Information rents and value of information calculations appear in corporate finance analyses by scholars at London Business School and INSEAD, while nonmarket valuation methods are used in environmental assessments by United Nations Environment Programme and econometric approaches taught at Princeton and Stanford.
Regulatory design addresses asymmetric information in insurance, banking, and securities regulation enforced by Federal Reserve, Securities and Exchange Commission, and European Central Bank. Competition policy considerations informed by information economics were debated at Federal Trade Commission and European Commission; antitrust cases involving Microsoft and AT&T illustrated deployment of information-based arguments. Public procurement reforms drawing from principal–agent theory were implemented in municipalities like New York City and London, and international development programs influenced by information constraints operated via World Bank and United Nations Development Programme.
Laboratory experiments testing signaling and screening were conducted at University of Arizona and University of Zurich and reported through conferences at Econometric Society and American Political Science Association. Field experiments in markets and development settings were led by researchers associated with J-PAL at MIT and published in journals tied to National Bureau of Economic Research. Empirical strategies exploit natural experiments from events such as 2008 financial crisis and regulatory changes at Dodd–Frank Act enactment; econometric innovations draw from methods linked to Angrist and Pischke and model selection techniques promoted at Institute for Advanced Study.