On the Measurement of Inequality

Increasing risk: I. A definition

Abstract: This paper attempts to answer the question: When is a random variable Y “more variable” than another random variable X?

The Dimensions of Residential Segregation

Abstract: This paper conceives of residential segregation as a multidimensional phenomenon varying along 5 distinct axes of measurement: evenness exposure concentration centralization and clustering. 20 indices of segregation are surveyed and related conceptually to 1 of the 5 dimensions. Using data from a large set of US metropolitan areas the indices are intercorrelated and factor analyzed. Orthogonal and oblique rotations produce pattern matrices consistent with the postulated dimensional structure. Based on the factor analyses and other information 1 index was chosen to represent each of the 5 dimensions and these selections were confirmed with a principal components analysis. The paper recommends adopting these indices as standard indicators in future studies of segregation. (authors)

The Dual Theory of Choice under Risk.

Abstract: IN THIS ESSAY, a new theory of choice under risk is being proposed. It is a theory which, in a sense that will become clear, is dual to expected utility theory, hence the title "dual theory." Risky prospects are evaluated in this theory by a cardinal numerical scale which resembles an expected utility, except that the roles of payments and probabilities are reversed. This theme-the reversal of the roles of probabilities and payments-will recur throughout the paper. I should emphasize that playing games, with probabilities masquerading as payments and payments masquerading as probabilities, is not my object. Rather, I hope to convince the reader that the dual theory has intrinsic economic significance and that, in some areas, its predictions are superior to those of expected utility theory (while in other areas the reverse will be the case). Two reasons have prompted me to look for an alternative to expected utility theory. The first reason is methodological: In expected utility theory, the agent's attitude towards risk and the agent's attitude towards wealth are forever bonded together. At the level of fundamental principles, risk aversion and diminishing marginal utility of wealth, which are synonymous under expected utility theory, are horses of different colors. The former expresses an attitute towards risk (increased uncertainty hurts) while the latter expresses an attitude towards wealth (the loss of a sheep hurts more when the agent is poor than when the agent is rich). A question arises, therefore, as to whether these two notions can be kept separate from each other in a full-fledged theory of cardinal utility. The dual theory will have this property. The second reason that leads me to look for an alternative to expected utility theory is empirical: Behavior patterns which are systematic, yet inconsistent with expected utility theory, have often been observed. (Two prominent references, among many others, are Allais (1953) and Kahneman-Tversky (1979).) So deeply

Mostly harmless econometrics

Abstract: The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science. An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications

Risk Aversion in the Small and in the Large

Abstract: This paper concerns utility functions for money. A measure of risk aversion in the small, the risk premium or insurance premium for an arbitrary risk, and a natural concept of decreasing risk aversion are discussed and related to one another. Risks are also considered as a proportion of total assets.

The Measurement of the Inequality of Incomes

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The Efficiency Analysis of Choices Involving Risk

Abstract: Publisher Summary The choice of an individual decision maker among alternative risky ventures may be regarded as a two-step procedure. The decision maker chooses an efficient set among all available portfolios, independently of his tastes or preferences. Then, the decision maker applies individual preferences to this set to choose the desired portfolio. The subject of this chapter is the analysis of the first step. It deals with optimal selection rules that minimize the efficient set by discarding any portfolio that is inefficient in the sense that it is inferior to a member of the efficient set, from point of view of each and every individual, when all individuals' utility functions are assumed to be of a given general class of admissible functions. The analysis presented in the chapter is carried out in terms of a single dimension such as money, both for the utility functions and for the probability distributions. However, the results may easily be extended, with minor changes in the theorems and the proofs, to the multivariate case. The chapter explains a necessary and sufficient condition for efficiency, when no further restrictions are imposed on the utility functions. It presents proofs of the optimal efficiency criterion in the presence of general risk aversion, that is, for concave utility functions.