EconPapers    
Economics at your fingertips  
 

Estimation of Logit and Probit models using best, worst and best-worst choices

Paolo Delle Site, Karim Kilani, Valerio Gatta, Edoardo Marcucci () and André de Palma ()
Additional contact information
Paolo Delle Site: UNICUSANO - University Niccolò Cusano = Università Niccoló Cusano
Karim Kilani: LIRSA - Laboratoire interdisciplinaire de recherche en sciences de l'action - CNAM - Conservatoire National des Arts et Métiers [CNAM]
Valerio Gatta: ROMA TRE - Università degli Studi Roma Tre = Roma Tre University
Edoardo Marcucci: Molde University College - Molde University College

Working Papers from HAL

Abstract: The paper considers models for best, worst and best-worst choice probabilities, that use a single common set of random utilities. Choice probabilities are derived for two distributions of the random terms: i.i.d. extreme value, i.e. Logit, and multivariate normal, i.e. Probit. In Logit, best, worst and best-worst choice probabilities have a closed form. In Probit, worst choice probabilities are simply obtained from best choice probabilities by changing the sign of the systematic utilities. Strict log-concavity of the likelihood, with respect to the coefficients of the systematic utilities, holds, under a mild necessary and sufficient condition of absence of perfect multicollinearity in the matrix of alternative and individual characteristics, for best, worst and best-worst choice probabilities in Logit, and for best and worst choice probabilities in Probit. The assumption of substitutability between best and worst choices is tested with data on mode choice, collected for the assessment of user responses to urban congestion charging policies. The numerical results suggest significantly different preferences between best and worst choices, even accounting for scale differences, in both Logit and Probit models. Worst choice data exhibit coefficient attenuation, less pronounced in Probit than in Logit, and higher mean values of travel time savings with larger confidence intervals.

Keywords: Probit; Congestion charge; Strict log-concavity; Logit; Random utility model; Best-worst choices (search for similar items in EconPapers)
Date: 2018-12-13
New Economics Papers: this item is included in nep-dcm, nep-tre and nep-upt
Note: View the original document on HAL open archive server: https://hal.science/hal-01953581
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://hal.science/hal-01953581/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-01953581

Access Statistics for this paper

More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-03-19
Handle: RePEc:hal:wpaper:hal-01953581