Separability, partial demand systems, and consumer's surplus measures (original) (raw)
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Approach to Estimating Demand and Welfare ⇤
The measurement of price changes, economic welfare, and demand parameters is currently based on three disjoint approaches: macroeconomic models derived from time-invariant utility functions, microeconomic estimation based on time-varying utility (demand) systems, and actual price and real output data constructed using formulas that dier from either approach. The inconsistencies are so deep that the same assumptions that form the foundation of demand-system estimation can be used to prove that standard price indexes are incorrect, and the assumptions underlying standard exact and superlative price indexes invalidate demand-system estimation. In other words, we show that extant micro and macro welfare estimates are biased and inconsistent with each other as well as the data. We develop a unied approach to demand and price measurement that exactly rationalizes observed micro data on prices and expenditure shares while permitting exact aggregation and meaningful macro comparisons of welfare over time. We show that all standard price indexes are special cases of our approach for particular values of the elasticity of substitution, constant demand for each good, and a constant set of goods. In contrast to these standard index numbers, our approach allows us to compute changes in the cost of living that take into account both changes in the demand for individual goods and the entry and exit of goods over time. Using barcode data for the U.S. consumer goods industry, we show that allowing for the entry and exit of products, changing demand for individual goods, and a value for the elasticity of substitution estimated from the data yields substantially dierent conclusions for changes in the cost of living from standard index numbers.
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We introduce an easily implemented and flexible calibration technique for partial demand systems, combining recent developments in incomplete demand systems and a set of restrictions conditioned on the available elasticity estimates. The technique accommodates various degrees of knowledge on cross-price elasticities, satisfies curvature restrictions, and allows the recovery of an exact welfare measure for policy analysis. The technique is illustrated with a partial demand system for food consumption in Korea for different states of knowledge on cross-price effects. The consumer welfare impact of food and agricultural trade liberalization is measured.
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The most widespread measure of individual welfare is consumer surplus (cs). If consumer surplus is to represent underlying preferences, very restrictive assumptions must be imposed and, worse, the resulting measures completely ignore distributional issues. Applied economists often argue that consumer surplus is a good approximation to the theoretically correct measures and the only feasible choice in practice. This is no longer true; recent advances in estimation techniques have made it possible to determine the approximate values of the correct measures quite satisfactorily. The theory and estimation of social welfare measures automatically involves ethical and distributional judgements. Often, these are difficult to incorporate in intuitive summary indicators that are easy to estimate. A range of money metric measures is presented that provide a more desirable, albeit still problematic alternative. Subject to severe data limitations, the theoretically correct welfare measures can be estimated for a wide range of modelling situations using parametric and nonparametric techniques.