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dc.contributor.author
Aryal, Gaurab  
dc.contributor.author
Gabrielli, Maria Florencia  
dc.date.available
2021-08-11T13:04:26Z  
dc.date.issued
2019-11  
dc.identifier.citation
Aryal, Gaurab; Gabrielli, Maria Florencia; An empirical analysis of competitive nonlinear pricing; Elsevier; International Journal of Industrial Organization; 68; 11-2019; 1-21  
dc.identifier.issn
0167-7187  
dc.identifier.uri
http://hdl.handle.net/11336/138141  
dc.description.abstract
We estimate a model of competitive nonlinear pricing with multidimensional preference heterogeneity using individual level data on advertisements bought by local businesses (e.g., doctors, electricians) from two Yellow Page Directories in one U.S. city-market. Variation in individual choices and payments allows us to identify the joint density of preferences, marginal costs of publishing and common utility parameters. Our estimates suggest substantial welfare loss due to asymmetric information. Comparing duopoly outcomes with (counterfactual) monopoly outcomes, we find that with less competition (i) producer surplus increases substantially; (ii) more “low-type” consumers are excluded; (iii) product variety increases, but benefits accrue only to the “high-type” consumers; (iv) total consumer surplus decreases; (v) but its distribution, across consumers, does not change.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
ASYMMETRIC INFORMATION  
dc.subject
COMPETITIVE NONLINEAR PRICING  
dc.subject
MULTIDIMENSIONAL HETEROGENEITY  
dc.subject.classification
Organización Industrial  
dc.subject.classification
Economía y Negocios  
dc.subject.classification
CIENCIAS SOCIALES  
dc.title
An empirical analysis of competitive nonlinear pricing  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-07-30T18:29:10Z  
dc.journal.volume
68  
dc.journal.pagination
1-21  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Philadelphia  
dc.description.fil
Fil: Aryal, Gaurab. University of Virginia; Estados Unidos  
dc.description.fil
Fil: Gabrielli, Maria Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Nacional de Cuyo; Argentina  
dc.journal.title
International Journal of Industrial Organization  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0167718719300669  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ijindorg.2019.102538