2,470 research outputs found

    Evaluating Welfare with Nonlinear Prices

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    This paper examines how to evaluate consumer welfare when consumers face nonlinear prices. This problem arises in many settings, such as devising optimal pricing strategies for firms, assessing how price discrimination affects consumers, and evaluating the efficiency costs of many transfer programs in the public sector. We extend prior methods to accommodate a broad range of modern pricing practices, including menus of pricing plans. This analysis yields a simpler and more general technique for evaluating exact consumer surplus changes in settings where consumers face nonlinear prices. We illustrate our method using recent changes in mobile phone service plans.

    Cost-Reducing and Demand-Creating R&D With Spillovers

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    This paper analyzes R&D policies when the returns to cost-reducing and demand-creating R&D are imperfectly appropriable and market structure is endogenous. Previous characterizations of appropriability are generalized to permit the possibility that own and rival R&D are imperfect substitutes. We also describe how. equilibrium expenditures on process and product R&D, as well as equilibrium market structure, depend on technological opportunities and spillovers. In contrast to previous work, diminished appropriability does not necessarily reduce R&D expenditures. For example, under some conditions, an increase in the extent of process (product) spillovers will lead to an increase in product (process) R&D. We estimate several variants of the model using manufacturing line of business data and data from a survey of R&D executives.

    Demand and Pricing in Electricity Markets: Evidence from San Diego During California's Energy Crisis

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    We study the electricity consumption of San Diego-area households following a series of price changes and related events during California's energy crisis in 2000-01. The analysis uses a five-year panel of disaggregate billing and weather data for a random sample of 70,000 households. In contrast to prior work, these data allow us to proceed without behavioral assumptions regarding a consumer's knowledge of energy prices. We find that after a rapid price increase in summer 2000, consumption fell substantially over about 60 days, averaging 12% per household; consumption then rebounded to within 3% of pre-crisis levels after a price cap was imposed. Under the price cap public appeals for energy conservation and a remunerative voluntary conservation program had significant, but transitory, effects. Further, a large share of households reduced electricity consumption substantially (over 10%) but saved small monetary amounts ($10 or less). Overall, the results indicate consumers may be far more responsive to pecuniary and non-pecuniary incentives for altering their energy use than is commonly believed.

    Household Electricity Demand, Revisited

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    Recent efforts to restructure and partially deregulate electricity markets have renewed interest in understanding how consumers respond to price changes. Several interrelated problems complicate demand analyses of these markets, including nonlinear pricing, heterogeneity in households' price sensitivities, and data aggregation. This paper formulates a model of household electricity demand that addresses these difficulties. We estimate the model using data for a representative sample of California households, and summarize how electricity demand elasticities vary in that state. We then use the model to analyze the electricity consumption and expenditure effects of recent tariff structure changes in California.

    Transaction Costs in Dealer Markets: Evidence From The London Stock Exchange

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    This paper describes regularities in the intraday spreads and prices quoted by dealers on the London Stock Exchange. It develops a measure of spread-related transaction costs, one that recognizes dealers' willingness to price trades within their quoted spreads. This measure of transaction costs shows that trading costs are systematically related to a trade's size, characteristics of the trading counterparties, and security characteristics. Customers pay the full spread on small trades while medium to large trades receive more favorable execution. Market makers only discount very large customer trades while dealers regularly discount medium to large trades. Inter-dealer trades generally receive favorable execution, and discounts increase in size. Market makers do not discount trades with each other over the phone, but do discount when trading anonymously using inter-dealer-brokers. Quoted and touch spreads are falling in the number of market makers. The rate of decline is interpreted as reflecting economies of scale in market making.

    Do Entry Conditions Vary across Markets?

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    macroeconomics, entry conditions

    Testing for Serial Correlation and Unit Roots Using a Computer Function Routine Based on ERA\u27s

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    This paper initiates a research program to provide computer function routines that can be used to deliver critical values or signiļ¬cance levels for statistical tests. These routines are easily integrated into existing econometric software and can be made available on a user call basis. The mathematical formulae underlying these approximants belong to the family of extended rational approximants (ERAā€™s) introduced in [15]. The ļ¬rst part of this paper extends the algebraic theory of ERAā€™s to distribution function approximation. Composite functional approximants are also developed to treat the parameter multidimensionally that is common in practical application. The second part of the paper reports a detailed application of the approach to the distribution of the serial correlation coeļ¬€icient under spherical Gaussian errors. The formulae we extract are error-corrected Edgeworth approximants that yield at least three decimal place accuracy over the entire distribution for all sample sizes ( T \u3e 4). These approximants can be used to mount a variety of tests, including tests for serial correlation and unit roots. Further extension of this work to higher order serial correlation coeļ¬€icients that are used in the Box-Jenkins model identiļ¬cation process are discussed in the conclusion
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