Nonparametric Welfare Analysis for Discrete Choice

Nonparametric Welfare Analysis for Discrete Choice PDF Author: Debopam Bhattacharya
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ISBN:
Category :
Languages : en
Pages : 32

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Book Description
We consider empirical measurement of equivalent/compensating variation resulting from price-change of a discrete good using individual-level data, when there is unobserved heterogeneity in preferences. We show that for binary and unordered multinomial choice, the marginal distributions of EV/CV can be expressed as simple closed-form functionals of conditional choice-probabilities under essentially unrestricted preference-distributions. These results hold even when the distribution/dimension of unobserved heterogeneity are neither known nor identified and utilities are neither quasi-linear nor parametrically specified. The welfare distributions take simple forms which are easy to compute in applications. In particular, average EV for a price-rise equals the change in average Marshallian consumer-surplus and is smaller than average CV for a normal good. These nonparametric point-identification results fail for ordered choice if the unit-price is identical for all alternatives, thereby providing a connection to Hausman-Newey's (2014) partial identification results for the limiting case of continuous choice.

Nonparametric Welfare Analysis for Discrete Choice

Nonparametric Welfare Analysis for Discrete Choice PDF Author: Debopam Bhattacharya
Publisher:
ISBN:
Category :
Languages : en
Pages : 32

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Book Description
We consider empirical measurement of equivalent/compensating variation resulting from price-change of a discrete good using individual-level data, when there is unobserved heterogeneity in preferences. We show that for binary and unordered multinomial choice, the marginal distributions of EV/CV can be expressed as simple closed-form functionals of conditional choice-probabilities under essentially unrestricted preference-distributions. These results hold even when the distribution/dimension of unobserved heterogeneity are neither known nor identified and utilities are neither quasi-linear nor parametrically specified. The welfare distributions take simple forms which are easy to compute in applications. In particular, average EV for a price-rise equals the change in average Marshallian consumer-surplus and is smaller than average CV for a normal good. These nonparametric point-identification results fail for ordered choice if the unit-price is identical for all alternatives, thereby providing a connection to Hausman-Newey's (2014) partial identification results for the limiting case of continuous choice.

Nonparametric Welfare Analysis for Discrete Choice

Nonparametric Welfare Analysis for Discrete Choice PDF Author: Bart Capéau
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ISBN:
Category :
Languages : en
Pages :

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Empirical Welfare Analysis for Discrete Choice

Empirical Welfare Analysis for Discrete Choice PDF Author: Debopam Bhattacharya
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ISBN:
Category :
Languages : en
Pages : 0

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This paper develops nonparametric methods for welfare-analysis of economic changes in the common setting of multinomial choice. The results cover (a) simultaneous price-change of multiple alternatives, (b) introduction/elimination of an option, (c) changes in choice-characteristics, and (d) choice among non-exclusive alternatives. In these cases, Marshallian consumer surplus becomes path-dependent, but Hicksian welfare remains well-defined. We demonstrate that under completely unrestricted preference-heterogeneity and income-effects, the distributions of Hicksian welfare are point-identified from structural choice-probabilities in scenarios (a), (b), and only set-identified in (c), (d). Weak-separability restores point-identification in (c). In program-evaluation contexts, our results enable the calculation of compensated-effects, i.e. the program's cash-equivalent and resulting deadweight-loss. They also facilitate theoretically justified cost- benefit comparison of interventions targeting different outcomes, e.g. a tuition-subsidy and a health-product subsidy. Welfare-analyses under endogeneity is briefly discussed. An application to data on choice of fishing-mode illustrates the methods.

Welfare Analysis with Discrete Choice Models

Welfare Analysis with Discrete Choice Models PDF Author: W. Michael Hanemann
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ISBN:
Category :
Languages : en
Pages : 45

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Nonparametric Welfare Analysis in Stochastic Models of Binary Choice

Nonparametric Welfare Analysis in Stochastic Models of Binary Choice PDF Author: Debopam Bhattacharya
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Category :
Languages : en
Pages :

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Welfare Analysis in Discrete Choice Models

Welfare Analysis in Discrete Choice Models PDF Author: Min Qiang (Kent) Zhao
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Category :
Languages : en
Pages : 346

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Applied Welfare Analysis for Discrete Choice with Interval-data on Income

Applied Welfare Analysis for Discrete Choice with Interval-data on Income PDF Author: Ying-Ying Lee
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ISBN:
Category :
Languages : en
Pages :

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Aggregation and Welfare Analysis with Mixed Continuous

Aggregation and Welfare Analysis with Mixed Continuous PDF Author: Murat Genç
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ISBN:
Category : Consumer behavior
Languages : en
Pages : 91

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Demand and Welfare Analysis in Discrete Choice Models Under Social Interactions

Demand and Welfare Analysis in Discrete Choice Models Under Social Interactions PDF Author: Debopam Bhattacharya
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ISBN:
Category :
Languages : en
Pages :

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Demand and Welfare Analysis in Discrete Choice Models with Social Interactions

Demand and Welfare Analysis in Discrete Choice Models with Social Interactions PDF Author: Debopam Bhattacharya
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ISBN:
Category : Consumers
Languages : en
Pages : 55

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Book Description
Many real-life settings of consumer choice involve social interactions, causing targeted policies to have spillover effects. This paper develops novel empirical tools for analyzing demand and welfare effects of policy interventions in binary choice settings with social interactions. Examples include subsidies for health product adoption and vouchers for attending a high-achieving school. We establish the connection between econometrics of large games and Brock-Durlauf-type interaction models, under both I.I.D. and spatially correlated unobservables. We develop new convergence results for associated beliefs and estimates of preference parameters under increasing domain spatial asymptotics. Next, we show that even with fully parametric specifications and unique equilibrium, choice data, that are sufficient for counterfactual demand prediction under interactions, are insufficient for welfare calculations. This is because distinct underlying mechanisms producing the same interaction coefficient can imply different welfare effects and deadweight-loss from a policy intervention. Standard index-restrictions imply distribution-free bounds on welfare. We illustrate our results using experimental data on mosquito-net adoption in rural Kenya.