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Information economics

Information economics or the economics of information is the branch of microeconomics that studies how information and information systems affect an economy and economic decisions.[1]

Not to be confused with Information economy.

One application considers information embodied in certain types of commodities that are "expensive to produce but cheap to reproduce."[2] Examples include computer software (e.g., Microsoft Windows), pharmaceuticals and technical books. Once information is recorded "on paper, in a computer, or on a compact disc, it can be reproduced and used by a second person essentially for free."[2] Without the basic research, initial production of high-information commodities may be too unprofitable to market, a type of market failure. Government subsidization of basic research has been suggested as a way to mitigate the problem.[2]


The subject of "information economics" is treated under Journal of Economic Literature classification code JEL D8 – Information, Knowledge, and Uncertainty. The present article reflects topics included in that code. There are several subfields of information economics. Information as signal has been described as a kind of negative measure of uncertainty.[3] It includes complete and scientific knowledge as special cases. The first insights in information economics related to the economics of information goods.


In recent decades, there have been influential advances in the study of information asymmetries[4] and their implications for contract theory, including market failure as a possibility.[5]


Information economics is formally related to game theory as two different types of games that may apply, including games with perfect information,[6] complete information,[7] and incomplete information.[8] Experimental and game-theory methods have been developed to model and test theories of information economics,[9] including potential public-policy applications such as mechanism design to elicit information-sharing and otherwise welfare-enhancing behavior.[10]


An example of game theory in practice would be if two potential employees are going for the same promotion at work and are conversing with their employer about the job. However, one employee may have more information about what the role would entail then the other.[11] Whilst the less informed employee may be willing to accept a lower pay rise for the new job, the other may have more knowledge on what the role's hours and commitment would take and would expect a higher pay. This is a clear use of incomplete information to give one person the advantage in a given scenario. If they talk about the promotion with each other in a process called colluding there may be the expectation that both will have equally informed knowledge about the job. However the employee with more information may mis-inform the other one about the value of the job for the work that is involved and make the promotion appear less appealing and hence not worth it. This brings into action the incentives behind information economics and highlights non-cooperative games.[11]

Value of information[edit]

The starting point for economic analysis is the observation that information has economic value because it allows individuals to make choices that yield higher expected payoffs or expected utility than they would obtain from choices made in the absence of information. Data valuation is an emerging discipline that seeks to understand and measure the economic characteristics of information and data.[12]

Information, the price mechanism and organizations[edit]

Much of the literature in information economics was originally inspired by Friedrich Hayek's "The Use of Knowledge in Society" on the uses of the price mechanism in allowing information decentralization to order the effective use of resources. [13] Although Hayek's work was intended to discredit the effectiveness of central planning agencies over a free market system, his proposal that price mechanisms communicate information about scarcity of goods inspired Abba Lerner, Tjalling Koopmans, Leonid Hurwicz, George Stigler and others to further develop the field of information economics. Next to market coordination through the price mechanism, transactions can also be executed within organizations. The information requirements of the transaction are the prime determinant for the actual (mix of) coordination mechanism(s) that we will observe.[14]

Information goods[edit]

Buying and selling information is not the same as buying and selling most other goods. There are three factors that make the economics of buying and selling information different from solid goods:


First of all, information is non-rivalrous, which means consuming information does not exclude someone else from also consuming it. A related characteristic that alters information markets is that information has almost zero marginal cost. This means that once the first copy exists, it costs nothing or almost nothing to make a second copy. This makes it easy to sell over and over. However, it makes classic marginal cost pricing completely infeasible.


Second, exclusion is not a natural property of information goods, though it is possible to construct exclusion artificially. However, the nature of information is that if it is known, it is difficult to exclude others from its use. Since information is likely to be both non-rivalrous and non-excludable, it is frequently considered an example of a public good.


Third is that the information market does not exhibit high degrees of transparency. That is, to evaluate the information, the information must be known, so you have to invest in learning it to evaluate it. To evaluate a bit of software you have to learn to use it; to evaluate a movie you have to watch it.


The importance of these properties is explained by De Long and Froomkin in The Next Economy.

More information[edit]

In 2001, the Nobel prize in economics was awarded to George Akerlof, Michael Spence, and Joseph E. Stiglitz "for their analyses of markets with asymmetric information".[34]

Bakos, Yannis and Brynjolfsson, Erik 2000. "Bundling and Competition on the Internet: Aggregation Strategies for Information Goods" Marketing Science Vol. 19, No. 1 pp. 63–82.

Bakos, Yannis and Brynjolfsson, Erik 1999. "Bundling Information Goods: Pricing, Profits and Efficiency" Management Science, Vol. 45, No. 12 pp. 1613–1630

Brynjolfsson, Erik, and Saunders, Adam, 2009. "Wired for Innovation: How information technology is reshaping the economy", , ISBN 0-262-01366-5 ISBN 978-0-262-01366-6

[1]

; Michael D. Whinston, and Jerry R. Green, 1995, Microeconomic Theory. Oxford University Press. Chapters 13 and 14 discuss applications of adverse selection and moral hazard models to contract theory.

Mas-Colell, Andreu

1981. "Good News and Bad News: Representation Theorems and Applications," Bell Journal of Economics, 12(2), pp. 380–391.

Milgrom, Paul R.

1970. "Information and Consumer Behavior," Journal of Political Economy, 78(2), p p. 311–329.

Nelson, Phillip

_____, 1974. "Advertising as Information," Journal of Political Economy, 82(4), pp. , 978-0134645957

729–754. Technology

2001. "Search, Economics of," International Encyclopedia of the Social & Behavioral Sciences, pp. 13760–13768. Abstract.

Pissarides, C. A.

and Joseph Stiglitz, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," Quarterly Journal of Economics, 90(4), pp. 629–649.

Rothschild, Michael

and Hal R. Varian, 1999. Information Rules: A Strategic Guide to the Network Economy. Harvard University Press. Description and scroll to chapter-preview links.

Shapiro, Carl

1961. "The Economics of Information," Journal of Political Economy, 69(3), pp. 213–225.

Stigler, George J.

and Andrew Weiss, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, 71(3), pp. 393–410.

Stiglitz, Joseph E.

Media related to Information economics at Wikimedia Commons