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The present paper introduces a theoretical framework through which the degree of risk aversion with respect uncertain prices can be measured through the context of the indirect utility function (IUF) using a lab experiment. First, the paper introduces the main elements of the duality theory (DT) in economics. Next, it proposes the context of IUFs as a suitable framework for measuring price risk aversion through varying prices as opposed to varying payoffs, which has been common practice in the mainstream of experimental economics. Indeed, the DT in modern microeconomics indicates that the direct utility function (DUF) and the IUF are dual to each other, implicitly suggesting that the degree of risk aversion (or risk seeking) that a given rational subject exhibits in the context of the DUF must be equivalent to the degree of risk aversion (or risk seeking) elicited through the context of the IUF. This paper tests the accuracy of this theoretical prediction through a lab experiment using a series of relevant statistical tests. This study uses the multiple price list (MPL) method, which has been one of the most popular sets of elicitation procedures in experimental economics to study risk preferences in the experimental laboratory using non-interactive settings. The key findings of this study indicate that price risk aversion (PrRA) is statistically significantly greater than payoff risk aversion (PaRA). Additionally, it is shown that the risk preferences elicited under the expected utility theory (EUT) are somewhat subject to context. Other findings imply that the risk premium (RP), as a measure of willingness to pay for insuring an uncertain situation, is statistically significantly greater for stochastic prices compared to that for stochastic payoffs. These results are robust across different MPL designs and various statistical tests that are utilized.

This paper presents a new mixed demand model for measuring the value of public goods in an intertemporal optimization framework. From the specification of an indirect utility function allowing for public goods, direct demand functions for private goods are derived and estimated jointly with the Euler equation for intertemporal consumption behavior, using US data. This allows us to identify the marginal utility of private consumption and to obtain the inverse demand or shadow price of a public good, which is then related to its observed price to assess whether the public good is efficiently provided. There is evidence, though suggestive, that the public good as measured by national defense in the USA has been inefficiently provided over the past decades.

This paper integrates seemingly disjoint studies on consumer behavior in micro and macroanalyses via an intertemporal two-stage budgeting procedure with durable goods and liquidity constraints. The model specifies an indirect utility function as a function of nondurable consumption, commodity (nondurables) prices, and durables stock, and derives the demand functions for nondurable goods. A demand function for durable goods is derived in an adjustment cost framework. The consumption growth equation accounts for relative price effects with precautionary saving, durables stock, and liquidity constraints. The stochastic discount factor is approximated by a time-varying linear function of nondurable consumption growth, commodity price growth, durables stock growth, and disposable income growth. The demand functions for six nondurable goods and services are jointly estimated with the Euler equations for bonds, stocks, and durable goods with allowance for liquidity constraints, using US data. Estimation provides new findings for intertemporal consumption and a multifactor consumption-based capital asset pricing model.

Purpose Over the past 25 years, direct cash transfers (often abbreviated as direct benefit transfer, DBT) to the poorer section of the society are gaining popularity over explicit subsidization of prices of essential commodities. One of the main arguments in favor of DBT is that it will cost the government less money and yet, the consumer benefit will be high. This paper aims to examine the proposition critically. Removal of price support exposes the consumers to market risk, and any income support programme must compensate the consumers accordingly. Design/methodology/approach The authors use a theoretical study where the model of a representative consumer under different specification of preferences is used to compare programme costs under price stabilization and income support programmes. Findings What the authors show in the paper that the comparative cost of the programmes crucially depends on the nature of preferences, as well as the good under question. For certain specifications of the indirect utility function and the marginal utility of money, one programme may cost less than the other. Any policymaker must take account of such nuances before making a blanket prescription. Research limitations/implications The main limitation is that only a representative consumer is taken. Practical implications The specification of indirect utility function plays a decisive role in deciding, which one these two policies, DBT or stabilizing price at a fixed level. Originality/value The main novelty of the paper is in the different specifications of the indirect utility function considered in the paper.

Research on the spatial aspects of economic activity has flourished over the past decade due to the emergence of new theory, new data, and an intense interest on the part of policymakers, especially in Europe but increasingly in North America and elsewhere as well. However, these efforts--collectively known as the \"new economic geography\"--have devoted little attention to the policy implications of the new theory. Economic Geography and Public Policyfills the gap by illustrating many new policy insights economic geography models can offer to the realm of theoretical policy analysis. Focusing primarily on trade policy, tax policy, and regional policy, Richard Baldwin and coauthors show how these models can be used to make sense of real-world situations. The book not only provides much fresh analysis but also synthesizes insights from the existing literature. The authors begin by presenting and analyzing the widest range of new economic geography models to date. From there they proceed to examine previously unaddressed welfare and policy issues including, in separate sections, trade policy (unilateral, reciprocal, and preferential), tax policy (agglomeration with taxes and public goods, tax competition and agglomeration), and regional policy (infrastructure policies and the political economy of regional subsidies). A well-organized, engaging narrative that progresses smoothly from fundamentals to more complex material,Economic Geography and Public Policyis essential reading for graduate students, researchers, and policymakers seeking new approaches to spatial policy issues.

Various stability properties and a result on solution sensitivity of a consumer problem are obtained in this paper. Focusing on some nice features of the budget map, we are able to establish the continuity and the locally Lipschitz continuity of the indirect utility function, as well as the Lipschitz–Hölder continuity of the demand map under a minimal set of assumptions. The recent work of Penot (J Nonlinear Convex Anal 15:1071–1085, 2014 ) is our starting point, while an implicit function theorem of Borwein (J Optim Theory Appl 48:9–52, 1986 ) and a theorem of Yen (Appl Math Optim 31:245–255, 1995 ) on solution sensitivity of parametric variational inequalities are the main tools in our proofs.

Just as we learn from, influence, and are influenced by others, our social interactions drive economic growth in cities, regions, and nations--determining where households live, how children learn, and what cities and firms produce.From Neighborhoods to Nationssynthesizes the recent economics of social interactions for anyone seeking to understand the contributions of this important area. Integrating theory and empirics, Yannis Ioannides explores theoretical and empirical tools that economists use to investigate social interactions, and he shows how a familiarity with these tools is essential for interpreting findings. The book makes work in the economics of social interactions accessible to other social scientists, including sociologists, political scientists, and urban planning and policy researchers. Focusing on individual and household location decisions in the presence of interactions, Ioannides shows how research on cities and neighborhoods can explain communities' composition and spatial form, as well as changes in productivity, industrial specialization, urban expansion, and national growth. The author examines how researchers address the challenge of separating personal, social, and cultural forces from economic ones. Ioannides provides a toolkit for the next generation of inquiry, and he argues that quantifying the impact of social interactions in specific contexts is essential for grasping their scope and use in informing policy. Revealing how empirical work on social interactions enriches our understanding of cities as engines of innovation and economic growth,From Neighborhoods to Nationscarries ramifications throughout the social sciences and beyond.

A class of demand systems based on simple parametric specification of the indirect utility functions, but allowing for the parsimonious imposition of global regularity, is proposed. Demand systems in this class are completely flexible in rank, that is, can be potentially specified to acquire as large a rank as required in empirical work. They also exhibit a clear and reasonable homothetic asymptotic behaviour, as income approaches infinity. In an empirical application using Australian data, several examples from this class are estimated and compared with some popular alternatives in the literature.

This paper focuses on the demand for money in the United States in the context of five popular locally flexible functional forms—the generalized Leontief, the basic translog, the almost ideal demand system, the Minflex Laurent, and the normalized quadratic reciprocal indirect utility function. We pay explicit attention to the theoretical regularity conditions of positivity, monotonicity, and curvature and argue that much of the older empirical literature ignores economic regularity. We treat the curvature property as a maintained hypothesis and provide a comparison in terms of violations of the regularity conditions and in terms of output in the form of a full set of elasticities. We also provide a policy perspective, in that a strong case can be made for abandoning the simple sum approach to monetary aggregation, on the basis of the low elasticities of substitution among the components of the popular M2 aggregate of money.

The aim of this paper is to explore several features concerning the generalized marginal rate of substitution (GMRS)when the consumers utility maximization problem with several constraints is formulated as a quasi-concave programming problem. We show that a point satisfying the first order sufficient conditions for the consumer's problem minimizes the associated quasi-convex reciprocal cost minimization problems. We define the GMRS between endowments and show how it can be computed using the reciprocal expenditure multipliers. Additionally, GMRS is proved to be a rate of change between different proportion bundles of initial endowments. Finally, conditions are provided to guarantee a decreasing GMRS along a curve of initial endowments while keeping the consumer's utility level constant.