Denis Bolduc

Denis Bolduc
Laval University | ULAVAL · Department of Economics

Ph. D.

About

87
Publications
19,241
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3,986
Citations
Citations since 2016
0 Research Items
1358 Citations
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2016201720182019202020212022050100150200
2016201720182019202020212022050100150200
2016201720182019202020212022050100150200

Publications

Publications (87)
Article
Full-text available
In this article we develop, implement and apply a Markov chain Monte Carlo (MCMC) Gibbs sampler for Bayesian estimation of a hybrid choice model (HCM), using stated data on both vehicle purchase decisions and environmental concerns. Our study has two main contributions. The first is the feasibility of the Bayesian estimator we derive. Whereas class...
Chapter
In Japan, demands for broadband Internet access and IP telephony have increased dramatically in recent years. According to official sources, as of September 2009, there are 30.9 million users of broadband Internet access and 20.9 million of IP telephony. This study evaluates and estimates the market share of fiber-optic Internet connection, which i...
Article
In this paper we discuss the specification, covariance structure, estimation, identification, and point-estimate analysis of a logit model with endogenous latent attributes that avoids problems of inconsistency. We show first that the total error term induced by the stochastic latent attributes is heteroskedastic and nonindependent. In addition, we...
Article
We study the dynamic behaviour of household electricity consumption on the basis of four large independent surveys conducted in the province of Québec from 1989 to 2002. The latter region displays some rather unique features such as the very extensive use of electricity for space heating in a cold climate and the wide range of energy sources used t...
Article
In Japan, demands for broadband Internet access and IP telephony have increased dramatically in recent years. According to official sources, as of September 2009, there are 30.9 million users of broadband Internet access and 20.9 million of IP telephony. This study evaluates and estimates the market share of fiber-optic Internet connection, which i...
Article
Several models have been proposed to express customer preference variation. In this paper, we express it not by customer segmentation but by latent class. Not only decision-making factors but also decision-making processes differ according to the class. We propose a service-choice behaviour modelling constructed with multiple decision-making proces...
Article
This paper presents a methodological disaggregated approach to analyze the impact of interventions on road safety. The model aims to describe the accident rates of an individual using mileage as a measure of risk exposure. The model is formulated as a system of equations that takes into account interactions between the mileage of a given individual...
Article
Full-text available
The formulation of hybrid discrete choice models, including both observable alternative attributes and latent variables associated with attitudes and perceptions, has become a topic of discussion once more. To estimate models integrating both kinds of variables, two methods have been proposed: the sequential approach, in which the latent variables...
Article
Full-text available
While transport modelers in developed countries are accustomed to working with relatively rich datasets including transport networks and land use data, such databases are rarely available in developing countries. However, developing countries such as China with its immense rate of economic growth are, arguably, most in need of demand models. The re...
Article
We study the problem of building confidence sets for ratios of parameters, from an identification robust perspective. In particular, we address the simultaneous confidence set estimation of a finite number of ratios. Results apply to a wide class of models suitable for estimation by consistent asymptotically normal procedures. Conventional methods...
Article
In this paper, we develop an econometric model to estimate the impacts of Electronic Vehicle Management Systems (EVMS) on the load factor (LF) of heavy trucks using data at the operational level. This technology is supposed to improve capacity utilization by reducing coordination costs between demand and supply. The model is estimated on a subsampl...
Article
Abstract We develop an econometric model to estimate the impact of Electronic Vehicle Management Systems (EVMS) on the load factor (LF) of heavy trucks. This technology is supposed to improve capacity utilization. The model is estimated on the Quebec subsample of the 1999 National Roadside Survey. The LF is explained as a function of truck, trip, a...
Chapter
Full-text available
This paper introduces a behavioral framework to model residential relocation decision in island areas, at which the decision in question is influenced by the characteristics of island regions, policy variables related to accessibility measures, and housing prices at the proposed island area, as well as personal, household, job, and latent character...
Chapter
The search for flexible models has led the simple multinomial logit model to evolve into the powerful but computationally very demanding mixed multinomial logit (MMNL) model. That flexibility search lead to discrete choice hybrid choice models (HCMs) formulations that explicitly incorporate psychological factors affecting decision making in order t...
Data
Full-text available
This paper introduces a behavioral framework to model residential relocation decision in island areas, at which the decision in question is influenced by the characteristics of island regions, policy variables related to accessibility measures, and housing prices at the proposed island area, as well as personal, household, job, and latent character...
Article
Full-text available
In the current context of global warming, it is more essential than ever to explore environmen-tally sustainable transport solutions to the adverse effects created by personal transportation. Technological innovation and the use of cleaner alternative fuels are among the solutions that have traditionally been proposed to contain – or at least allev...
Article
Full-text available
n the last decade, a new trend in discrete choice modeling has emerged in which psychological factors are explicitly incorporated in order to enhance the behavioural represen- tation of the choice process. In this context, hybrid choice models expand on standard choice models by including attitudes and perceptions as latent (unobserved) variables....
Article
In the presence of choice-based sampling strategies for data collection, the property of multinomial logit (MNL) models, that consistent estimates of all parameters but the constants can be obtained from an exogenous sample maximum likelihood (ESML) estimation, does not hold in general for generalized extreme value (GEV) models. We propose a consis...
Article
In the analysis of energy use models, a common problem consists in correcting for endogenous discrete-choice variables. Indeed, energy demand equations often include endogenous dummies which reflect the underlying discrete-choice for e.g. energy equipment. The latter lead to discrete/continuous (D/C) statistical models where the discrete and contin...
Article
Although the basic structure of logit-mixture models is well understood, important identification and normalization issues often get overlooked. This paper addresses issues related to the identification of parameters in logit-mixture models containing normally distributed error components associated with alternatives or nests of alternatives (norma...
Article
We consider an estimation procedure for discrete choice models in general and Multivariate Extreme Value (MEV) models in particular. It is based on a pseudo-likelihood function, generalizing the Conditional Maximum Likelihood (CML) estimator by Manski and McFadden (1981) and theWeighted Exogenous Sample Maximum Likelihood (WESML) estimator by Mansk...
Article
In Japan, demands for Broadband Internet Access and Internet Telephony have increased dramatically in recent years. According to official sources, as of September 2005, there were 21.4 million users of Broadband Internet Access and 9.76 million IP telephones in use. In this study, we employ a new generation of discrete choice models known as Integr...
Article
Full-text available
In this paper, we extend the standard discrete choice modelling framework by allowing for random variations in the substitution patterns between alternatives across respondents, leading to increased model flexibility. The paper shows how such a Mixed Covariance model can be specified either with purely random variation or with a mixture of random a...
Chapter
The conceptual framework of the hybrid choice model (HCM) possesses many ingredients to enhance the behavioral representation of the choice process and therefore addresses the problem raised. As a direct result, the choice model specification is improved and it gains in predictive power. The application of HCMs have been limited to small scale mode...
Article
We extend choice models where the deterministic part of the utility is subject to a deformation filter that affects how the choice probabilities react to changes in explanatory variables. We focus on extending the multinomial logit. Other generalizations are considered.
Article
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The primary aim of the paper is to place current methodological discussions in macroeconometric modeling contrasting the ‘theory first’ versus the ‘data first’ perspectives in the context of a broader methodological framework with a view to constructively appraise them. In particular, the paper focuses on Colander’s argument in his paper “Economist...
Article
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A discrete/continuous choice model is used to analyze the ownership of private motor vehicles and their use in Quebec. The estimation of the discrete choice model is based on the Mixed Logit specification and each of the 224 different vehicle models appears as specific element of the choice set. A generalization of Heckman's correction term is inco...
Article
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In this paper, we applied the generalized mixed estimation approach to the problem of estimating the Quebec residential electricity demand for space and water heating. A multinomial discrete-continuous choice model is used and estimated in two stages. The discrete choice is modelled as a multinomial probit model, while the continuous choice is esti...
Article
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Logit Kernel is a discrete choice model that has an i.i.d. extreme value (or Gumbel) additive disturbance à la multinomial logit as well as a flexible disturbance, which could be normal, additive, or otherwise. The result is an intuitive, practical, and powerful model that combines the flexibility of probit (and more) with the tractability of logit...
Article
Full-text available
Résumé Dans ce travail, nous suggérons l’utilisation de l’échantillonnage de Gibbs combiné à l’augmentation des données pour estimer des modèles à données longitudinales incomplètes, qui dans le cas extrême où l’échantillon est composé de coupes transversales indépendantes, correspond au cas de modèle de type pseudo-panel. Cette idée peut être appl...
Article
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We discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation. Such approaches incorporate several elements of cognitive process that have been identified as important to the choice process, including strong dependence on history and context, perception formation, and latent constraints....
Article
This paper provides evidence that workers' compensation insurance (WC) affects not only the occurrence but also the composition of reported injuries. In our theoretical approach, WC is the source of two interrelated moral hazard problems: underprovision of accident-preventing efforts by the insured worker (ex ante moral hazard) and false reporting...
Article
The capital costs of natural gas distribution pipelines account for 70% of the rate base of SCGM, the main local distribution utility in the province of Québec. In allocating these capital costs to consumer groups, the regulatory process divides them into an access fee which is supposed to represent the costs of making available natural gas, and a...
Article
Full-text available
Logit kernel is a discrete choice model that has both probit-like disturbances as well as an additive i.i.d. extreme value (or Gumbel) disturbance à la multinomial logit. The result is an intuitive, practical, and powerful model that combines the flexibility of probit with the tractability of logit. For this reason, logit kernel has been deemed the...
Article
Full-text available
We review the case against the standard model of rational behavior and discuss the consequences of various anomalies of preference elicitation. A general theoretical framework that attempts to disentangle the various psychological elements in the decision-making process is presented. We then present a rigorous and general methodology to model the t...
Article
This paper considers theoretical and practical aspects associated with the two-step estimation of discrete/continuous econometric models when the choice dimension concerns interdependent choices. A two-step procedure is favoured over a full-information one to avoid the specification errors that could arise from misspecifying the joint distribution...
Article
The Multinomial Probit (MNP) formulation provides a very general framework to allow for interdependent alternatives in discrete choice analysis. Up until recently, its use was rather limited, mainly because of the computational difficulties associated with the evaluation of the choice probabilities which are multidimensional normal integrals. In re...
Article
Full-text available
The detection of dangerous road sites is usually performed using empirical methods which focus on observed accident frequencies and/or proportions of accidents with a given feature. The most widely used detection tools have an empirical Bayes (EB) background. The EB approaches rely on the comparison of frequencies and/or proportions of accidents at...
Article
Full-text available
The detection of dangerous road sites is usually performed using empirical methods which focus on observed accident frequencies and/or proportions of accidents with a given feature. The most widely used detection tools have an empirical Bayes (EB) background. The EB approaches rely on the comparison of frequencies and/or proportions of accidents at...
Article
Full-text available
Investment expenditures in natural gas distribution pipelines account for 70% of the rate base of Soci�t� en Commandite Gaz M�tropolitain (SCGM), the natural gas utility which serves most customers in the province of Qu�bec. In allocating these costs to rate payers, the regulatory process divides costs into an access fee which reflects the fixed co...
Article
Full-text available
This paper introduces new forms, sampling and estimation approaches fordiscrete choice models. The new models include behavioral specifications oflatent class choice models, multinomial probit, hybrid logit, andnon-parametric methods. Recent contributions also include new specializedchoice based sample designs that permit greater efficiency in data...
Article
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This paper considers the problem of estimating a nonlinear statistical model subject to stochastic linear constraints among unknown parameters. These constraints represent prior information which originates from a previous estimation of the same model using an alternative database. One feature of this specification allows for the disign matrix of s...
Article
Full-text available
RÉSUMÉ Dans le présent article, nous décrivons une méthodologie générale à information complète pour analyser la dangerosité des sites routiers. La technique proposée, de type bayésienne, permet de traiter simultanément les problèmes d’hétérogénéité déterministe et aléatoire ainsi que celui de la corrélation spatiale attribuable à la proximité ou l...
Article
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This paper estimates mortality and fertility rates prevailing in Ireland during the 25-year period before the Great Irish Famine of 1845-1849. A technique is developed to estimate the age-specific mortality level during the Famine and the number of Famine-related deaths. The paper concludes that fertility rates were declining during the period 1821...
Article
In this paper we estimate three different discrete choice models of provider choice using data from the rural District of Ouidah in Bénin. These three model are: Multinomial Logit (ML); (2) Independent Multinomial Probit (IMP); (3) Multinomial Probit (MP). A comparison of IMP and MP allows us to reject the independence assumption between providers....
Article
In this article, the authors estimate a spatial autoregressive multinomial probit model of the choice of location by general practitioners for establishing their initial practice. This model allows them to account for potential interdependencies among location choices. The model is used to assess the effect of various incentive measures introduced...
Article
In this paper we use a micro approach to model Quebec residential demand for electricity. The model incorporates a joint continuous/discrete decision framework which allows for interrelationships between decisions on electricity-related durable holdings and those on usage. In the spirit of recent studies, which used a continuous/discrete framework,...
Article
Full-text available
The idea of transferability is to employ in model estimation, fitted model parameters computed from a different data set. Thecombined estimator approach to the transferability problem is expressed as a linear combination of the unbiased direct estimators on the two data sets. The major gain is in variance reduction. The combined estimator is shown...
Article
The paper compares the empirical performance of two recently suggested techniques for estimating Multinomial Probit (MNP) models. The application concerns the choice of the first practice location of general practitioners in Quebec (Canada). Regional similarities are accounted for by modeling interdependent choice decisions. One technique is a simu...
Article
Full-text available
In this paper, we describe a general full information Bayesian methodology to analyze road accident sites. The technique allows for the presence of deterministic and random heterogeneity together with spatial autocorrelation among neighboring sites. The suggested framework contains as subcases the Bayesian approaches currently used to study acciden...
Article
In recent years, major advances have taken place in three areas of random utility modeling: (1) semiparametric estimation, (2) computational methods for multinomial probit models, and (3) computational methods for Bayesian estimation. This paper summarizes these developments and discusses their implications for practice.
Article
In this chapter we use empirical examples to demonstrate the usefulness of the generalized error component framework suggested in Bolduc et al. (1992) for dealing with the problem of correlation among the errors of a regression based on travel flow data. This methodology augments Standard error component decompositions with first-order spatial auto...
Article
Full-text available
RÉSUMÉ Dans cette étude, nous proposons une généralisation de la formulation à composantes d’erreurs qui permet de représenter différents effets explicatifs de la présence de corrélation dans les erreurs de modèles de régression avec données de flux. Selon la formulation proposée, le terme d’erreur se décompose en une somme d’une erreur relative à...
Article
Full-text available
Hydro-Quebec has postponed indefinitely the inception of the Great Whale Project due in part to forecasts of reduced long run growth in electricity demand. Forecasts of lower growth are common in both the US and Canada and are based largely on the effects of the recent recession and the growing importance of energy saving programs. However, when th...
Article
Corruption in the public sector erodes tax compliance and leads to higher tax evasion. Moreover, corrupt public officials abuse their public power to extort bribes from the private agents. In both types of interaction with the public sector, the private agents are bound to face uncertainty with respect to their disposable incomes. To analyse effect...
Article
In discrete choice analysis, the multinational probit (MNP) provides the most flexible framework to allow for general interdependencies among the alternatives. These interdependencies are usually modeled through the correlation structure of the error term. This framework suffers from two serious impediments, however. The first and major one is comp...
Article
In this study, we propose a generalization of the error components formulation to model the correlation among the errors of a regression based on travel flow data. The error term is broken down into a sum of one component related to the origin zones, one component related to the destination zones and a remainder. The inter-dependences among the err...
Article
Full-text available
RÉSUMÉ Parce qu’il admet des structures très générales d’interdépendance entre les modalités, le probit polytomique (MNP) fournit une des formes les plus intéressantes pour modéliser les choix discrets qui découlent d’une maximisation d’utilité aléatoire. L’obstacle majeur et bien connu dans l’estimation de ce type de modèle tient à la complexité q...
Article
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We wish to thank Claude Montmarquette, Guy Lacroix and an anonymous referee for very helpful comments. Research support from Social Sciences and Humanities Research Council of Canada and Quebec's FCAR grants are aknowledged.
Article
In this study, we use a first-order spatial autoregressive formulation to model the correlation among the errors of a linear demand equation that explains origin-destination flows. The process splits the error term for each observation into a weighted sum of all the other errors and a purely random noise. The weights are new parametric functional f...
Article
We derive a general ordinal probit model by specifying the break points or bounds as random functions of explanatory variables. The proposed technique makes it possible to reduce classification errors caused by imperfections in the data collection process. The standard model with constant break points or bounds is expressed as a special case of the...