IDEAS home Printed from https://ideas.repec.org/e/c/pbo1.html
   My authors  Follow this author

Denis Bolduc

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Philippe Barla & Denis Bolduc & Nathalie Boucher & Jonathan Watters, 2008. "Information technology and efficiency in trucking," Working Papers of Department of Economics, Leuven ces0813, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

    Cited by:

    1. Abate, Megersa & de Jong, Gerard, 2014. "The optimal shipment size and truck size choice – The allocation of trucks across hauls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 262-277.
    2. Cédric Gossart, 2015. "Rebound effects and ICT : a review of the literature," Post-Print hal-01258112, HAL.
    3. Zolfagharinia, Hossein & Haughton, Michael A., 2017. "Operational flexibility in the truckload trucking industry," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 437-460.
    4. Cédric Gossart, 2015. "Rebound effects and ICT : a review of the literature," Grenoble Ecole de Management (Post-Print) hal-01258112, HAL.

  2. Stephane Hess & Denis Bolduc & John Polak, 2005. "Random Covariance Heterogeneity in Discrete Choice Models," ERSA conference papers ersa05p375, European Regional Science Association.

    Cited by:

    1. Morten Mørkbak & Jonas Nordström, 2009. "The Impact of Information on Consumer Preferences for Different Animal Food Production Methods," Journal of Consumer Policy, Springer, vol. 32(4), pages 313-331, December.
    2. Peter Davis & Pasquale Schiraldi, 2014. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products," RAND Journal of Economics, RAND Corporation, vol. 45(1), pages 32-63, March.
    3. Eric Gautier & Yuichi Kitamura, 2011. "Nonparametric estimation in random coefficients binary choice models," Working Papers hal-00403939, HAL.
    4. Marcucci, Edoardo & Gatta, Valerio, 2012. "Dissecting preference heterogeneity in consumer stated choices," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 331-339.
    5. Habib, Khandker M. Nurul & Sasic, Ana, 2014. "A GEV model with scale heterogeneity for investigating the role of mobility tool ownership in peak period non-work travel mode choices," Journal of choice modelling, Elsevier, vol. 10(C), pages 46-59.
    6. Matzkin, Rosa L., 2012. "Identification in nonparametric limited dependent variable models with simultaneity and unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 166(1), pages 106-115.

  3. Pene Kalulumia & Denis Bolduc, 2004. "Generalized Mixed Estimation Of A Multinomial Discretecontinuous Choice Model For Electricity Demand," Cahiers de recherche 04-01, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.

    Cited by:

    1. Petr Hanel, 2003. "Impact Of Government Support Programs On Innovation By Canadian Manufacturing Firms," Cahiers de recherche 04-02, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.

  4. Bernard, Jean-Thomas & Bolduc, Denis & Hardy, Annie, 1998. "The Marginal Cost of Natural Gas Distribution Pipelines: The Case of Société en Commandite Gaz Métropolitain, Québec," Cahiers de recherche 9824, Université Laval - Département d'économique.

    Cited by:

    1. Rita, Rui & Marques, Vitor & Lúcia Costa, Ana & Matos Chaves, Inês & Gomes, Joana & Paulino, Paulo, 2018. "Efficiency performance and cost structure of Portuguese energy “utilities” – Non-parametric and parametric analysis," Energy, Elsevier, vol. 155(C), pages 35-45.
    2. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    3. Farsi, Mehdi & Filippini, Massimo & Kuenzle, Michael, 2007. "Cost efficiency in the Swiss gas distribution sector," Energy Economics, Elsevier, vol. 29(1), pages 64-78, January.
    4. Ertürk, Mehmet & Türüt-AsIk, Serap, 2011. "Efficiency analysis of Turkish natural gas distribution companies by using data envelopment analysis method," Energy Policy, Elsevier, vol. 39(3), pages 1426-1438, March.

  5. Denis Bolduc & Bernard Fortin & France Labrecque & Paul Lanoie, 1997. "Incentive Effects of Public Insurance Programs on the Occurence and the Composition of Workplace Injuries," CIRANO Working Papers 97s-24, CIRANO.

    Cited by:

    1. Bernard Fortin & Paul Lanoie, 1998. "Effects of Workers' Compensation: A Survey," CIRANO Working Papers 98s-04, CIRANO.
    2. Pierre André Chiappori & Bernard Salanié, 2002. "Testing Contract Theory: A Survey of Some Recent Work," CESifo Working Paper Series 738, CESifo.

  6. BOLDUC, Denis & BONIN, Sylvie, 1995. "Bayesian Analysis of Road Accidents: Accounting for Deterministic Heterogeneity," Cahiers de recherche 9518, Université Laval - Département d'économique.

    Cited by:

    1. Bolduc, Denis & Bonin, Sylvie, 1997. "Modèle bayésien généralisé pour l’identification des sites routiers dangereux," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 81-98, mars-juin.

  7. BOLDUC, Denis & FORTIN, Bernard & GORDON, Stephen, 1995. "Multinomial Probit Estimation of Spatially Interdependent Choices: an Empirical Comparison of Two New Techniques," Cahiers de recherche 9508, Université Laval - Département d'économique.

    Cited by:

    1. Eric Delattre & Anne-Laure Samson, 2012. "Stratégies de localisation des médecins généralistes français : mécanismes économiques ou hédonistes ?," Économie et Statistique, Programme National Persée, vol. 455(1), pages 115-142.
    2. Wang, Chih-Hao & Chen, Na, 2015. "A GIS-based spatial statistical approach to modeling job accessibility by transportation mode: case study of Columbus, Ohio," Journal of Transport Geography, Elsevier, vol. 45(C), pages 1-11.
    3. Heijnen, P. & Samarina, A.. & Jacobs, J.P.A.M. & Elhorst, J.P., 2013. "State transfers at different moments in time," Research Report 13006-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    4. Jean-François Richard, 2015. "Likelihood Evaluation of High-Dimensional Spatial Latent Gaussian Models with Non-Gaussian Response Variables," Working Paper 5778, Department of Economics, University of Pittsburgh.
    5. Ricardo A. Daziano & Luis Miranda-Moreno & Shahram Heydari, 2013. "Computational Bayesian Statistics in Transportation Modeling: From Road Safety Analysis to Discrete Choice," Transport Reviews, Taylor & Francis Journals, vol. 33(5), pages 570-592, September.
    6. Lei, J., 2013. "Smoothed Spatial Maximum Score Estimation of Spatial Autoregressive Binary Choice Panel Models," Other publications TiSEM d63bf400-7ff2-4a1c-8067-1, Tilburg University, School of Economics and Management.
    7. Wall, Melanie M. & Liu, Xuan, 2009. "Spatial latent class analysis model for spatially distributed multivariate binary data," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3057-3069, June.
    8. Schmidheiny, Kurt, 2003. "Income Segregation and Local Progressive Taxation: Empirical Evidence from Switzerland," Discussion Paper Series 26217, Hamburg Institute of International Economics.
    9. Raffaella Calabrese & Johan A. Elkink, 2012. "Estimators of Binary Spatial Autoregressive Models: A Monte Carlo Study," Working Papers 201215, Geary Institute, University College Dublin.
    10. PHOLO BALA, Alain & PEETERS, Dominique & THOMAS, Isabelle, 2013. "Spatial issues on a hedonic estimation of rents in Brussels," LIDAM Discussion Papers CORE 2013036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Ozturk, Erdogan & Irwin, Elena G., 2001. "Explaining Household Location Choices Using A Spatial Probit Model," 2001 Annual meeting, August 5-8, Chicago, IL 20626, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. David Revelt and Kenneth Train., 2000. "Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier," Economics Working Papers E00-274, University of California at Berkeley.
    13. Holmes, George M., 2005. "Increasing physician supply in medically underserved areas," Labour Economics, Elsevier, vol. 12(5), pages 697-725, October.
    14. De Pinto, Alessandro & Nelson, Gerald C., 2002. "Correcting For Spatial Effects In Limited Dependent Variable Regression: Assessing The Value Of "Ad-Hoc" Techniques," 2002 Annual meeting, July 28-31, Long Beach, CA 19782, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Liesenfeld, Roman & Richard, Jean-François & Vogler, Jan, 2013. "Analysis of discrete dependent variable models with spatial correlation," Economics Working Papers 2013-01, Christian-Albrechts-University of Kiel, Department of Economics.
    16. Weiss, Adam & Habib, Khandker Nurul, 2017. "Examining the difference between park and ride and kiss and ride station choices using a spatially weighted error correlation (SWEC) discrete choice model," Journal of Transport Geography, Elsevier, vol. 59(C), pages 111-119.
    17. George M. Holmes, 2004. "Does the National Health Service Corps Improve Physician Supply in Underserved Locations?," Eastern Economic Journal, Eastern Economic Association, vol. 30(4), pages 563-581, Fall.
    18. Börsch-Supan, Axel & Moshe Ben-Akiva & Kenneth Train & Daniel McFadden, 2002. "Hybrid Choice Models: Progress and Challenges," MEA discussion paper series 02009, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    19. Lei, J., 2013. "Smoothed Spatial Maximum Score Estimation of Spatial Autoregressive Binary Choice Panel Models," Discussion Paper 2013-061, Tilburg University, Center for Economic Research.
    20. Ricardo A. Daziano & Martin Achtnicht, 2014. "Forecasting Adoption of Ultra-Low-Emission Vehicles Using Bayes Estimates of a Multinomial Probit Model and the GHK Simulator," Transportation Science, INFORMS, vol. 48(4), pages 671-683, November.
    21. Dannewald, Till & Kreis, Henning & Silberhorn, Nadja, 2007. "Das hybride Wahlmodell und seine Anwendung im Marketing," SFB 649 Discussion Papers 2007-062, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    22. J. Paul Elhorst & Pim Heijnen & Anna Samarina & Jan P. A. M. Jacobs, 2017. "Transitions at Different Moments in Time: A Spatial Probit Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 422-439, March.
    23. Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
    24. Daziano, Ricardo A. & Achtnicht, Martin, 2012. "Forecasting adoption of ultra-low-emission vehicles using the GHK simulator and Bayes estimates of a multinomial probit model," ZEW Discussion Papers 12-017, ZEW - Leibniz Centre for European Economic Research.
    25. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    26. Fanny Alivon & Rachel Guillain, 2018. "Urban segregation and unemployment: A case study of the urban area of Marseille – Aix-en-Provence (France)," Post-Print hal-02114051, HAL.
    27. De Pinto, Alessandro & Nelson, Gerald C., 2004. "A Dynamic Model Of Land Use Change With Spatially Explicit Data," 2004 Annual meeting, August 1-4, Denver, CO 20314, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    28. Aßmann, Christian, 2007. "Determinants and Costs of Current Account Reversals under Heterogeneity and Serial Correlation," Economics Working Papers 2007-17, Christian-Albrechts-University of Kiel, Department of Economics.

  8. BOLDUC, Denis & LACROIX, Guy & MULLER, Christophe, 1994. "The Choice of Medical Providers in Rural Bénin: a Comparison of Discrete Choice Model," Cahiers de recherche 9411, Université Laval - Département d'économique.

    Cited by:

    1. Alfred Kechia Mukong & Justine Burns, 2019. "Bargaining Power within Couples and Health Care Provider Choice in Tanzania," African Development Review, African Development Bank, vol. 31(3), pages 380-392, September.
    2. Chhandita Das & Christopher M. Anderson & Stephen K. Swallow, 2009. "Estimating Distributions of Willingness to Pay for Heterogeneous Populations," Southern Economic Journal, John Wiley & Sons, vol. 75(3), pages 593-610, January.
    3. Sandra G. Sosa-Rubi & Omar Galarraga & Jeffrey E. Harris, 2007. "Heterogeneous Impact of the "Seguro Popular" Program on the Utilization of Obstetrical Services in Mexico, 2001-2006: A Multinomial Probit Model with a Discrete Endogenous Variable," NBER Working Papers 13498, National Bureau of Economic Research, Inc.
    4. Péter Elek & Balázs Váradi & Márton Varga, 2015. "Effects of Geographical Accessibility on the Use of Outpatient Care Services: Quasi‐Experimental Evidence from Panel Count Data," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1131-1146, September.
    5. Appleton, S., 2000. "Education and Health at the Household Level in Sub-Saharan Africa," Papers 33, Chicago - Graduate School of Business.
    6. Magnus Lindelow, 2004. "The Utilization of Curative Health Care in Mozambique: Does Income Matter?," Development and Comp Systems 0409057, University Library of Munich, Germany.
    7. Mwabu, Germano, 2007. "Health Economics for Low-Income Countries," Center Discussion Papers 10118, Yale University, Economic Growth Center.
    8. Óscar D. Lourenço & Pedro L. Ferreira, 2005. "Utilization of public health centres in Portugal: effect of time costs and other determinants. Finite mixture models applied to truncated samples," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 939-953, September.
    9. Ardeshir Sepehri & Robert Chernomas, 2001. "Are user charges efficiency- and equity-enhancing? A critical review of economic literature with particular reference to experience from developing countries," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(2), pages 183-209.
    10. Germano Mwabu, 1997. "User Charges for Health Care: A Review of the Underlying Theory and Assumptions," WIDER Working Paper Series wp-1997-127, World Institute for Development Economic Research (UNU-WIDER).
    11. Conrad Y. Puozaa, 2016. "The Determinants of Hospital Length of Stay in Nigeria," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 9(3), pages 34-42, December.
    12. Elek, P. & Varadi, B. & Varga, M., 2014. "Effects of geographical accessibility on the use of outpatient care services: quasi-experimental evidence from administrative panel data," Health, Econometrics and Data Group (HEDG) Working Papers 14/17, HEDG, c/o Department of Economics, University of York.
    13. Lloyd Amaghionyeodiwe, 2008. "Determinants of the choice of health care provider in Nigeria," Health Care Management Science, Springer, vol. 11(3), pages 215-227, September.
    14. Habtom, GebreMichael Kibreab & Ruys, Pieter, 2007. "The choice of a health care provider in Eritrea," Health Policy, Elsevier, vol. 80(1), pages 202-217, January.
    15. Ángel López-Nicolás & Marcos Vera-Hernández, 2002. "Are tax subsidies for private medical insurance self-financing? Evidence from a microsimulation model for outpatient and inpatient episodes," Economics Working Papers 632, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2004.
    16. Leonard, Kenneth L., 2009. "The cost of imperfect agency in health care: Evidence from rural Cameroun," Journal of Development Economics, Elsevier, vol. 88(2), pages 282-291, March.
    17. Srivastava, Divya & McGuire, Alistair, 2015. "Patient access to health care and medicines across low-income countries," Social Science & Medicine, Elsevier, vol. 133(C), pages 21-27.
    18. AfDB AfDB, 2002. "Working Paper 38 - Health Development in Africa," Working Paper Series 2256, African Development Bank.
    19. Anta TA DIAL & Moussa DIENG & Martine AUDIBERT & Jean-Yves LE HESRAN, 2014. "Déterminants de la demande de soins en milieu péri-urbain dans un contexte de subvention à Pikine, Sénégal," Working Papers 201415, CERDI.
    20. Ziegler, Andreas, 2002. "Simulated Classical Tests in the Multiperiod Multinomial Probit Model," ZEW Discussion Papers 02-38, ZEW - Leibniz Centre for European Economic Research.
    21. Jaume Puig & Marc Sáez & Esther Martínez Garcia, 1998. "Health care provider choice in the case of patient-initiated contacts. An extended version of discrete choice of model demand," Economics Working Papers 308, Department of Economics and Business, Universitat Pompeu Fabra.
    22. Shengelia, Bakhuti & Tandon, Ajay & Adams, Orvill B. & Murray, Christopher J.L., 2005. "Access, utilization, quality, and effective coverage: An integrated conceptual framework and measurement strategy," Social Science & Medicine, Elsevier, vol. 61(1), pages 97-109, July.
    23. Canaviri, Jose, 2007. "A Random Parameter Logit model for modeling Health Care Provider Choice in Bolivia," MPRA Paper 3263, University Library of Munich, Germany.
    24. Erlyana, Erlyana & Damrongplasit, Kannika Kampanya & Melnick, Glenn, 2011. "Expanding health insurance to increase health care utilization: Will it have different effects in rural vs. urban areas?," Health Policy, Elsevier, vol. 100(2-3), pages 273-281, May.
    25. Dzator, Janet & Asafu-Adjaye, John, 2004. "A study of malaria care provider choice in Ghana," Health Policy, Elsevier, vol. 69(3), pages 389-401, September.
    26. Ke-Zong Ma & Edward Norton & Shoou-Yih Lee, 2011. "Mind the information gap: fertility rate and use of cesarean delivery and tocolytic hospitalizations in Taiwan," Health Economics Review, Springer, vol. 1(1), pages 1-15, December.
    27. Moussa Dieng & Martine Audibert & Jean-Yves Le Hesran & Anta Ta Dial, 2015. "Déterminants de la demande de soins en milieu péri-urbain dans un contexte de subvention à Pikine, Sénégal," CERDI Working papers halshs-01027504, HAL.
    28. Marisol Rodríguez & Alexandrina Stoyanova, 2004. "The effect of private insurance access on the choice of GP/specialist and public/private provider in Spain," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 689-703, July.
    29. Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
    30. Cronin, C.J.; & Guilkey, D.K.; & Speizer, I.S.;, 2018. "Measurement Error in Discrete Health Facility Choice Models:an Example from Urban Senegal," Health, Econometrics and Data Group (HEDG) Working Papers 18/18, HEDG, c/o Department of Economics, University of York.
    31. Ziegler Andreas, 2010. "Z-Tests in Multinomial Probit Models under Simulated Maximum Likelihood Estimation: Some Small Sample Properties," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(5), pages 630-652, October.
    32. Sisira Sarma, 2009. "Demand for outpatient healthcare," Applied Health Economics and Health Policy, Springer, vol. 7(4), pages 265-277, December.
    33. AfDB AfDB, 2002. "Working Paper 38 - Health Development in Africa," Working Paper Series 2176, African Development Bank.
    34. Lawson, David, 2004. "Determinants of Health Seeking Behaviour in Uganda - Is It Just Income and User Fees That Are Important?," Development Economics and Public Policy Working Papers 30553, University of Manchester, Institute for Development Policy and Management (IDPM).
    35. Filmer, Deon & Hammer, Jeffrey & Pritchett, Lant, 1998. "Health policy in poor countries : weak links in the chain," Policy Research Working Paper Series 1874, The World Bank.
    36. Bijan J. Borah, 2006. "A mixed logit model of health care provider choice: analysis of NSS data for rural India," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 915-932, September.
    37. Andreas Ziegler, 2007. "Simulated classical tests in multinomial probit models," Statistical Papers, Springer, vol. 48(4), pages 655-681, October.
    38. Charles Mulindabigwi Ruhara & Josue Mbonigaba, 2016. "The Role of Economic Factors in the Choice of Medical Providers in Rwanda," Journal of Economics and Behavioral Studies, AMH International, vol. 8(2), pages 65-78.

  9. Ben-Akiva, M. & Bolduc, D. & Bradley, M., 1993. "Estimation of Travel Choice Models with Randomly Distributed Values of Time," Papers 9303, Laval - Recherche en Energie.

    Cited by:

    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. Blayac, Thierry & Causse, Anne, 2001. "Value of travel time: a theoretical legitimization of some nonlinear representative utility in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 35(4), pages 391-400, May.
    3. Lee, Yinjin & Bateman, Alexis, 2021. "The competitiveness of fair trade and organic versus conventional coffee based on consumer panel data," Ecological Economics, Elsevier, vol. 184(C).
    4. Eriksson, Tor & Kristensen, Nicolai, 2010. "Wages or Fringes? Some Evidence on Trade-offs and Sorting," Working Papers 10-16, University of Aarhus, Aarhus School of Business, Department of Economics.
    5. Adler, Jeffrey L. & Cetin, Mecit, 2001. "A direct redistribution model of congestion pricing," Transportation Research Part B: Methodological, Elsevier, vol. 35(5), pages 447-460, June.
    6. Victoria Prowse, 2012. "Modeling Employment Dynamics With State Dependence and Unobserved Heterogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 411-431, April.
    7. Algers, Staffan & Bergström, Pål & Dahlberg, Matz & Lindqvist Dillén, Johanna, 1998. "Mixed Logit Estimation of the Value of Travel Time," Working Paper Series 1998:15, Uppsala University, Department of Economics.
    8. Nielsen, Otto Anker, 2000. "A stochastic transit assignment model considering differences in passengers utility functions," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 377-402, June.
    9. Bernard Fortin & Nicolas Jacquemet & Bruce Shearer, 2008. "Policy Analysis in the health-services market: accounting for quality and quantity," Post-Print halshs-00305309, HAL.
    10. Herriges, Joseph A. & Phaneuf, Daniel J., 1999. "Controlling for Correlation Across Choice Occasions and Sites in a Repeated Mixed Logit Model of Recreation Demand," Western Region Archives 321717, Western Region - Western Extension Directors Association (WEDA).
    11. Srinivasan, Karthik K. & Mahmassani, Hani S., 2003. "Analyzing heterogeneity and unobserved structural effects in route-switching behavior under ATIS: a dynamic kernel logit formulation," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 793-814, November.
    12. Yves Croissant, 2020. "mlogit: Random Utility Models in R," Post-Print hal-03019603, HAL.
    13. Amandeep Singh & Ye Liu & Hema Yoganarasimhan, 2023. "Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets," Papers 2307.07090, arXiv.org, revised Feb 2024.
    14. Mario Bossler & Michael Oberfichtner & Claus Schnabel, 2020. "Employment Adjustments Following Rises and Reductions in Minimum Wages: New Insights From a Survey Experiment," LABOUR, CEIS, vol. 34(3), pages 323-346, September.
    15. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7ng2z24q, University of California Transportation Center.
    16. Joan L. Walker & Moshe Ben-Akiva & Denis Bolduc, 2007. "Identification of parameters in normal error component logit-mixture (NECLM) models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1095-1125.
    17. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    18. Bliemer, Michiel C.J. & Rose, John M., 2010. "Construction of experimental designs for mixed logit models allowing for correlation across choice observations," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 720-734, July.
    19. Laura Mørch Andersen, 2010. "Maintaining symmetry of simulated likelihood functions," IFRO Working Paper 2010/16, University of Copenhagen, Department of Food and Resource Economics.
    20. Zhang, Runsen & Fujimori, Shinichiro & Dai, Hancheng & Hanaoka, Tatsuya, 2018. "Contribution of the transport sector to climate change mitigation: Insights from a global passenger transport model coupled with a computable general equilibrium model," Applied Energy, Elsevier, vol. 211(C), pages 76-88.
    21. Alexander Ebertz, 2009. "The Determinants of Joint Residential and Job Location Choices: A Mixed Logit Approach," ifo Working Paper Series 82, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    22. Bolduc, Denis & Khalaf, Lynda & Yélou, Clément, 2010. "Identification robust confidence set methods for inference on parameter ratios with application to discrete choice models," Journal of Econometrics, Elsevier, vol. 157(2), pages 317-327, August.
    23. Erik Meijer & Jan Rouwendal, 2006. "Measuring welfare effects in models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 227-244, March.
    24. Laura Mørch Andersen, 2014. "Obtaining Reliable Likelihood Ratio Tests from Simulated Likelihood Functions," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-12, October.
    25. Nie, Yu (Marco) & Liu, Yang, 2010. "Existence of self-financing and Pareto-improving congestion pricing: Impact of value of time distribution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 39-51, January.
    26. Laura Mørch Andersen, 2013. "Obtaining reliable Likelihood Ratio tests from simulated likelihood functions," IFRO Working Paper 2013/1, University of Copenhagen, Department of Food and Resource Economics.
    27. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    28. Walker, Joan & Ben-Akiva, Moshe, 2002. "Generalized random utility model," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 303-343, July.
    29. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7nq9p0cv, University of California Transportation Center.
    30. Denis Bolduc & Lynda Khalaf & Clément Yélou, 2005. "Identification Robust Confidence Sets Methods for Inference on Parameter Ratios and their Application to Estimating Value-of-Time," Computing in Economics and Finance 2005 48, Society for Computational Economics.
    31. Bolduc, Denis, 1999. "A practical technique to estimate multinomial probit models in transportation," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 63-79, February.
    32. Joan L. Walker & Moshe Ben-Akiva, 2011. "Advances in Discrete Choice: Mixture Models," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 8, Edward Elgar Publishing.
    33. Beyene, Abebe D. & Koch, Steven F., 2013. "Property rights, institutions and choice of fuelwood source in rural Ethiopia," Forest Policy and Economics, Elsevier, vol. 30(C), pages 30-38.
    34. Chandra R. Bhat, 2000. "Incorporating Observed and Unobserved Heterogeneity in Urban Work Travel Mode Choice Modeling," Transportation Science, INFORMS, vol. 34(2), pages 228-238, May.
    35. Vij, Akshay & Carrel, André & Walker, Joan L., 2013. "Incorporating the influence of latent modal preferences on travel mode choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 164-178.
    36. Tian, Li-Jun & Yang, Hai & Huang, Hai-Jun, 2013. "Tradable credit schemes for managing bottleneck congestion and modal split with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 54(C), pages 1-13.
    37. Robin Lindsey, 2004. "Existence, Uniqueness, and Trip Cost Function Properties of User Equilibrium in the Bottleneck Model with Multiple User Classes," Transportation Science, INFORMS, vol. 38(3), pages 293-314, August.
    38. KOKOYE, Senakpon & JOLLY, Curtis.M. & MOLNAR, Joseph & SHANNON, Dennis & BAYARD, Budry, 2016. "Adoption And Impact Of Soil Conservation Practices On Farm Income: Evidence From Northern Haiti," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230145, Southern Agricultural Economics Association.
    39. Jagger, Pamela & Jumbe, Charles, 2016. "Stoves or sugar? Willingness to adopt improved cookstoves in Malawi," Energy Policy, Elsevier, vol. 92(C), pages 409-419.
    40. Mohanty, Sudatta & Bansal, Sugam & Bairwa, Khushi, 2017. "Effect of integration of bicyclists and pedestrians with transit in New Delhi," Transport Policy, Elsevier, vol. 57(C), pages 31-40.
    41. Fernández-Antolín, Anna & Guevara, C. Angelo & de Lapparent, Matthieu & Bierlaire, Michel, 2016. "Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data," Journal of choice modelling, Elsevier, vol. 20(C), pages 1-15.
    42. Bhat, Chandra R., 1998. "Accommodating variations in responsiveness to level-of-service measures in travel mode choice modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(7), pages 495-507, September.
    43. Lorenzo Masiero & Rico Maggi, 2011. "Accounting for WTP/WTA discrepancy in discrete choice models: Discussion of policy implications based on two freight transport stated choice experiments," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1103, USI Università della Svizzera italiana.
    44. Cascetta, Ennio & Cartenì, Armando & Pagliara, Francesca & Montanino, Marcello, 2015. "A new look at planning and designing transportation systems: A decision-making model based on cognitive rationality, stakeholder engagement and quantitative methods," Transport Policy, Elsevier, vol. 38(C), pages 27-39.
    45. Crabbe, Marjolein & Akinc, Deniz & Vandebroek, Martina, 2014. "Fast algorithms to generate individualized designs for the mixed logit choice model," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 1-15.
    46. Hess, Stephane & Rose, John M., 2009. "Allowing for intra-respondent variations in coefficients estimated on repeated choice data," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 708-719, July.

  10. Bolduc, D. & Laferriere, R. & Santarossa, G., 1993. "Spatial Autoregressive Error Components in Travel Flow Models: an Application to Aggregate Mode Choice," Papers 9212, Laval - Recherche en Politique Economique.

    Cited by:

    1. David Brasington & D. Hite, 2003. "Demand for Environmental Quality: A Spatial Hedonic Analysis," Departmental Working Papers 2003-02, Department of Economics, Louisiana State University.

  11. Bernard, J.T. & Bolduc, D. & Belanger, D., 1993. "Quebec Residential Electricity Demand: A Microeconometric Approach," Papers 9334, Laval - Recherche en Energie.

    Cited by:

    1. Runa Nesbakken, 1998. "Residential Energy Consumption for Space Heating in Norwegian Households A Discrete-Continuous Choice Approach," Discussion Papers 231, Statistics Norway, Research Department.
    2. Timmins, Christopher, 2002. "Does the Median Voter Consume Too Much Water? Analyzing the Redistributive Role of Residential Water Bills," National Tax Journal, National Tax Association;National Tax Journal, vol. 55(4), pages 687-702, December.
    3. Belaïd, Fateh & Garcia, Thomas, 2016. "Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data," Energy Economics, Elsevier, vol. 57(C), pages 204-214.
    4. Nicholas Rivers & Leslie Shiell, 2014. "Free-Riding on Energy Efficiency Subsidies: the Case of Natural Gas Furnaces in Canada," Working Papers E1404E, University of Ottawa, Department of Economics.
    5. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2018. "A discrete/continuous choice model on a nonconvex budget set," Econometric Reviews, Taylor & Francis Journals, vol. 37(2), pages 89-113, February.
    6. Changqi Wu & Leonard K. Cheng, 1997. "Hong Kong's Business Regulation in Transition," NBER Working Papers 6332, National Bureau of Economic Research, Inc.
    7. Olivier Damette & Philippe Delacote & Gaye Del Lo, 2018. "Households energy consumption and transition toward cleaner energy sources," Post-Print hal-01762610, HAL.
    8. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
    9. Laurent Granier & Marion Podesta, 2010. "Bundling and Mergers in Energy Markets," Post-Print hal-00955456, HAL.
    10. Best, Rohan & Burke, Paul J., 2022. "Effects of renting on household energy expenditure: Evidence from Australia," Energy Policy, Elsevier, vol. 166(C).
    11. Bente Halvorsen & Bodil M. Larsen, 1999. "Changes in the Pattern of Household Electricity Demand over Time," Discussion Papers 255, Statistics Norway, Research Department.
    12. Salomé Bakaloglou & Dorothée Charlier, 2018. "Energy Consumption in the French Residential Sector: How Much Do Individual Preferences Matter?," Working Papers 1803, Chaire Economie du climat.
    13. Frontuto Vito, 2012. "Residential Energy Demand: a Multiple Discrete-Continuous Extreme Value Model using Italian Expenditure Data," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201203, University of Turin.
    14. Patteeuw, Dieter & Bruninx, Kenneth & Arteconi, Alessia & Delarue, Erik & D’haeseleer, William & Helsen, Lieve, 2015. "Integrated modeling of active demand response with electric heating systems coupled to thermal energy storage systems," Applied Energy, Elsevier, vol. 151(C), pages 306-319.
    15. Zhang, Fan, 2011. "Distributional impact analysis of the energy price reform in Turkey," Policy Research Working Paper Series 5831, The World Bank.
    16. Espey, James A. & Espey, Molly, 2004. "Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 36(1), pages 65-81, April.
    17. Lucas W. Davis & Lutz Kilian, 2011. "The Allocative Cost of Price Ceilings in the U.S. Residential Market for Natural Gas," Journal of Political Economy, University of Chicago Press, vol. 119(2), pages 212-241.
    18. van den Bergh, Jeroen C.J.M., 2008. "Environmental regulation of households: An empirical review of economic and psychological factors," Ecological Economics, Elsevier, vol. 66(4), pages 559-574, July.
    19. Kilian, Lutz & Davis, Lucas W, 2007. "The Allocative Cost of Price Ceilings: Lessons to be Learned from the US Residential Market for Natural Gas," CEPR Discussion Papers 6142, C.E.P.R. Discussion Papers.
    20. Alhassan A. Karakara & Evans S. Osabuohien, 2020. "Clean versus Dirty Energy: Empirical Evidence from Fuel Adoption and Usage by Households in Ghana," Research Africa Network Working Papers 20/075, Research Africa Network (RAN).
    21. Dorothée Charlier & Sondès Kahouli, 2018. "From residential energy demand to fuel poverty: income-induced non-linearities in the reactions of households to energy price fluctuations," Working Papers 2018.11, FAERE - French Association of Environmental and Resource Economists.
    22. Lucas W. Davis, 2008. "Durable goods and residential demand for energy and water: evidence from a field trial," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 530-546, June.
    23. Newell, Richard G. & Pizer, William A., 2005. "Carbon Mitigation Costs for the Commercial Sector: Discrete-Continuous Choice Analysis of Multifuel Energy Demand," Discussion Papers 10625, Resources for the Future.
    24. Narayan, Paresh Kumar & Smyth, Russell & Prasad, Arti, 2007. "Electricity consumption in G7 countries: A panel cointegration analysis of residential demand elasticities," Energy Policy, Elsevier, vol. 35(9), pages 4485-4494, September.
    25. Fateh Belaïd & Christophe Rault & Camille Massié, 2021. "A life-cycle theory analysis of French household electricity demand," Post-Print hal-03271505, HAL.
    26. Leth-Petersen, Soren & Togeby, Mikael, 2001. "Demand for space heating in apartment blocks: measuring effects of policy measures aiming at reducing energy consumption," Energy Economics, Elsevier, vol. 23(4), pages 387-403, July.
    27. Rehdanz, Katrin, 2007. "Determinants of residential space heating expenditures in Germany," Energy Economics, Elsevier, vol. 29(2), pages 167-182, March.
    28. Alhassan A. Karakara & Evans S. Osabuohien & Simplice A. Asongu, 2021. "Domestic Energy Consumption in Ghana: Deprivation versus Likelihood of Access," Research Africa Network Working Papers 21/023, Research Africa Network (RAN).
    29. Bernard, Jean-Thomas & Bolduc, Denis & Yameogo, Nadège-Désirée, 2011. "A pseudo-panel data model of household electricity demand," Resource and Energy Economics, Elsevier, vol. 33(1), pages 315-325, January.
    30. Yueming Qiu, 2014. "Energy Efficiency and Rebound Effects: An Econometric Analysis of Energy Demand in the Commercial Building Sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(2), pages 295-335, October.
    31. Çetinkaya, Murat & Başaran, Alparslan A. & Bağdadioğlu, Necmiddin, 2015. "Electricity reform, tariff and household elasticity in Turkey," Utilities Policy, Elsevier, vol. 37(C), pages 79-85.
    32. Cao, Jing & Ho, Mun Sing & Li, Yating & Newell, Richard G. & Pizer, William A., 2019. "Chinese residential electricity consumption: Estimation and forecast using micro-data," Resource and Energy Economics, Elsevier, vol. 56(C), pages 6-27.
    33. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2010. "Discrete/Continuous Choice Model of the Residential Gas Demand on the Nonconvex Budget Set," CIRJE F-Series CIRJE-F-770, CIRJE, Faculty of Economics, University of Tokyo.
    34. Konstantina Valogianni & Wolfgang Ketter & John Collins & Dmitry Zhdanov, 2020. "Sustainable Electric Vehicle Charging using Adaptive Pricing," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1550-1572, June.
    35. Anna Risch & Claire Salmon, 2013. "What matters in Residential Energy Consumption? Evidence from France," Working Papers hal-01081953, HAL.
    36. Runa Nesbakken, 1998. "Price Sensitivity of Residential Energy Consumption in Norway," Discussion Papers 232, Statistics Norway, Research Department.
    37. Halvorsen, Bente & Larsen, Bodil M., 2001. "Norwegian residential electricity demand--a microeconomic assessment of the growth from 1976 to 1993," Energy Policy, Elsevier, vol. 29(3), pages 227-236, February.
    38. Xavier Labandeira & José M. Labeaga & Xiral López-Otero, 2011. "Energy Demand for Heating in Spain: An Empirical Analysis with Policy Purposes," Working Papers 06-2011, Economics for Energy.
    39. Michael Hanemann & Xavier Labandeira & José M. Labeaga, 2013. "Energy Demand for Heating: Short Run and Long Run," Working Papers 07-2013, Economics for Energy.
    40. Inglesi, Roula, 2010. "Aggregate electricity demand in South Africa: Conditional forecasts to 2030," Applied Energy, Elsevier, vol. 87(1), pages 197-204, January.
    41. Fan Zhang, 2015. "Energy Price Reform and Household Welfare: The Case of Turkey," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    42. Liao, Huei-Chu & Chang, Tsai-Feng, 2002. "Space-heating and water-heating energy demands of the aged in the US," Energy Economics, Elsevier, vol. 24(3), pages 267-284, May.
    43. Newell, Richard G. & Pizer, William A., 2008. "Carbon mitigation costs for the commercial building sector: Discrete-continuous choice analysis of multifuel energy demand," Resource and Energy Economics, Elsevier, vol. 30(4), pages 527-539, December.
    44. Fateh Belaïd & Christophe Rault & Camille Massié, 2021. "A Life-Cycle Analysis of French Household Electricity Demand," CESifo Working Paper Series 8814, CESifo.
    45. Hanemann, Michael & Labandeira, Xavier & Labeaga, José M. & Vásquez-Lavín, Felipe, 2024. "Discrete-continuous models of residential energy demand: A comprehensive review," Resource and Energy Economics, Elsevier, vol. 77(C).
    46. Halvorsen, Bente & Larsen, Bodil M., 2001. "The flexibility of household electricity demand over time," Resource and Energy Economics, Elsevier, vol. 23(1), pages 1-18, January.
    47. Nesbakken, Runa, 1999. "Price sensitivity of residential energy consumption in Norway," Energy Economics, Elsevier, vol. 21(6), pages 493-515, December.

  12. Bolduc, D. & Fortin, B. & Fournier, M.A., 1993. "The Impact of Incentive Policies on the Practice Location of Doctors: A Multinominal Probit Analysis," Papers 9308, Laval - Recherche en Politique Economique.

    Cited by:

    1. Schmidheiny, Kurt, 2003. "Income Segregation and Local Progressive Taxation: Empirical Evidence from Switzerland," Discussion Paper Series 26217, Hamburg Institute of International Economics.
    2. Bernard Fortin & Paul Lanoie, 1998. "Effects of Workers' Compensation: A Survey," CIRANO Working Papers 98s-04, CIRANO.
    3. François Rivest & Pascal Bossé & Silviu Nedelca & Alain Simard, 1999. "Access to Physician Services in Quebec: Relative Influence of Household Income and Area of Residence," Canadian Public Policy, University of Toronto Press, vol. 25(4), pages 453-481, December.
    4. Denis Bolduc & Bernard Fortin & France Labrecque & Paul Lanoie, 1997. "Incentive Effects of Public Insurance Programs on the Occurence and the Composition of Workplace Injuries," CIRANO Working Papers 97s-24, CIRANO.

  13. Bolduc, D. & Ben-Akiva, M., 1991. "A Multinational Probit Formulation for Large Choice Sets," Papers 9110, Laval - Recherche en Energie.

    Cited by:

    1. Bernard Fortin & Paul Lanoie, 1998. "Effects of Workers' Compensation: A Survey," CIRANO Working Papers 98s-04, CIRANO.
    2. Ding-Mastera, Jing & Gao, Song & Jenelius, Erik & Rahmani, Mahmood & Ben-Akiva, Moshe, 2019. "A latent-class adaptive routing choice model in stochastic time-dependent networks," Transportation Research Part B: Methodological, Elsevier, vol. 124(C), pages 1-17.
    3. Joan L. Walker & Moshe Ben-Akiva & Denis Bolduc, 2007. "Identification of parameters in normal error component logit-mixture (NECLM) models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1095-1125.
    4. Walker, Joan & Ben-Akiva, Moshe, 2002. "Generalized random utility model," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 303-343, July.
    5. Daziano, Ricardo A. & Achtnicht, Martin, 2012. "Forecasting adoption of ultra-low-emission vehicles using the GHK simulator and Bayes estimates of a multinomial probit model," ZEW Discussion Papers 12-017, ZEW - Leibniz Centre for European Economic Research.
    6. Denis Bolduc & Bernard Fortin & France Labrecque & Paul Lanoie, 1997. "Incentive Effects of Public Insurance Programs on the Occurence and the Composition of Workplace Injuries," CIRANO Working Papers 97s-24, CIRANO.

  14. Bolduc, D. & Kaci, M., 1991. "Multinomial Probit Models with Factor-Based Autoregressive Errors: A Computationally Efficient Estimation Approach," Papers 9118, Laval - Recherche en Energie.

    Cited by:

    1. Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986. "Classical estimation methods for LDV models using simulation," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441, Elsevier.
    2. Bolduc, Denis & Kaci, Mustapha, 1993. "Estimation des modèles probit polytomiques : un survol des techniques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 69(3), pages 161-191, septembre.
    3. Vassilis A. Hajivassiliou, 1991. "Simulation Estimation Methods for Limited Dependent Variable Models," Cowles Foundation Discussion Papers 1007, Cowles Foundation for Research in Economics, Yale University.

  15. Ben-Akiva, M. & Bolduc, D., 1991. "The Combined Estimator Approach to Model Transferability and Updating," Papers 9115, Laval - Recherche en Energie.

    Cited by:

    1. Andes Chivangue & Carlos Barros, 2017. "Poverty and Informal Trade," CEsA Working Papers 151, CEsA - Centre for African and Development Studies.

  16. Bolduc, D. & Kaci, M., 1991. "Estimation des Modeles Probit Polytomiques: Un Survol des Techniques," Papers 9127, Laval - Recherche en Energie.

    Cited by:

    1. Ghazouani, S . & Goaied, M., 1992. "Anlyse microéconométrique de la demande de transport urbain pour la ville de tunis," CEPREMAP Working Papers (Couverture Orange) 9203, CEPREMAP.
    2. Anta TA DIAL & Moussa DIENG & Martine AUDIBERT & Jean-Yves LE HESRAN, 2014. "Déterminants de la demande de soins en milieu péri-urbain dans un contexte de subvention à Pikine, Sénégal," Working Papers 201415, CERDI.
    3. Moussa Dieng & Martine Audibert & Jean-Yves Le Hesran & Anta Ta Dial, 2015. "Déterminants de la demande de soins en milieu péri-urbain dans un contexte de subvention à Pikine, Sénégal," CERDI Working papers halshs-01027504, HAL.

  17. Ben-Akiva, M. & Bolduc, D., 1991. "Multinomial Probit with Autoregressive Error Structure," Papers 9123, Laval - Recherche en Energie.

    Cited by:

    1. Denis Bolduc & Bernard Fortin & Stephen Gordon, 1997. "Multinomial Probit Estimation of Spatially Interdependent Choices: An Empirical Comparison of Two New Techniques," International Regional Science Review, , vol. 20(1-2), pages 77-101, April.
    2. Denis Bolduc, "undated". "A Fast Maximum Simulated Likelihood Estimation Technique for NMP Models," Computing in Economics and Finance 1997 155, Society for Computational Economics.
    3. Bolduc, Denis & Kaci, Mustapha, 1993. "Estimation des modèles probit polytomiques : un survol des techniques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 69(3), pages 161-191, septembre.

  18. Bolduc, D., 1990. "Autoregressive Alternatives in the Multinomial Probit Model," Papers 9013, Laval - Recherche en Energie.

    Cited by:

    1. Denis Bolduc, "undated". "A Fast Maximum Simulated Likelihood Estimation Technique for NMP Models," Computing in Economics and Finance 1997 155, Society for Computational Economics.
    2. Kenneth E. Train, 1996. "Simulation Methods for Probit and Related Models Based on Convenient Error Partitioning," Econometrics 9605001, University Library of Munich, Germany.
    3. Liu, Yu-Hsin, 2011. "Incorporating scatter search and threshold accepting in finding maximum likelihood estimates for the multinomial probit model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 130-138, May.
    4. Denis Bolduc & Lynda Khalaf & Clément Yélou, 2005. "Identification Robust Confidence Sets Methods for Inference on Parameter Ratios and their Application to Estimating Value-of-Time," Computing in Economics and Finance 2005 48, Society for Computational Economics.
    5. Liu, Yu-Hsin & Mahmassani, Hani S., 2000. "Global maximum likelihood estimation procedure for multinomial probit (MNP) model parameters," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 419-449, June.

  19. Bolduc, D. & Blum, U.C. & Gaudry, M.J., 1990. "From Correlation To Distributed Contiguities: A Family of AR-C-D Autocorrelation Processes," Cahiers de recherche 9019, Université Laval - Département d'économique.

    Cited by:

    1. Blum Ulrich, 2003. "Borders Matter! - Regional Integration in North America / Grenzen sind bedeutsam! - Regionale Integration Nordamerika," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 223(5), pages 513-531, October.
    2. Marc Gaudry & Emile Quinet, 2015. "Correlation within SNCF administrative regions among track segment maintenance cost equation residuals of a country-wide model," PSE Working Papers halshs-01112249, HAL.
    3. Blum, Ulrich, 2001. "Borders matter!: Regional integration in Europe and North America," Dresden Discussion Paper Series in Economics 08/01, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    4. Marc Gaudry & Emile Quinet, 2015. "Correlation within SNCF administrative regions among track segment maintenance cost equation residuals of a country-wide model," Working Papers halshs-01112249, HAL.
    5. Marc Gaudry & Bernard Lapeyre & Emile Quinet, 2015. "Infrastructure maintenance, regeneration and service quality economics: A rail example," PSE Working Papers halshs-00559637, HAL.

  20. Bolduc, D. & Poole, E., 1989. "Ordinal Probit Model With Random Bounds," Papers 8911, Laval - Laboratoire Econometrie.

    Cited by:

    1. Groot, Wim & Maassen van den Brink, Henriette, 2007. "The health effects of education," Economics of Education Review, Elsevier, vol. 26(2), pages 186-200, April.
    2. Groot, Wim, 2001. "Corrigendum to 'Adaptation and scale of reference bias in self-assessments of quality of life': [Journal of Health Economics 19 (2000) 403-420]," Journal of Health Economics, Elsevier, vol. 20(1), pages 145-145, January.
    3. Hiroshi Gunji & Chie Hanaoka, 2004. "Standard error and confidence interval for QALY weights," Economics Bulletin, AccessEcon, vol. 9(1), pages 1-12.

  21. Bolduc, D. & Dagenais, M.G. & Gaudry, M.J.I., 1988. "Spatially Autocorrelated Errors In Origin-Destination Models: A New Specification Applied To Urban Travel Demand In Winnipeg," Papers 8806, Laval - Recherche en Politique Economique.

    Cited by:

    1. Bolduc, Denis & Laferrière, Richard & Santarossa, Gino, 1993. "Modèle d’explication de flux à composantes d’erreurs spatialement corrélées," L'Actualité Economique, Société Canadienne de Science Economique, vol. 69(3), pages 193-201, septembre.
    2. Vermot-Desroches, Bernard, 1993. "L’économie des transports, un champ novateur, intégrateur et ambitieux," L'Actualité Economique, Société Canadienne de Science Economique, vol. 69(3), pages 213-225, septembre.

  22. Bolduc, D. & Dagenais, M. & Gaudry, M.J.I., 1988. "Spatially Autocorrected Errors In Origin-Destination Models A New Specification Applied To Aggregate Mode Choice," Cahiers de recherche 8811, Centre interuniversitaire de recherche en économie quantitative, CIREQ.

    Cited by:

    1. L W Hepple, 1995. "Bayesian Techniques in Spatial and Network Econometrics: 2. Computational Methods and Algorithms," Environment and Planning A, , vol. 27(4), pages 615-644, April.
    2. Minfeng Deng & George Athanasopoulos, 2009. "Modelling Australian Domestic and International Inbound Travel: a Spatial-Temporal Approach," Monash Econometrics and Business Statistics Working Papers 10/09, Monash University, Department of Econometrics and Business Statistics.
    3. Yongwan Chun, 2008. "Modeling network autocorrelation within migration flows by eigenvector spatial filtering," Journal of Geographical Systems, Springer, vol. 10(4), pages 317-344, December.
    4. Marc Gaudry & Emile Quinet, 2015. "Correlation within SNCF administrative regions among track segment maintenance cost equation residuals of a country-wide model," PSE Working Papers halshs-01112249, HAL.
    5. Jeremy Hackney & Michael Bernard & Sumit Bindra & Kay Axhausen, 2007. "Predicting road system speeds using spatial structure variables and network characteristics," Journal of Geographical Systems, Springer, vol. 9(4), pages 397-417, December.
    6. Kerkman, Kasper & Martens, Karel & Meurs, Henk, 2017. "A multilevel spatial interaction model of transit flows incorporating spatial and network autocorrelation," Journal of Transport Geography, Elsevier, vol. 60(C), pages 155-166.
    7. Marc Gaudry & Emile Quinet, 2015. "Correlation within SNCF administrative regions among track segment maintenance cost equation residuals of a country-wide model," Working Papers halshs-01112249, HAL.
    8. Jourquin, Bart & Beuthe, Michel, 2019. "Cost, transit time and speed elasticity calculations for the European continental freight transport," Transport Policy, Elsevier, vol. 83(C), pages 1-12.
    9. Marc Gaudry & Bernard Lapeyre & Emile Quinet, 2015. "Infrastructure maintenance, regeneration and service quality economics: A rail example," PSE Working Papers halshs-00559637, HAL.
    10. Kerkman, Kasper & Martens, Karel & Meurs, Henk, 2018. "Predicting travel flows with spatially explicit aggregate models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 68-88.

Articles

  1. Bolduc, Denis & Bonin, Sylvie & Lee-Gosselin, Martin, 2013. "A disaggregated tool for evaluation of road safety policies," Research in Transportation Economics, Elsevier, vol. 37(1), pages 79-98.

    Cited by:

    1. Gaudry, Marc & de Lapparent, Matthieu, 2013. "Part 3. Multivariate road safety models: Future research orientations and current use to forecast performance," Research in Transportation Economics, Elsevier, vol. 37(1), pages 38-56.
    2. Coria, Jessica & Bonilla, Jorge & Grundström, Maria & Pleijel, Håkan, 2015. "Air pollution dynamics and the need for temporally differentiated road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 178-195.
    3. Gaudry, Marc & de Lapparent, Matthieu, 2013. "Part 2. Beyond single-outcome models: Decompositions of aggregate and disaggregate road safety risk," Research in Transportation Economics, Elsevier, vol. 37(1), pages 20-37.

  2. Ricardo Daziano & Denis Bolduc, 2013. "Covariance, identification, and finite-sample performance of the MSL and Bayes estimators of a logit model with latent attributes," Transportation, Springer, vol. 40(3), pages 647-670, May.

    Cited by:

    1. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    2. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    3. Akshay Vij & Joan L. Walker, 2014. "Hybrid choice models: the identification problem," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 22, pages 519-564, Edward Elgar Publishing.
    4. Bouscasse, H., 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers 2018-07, Grenoble Applied Economics Laboratory (GAEL).
    5. Chae, Dasol & Jung, Jaeyoung & Sohn, Keemin, 2018. "Facilitating an expectation-maximization (EM) algorithm to solve an integrated choice and latent variable (ICLV) model with fully correlated latent variables," Journal of choice modelling, Elsevier, vol. 26(C), pages 64-79.
    6. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    7. Hélène Bouscasse, 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers hal-01795630, HAL.
    8. Xuemei Fu & Zhicai Juan, 2017. "Estimation of multinomial probit-kernel integrated choice and latent variable model: comparison on one sequential and two simultaneous approaches," Transportation, Springer, vol. 44(1), pages 91-116, January.
    9. Schmid, Basil & Axhausen, Kay W., 2019. "In-store or online shopping of search and experience goods: A hybrid choice approach," Journal of choice modelling, Elsevier, vol. 31(C), pages 156-180.
    10. Daziano, Ricardo A. & Chiew, Esther, 2012. "Electric vehicles rising from the dead: Data needs for forecasting consumer response toward sustainable energy sources in personal transportation," Energy Policy, Elsevier, vol. 51(C), pages 876-894.
    11. Rose, John M. & Hensher, David A., 2018. "User satisfaction with taxi and limousine services in the Melbourne metropolitan area," Journal of Transport Geography, Elsevier, vol. 70(C), pages 234-245.

  3. Takeshi Kurosawa & Denis Bolduc & Moshe Ben-Akiva & Akiya Inoue & Ken Nishimatsu & Motoi Iwashita, 2011. "Demand Analysis by Modeling Choice of Internet Access and IP Telephony," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 3(3), pages 1-26, July.

    Cited by:

    1. Daziano, Ricardo A. & Chiew, Esther, 2012. "Electric vehicles rising from the dead: Data needs for forecasting consumer response toward sustainable energy sources in personal transportation," Energy Policy, Elsevier, vol. 51(C), pages 876-894.

  4. Bernard, Jean-Thomas & Bolduc, Denis & Yameogo, Nadège-Désirée, 2011. "A pseudo-panel data model of household electricity demand," Resource and Energy Economics, Elsevier, vol. 33(1), pages 315-325, January.

    Cited by:

    1. Hung, Ming-Feng & Huang, Tai-Hsin, 2015. "Dynamic demand for residential electricity in Taiwan under seasonality and increasing-block pricing," Energy Economics, Elsevier, vol. 48(C), pages 168-177.
    2. Ye, Yuxiang & Koch, Steven F. & Zhang, Jiangfeng, 2018. "Determinants of household electricity consumption in South Africa," Energy Economics, Elsevier, vol. 75(C), pages 120-133.
    3. Li, Lanlan & Gong, Chengzhu & Wang, Deyun & Zhu, Kejun, 2013. "Multi-agent simulation of the time-of-use pricing policy in an urban natural gas pipeline network: A case study of Zhengzhou," Energy, Elsevier, vol. 52(C), pages 37-43.
    4. Du, Xuyang & Mohd, Saidatulakmal, 2024. "Urban–Rural heterogeneity in the effect of population ageing on the savings rate of urban and rural households in China," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 999-1010.
    5. Will Gans & Anna Alberini & Alberto Longo, 2011. "Smart Meter Devices and The Effect of Feedback on Residential Electricity Consumption: Evidence from a Natural Experiment in Northern Ireland," Working Papers 2011.36, Fondazione Eni Enrico Mattei.
    6. Olivier Damette & Philippe Delacote & Gaye Del Lo, 2018. "Households energy consumption and transition toward cleaner energy sources," Post-Print hal-01762610, HAL.
    7. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
    8. Randazzo, Teresa & De Cian, Enrica & Mistry, Malcolm N., 2020. "Air conditioning and electricity expenditure: The role of climate in temperate countries," Economic Modelling, Elsevier, vol. 90(C), pages 273-287.
    9. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential consumption of gas and electricity in the U.S.: The role of prices and income," Energy Economics, Elsevier, vol. 33(5), pages 870-881, September.
    10. Jacopo Torriti & Philipp Grunewald, 2014. "Demand Side Response: Patterns in Europe and Future Policy Perspectives under Capacity Mechanisms," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    11. Desiderio Romero-Jordán & Pablo Del Río & Cristina Peñasco, 2015. "An analysis of the welfare and distributive implications of factors influencing household electricity consumption," Working Papers 1503, Instituto de Políticas y Bienes Públicos (IPP), CSIC.
    12. Frondel, Manuel & Kussel, Gerhard & Sommer, Stephan, 2019. "Heterogeneity in the price response of residential electricity demand: A dynamic approach for Germany," Resource and Energy Economics, Elsevier, vol. 57(C), pages 119-134.
    13. Salomé Bakaloglou & Dorothée Charlier, 2018. "Energy Consumption in the French Residential Sector: How Much Do Individual Preferences Matter?," Working Papers 1803, Chaire Economie du climat.
    14. Kiran B Krishnamurthy, Chandra & Kriström, Bengt, 2013. "A cross-country analysis of residential electricity demand in 11 OECD-countries," CERE Working Papers 2013:5, CERE - the Center for Environmental and Resource Economics, revised 30 Jun 2014.
    15. Feuerriegel, Stefan & Neumann, Dirk, 2014. "Measuring the financial impact of demand response for electricity retailers," Energy Policy, Elsevier, vol. 65(C), pages 359-368.
    16. Torriti, Jacopo, 2012. "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy," Energy, Elsevier, vol. 44(1), pages 576-583.
    17. Shahbaz, Muhammad & Zakaria, Muhammad & Shahzad, Syed Jawad Hussain & Mahalik, Mantu Kumar, 2018. "The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach," Energy Economics, Elsevier, vol. 71(C), pages 282-301.
    18. Mathilde Aubouin, 2023. "Determinants of the Digital Divide: Evidence from France," Annals of Economics and Statistics, GENES, issue 151, pages 37-80.
    19. Rossella Bardazzi & Maria Grazia Pazienza & Maria Eugenia Sanin, 2021. "Life-cycle Characteristics and Energy Practices in Developing Countries: the Case of Mexico," Working Papers - Economics wp2021_11.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    20. Fullerton Jr., Thomas M. & Macias, David R. & Walke, Adam G., 2016. "Residential Electricity Demand in El Paso," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(2), December.
    21. Matsumoto, Shigeru, 2023. "The effects of carbon taxes on the welfare of households using multiple energy sources," Energy Economics, Elsevier, vol. 126(C).
    22. Yancy Vaillant & Esteban Lafuente & Manoj Chandra Bayon, 2019. "Early internationalization patterns and export market persistence: a pseudo-panel data analysis," Small Business Economics, Springer, vol. 53(3), pages 669-686, October.
    23. Dorothée Charlier & Sondès Kahouli, 2018. "From residential energy demand to fuel poverty: income-induced non-linearities in the reactions of households to energy price fluctuations," Working Papers 2018.11, FAERE - French Association of Environmental and Resource Economists.
    24. John T. Cuddington and Leila Dagher, 2015. "Estimating Short and Long-Run Demand Elasticities: A Primer with Energy-Sector Applications," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    25. Li, Chuan-Zhong & Wei, Chu & Yu, Yang, 2020. "Income threshold, household appliance ownership and residential energy consumption in urban China," China Economic Review, Elsevier, vol. 60(C).
    26. Mark Miller & Anna Alberini, 2015. "Sensitivity of price elasticity of demand to aggregation, unobserved heterogeneity, price trends, and price endogeneity: Evidence from U.S. Data," CER-ETH Economics working paper series 15/223, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    27. Pellini, Elisabetta, 2021. "Estimating income and price elasticities of residential electricity demand with Autometrics," Energy Economics, Elsevier, vol. 101(C).
    28. Fateh Belaïd & Christophe Rault & Camille Massié, 2021. "A life-cycle theory analysis of French household electricity demand," Post-Print hal-03271505, HAL.
    29. Alcantara da Silva Neto, Waldemiro & Vaz Lobo Bittencourt, Mauricio & Eduardo Monsueto, Sandro, 2024. "Addressing low-quality electricity service for low-income consumers: Empirical evidence from Brazil," Utilities Policy, Elsevier, vol. 88(C).
    30. Charlier, Dorothée & Legendre, Bérangère & Ricci, Olivia, 2021. "Measuring fuel poverty in tropical territories: A latent class model," World Development, Elsevier, vol. 140(C).
    31. Çetinkaya, Murat & Başaran, Alparslan A. & Bağdadioğlu, Necmiddin, 2015. "Electricity reform, tariff and household elasticity in Turkey," Utilities Policy, Elsevier, vol. 37(C), pages 79-85.
    32. Li-Ling Peng & Guo-Feng Fan & Min-Liang Huang & Wei-Chiang Hong, 2016. "Hybridizing DEMD and Quantum PSO with SVR in Electric Load Forecasting," Energies, MDPI, vol. 9(3), pages 1-20, March.
    33. Jia, Jun-Jun & Guo, Jin & Wei, Chu, 2021. "Elasticities of residential electricity demand in China under increasing-block pricing constraint: New estimation using household survey data," Energy Policy, Elsevier, vol. 156(C).
    34. Feehan, James P., 2018. "The long-run price elasticity of residential demand for electricity: Results from a natural experiment," Utilities Policy, Elsevier, vol. 51(C), pages 12-17.
    35. Zhiming Qiu & Chanjin Chung, 2017. "Effects of Food Assistance Programs, Demographic Characteristics, and Living Environments on Children¡¯s Food Insecurity," Applied Economics and Finance, Redfame publishing, vol. 4(4), pages 145-159, July.
    36. Csereklyei, Zsuzsanna, 2020. "Price and income elasticities of residential and industrial electricity demand in the European Union," Energy Policy, Elsevier, vol. 137(C).
    37. Sailan Hu & Rongrong Li, 2021. "Investigating the Effects of the United States’ Economic Slowdown Related to the COVID-19 Pandemic on Energy Consumption in Other Countries—A Global Vector Autoregressive Model," Energies, MDPI, vol. 14(11), pages 1-25, May.
    38. Anna Risch & Claire Salmon, 2013. "What matters in Residential Energy Consumption? Evidence from France," Working Papers hal-01081953, HAL.
    39. Lavin, Felipe Vasquez & Bratti, Luna & Orrego, Sergio & Barrientos, Manuel, 2020. "Assessing the Use of Pseudo-panels to Estimate the Value of Statistical Life in Developing Countries," EfD Discussion Paper 20-20, Environment for Development, University of Gothenburg.
    40. Rossella Bardazzi & Maria Grazia Pazienza & Maria Eugenia Sanin, 2022. "Energy practices and population cohorts: the case of Mexico," SN Business & Economics, Springer, vol. 2(11), pages 1-22, November.
    41. Torriti, Jacopo, 2013. "The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model," Utilities Policy, Elsevier, vol. 27(C), pages 49-56.
    42. Lundgren, Berndt & Schultzberg, Mårten, 2019. "Application of the economic theory of self-control to model energy conservation behavioral change in households," Working Paper Series 19/1, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    43. Salari, Mahmoud & Javid, Roxana J., 2017. "Modeling household energy expenditure in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 822-832.
    44. Guo-Feng Fan & Shan Qing & Hua Wang & Wei-Chiang Hong & Hong-Juan Li, 2013. "Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting," Energies, MDPI, vol. 6(4), pages 1-15, April.
    45. Anderson, Ben & Torriti, Jacopo, 2018. "Explaining shifts in UK electricity demand using time use data from 1974 to 2014," Energy Policy, Elsevier, vol. 123(C), pages 544-557.
    46. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.
    47. Romero-Jordán, Desiderio & del Río, Pablo, 2022. "Analysing the drivers of the efficiency of households in electricity consumption," Energy Policy, Elsevier, vol. 164(C).
    48. Ciabattoni, Lucio & Grisostomi, Massimo & Ippoliti, Gianluca & Longhi, Sauro, 2014. "Fuzzy logic home energy consumption modeling for residential photovoltaic plant sizing in the new Italian scenario," Energy, Elsevier, vol. 74(C), pages 359-367.
    49. Silva, Susana & Soares, Isabel & Pinho, Carlos, 2017. "Electricity demand response to price changes: The Portuguese case taking into account income differences," Energy Economics, Elsevier, vol. 65(C), pages 335-342.
    50. Fateh Belaïd & Christophe Rault & Camille Massié, 2021. "A Life-Cycle Analysis of French Household Electricity Demand," CESifo Working Paper Series 8814, CESifo.
    51. Chi-Hong (Patrick) Tsai & Corinne Mulley & Geoffrey Clifton, 2014. "A Review of Pseudo Panel Data Approach in Estimating Short-run and Long-run Public Transport Demand Elasticities," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 102-121, January.
    52. Krishnamurthy, Chandra Kiran B. & Kriström, Bengt, 2015. "A cross-country analysis of residential electricity demand in 11 OECD-countries," Resource and Energy Economics, Elsevier, vol. 39(C), pages 68-88.
    53. Aslam, Misbah & Ahmad, Eatzaz, 2023. "Untangling electricity demand elasticities: Insights from heterogeneous household groups in Pakistan," Energy, Elsevier, vol. 282(C).
    54. Kostakis, Ioannis & Lolos, Sarantis & Sardianou, Eleni, 2021. "Residential natural gas demand: Assessing the evidence from Greece using pseudo-panels, 2012–2019," Energy Economics, Elsevier, vol. 99(C).
    55. Miller, Mark & Alberini, Anna, 2016. "Sensitivity of price elasticity of demand to aggregation, unobserved heterogeneity, price trends, and price endogeneity: Evidence from U.S. Data," Energy Policy, Elsevier, vol. 97(C), pages 235-249.
    56. Jia, Jun-Jun & Ni, Jinlan & Wei, Chu, 2023. "Residential responses to service-specific electricity demand: Case of China," China Economic Review, Elsevier, vol. 78(C).

  5. Stephane Hess & Denis Bolduc & John Polak, 2010. "Random covariance heterogeneity in discrete choice models," Transportation, Springer, vol. 37(3), pages 391-411, May.
    See citations under working paper version above.
  6. Philippe Barla & Denis Bolduc & Nathalie Boucher & Jonathan Watters, 2010. "Information technology and efficiency in trucking," Canadian Journal of Economics, Canadian Economics Association, vol. 43(1), pages 254-279, February.
    See citations under working paper version above.
  7. Bolduc, Denis & Khalaf, Lynda & Yélou, Clément, 2010. "Identification robust confidence set methods for inference on parameter ratios with application to discrete choice models," Journal of Econometrics, Elsevier, vol. 157(2), pages 317-327, August.

    Cited by:

    1. Marie-Claude Beaulieu & Jean-Marie Dufour & Lynda Khalaf, 2020. "Arbitrage Pricing, Weak Beta, Strong Beta: Identification-Robust and Simultaneous Inference," CIRANO Working Papers 2020s-30, CIRANO.
    2. W. Robert Reed & Min Zhu, 2015. "On Estimating Long-Run Effects in Models with Lagged Dependent Variables," Working Papers in Economics 15/18, University of Canterbury, Department of Economics and Finance.
    3. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    4. Luger, Richard, 2012. "Finite-sample bootstrap inference in GARCH models with heavy-tailed innovations," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3198-3211.
    5. Jean-Thomas Bernard & Michael Gavin & Lynda Khalaf & Marcel Voia, 2011. "The Environmental Kuznets Curve: Tipping Points, Uncertainty and Weak Identification," Cahiers de recherche CREATE 2011-4, CREATE.
    6. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2014. "Exact confidence sets and goodness-of-fit methods for stable distributions," Journal of Econometrics, Elsevier, vol. 181(1), pages 3-14.
    7. Lukas Leitner, 2024. "Imprecision in the Estimation of Willingness to Pay Using Subjective Well-Being Data," Journal of Happiness Studies, Springer, vol. 25(7), pages 1-40, October.
    8. Jean Thomas Bernard & Ba Chu & Lynda Khalaf & Marcel Voia, 2019. "Non-Standard Confidence Sets for Ratios and Tipping Points with Applications to Dynamic Panel Data," Post-Print hal-03549991, HAL.
    9. John K. Dagsvik & Tom Kornstad & Terje Skjerpen, 2010. "Labor force participation and the discouraged worker effect," Discussion Papers 642, Statistics Norway, Research Department.
    10. Jean-Marie Dufour & Emmanuel Flachaire & Lynda Khalaf & Abdallah Zalghout, 2020. "Identification-robust Inequality Analysis," CIRANO Working Papers 2020s-23, CIRANO.
    11. J. Stephen Ferris & Marcel-Cristian Voia, 2014. "The Effect of Federal Government Size on Private Economic Performance in Canada: 1870–2011," Carleton Economic Papers 14-01, Carleton University, Department of Economics.
    12. Daziano, Ricardo A. & Achtnicht, Martin, 2014. "Accounting for uncertainty in willingness to pay for environmental benefits," Energy Economics, Elsevier, vol. 44(C), pages 166-177.
    13. Gatta, Valerio & Marcucci, Edoardo & Scaccia, Luisa, 2015. "On finite sample performance of confidence intervals methods for willingness to pay measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 169-192.
    14. Khalaf, Lynda & Urga, Giovanni, 2014. "Identification robust inference in cointegrating regressions," Journal of Econometrics, Elsevier, vol. 182(2), pages 385-396.
    15. Daziano, Ricardo A., 2013. "Conditional-logit Bayes estimators for consumer valuation of electric vehicle driving range," Resource and Energy Economics, Elsevier, vol. 35(3), pages 429-450.

  8. Bolduc, Denis & Khalaf, Lynda & Moyneur, Érick, 2008. "Identification-robust simulation-based inference in joint discrete/continuous models for energy markets," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3148-3161, February.

    Cited by:

    1. Sandberg, Susanne & Sui, Sui & Baum, Matthias, 2019. "Effects of prior market experiences and firm-specific resources on developed economy SMEs' export exit from emerging markets: Complementary or compensatory?," Journal of Business Research, Elsevier, vol. 98(C), pages 489-502.
    2. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2010. "On the precision of Calvo parameter estimates in structural NKPC models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1582-1595, September.
    3. Bijwaard, Govert E. & Franses, Philip Hans, 2009. "The effect of rounding on payment efficiency," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1449-1461, February.
    4. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2010. "Estimation uncertainty in structural inflation models with real wage rigidities," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2554-2561, November.
    5. Jean-Marie Dufour & Lynda Khalaf & Maral Kichian, 2009. "Structural Inflation Models with Real Wage Rigidities: The Case of Canada," Staff Working Papers 09-21, Bank of Canada.
    6. Horatio M. Morgan & Sui Sui & Shavin Malhotra, 2021. "No place like home: The effect of exporting to the country of origin on the financial performance of immigrant-owned SMEs," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(3), pages 504-524, April.
    7. Morgan, Horatio M. & Sui, Sui & Baum, Matthias, 2018. "Are SMEs with immigrant owners exceptional exporters?," Journal of Business Venturing, Elsevier, vol. 33(3), pages 241-260.
    8. Lin, Boqiang & Chen, Xing, 2018. "Is the implementation of the Increasing Block Electricity Prices policy really effective?--- Evidence based on the analysis of synthetic control method," Energy, Elsevier, vol. 163(C), pages 734-750.
    9. Zhang, Zibin & Cai, Wenxin & Feng, Xiangzhao, 2017. "How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach," Energy Policy, Elsevier, vol. 105(C), pages 161-172.
    10. Sui Sui & Matthias Baum & Shavin Malhotra, 2019. "How Home-Peers Affect the Export Market Exit of Small Firms: Evidence From Canadian Exporters," Entrepreneurship Theory and Practice, , vol. 43(5), pages 1018-1045, September.
    11. Ziliang Deng & Ruey-Jer Bryan Jean & Rudolf R. Sinkovics, 2017. "Polarizing Effects of Early Exporting on Exit," Management International Review, Springer, vol. 57(2), pages 243-275, April.

  9. Bierlaire, M. & Bolduc, D. & McFadden, D., 2008. "The estimation of generalized extreme value models from choice-based samples," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 381-394, May.

    Cited by:

    1. Smirnov, Oleg A. & Egan, Kevin J., 2012. "Spatial random utility model with an application to recreation demand," Economic Modelling, Elsevier, vol. 29(1), pages 72-78.
    2. Frejinger, E. & Bierlaire, M. & Ben-Akiva, M., 2009. "Sampling of alternatives for route choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 43(10), pages 984-994, December.
    3. Hindsley, Paul & Landry, Craig E. & Gentner, Brad, 2011. "Addressing onsite sampling in recreation site choice models," Journal of Environmental Economics and Management, Elsevier, vol. 62(1), pages 95-110, July.
    4. Crawford, Gregory S. & Griffith, Rachel & Iaria, Alessandro, 2021. "A survey of preference estimation with unobserved choice set heterogeneity," Journal of Econometrics, Elsevier, vol. 222(1), pages 4-43.
    5. Rico Krueger & Michel Bierlaire & Prateek Bansal, 2022. "A Data Fusion Approach for Ride-sourcing Demand Estimation: A Discrete Choice Model with Sampling and Endogeneity Corrections," Papers 2212.02178, arXiv.org.
    6. Lurkin, Virginie & Garrow, Laurie A. & Higgins, Matthew J. & Newman, Jeffrey P. & Schyns, Michael, 2017. "Accounting for price endogeneity in airline itinerary choice models: An application to Continental U.S. markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 228-246.
    7. Andrew Daly, 2013. "Forecasting behaviour: with applications to transport," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 2, pages 48-72, Edward Elgar Publishing.
    8. Fosgerau, Mogens & McFadden, Daniel & Bierlaire, Michel, 2010. "Choice probability generating functions," MPRA Paper 24214, University Library of Munich, Germany.
    9. Lemp, Jason D. & Kockelman, Kara M., 2012. "Strategic sampling for large choice sets in estimation and application," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 602-613.
    10. Koichi Kuriyama & James Hilger & Michael Hanemann, 2013. "A Random Parameter Model with Onsite Sampling for Recreation Site Choice: An Application to Southern California Shoreline Sportfishing," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(4), pages 481-497, December.
    11. Phuc Hai Hoang & Shengchuan Zhao & Siv Eng Houn, 2019. "Motorcycle Drivers’ Parking Lot Choice Behaviors in Developing Countries: Analysis to Identify Influence Factors," Sustainability, MDPI, vol. 11(9), pages 1-15, April.
    12. C. Angelo Guevara & Caspar G. Chorus & Moshe E. Ben-Akiva, 2016. "Sampling of Alternatives in Random Regret Minimization Models," Transportation Science, INFORMS, vol. 50(1), pages 306-321, February.
    13. Brian Lee & Paul Waddell, 2010. "Residential mobility and location choice: a nested logit model with sampling of alternatives," Transportation, Springer, vol. 37(4), pages 587-601, July.
    14. Christopher Ksoll, 2007. "Family Networks and Orphan Caretaking in Tanzania," Economics Series Working Papers 361, University of Oxford, Department of Economics.
    15. Andrew Daly, 2014. "Forecasting choice," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 25, pages 627-646, Edward Elgar Publishing.
    16. Federica Rossi & Magdalena Dej, 2020. "Where do firms relocate? Location optimisation within and between Polish metropolitan areas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(3), pages 615-640, June.
    17. Elisabetta Strazzera & Elisabetta Cherchi & Silvia Ferrini, 2010. "Assessment of Regeneration Projects in Urban Areas of Environmental Interest: A Stated Choice Approach to Estimate Use and Quasi-Option Values," Environment and Planning A, , vol. 42(2), pages 452-468, February.
    18. Abay, Kibrom A., 2015. "Investigating the nature and impact of reporting bias in road crash data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 31-45.
    19. Balz R. Bodenmann, 2011. "Modelling firm (re-)location choice in UrbanSim," ERSA conference papers ersa11p1091, European Regional Science Association.
    20. Lai, Xinjun & Bierlaire, Michel, 2015. "Specification of the cross-nested logit model with sampling of alternatives for route choice models," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 220-234.
    21. Kelchtermans, Stijn & Verboven, Frank, 2007. "Reducing product diversity in higher education," Working Papers 2007/14, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    22. Pereira, Pedro & Ribeiro, Tiago & Vareda, João, 2013. "Delineating markets for bundles with consumer level data: The case of triple-play," International Journal of Industrial Organization, Elsevier, vol. 31(6), pages 760-773.
    23. Stijn Kelchtermans & Frank Verboven, 2010. "Participation and study decisions in a public system of higher education," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 355-391.
    24. Griffith, Rachel & Crawford, Gregory & Iaria, Alessandro, 2016. "Preference Estimation with Unobserved Choice Set Heterogeneity using Sufficient Sets," CEPR Discussion Papers 11675, C.E.P.R. Discussion Papers.
    25. Kelchtermans, Stijn & Verboven, Frank, 2010. "Program duplication in higher education is not necessarily bad," Journal of Public Economics, Elsevier, vol. 94(5-6), pages 397-409, June.
    26. Hamzeh Alizadeh & Bilal Farooq & Catherine Morency & Nicolas Saunier, 2018. "On the role of bridges as anchor points in route choice modeling," Transportation, Springer, vol. 45(5), pages 1181-1206, September.
    27. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2015. "Accommodating taste heterogeneity and desired substitution pattern in exit choices of pedestrian crowd evacuees using a mixed nested logit model," Journal of choice modelling, Elsevier, vol. 16(C), pages 58-68.
    28. Mepparambath, Rakhi Manohar & Soh, Yong Sheng & Jayaraman, Vasundhara & Tan, Hong En & Ramli, Muhamad Azfar, 2023. "A novel modelling approach of integrated taxi and transit mode and route choice using city-scale emerging mobility data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    29. Newman, Jeffrey P. & Ferguson, Mark E. & Garrow, Laurie A., 2013. "Estimating GEV models with censored data," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 170-184.
    30. Mohammad Nurul Hassan & Taha Hossein Rashidi & Neema Nassir, 2021. "Consideration of different travel strategies and choice set sizes in transit path choice modelling," Transportation, Springer, vol. 48(2), pages 723-746, April.
    31. Guevara, C. Angelo & Ben-Akiva, Moshe E., 2013. "Sampling of alternatives in Multivariate Extreme Value (MEV) models," Transportation Research Part B: Methodological, Elsevier, vol. 48(C), pages 31-52.

  10. Joan L. Walker & Moshe Ben-Akiva & Denis Bolduc, 2007. "Identification of parameters in normal error component logit-mixture (NECLM) models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1095-1125.

    Cited by:

    1. Matthieu De Lapparent & Moshe Ben-Akiva, 2014. "Risk Aversion in Travel Mode Choice with Rank-Dependent Utility," Mathematical Population Studies, Taylor & Francis Journals, vol. 21(4), pages 189-204, December.
    2. Schmid, Basil & Jokubauskaite, Simona & Aschauer, Florian & Peer, Stefanie & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2019. "A pooled RP/SP mode, route and destination choice model to investigate mode and user-type effects in the value of travel time savings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 262-294.
    3. Batarce, Marco & Ivaldi, Marc, 2010. "Travel Demand Model with Heterogeneous Users and Endogenous Congestion: An application to optimal pricing of bus services," TSE Working Papers 10-226, Toulouse School of Economics (TSE), revised Apr 2011.
    4. Yuki Oyama & Daisuke Fukuda & Naoto Imura & Katsuhiro Nishinari, 2022. "E-commerce users' preferences for delivery options," Papers 2301.00666, arXiv.org, revised Aug 2023.
    5. Bekhor, Shlomo & Prato, Carlo Giacomo, 2009. "Methodological transferability in route choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 43(4), pages 422-437, May.
    6. Stephane Hess, 2014. "Latent class structures: taste heterogeneity and beyond," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 14, pages 311-330, Edward Elgar Publishing.
    7. Joan Walker & Jieping Li, 2007. "Latent lifestyle preferences and household location decisions," Journal of Geographical Systems, Springer, vol. 9(1), pages 77-101, April.
    8. Nicolet, Anna & Perraudin, Clémence & Krucien, Nicolas & Wagner, Joël & Peytremann-Bridevaux, Isabelle & Marti, Joachim, 2023. "Preferences of older adults for healthcare models designed to improve care coordination: Evidence from Western Switzerland," Health Policy, Elsevier, vol. 132(C).
    9. Capurso, Mauro & Hess, Stephane & Dekker, Thijs, 2019. "Modelling the role of consideration of alternatives in mode choice: An application on the Rome-Milan corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 170-184.
    10. Ma, Chunbo & Burton, Michael, 2016. "Warm glow from green power: Evidence from Australian electricity consumers," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 106-120.
    11. Francisco J. Bahamonde-Birke & Juan de Dios Ortúzar, 2015. "About the Categorization of Latent Variables in Hybrid Choice Models," Discussion Papers of DIW Berlin 1527, DIW Berlin, German Institute for Economic Research.
    12. Song, Fangqing & Hess, Stephane & Dekker, Thijs, 2018. "Accounting for the impact of variety-seeking: Theory and application to HSR-air intermodality in China," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 99-111.
    13. Guevara, C. Angelo, 2015. "Critical assessment of five methods to correct for endogeneity in discrete-choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 240-254.
    14. Takanori Sakai & B. K. Bhavathrathan & André Alho & Tetsuro Hyodo & Moshe Ben-Akiva, 2020. "Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model," Transportation, Springer, vol. 47(2), pages 997-1025, April.
    15. Francisco J. Bahamonde-Birke, 2015. "Does Transport Behavior Influence Preferences for Elektromobility? An Analysis Based on Person- and Alternative-Specific Error Components," Discussion Papers of DIW Berlin 1529, DIW Berlin, German Institute for Economic Research.
    16. Ji, Yongjie & Herriges, Joseph A. & Kling, Catherine, 2016. "Modeling Recreation Demand When the Access Point Is Unknown," ISU General Staff Papers 201601010800001559, Iowa State University, Department of Economics.
    17. Kolarova, Viktoriya & Steck, Felix & Bahamonde-Birke, Francisco J., 2019. "Assessing the effect of autonomous driving on value of travel time savings: A comparison between current and future preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 155-169.
    18. Chiou, Lesley & Walker, Joan L., 2007. "Masking identification of discrete choice models under simulation methods," Journal of Econometrics, Elsevier, vol. 141(2), pages 683-703, December.
    19. Mónica Hernández Alava & John Brazier & Donna Rowen & Aki Tsuchiya, 2013. "Common Scale Valuations across Different Preference-Based Measures," Medical Decision Making, , vol. 33(6), pages 839-852, August.
    20. Kettlewell, Nathan & Walker, Matthew J. & Yoo, Hong Il, 2024. "Alternative Models of Preference Heterogeneity for Elicited Choice Probabilities," IZA Discussion Papers 16821, Institute of Labor Economics (IZA).
    21. Thorhauge, Mikkel & Cherchi, Elisabetta & Rich, Jeppe, 2016. "How flexible is flexible? Accounting for the effect of rescheduling possibilities in choice of departure time for work trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 177-193.
    22. de Lapparent, M., & Axhausen , K.W. & Frei, A., 2013. "Long distance mode choice and distributions of values of travel time savings in three European countries," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 53, pages 1-7.
    23. Elisabetta Cherchi & Juan de Dios Ortúzar, 2011. "On the Use of Mixed RP/SP Models in Prediction: Accounting for Systematic and Random Taste Heterogeneity," Transportation Science, INFORMS, vol. 45(1), pages 98-108, February.
    24. Ji, Yongjie, 2013. "Three Essays in Non-market Valuation and Energy Economics," ISU General Staff Papers 201301010800004408, Iowa State University, Department of Economics.
    25. Mikkel Thorhauge & Akshay Vij & Elisabetta Cherchi, 2021. "Heterogeneity in departure time preferences, flexibility and schedule constraints," Transportation, Springer, vol. 48(4), pages 1865-1893, August.
    26. Rosa Marina González & Concepción Román & Francisco Javier Amador & Luis Ignacio Rizzi & Juan de Dios Ortúzar & Raquel Espino & Juan Carlos Martín & Elisabetta Cherchi, 2018. "Estimating the value of risk reductions for car drivers when pedestrians are involved: a case study in Spain," Transportation, Springer, vol. 45(2), pages 499-521, March.
    27. Raphael Piendl & Martin Koning & François Combes & Gernot Liedtke, 2022. "Building latent segments of goods to improve shipment size modeling: Confirmatory evidence from France," Post-Print hal-04117547, HAL.
    28. Tinessa, Fiore, 2021. "Closed-form random utility models with mixture distributions of random utilities: Exploring finite mixtures of qGEV models," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 262-288.
    29. Ghader, Sepehr & Carrion, Carlos & Zhang, Lei, 2019. "Autoregressive continuous logit: Formulation and application to time-of-day choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 240-257.
    30. Bolduc, Denis & Khalaf, Lynda & Yélou, Clément, 2010. "Identification robust confidence set methods for inference on parameter ratios with application to discrete choice models," Journal of Econometrics, Elsevier, vol. 157(2), pages 317-327, August.
    31. Oyama, Yuki & Fukuda, Daisuke & Imura, Naoto & Nishinari, Katsuhiro, 2024. "Do people really want fast and precisely scheduled delivery? E-commerce customers' valuations of home delivery timing," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    32. Guevara, C. Angelo & Ben-Akiva, Moshe E., 2013. "Sampling of alternatives in Logit Mixture models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 185-198.
    33. Alexander Mosthaf, 2014. "Do Scarring Effects of Low-Wage Employment and Non-Employment Differ BETWEEN Levels of Qualification?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(2), pages 154-177, May.
    34. Fangqing Song & Stephane Hess & Thijs Dekker, 2024. "Uncovering the link between intra-individual heterogeneity and variety seeking: the case of new shared mobility," Transportation, Springer, vol. 51(2), pages 371-406, April.
    35. Yi, DongGyu, 2014. "Three studies on environmental valuation," ISU General Staff Papers 201401010800005065, Iowa State University, Department of Economics.
    36. Pierpaolo De Blasi & Lancelot F. James & John W. Lau, 2007. "Bayesian Nonparametric Estimation and Consistency of Mixed Multinomial Logit Choice Models," ICER Working Papers - Applied Mathematics Series 15-2007, ICER - International Centre for Economic Research.
    37. Laura Mørch Andersen, 2013. "Obtaining reliable Likelihood Ratio tests from simulated likelihood functions," IFRO Working Paper 2013/1, University of Copenhagen, Department of Food and Resource Economics.
    38. Marije Schaafsma & Roy Brouwer, 2020. "Substitution Effects in Spatial Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 323-349, February.
    39. Dekker, Thijs & Hess, Stephane & Arentze, Theo & Chorus, Caspar, 2014. "Incorporating needs-satisfaction in a discrete choice model of leisure activities," Journal of Transport Geography, Elsevier, vol. 38(C), pages 66-74.
    40. Szép, Teodóra & van Cranenburgh, Sander & Chorus, Caspar G., 2022. "Decision Field Theory: Equivalence with probit models and guidance for identifiability," Journal of choice modelling, Elsevier, vol. 45(C).
    41. Bahamonde-Birke, Francisco J. & Hanappi, Tibor, 2016. "The potential of electromobility in Austria: Evidence from hybrid choice models under the presence of unreported information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 30-41.
    42. Joan L. Walker & Moshe Ben-Akiva, 2011. "Advances in Discrete Choice: Mixture Models," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 8, Edward Elgar Publishing.
    43. Krueger, Rico & Daziano, Ricardo A., 2022. "Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral," Journal of choice modelling, Elsevier, vol. 45(C).
    44. I. G. Ukpong & K. G. Balcombe & I. M. Fraser & F. J. Areal, 2019. "Preferences for Mitigation of the Negative Impacts of the Oil and Gas Industry in the Niger Delta Region of Nigeria," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 811-843, October.
    45. Francisco J. Bahamonde-Birke & Tibor Hanappi, 2015. "The Potential of Electromobility in Austria: An Analysis Based on Hybrid Choice Models," Discussion Papers of DIW Berlin 1472, DIW Berlin, German Institute for Economic Research.
    46. Thorhauge, Mikkel & Swait, Joffre & Cherchi, Elisabetta, 2020. "The habit-driven life: Accounting for inertia in departure time choices for commuting trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 272-289.
    47. Ying, Jiahui & Shonkwiler, Vanessa P. & Campbell, Benjamin L., 2018. "Willingness to Pay or Not to Pay: Valuing Foods Some Respondents Find Distasteful," 2018 Annual Meeting, August 5-7, Washington, D.C. 274065, Agricultural and Applied Economics Association.
    48. Francisco J. Bahamonde-Birke & Juan de Dios Ortúzar, 2015. "Analyzing the Continuity of Attitudinal and Perceptional Indicators in Hybrid Choice Models," Discussion Papers of DIW Berlin 1528, DIW Berlin, German Institute for Economic Research.
    49. Batarce, Marco & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2016. "Valuing crowding in public transport: Implications for cost-benefit analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 358-378.
    50. Vondolia, Godwin K. & Navrud, Ståle, 2019. "Are non-monetary payment modes more uncertain for stated preference elicitation in developing countries?," Journal of choice modelling, Elsevier, vol. 30(C), pages 73-87.
    51. Bolduc, Denis & Khalaf, Lynda & Moyneur, Érick, 2008. "Identification-robust simulation-based inference in joint discrete/continuous models for energy markets," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3148-3161, February.
    52. Sarrias, Mauricio, 2021. "A two recursive equation model to correct for endogeneity in latent class binary probit models," Journal of choice modelling, Elsevier, vol. 40(C).
    53. Bahamonde-Birke, Francisco J. & Frowijn, Luuk & van Gils, Coco & Helmink, Rutger D.W. & Henkus, Sophie & van der Hoeven, Sanna & Mathilde Kolkman, O. & van Onzen, Tim & Ronteltap, Lisette & Wehl, Dina, 2023. "Am I willing to replace my car with a MaaS subscription? An analysis of the willingness of Dutch citizens to adopt MaaS and the triggers affecting their choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    54. Zenetti, German, 2010. "A Note on 'Bayesian analysis of the random coefficient model using aggregate data', an alternative approach," MPRA Paper 26449, University Library of Munich, Germany.
    55. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2015. "Accommodating taste heterogeneity and desired substitution pattern in exit choices of pedestrian crowd evacuees using a mixed nested logit model," Journal of choice modelling, Elsevier, vol. 16(C), pages 58-68.
    56. Mabit, Stefan L., 2017. "Empirical analyses of a choice model that captures ordering among attribute values," Journal of choice modelling, Elsevier, vol. 25(C), pages 3-10.
    57. Jokubauskaitė, Simona & Hössinger, Reinhard & Aschauer, Florian & Gerike, Regine & Jara-Díaz, Sergio & Peer, Stefanie & Schmid, Basil & Axhausen, Kay W. & Leisch, Friedrich, 2019. "Advanced continuous-discrete model for joint time-use expenditure and mode choice estimation," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 397-421.
    58. Bahamonde-Birke, Francisco J. & Ortúzar, Juan de Dios, 2017. "Analyzing the continuity of attitudinal and perceptual indicators in hybrid choice models," Journal of choice modelling, Elsevier, vol. 25(C), pages 28-39.
    59. Joseph F. Wyer, 2018. "Urban Transportation Mode Choice And Trip Complexity: Bicyclists Stick To Their Gears," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1777-1787, July.

  11. Rajaonarison, Dominique & Bolduc, Denis & Jayet, Hubert, 2005. "The K-deformed multinomial logit model," Economics Letters, Elsevier, vol. 86(1), pages 13-20, January.

    Cited by:

    1. F. Clementi & M. Gallegati & G. Kaniadakis, 2012. "A generalized statistical model for the size distribution of wealth," Papers 1209.4787, arXiv.org, revised Dec 2012.
    2. Rajaonarison, Dominique, 2008. "Deterministic heterogeneity in tastes and product differentiation in the K-logit model," Economics Letters, Elsevier, vol. 100(3), pages 396-398, September.
    3. Fabio Clementi & Mauro Gallegati & Giorgio Kaniadakis, 2010. "A model of personal income distribution with application to Italian data," Empirical Economics, Springer, vol. 39(2), pages 559-591, October.
    4. Abreu, Everton M.C. & Ananias Neto, Jorge & Mendes, Albert C.R. & de Paula, Rodrigo M., 2019. "Loop quantum gravity Immirzi parameter and the Kaniadakis statistics," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 307-310.

  12. Bernard, Jean-Thomas & Bolduc, Denis & Hardy, Annie, 2002. "The costs of natural gas distribution pipelines: the case of SCGM, Quebec," Energy Economics, Elsevier, vol. 24(5), pages 425-438, September.

    Cited by:

    1. Bermúdez, Alfredo & González-Díaz, Julio & González-Diéguez, Francisco J. & González-Rueda, Ángel M., 2016. "Gas transmission networks in Europe: Connections between different entry-exit tariff methodologies," Applied Energy, Elsevier, vol. 177(C), pages 839-851.
    2. Gogas, Periklis & Mourmouris, Ioannis & Papadimitriou, Theophilos, 2012. "Economic Viability And Macroeconomic Impact Of The Burgas - Alexandroupolis Pipeline," DUTH Research Papers in Economics 1-2012, Democritus University of Thrace, Department of Economics.
    3. Ferdinand E. Banks, 2003. "An introduction to the economics of natural gas," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 27(1), pages 25-63, March.
    4. Schmöller, Arno, 2010. "Bidding Behavior, Seller Strategies, and the Utilization of Information in Auctions for Complex Goods," Munich Dissertations in Economics 11175, University of Munich, Department of Economics.

  13. Denis Bolduc & Bernard Fortin & France Labrecque & DPaul Lanoie, 2002. "Workers' Compensation, Moral Hazard and the Composition of Workplace Injuries," Journal of Human Resources, University of Wisconsin Press, vol. 37(3), pages 623-652.

    Cited by:

    1. Bedsworth, Fredrick & Neal, Daniel R. & Portillo, Javier E. & Willardsen, Kevin, 2021. "Asymmetric information and insurance: An experimental approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 92(C).
    2. Cédric AFSA & Pauline GIVORD, 2009. "The Impact of Working Conditions on Sickness Absence : A Theoretical Model and an Empirical Application to Work Schedules," Working Papers 2009-06, Center for Research in Economics and Statistics.
    3. Datta Gupta Nabanita & Lau Daniel & Pozzoli Dario, 2016. "The Impact of Education and Occupation on Temporary and Permanent Work Incapacity," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 16(2), pages 577-617, April.
    4. Alison Morantz, 2010. "Opting Out of Workers' Compensation in Texas: A Survey of Large, Multistate Nonsubscribers," NBER Chapters, in: Regulation vs. Litigation: Perspectives from Economics and Law, pages 197-238, National Bureau of Economic Research, Inc.
    5. Damian Bäumlisberger, 2021. "A Nozickian Case for Compulsory Employment Injury Insurance: The Example of Sweatshops," Journal of Business Ethics, Springer, vol. 173(1), pages 13-27, September.
    6. Yu, Li & Yin, Xundong & Chen, Yulong, 2018. "The behavioural economics of health protection: an empirical evidence of moral hazard in U.S. hog farms," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(4), October.
    7. Michele Campolieti & James Goldenberg, 2007. "Disability Insurance Denial Rates and the Labor Force Participation of Older Men and Women in Canada," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 35(1), pages 59-75, March.
    8. Liebert, Helge, 2019. "Does external medical review reduce disability insurance inflow?," Journal of Health Economics, Elsevier, vol. 64(C), pages 108-128.
    9. David Powell & Seth A. Seabury, 2014. "Medical Care Spending and Labor Market Outcomes Evidence from Workers' Compensation Reforms," Working Papers WR-1028-1, RAND Corporation.
    10. Gallipoli, Giovanni & Turner, Laura, 2009. "Household Responses to Individual Shocks: Disability and Labour Supply," CLSSRN working papers clsrn_admin-2009-32, Vancouver School of Economics, revised 22 Jun 2009.
    11. Michele Campolieti, 2004. "Disability Insurance Benefits and Labor Supply: Some Additional Evidence," Journal of Labor Economics, University of Chicago Press, vol. 22(4), pages 863-890, October.
    12. Brian Richman & Sharon Tennyson, 2022. "The effects of state legal environments on automobile insurance claims and compensation: Evidence from the Royal Globe doctrine," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(4), pages 491-513, December.
    13. Søren Leth-Petersen & Gabriel Pons Rotger, 2008. "Long-term Labour Market Performance of Whiplash Claimants," CAM Working Papers 2008-01, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    14. Liebert, Helge, 2015. "Medical Screening and Award Errors in Disability Insurance," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113224, Verein für Socialpolitik / German Economic Association.
    15. Liebert, H.;, 2018. "External Medical Review in the Disability Determination Process," Health, Econometrics and Data Group (HEDG) Working Papers 18/21, HEDG, c/o Department of Economics, University of York.
    16. Bande, Roberto & López-Mourelo, Elva, 2014. "The spatial distribution of workplace accidents in Spain: assessing the role of workplace inspections," MPRA Paper 56767, University Library of Munich, Germany.

  14. Bolduc, Denis, 1999. "A practical technique to estimate multinomial probit models in transportation," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 63-79, February.

    Cited by:

    1. Claire Dujardin & Florence Goffette-Nagot, 2006. "Neighborhood effects, public housing and unemployment in France," Post-Print halshs-00134336, HAL.
    2. Denis Bolduc, "undated". "A Fast Maximum Simulated Likelihood Estimation Technique for NMP Models," Computing in Economics and Finance 1997 155, Society for Computational Economics.
    3. Munizaga, Marcela A. & Heydecker, Benjamin G. & Ortúzar, Juan de Dios, 2000. "Representation of heteroskedasticity in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 34(3), pages 219-240, April.
    4. Garcia-Jimenez, Carlos I. & Mishra, Ashok K. & Paxton, Kenneth W. & Lambert, Dayton M. & Velandia, Margarita M. & Rejesus, Roderick M. & Segarra, Eduardo, 2011. "The Relevance of Information Sources on Adoption of Precision Farming Technologies by Cotton Producers," 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas 98123, Southern Agricultural Economics Association.
    5. Wall, Melanie M. & Liu, Xuan, 2009. "Spatial latent class analysis model for spatially distributed multivariate binary data," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3057-3069, June.
    6. Can, Vo Van, 2013. "Estimation of travel mode choice for domestic tourists to Nha Trang using the multinomial probit model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 149-159.
    7. S. F. A. Batista & Ludovic Leclercq, 2019. "Regional Dynamic Traffic Assignment Framework for Macroscopic Fundamental Diagram Multi-regions Models," Transportation Science, INFORMS, vol. 53(6), pages 1563-1590, November.
    8. Batram, Manuel & Bauer, Dietmar, 2019. "On consistency of the MACML approach to discrete choice modelling," Journal of choice modelling, Elsevier, vol. 30(C), pages 1-16.
    9. Akshay Vij & Joan L. Walker, 2014. "Hybrid choice models: the identification problem," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 22, pages 519-564, Edward Elgar Publishing.
    10. Laurent GOMEZ, 2024. "La mobilité quotidienne des immigrés en France," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 59, pages 79-107.
    11. Zhou, Heng & Norman, Richard & Xia, Jianhong(Cecilia) & Hughes, Brett & Kelobonye, Keone & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Analysing travel mode and airline choice using latent class modelling: A case study in Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 187-205.
    12. Joan L. Walker & Moshe Ben-Akiva & Denis Bolduc, 2007. "Identification of parameters in normal error component logit-mixture (NECLM) models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1095-1125.
    13. Breustedt, Gunnar & Muller-Scheessel, Jorg & Latacz-Lohmann, Uwe, 2008. "Forecasting the Adoption of GM Oilseed Rape: Evidence from a Discrete Choice Experiment," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36771, Agricultural Economics Society.
    14. Richard Gates, 2006. "A Mata Geweke–Hajivassiliou–Keane multivariate normal simulator," Stata Journal, StataCorp LP, vol. 6(2), pages 190-213, June.
    15. Bolduc, Denis & Khalaf, Lynda & Yélou, Clément, 2010. "Identification robust confidence set methods for inference on parameter ratios with application to discrete choice models," Journal of Econometrics, Elsevier, vol. 157(2), pages 317-327, August.
    16. David Roodman, 2011. "Fitting fully observed recursive mixed-process models with cmp," Stata Journal, StataCorp LP, vol. 11(2), pages 159-206, June.
    17. José I. Castillo-Manzano & Antonio Sánchez-Braza, 2011. "An Evaluation of the Establishment of a Taxi Flat Rate from City to Airport: The Case of Seville," Urban Studies, Urban Studies Journal Limited, vol. 48(9), pages 1909-1924, July.
    18. Börsch-Supan, Axel & Moshe Ben-Akiva & Kenneth Train & Daniel McFadden, 2002. "Hybrid Choice Models: Progress and Challenges," MEA discussion paper series 02009, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    19. David Roodman, 2009. "Estimating Fully Observed Recursive Mixed-Process Models with cmp," Working Papers 168, Center for Global Development.
    20. Kurt E. Schnier & Ronald G. Felthoven, 2011. "Accounting for Spatial Heterogeneity and Autocorrelation in Spatial Discrete Choice Models: Implications for Behavioral Predictions," Land Economics, University of Wisconsin Press, vol. 87(3), pages 382-402.
    21. Lee, Jongsu & Cho, Youngsang, 2009. "Demand forecasting of diesel passenger car considering consumer preference and government regulation in South Korea," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 420-429, May.
    22. W. Kuiper & Anton Cozijnsen, 2011. "The Performance of German Firms in the Business-Related Service Sectors Revisited: Differential Evolution Markov Chain Estimation of the Multinomial Probit Model," Computational Economics, Springer;Society for Computational Economics, vol. 37(4), pages 331-362, April.
    23. GRAMMIG, Joachim & HUJER, Reinhard & SCHEIDLER, Michael, 2001. "The econometrics of airline network management," LIDAM Discussion Papers CORE 2001055, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    24. Adams, Richard H. & Cuecuecha, Alfredo, 2013. "The Impact of Remittances on Investment and Poverty in Ghana," World Development, Elsevier, vol. 50(C), pages 24-40.
    25. Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
    26. Yeonbae Kim & Tai-Yoo Kim & Eunnyeong Heo, 2003. "Bayesian estimation of multinomial probit models of work trip choice," Transportation, Springer, vol. 30(3), pages 351-365, August.
    27. Denis Bolduc & Lynda Khalaf & Clément Yélou, 2005. "Identification Robust Confidence Sets Methods for Inference on Parameter Ratios and their Application to Estimating Value-of-Time," Computing in Economics and Finance 2005 48, Society for Computational Economics.
    28. Ziegler Andreas, 2010. "Z-Tests in Multinomial Probit Models under Simulated Maximum Likelihood Estimation: Some Small Sample Properties," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(5), pages 630-652, October.
    29. André De Palma & Cédric Fontan & Asad J. Khattak, 2004. "Analyzing work departure time variability in Brussels," Reflets et perspectives de la vie économique, De Boeck Université, vol. 0(4), pages 89-110.
    30. Garrido, Rodrigo A. & Leva, Mabel, 2004. "Port of destination and carrier selection for fruit exports: a multi-dimensional space-time multi-nomial probit model," Transportation Research Part B: Methodological, Elsevier, vol. 38(7), pages 657-667, August.
    31. Andreas Ziegler, 2007. "Simulated classical tests in multinomial probit models," Statistical Papers, Springer, vol. 48(4), pages 655-681, October.

  15. Bolduc, Denis & Lacroix, Guy & Muller, Christophe, 1996. "The choice of medical providers in rural Benin: A comparison of discrete choice models," Journal of Health Economics, Elsevier, vol. 15(4), pages 477-498, August.
    See citations under working paper version above.
  16. Jean-Thomas Bernard & Denis Bolduc & Donald Belanger, 1996. "Quebec Residential Electricity Demand: A Microeconometric Approach," Canadian Journal of Economics, Canadian Economics Association, vol. 29(1), pages 92-113, February.
    See citations under working paper version above.
  17. Bolduc, Denis & Fortin, Bernard & Fournier, Marc-Andre, 1996. "The Effect of Incentive Policies on the Practice Location of Doctors: A Multinomial Probit Analysis," Journal of Labor Economics, University of Chicago Press, vol. 14(4), pages 703-732, October.

    Cited by:

    1. Denis Bolduc & Bernard Fortin & Stephen Gordon, 1997. "Multinomial Probit Estimation of Spatially Interdependent Choices: An Empirical Comparison of Two New Techniques," International Regional Science Review, , vol. 20(1-2), pages 77-101, April.
    2. Eric Delattre & Anne-Laure Samson, 2012. "Stratégies de localisation des médecins généralistes français : mécanismes économiques ou hédonistes ?," Économie et Statistique, Programme National Persée, vol. 455(1), pages 115-142.
    3. Matthieu Cassou & Julien Mousquès & Carine Franc, 2020. "General practitioners’ income and activity: the impact of multi-professional group practice in France," Post-Print hal-03109158, HAL.
    4. Johnathan Munn & Caroliniana Padgett, 2015. "The effects of agglomeration on interregional hospital patient flow," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(2), pages 412-430, April.
    5. Bhat, Chandra R., 2011. "The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 923-939, August.
    6. Etienne Dumont & Bernard Fortin & Nicolas Jacquemet & Bruce Shearer, 2008. "Physicians' Multitasking and Incentives: Empirical Evidence from a Natural Experiment," PSE-Ecole d'économie de Paris (Postprint) halshs-00305308, HAL.
    7. Correia Isabel & Veiga Paula, 2010. "Geographic distribution of physicians in Portugal," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(4), pages 383-393, August.
    8. Francisco Costa & Letícia Nunes & Fabio Miessi Sanches, 2024. "How to Attract Physicians to Underserved Areas? Policy Recommendations from a Structural Model," The Review of Economics and Statistics, MIT Press, vol. 106(1), pages 36-52, January.
    9. Garrett Anstreicher, 2021. "Does increasing health care access reduce disability insurance caseloads? Evidence from the rural United States," Health Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 786-802, April.
    10. Bernard Fortin & Nicolas Jacquemet & Bruce Shearer, 2010. "Labour Supply, Work Effort and Contract Choice: Theory and Evidence on Physicians," CIRANO Working Papers 2010s-40, CIRANO.
    11. Bernard Fortin & Nicolas Jacquemet & Bruce Shearer, 2008. "Policy Analysis in the health-services market: accounting for quality and quantity," Post-Print halshs-00305309, HAL.
    12. Friederike Paetz & Winfried J. Steiner, 2017. "The benefits of incorporating utility dependencies in finite mixture probit models," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 793-819, July.
    13. Gächter, Martin & Schwazer, Peter & Theurl, Engelbert & Winner, Hannes, 2011. "Physician Density in a Two-Tiered Health Care System," Working Papers in Economics 2011-5, University of Salzburg.
    14. Michael Benarroch & Hugh Grant, 2004. "The interprovincial migration of Canadian physicians: does income matter?," Applied Economics, Taylor & Francis Journals, vol. 36(20), pages 2335-2345.
    15. Holmes, George M., 2005. "Increasing physician supply in medically underserved areas," Labour Economics, Elsevier, vol. 12(5), pages 697-725, October.
    16. Probst, Markus, 2021. "Ohne Moos nichts los? Eine Discrete-Choice-Analyse der Präferenzen von Medizinstudenten für die Arbeit auf dem Land [No Mon, No Fun? A Discrete Choice Analysis of the Preferences of Medical Student," Junior Management Science (JUMS), Junior Management Science e. V., vol. 6(3), pages 507-546.
    17. Serneels, Pieter & Lindelow, Magnus & Garcia-Montalvo, Jose & Barr, Abigail, 2005. "For public service or money : understanding geographical imbalances in the health workforce," Policy Research Working Paper Series 3686, The World Bank.
    18. Anne-Laure Samson, 2009. "Médecins généralistes à faibles revenus : une préférence pour le loisir ?," Working Papers hal-04140894, HAL.
    19. Brigitte Dormont & Anne-Laure Samson, 2008. "Medical Demography and Intergenerational Inequalities in General Practitioner's Earnings," IDEP Working Papers 0804, Institut d'economie publique (IDEP), Marseille, France, revised 10 Sep 2008.
    20. Christophe Lemiere & Christopher H. Herbst & Negda Jahanshahi & Ellen Smith & Agnes Soucat, 2011. "Reducing Geographical Imbalances of Health Workers in Sub-Saharan Africa : A Labor Market Perspective on What Works, What Does Not, and Why," World Bank Publications - Books, The World Bank Group, number 5919.
    21. Brigitte Dormont & Anne-Laure Samson, 2008. "Medical Demography and Intergenerational inequalities in GPs' earnings," Post-Print halshs-00351781, HAL.
    22. Letícia Faria De Carvalho Nunes & Francisco Junqueira Moreira Da Costa & Fábio Adriano Miessi Sanches, 2016. "Practice Location Of Physicians: A Discrete Choice Model Approach," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 225, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    23. Isabelle Clerc & Olivier L’Haridon & Alain Paraponaris & Camelia Protopopescu & Bruno Ventelou, 2012. "Fee-for-service payments and consultation length in general practice: a work--leisure trade-off model for French GPs," Applied Economics, Taylor & Francis Journals, vol. 44(25), pages 3323-3337, September.
    24. George M. Holmes, 2004. "Does the National Health Service Corps Improve Physician Supply in Underserved Locations?," Eastern Economic Journal, Eastern Economic Association, vol. 30(4), pages 563-581, Fall.
    25. Pieter Serneels & Magnus Lindelow & José Garcia Montalvo & Abigail Barr, 2006. "For public service or money: Understanding geographical imbalances in the health workforce in Ethiopia," Economics Working Papers 989, Department of Economics and Business, Universitat Pompeu Fabra.
    26. Gabrielle Wanzenried & Sandra Nocera, 2008. "The Evolution of Physician Density in Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 247-282, June.
    27. Mougeot, Michel & Naegelen, Florence, 2018. "Achieving a fair geographical distribution of health-care resources," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 384-392.
    28. Pieter Serneels & Abigail Barr & Magnus Lindelow, 2005. "Understanding Geographical Imbalances in the Health Workforce," Economics Series Working Papers GPRG-WPS-018, University of Oxford, Department of Economics.
    29. M. Olfert & Murray Jelinski & Dimitrios Zikos & John Campbell, 2012. "Human capital drift up the urban hierarchy: veterinarians in Western Canada," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(2), pages 551-570, October.
    30. Mu, Chunzhou, 2015. "The age profile of the location decision of Australian general practitioners," Social Science & Medicine, Elsevier, vol. 142(C), pages 183-193.
    31. HOSHI, Kisho, 2023. "New Medical Schools, Access to Doctors and Health Outcomes : Evidence from Japan," CEI Working Paper Series 2023-05, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    32. Huh, Jason, 2021. "Medicaid and provider supply," Journal of Public Economics, Elsevier, vol. 200(C).
    33. Stéphanie Truchet & Nicolas Mauhe & Marie Herve, 2017. "Veterinarian shortage areas: what determines the location of new graduates?," Review of Agricultural, Food and Environmental Studies, Springer, vol. 98(4), pages 255-282, December.
    34. Ellyson, Alice M. & Robertson, Justin C., 2019. "Can malpractice pressure compel a physician to relocate?," International Review of Law and Economics, Elsevier, vol. 57(C), pages 37-48.
    35. Till Bärnighausen & David E. Bloom, 2008. "Financial incentives for return of service in underserved areas: a systematic review," PGDA Working Papers 3608, Program on the Global Demography of Aging.
    36. Kuhn, Michael & Ochsen, Carsten, 2019. "Population change and the regional distribution of physicians," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    37. Heikkilä, Teppo Juhani & Hyppölä, Harri & Aine, Tiina & Halila, Hannu & Vänskä, Jukka & Kujala, Santero & Virjo, Irma & Mattila, Kari, 2014. "How do doctors choose where they want to work? – Motives for choice of current workplace among physicians registered in Finland 1977–2006," Health Policy, Elsevier, vol. 114(2), pages 109-117.
    38. Anne‐Laure Samson, 2011. "Do French low‐income GPs choose to work less?," Health Economics, John Wiley & Sons, Ltd., vol. 20(9), pages 1110-1125, September.
    39. Sandra Nocera & Gabrielle Wanzenried, 2002. "On the Dynamics of Physician Density; Theory and Empirical Evidence for Switzerland," Diskussionsschriften dp0208, Universitaet Bern, Departement Volkswirtschaft.
    40. Akhil Rao & Francesca Letizia, 2022. "An integrated debris environment assessment model," Papers 2205.05205, arXiv.org.
    41. Sener, Ipek N. & Pendyala, Ram M. & Bhat, Chandra R., 2011. "Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior," Journal of Transport Geography, Elsevier, vol. 19(2), pages 294-303.

  18. Bolduc, Denis & Kaci, Mustapha, 1993. "Estimation des modèles probit polytomiques : un survol des techniques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 69(3), pages 161-191, septembre.
    See citations under working paper version above.
  19. Bolduc, Denis, 1992. "Generalized autoregressive errors in the multinomial probit model," Transportation Research Part B: Methodological, Elsevier, vol. 26(2), pages 155-170, April.

    Cited by:

    1. Denis Bolduc, "undated". "A Fast Maximum Simulated Likelihood Estimation Technique for NMP Models," Computing in Economics and Finance 1997 155, Society for Computational Economics.
    2. Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986. "Classical estimation methods for LDV models using simulation," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441, Elsevier.
    3. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    4. Munizaga, Marcela A. & Heydecker, Benjamin G. & Ortúzar, Juan de Dios, 2000. "Representation of heteroskedasticity in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 34(3), pages 219-240, April.
    5. Wall, Melanie M. & Liu, Xuan, 2009. "Spatial latent class analysis model for spatially distributed multivariate binary data," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3057-3069, June.
    6. Schmidheiny, Kurt, 2003. "Income Segregation and Local Progressive Taxation: Empirical Evidence from Switzerland," Discussion Paper Series 26217, Hamburg Institute of International Economics.
    7. Victoria Prowse, 2012. "Modeling Employment Dynamics With State Dependence and Unobserved Heterogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 411-431, April.
    8. Young, Gary & Valdez, Emiliano A. & Kohn, Robert, 2009. "Multivariate probit models for conditional claim-types," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 214-228, April.
    9. Yai, Tetsuo & Iwakura, Seiji & Morichi, Shigeru, 1997. "Multinomial probit with structured covariance for route choice behavior," Transportation Research Part B: Methodological, Elsevier, vol. 31(3), pages 195-207, June.
    10. Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
    11. Joachim Grammig & Reinhard Hujer & Michael Scheidler, 2005. "Discrete choice modelling in airline network management," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 467-486, May.
    12. Bolduc, Denis & Kaci, Mustapha, 1993. "Estimation des modèles probit polytomiques : un survol des techniques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 69(3), pages 161-191, septembre.
    13. Kenneth E. Train, 1996. "Simulation Methods for Probit and Related Models Based on Convenient Error Partitioning," Econometrics 9605001, University Library of Munich, Germany.
    14. Liu, Yu-Hsin, 2011. "Incorporating scatter search and threshold accepting in finding maximum likelihood estimates for the multinomial probit model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 130-138, May.
    15. Bolduc, Denis & Khalaf, Lynda & Yélou, Clément, 2010. "Identification robust confidence set methods for inference on parameter ratios with application to discrete choice models," Journal of Econometrics, Elsevier, vol. 157(2), pages 317-327, August.
    16. GRAMMIG, Joachim & HUJER, Reinhard & SCHEIDLER, Michael, 2001. "The econometrics of airline network management," LIDAM Discussion Papers CORE 2001055, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    17. Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
    18. Denis Bolduc & Lynda Khalaf & Clément Yélou, 2005. "Identification Robust Confidence Sets Methods for Inference on Parameter Ratios and their Application to Estimating Value-of-Time," Computing in Economics and Finance 2005 48, Society for Computational Economics.
    19. Bolduc, Denis, 1999. "A practical technique to estimate multinomial probit models in transportation," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 63-79, February.
    20. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    21. Bolduc, Denis & Khalaf, Lynda & Moyneur, Érick, 2008. "Identification-robust simulation-based inference in joint discrete/continuous models for energy markets," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3148-3161, February.
    22. Perez-Lopez, Jose-Benito & Novales, Margarita & Orro, Alfonso, 2022. "Spatially correlated nested logit model for spatial location choice," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 1-12.

  20. Bolduc, Denis & Laferriere, Richard & Santarossa, Gino, 1992. "Spatial autoregressive error components in travel flow models," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 371-385, September.

    Cited by:

    1. Karina Acosta & Hengyu Gu, 2022. "Locked up? The development and internal migration nexus in Colombia," Documentos de trabajo sobre Economía Regional y Urbana 304, Banco de la Republica de Colombia.
    2. David M. Brasington & Diane Hite, 2005. "Demand for Environmental Quality: A Spatial Hedonic Approach," Departmental Working Papers 2005-08, Department of Economics, Louisiana State University.
    3. L W Hepple, 1995. "Bayesian Techniques in Spatial and Network Econometrics: 2. Computational Methods and Algorithms," Environment and Planning A, , vol. 27(4), pages 615-644, April.
    4. F. Bavaud & M. Kordi & C. Kaiser, 2018. "Flow autocorrelation: a dyadic approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 95-111, July.
    5. Minfeng Deng & George Athanasopoulos, 2009. "Modelling Australian Domestic and International Inbound Travel: a Spatial-Temporal Approach," Monash Econometrics and Business Statistics Working Papers 10/09, Monash University, Department of Econometrics and Business Statistics.
    6. Shanaka Herath & Johanna Choumert & Gunther Maier, 2015. "The value of the greenbelt in Vienna: a spatial hedonic analysis," Post-Print halshs-01167218, HAL.
    7. David Brasington & Donald R. Haurin, 2006. "Educational Outcomes and House Values: A Test of the value added Approach," Journal of Regional Science, Wiley Blackwell, vol. 46(2), pages 245-268, May.
    8. Tamara Mata & Carlos Llano, 2013. "Social networks and trade of services: modelling interregional flows with spatial and network autocorrelation effects," Journal of Geographical Systems, Springer, vol. 15(3), pages 319-367, July.
    9. David Brasington, 2005. "School Choice and the Flight to Private Schools: To What Extent Are Public and Private Schools Substitutes?," Departmental Working Papers 2005-02, Department of Economics, Louisiana State University.
    10. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
    11. LeSage, James P. & Fischer, Manfred M., 2014. "Spatial regression-based model specifications for exogenous and endogenous spatial interaction," Working Papers in Regional Science 2014/03, WU Vienna University of Economics and Business.
    12. Daniel Griffith, 2009. "Modeling spatial autocorrelation in spatial interaction data: empirical evidence from 2002 Germany journey-to-work flows," Journal of Geographical Systems, Springer, vol. 11(2), pages 117-140, June.
    13. Carlos Llano-Verduras & Santiago Pérez-Balsalobre & Ana Rincón-Aznar, 2021. "Market fragmentation and the rise of sub-national regulation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 765-797, December.
    14. James P. LeSage & Christine Thomas-Agnan, 2015. "Interpreting Spatial Econometric Origin-Destination Flow Models," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 188-208, March.
    15. Daniel A. Griffith & Manfred M. Fischer, 2016. "Constrained Variants of the Gravity Model and Spatial Dependence: Model Specification and Estimation Issues," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 37-66, Springer.
    16. David Brasington & Don Haurin, 2005. "Capitalization of Parent, School, and Peer Group Components of School Quality into House Price," Departmental Working Papers 2005-04, Department of Economics, Louisiana State University.
    17. Naoko Akashi-Ronquest & Paul Carrillo & Bruce Dembling & Steven Stern, 2011. "Measuring the biases in self-reported disability status: evidence from aggregate data," Applied Economics Letters, Taylor & Francis Journals, vol. 18(11), pages 1053-1060.
    18. Darlene C. Chisholm & George Norman, 2002. "Spatial Competition and Demand: An Application to Motion Pictures," Discussion Papers Series, Department of Economics, Tufts University 0216, Department of Economics, Tufts University.
    19. Jeremy Hackney & Michael Bernard & Sumit Bindra & Kay Axhausen, 2007. "Predicting road system speeds using spatial structure variables and network characteristics," Journal of Geographical Systems, Springer, vol. 9(4), pages 397-417, December.
    20. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    21. Aurélien Fichet de Clairfontaine & Manfred M. Fischer & Rafael Lata & Manfred Paier, 2015. "Barriers to cross-region research and development collaborations in Europe. Evidence from the fifth European Framework Programme," ERSA conference papers ersa15p8, European Regional Science Association.
    22. Kerkman, Kasper & Martens, Karel & Meurs, Henk, 2017. "A multilevel spatial interaction model of transit flows incorporating spatial and network autocorrelation," Journal of Transport Geography, Elsevier, vol. 60(C), pages 155-166.
    23. A. Porojan, 2001. "Trade Flows and Spatial Effects: The Gravity Model Revisited," Open Economies Review, Springer, vol. 12(3), pages 265-280, July.
    24. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    25. Anselin, Luc, 2007. "Spatial econometrics in RSUE: Retrospect and prospect," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 450-456, July.
    26. Georgios Fotopoulos & Helen Louri, 2011. "On the geography of international banking: the role of third-country effects," Working Papers 125, Bank of Greece.
    27. Llano, C. & De la Mata, T. & Díaz-Lanchas, J. & Gallego, N., 2017. "Transport-mode competition in intra-national trade: An empirical investigation for the Spanish case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 334-355.
    28. Manfred M. Fischer & Daniel A. Griffith, 2008. "Modeling Spatial Autocorrelation In Spatial Interaction Data: An Application To Patent Citation Data In The European Union," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 969-989, December.
    29. Georgios Fotopoulos & Helen Louri, 2011. "On the Geography of International Banking: a case for spatial econometrics?," ERSA conference papers ersa10p1081, European Regional Science Association.

  21. Bolduc, Denis & Poole, Erik, 1990. "Ordinal probit model with random bounds," Economics Letters, Elsevier, vol. 33(3), pages 239-244, July.
    See citations under working paper version above.
  22. Bolduc, Denis & Dagenais, Marcel G. & Gaudry, Marc J. I., 1989. "Spatially autocorrelated errors in origin-destination models: A new specification applied to aggregate mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 23(5), pages 361-372, October.
    See citations under working paper version above.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.