Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sengupta, Debarun; Mukherjee, Deep; Saha, Sarani Title A name given to the resource Are Indians Willing to Pay for Air Quality? Findings from a Contingent Valuation Study Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Journal of Quantitative Economics; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s40953-026-00509-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s40953-026-00509-6</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037748613?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037748613?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sengupta D., Department of Economics, Christ University, Bengaluru, India; Mukherjee D., School of Economics and Public Policy, RV University, Bengaluru, India; Saha S., Department of Economic Sciences, Indian Institute of Technology Kanpur, Kanpur, India Description An account of the resource This paper aims to study individual preferences towards ambient air quality improvements in India, through the willingness to pay (WTP) measure. Contingent valuation method is employed to elicit individual WTP for air quality improvements via closed-end double bound questioning technique. Bivariate probit model is estimated based on the data coming from 539 in-person interviews to find key determinants of WTP. Estimation results suggest that place of residence, education, consciousness regarding air pollution, and household income are the key determinants of individual WTP for air quality improvements. Random probit model estimated based on the same data finds the presence of shifting and anchoring anomalies, leading towards bias in the mean WTP estimation from the Bivariate probit model. After correcting those anomalies, the estimated mean WTP is ?255.69 (or $3.09) per month. This is the first study estimating the bias-corrected WTP for air quality enhancements, covering a vast region of India. The Author(s), under exclusive licence to The Indian Econometric Society 2026. Subject The topic of the resource Ambient air pollution; Anchoring effect; Closed-end Double-bound; Contingent valuation; India; Probit; Shifting effect Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 9711554; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online