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Edwel - People

Principal Investigator:
Dr Debopam Bhattacharya

Edwel - Details

Title: Edwel


Description: 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

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Econometrics Research Group

Kaspar Wuthrich (TBA)
(UC San Diego)
Wednesday 9th October 2019 2:00pm
Keynes Room,
Ryo Okui
(Seoul National University)
Wednesday 16th October 2019 2:00pm
Keynes Room,

Recent Publications

Onatski, A. and Wang, C. Alternative Asymptotics for Cointegration Tests in Large VARs Econometrica [2018]

Jochmans, K., and Weidner, M. Fixed-Effect Regressions on Network Data Econometrica, forthcoming [2019]

Selected CWPE


Income Effects and Rationalizability in Multinomial Choice Models, Bhattacharya, D.


Dynamic Tobit models, Harvey, A., Liao, Y.


Nonparametric Predictive Regressions for Stock Return Prediction, Cheng, T., Gao, J., Linton, O.