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EDWEL SIGNED

Empirical Demand and Welfare Analysis

Total Cost €

0

EC-Contrib. €

0

Partnership

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 EDWEL project word cloud

Explore the words cloud of the EDWEL project. It provides you a very rough idea of what is the project "EDWEL" about.

central    quality    formulation    academic    previously    merger    preference    researched    preferences    undertakings    underlying    random    situations    impacts    nonparametric    discrete    rely    interval    restrictive    substantial    channels    indices    viewers    extreme    stata    income    measurement    policy    situation    regarding    endogeneity    unexplored    micro    economic    damage    quasilinear    underlies    hikes    ordered    policies    valued    utilities    readily    multinomial    purchase    academia    durable    evaluations    codes    driving    complemented    price    unsubstantiated    industrial    fundamental    exclusive    tax    regulation    estimates    college    setting    peers    overcome    theoretical    tv    alternatives    models    ubiquity    fare    contributions    reporting    settings    data    software    tuition    coefficient    cover    incorrect    assumptions    calculations    calculation    potentially    subsidies    errors    evaluation    practitioners    empirical    emphasis    life    entrants    welfare    environmental    passengers    dynamic   

Project "EDWEL" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE 

Organization address
address: TRINITY LANE THE OLD SCHOOLS
city: CAMBRIDGE
postcode: CB2 1TN
website: www.cam.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website https://sites.google.com/site/debobhatta/erc-grant-edwel
 Total cost 1˙426˙418 €
 EC max contribution 1˙426˙418 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) coordinator 1˙426˙418.00

Map

 Project objective

Measurement of consumer welfare is central to economic evaluations. It underlies calculation of price-indices, formulation of tax policies, and environmental and industrial regulation. But existing measurement methods rely on restrictive assumptions about consumer preferences, leading to potentially incorrect conclusions regarding policy-impacts. The proposed project aims to make fundamental contributions to empirical welfare analysis by developing nonparametric approaches, which would avoid such assumptions and thus produce reliable welfare estimates from micro-data. The emphasis will be on welfare-evaluation of price/quality changes in the under-researched but common real-life setting of discrete-choice, e.g., the impact of tuition subsidies for college entrants, fare-hikes for passengers and access to new channels for TV viewers. The project will cover (i) discrete choice with multinomial/ordered/non-exclusive alternatives, (ii) random coefficient choice-models, (iii) settings where one’s choice affects one’s peers’ utilities, and (iv) dynamic choice under uncertainty such as durable-purchase. Welfare analyses in situations (ii)-(iv) are previously unexplored problems and represent ambitious undertakings. Situation (i) has been analyzed only under strong, unsubstantiated assumptions, like quasilinear preferences and extreme valued errors. The key insight driving the project is that welfare calculations require less information than what is needed to identify underlying preference parameters. The project will also develop methods to overcome common data problems like interval-reporting and endogeneity of income. The theoretical results will be complemented by software codes in Stata/R which can be readily used by practitioners. Given the ubiquity of welfare analysis in economic applications and its use in non-academic settings such as merger-analysis, damage calculations, etc., the project is likely to have a substantial impact both in and beyond the academia.

 Publications

year authors and title journal last update
List of publications.
2019 Debopam Bhattacharya, University of Cambridge Pascaline Dupas, Stanford University Shin Kanaya, University of Aarhus
Demand and Welfare Analysis in Discrete Choice Models with Social Interactions
published pages: , ISSN: , DOI:
Working paper 2020-03-06
2019 Debopam Bhattacharya, University of Cambridge Anders Kjelsrud, University of Oslo Rohini Somanathan, Delhi School of Economics
Estimating the welfare gains from public schools in rural India
published pages: , ISSN: , DOI:
Working Paper 2020-03-06
2019 Ying-Ying Lee, Debopam Bhattacharya
Applied welfare analysis for discrete choice with interval-data on income
published pages: 361-387, ISSN: 0304-4076, DOI: 10.1016/j.jeconom.2019.02.007
Journal of Econometrics 211/2 2020-01-22
2018 Debopam Bhattacharya
Empirical welfare analysis for discrete choice: Some general results
published pages: 571-615, ISSN: 1759-7323, DOI: 10.3982/qe931
Quantitative Economics 9/2 2020-01-22

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