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Denzil G. Fiebig

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. Bharadwaj, P. & Doiron, D. & Fiebig, D. G. & Suziedelyte, A., 2020. "Psychological Costs of Migration: Home Country Natural Disasters and Mental Health," Working Papers 20/03, Department of Economics, City University London.

    Cited by:

    1. Rotundo, G. & Ausloos, M., 2007. "Microeconomic co-evolution model for financial technical analysis signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 569-585.
    2. Anger, Silke & Christoph, Bernhard & Galkiewicz, Agata & Margaryan, Shushanik & Peter, Frauke & Sandner, Malte & Siedler, Thomas, 2024. "War, international spillovers, and adolescents: Evidence from Russia's invasion of Ukraine in 2022," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 181-193.
    3. Alderremy, A.A. & Saad, Khaled M. & Agarwal, Praveen & Aly, Shaban & Jain, Shilpi, 2020. "Certain new models of the multi space-fractional Gardner equation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    4. Coma, Julià & Chàfer, Marta & Pérez, Gabriel & Cabeza, Luisa F., 2020. "How internal heat loads of buildings affect the effectiveness of vertical greenery systems? An experimental study," Renewable Energy, Elsevier, vol. 151(C), pages 919-930.
    5. Zhu, H.B. & Zhou, Y.J. & Wu, W.J., 2020. "Modeling traffic flow mixed with automated vehicles considering drivers ’ character difference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    6. Nie, Binjian & Zou, Boyang & She, Xiaohui & Zhang, Tongtong & Li, Yongliang & Ding, Yulong, 2020. "Development of a heat transfer coefficient based design method of a thermal energy storage device for transport air-conditioning applications," Energy, Elsevier, vol. 196(C).
    7. Li, Zhiyu & Xu, Xiwei & Jiang, Enchen & Han, Ping & Sun, Yan & Zhou, Ling & Zhong, Peidong & Fan, Xudong, 2020. "Alkane from hydrodeoxygenation (HDO) combined with in-situ multistage condensation of biomass continuous pyrolysis bio-oil via mixed supports catalyst Ni/HZSM-5-γ-Al2O3," Renewable Energy, Elsevier, vol. 149(C), pages 535-548.
    8. Shi, Xin & Jiang, Haizhou & Li, Huan & Xu, Dong, 2020. "Maritime cluster research: Evolutionary classification and future development," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 237-254.
    9. Yoo, Yeawon & Escobedo, Adolfo R. & Skolfield, J. Kyle, 2020. "A new correlation coefficient for comparing and aggregating non-strict and incomplete rankings," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1025-1041.

  2. Fiebig, D.G. & Viney, R. & Haas, M. & Knox, S. & Street, D. & Weisberg, E. & Bateson, D., 2015. "Complexity and doctor choices when discussing contraceptives," Health, Econometrics and Data Group (HEDG) Working Papers 15/14, HEDG, c/o Department of Economics, University of York.

    Cited by:

    1. Patricia Kenny & Stephen Goodall & Deborah J. Street & Jessica Greene, 2017. "Choosing a Doctor: Does Presentation Format Affect the Way Consumers Use Health Care Performance Information?," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(6), pages 739-751, December.

  3. Denise Doiron & Denzil G Fiebig & Agne Suziedelyte, 2013. "Hips and hearts: the variation in incentive effects of insurance across hospital procedures," Discussion Papers 2013-14, School of Economics, The University of New South Wales.

    Cited by:

    1. Nathan Kettlewell, 2019. "Utilization and Selection in an Ancillaries Health Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 86(4), pages 989-1017, December.
    2. Papanicolas, Irene & McGuire, Alistair, 2015. "Do financial incentives trump clinical guidance? Hip Replacement in England and Scotland," Journal of Health Economics, Elsevier, vol. 44(C), pages 25-36.
    3. Denise Doiron & Nathan Kettlewell, 2020. "Family formation and the demand for health insurance," Health Economics, John Wiley & Sons, Ltd., vol. 29(4), pages 523-533, April.
    4. Ha Trong Nguyen & Huong Thu Le & Luke Connelly & Francis Mitrou, 2023. "Accuracy of self‐reported private health insurance coverage," Health Economics, John Wiley & Sons, Ltd., vol. 32(12), pages 2709-2729, December.
    5. Lan Nguyen & Andrew C. Worthington, 2023. "Moral hazard in Australian private health insurance: the case of dental care services and extras cover," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(1), pages 157-176, January.
    6. Chunzhou Mu & Jane Hall, 2023. "Marital status and hospital use in older adults," Australian Economic Papers, Wiley Blackwell, vol. 62(2), pages 185-213, June.
    7. Denzil G. Fiebig, 2017. "Big Data: Will It Improve Patient-Centered Care?," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(2), pages 133-139, April.
    8. Kettlewell, Nathan & Zhang, Yuting, 2021. "Age Penalties and Take-up of Private Health Insurance," IZA Discussion Papers 14901, Institute of Labor Economics (IZA).
    9. Denise Doiron & Nathan Kettlewell, 2018. "The Effect of Health Insurance on the Substitution between Public and Private Hospital Care," The Economic Record, The Economic Society of Australia, vol. 94(305), pages 135-154, June.
    10. Judith Liu & Yuting Zhang, 2023. "Elderly responses to private health insurance incentives: Evidence from Australia," Health Economics, John Wiley & Sons, Ltd., vol. 32(12), pages 2730-2744, December.

  4. Randall P. Ellis & Denzil G. Fiebig & Meliyanni Johar & Glenn Jones & Elizabeth Savage, 2012. "Explaining Health Care Expenditure Variation: Large-sample Evidence Using Linked Survey and Health Administrative Data," Working Paper Series 1, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Randall P. Ellis & Pooja G. Mookim, 2013. "K-Fold Cross-Validation is Superior to Split Sample Validation for Risk Adjustment Models," Boston University - Department of Economics - Working Papers Series wp2013-026, Boston University - Department of Economics.
    2. Buchmueller, Thomas C. & Johar, Meliyanni, 2015. "Obesity and health expenditures: Evidence from Australia," Economics & Human Biology, Elsevier, vol. 17(C), pages 42-58.
    3. Meliyanni Johar & Glenn Jones & Elizabeth Savage, 2012. "Healthcare Expenditure Profile of Older Australians: Evidence from Linked Survey and Health Administrative Data," Economic Papers, The Economic Society of Australia, vol. 31(4), pages 451-463, December.
    4. A. A. Withagen-Koster & R. C. Kleef & F. Eijkenaar, 2018. "Examining unpriced risk heterogeneity in the Dutch health insurance market," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(9), pages 1351-1363, December.
    5. Pavitra Paul & Ulrich Nguemdjo & Natalia Kovtun & Bruno Ventelou, 2021. "Does Self-Assessed Health Reflect the True Health State?," Post-Print hal-03463422, HAL.
    6. Feras Kasabji & Alaa Alrajo & Ferenc Vincze & László Kőrösi & Róza Ádány & János Sándor, 2020. "Self-Declared Roma Ethnicity and Health Insurance Expenditures: A Nationwide Cross-Sectional Investigation at the General Medical Practice Level in Hungary," IJERPH, MDPI, vol. 17(23), pages 1-17, December.
    7. Paula K. Lorgelly & Brett Doble & Rachel J. Knott, 2016. "Realising the Value of Linked Data to Health Economic Analyses of Cancer Care: A Case Study of Cancer 2015," PharmacoEconomics, Springer, vol. 34(2), pages 139-154, February.
    8. Denzil G. Fiebig, 2017. "Big Data: Will It Improve Patient-Centered Care?," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(2), pages 133-139, April.
    9. Jing Chen & Randall P. Ellis & Katherine H. Toro & Arlene S. Ash, 2015. "Mispricing in Medicare Advantage Risk Adjustment," Boston University - Department of Economics - Working Papers Series wp2015-020, Boston University - Department of Economics.
    10. Sungchul Park & Anirban Basu, 2018. "Alternative evaluation metrics for risk adjustment methods," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 984-1010, June.
    11. Camilo Cid & Randall P. Ellis & Verónica Vargas & Juergen Wasem & Lorena Prieto, 2015. "Global Risk-Adjusted Payment Models," Boston University - Department of Economics - Working Papers Series wp2015-021, Boston University - Department of Economics.
    12. Randall P. Ellis & Denzil G. Fiebig & Meliyanni Johar & Glenn Jones & Elizabeth Savage, 2013. "Explaining Health Care Expenditure Variation: Large‐Sample Evidence Using Linked Survey And Health Administrative Data," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1093-1110, September.
    13. Julie Shi & Yi Yao & Gordon Liu, 2018. "Modeling individual health care expenditures in China: Evidence to assist payment reform in public insurance," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 1945-1962, December.
    14. Yuanyuan Zhu & Yan Zhang & Xiaohua Zhu & Yuan Luo & ZhenFa Tu, 2024. "The evolution of animal-based dietary structure has contributed to the increase of healthcare expenditures in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    15. Donald J. Wright, 2013. "An Equilibrium Model of General Practitioner Payment Schemes," The Economic Record, The Economic Society of Australia, vol. 89(286), pages 287-299, September.
    16. Hayen, A.P. & van den Berg, M.J. & Meijboom, B.R. & Struijs, J.N. & Westert, G.P., 2015. "Incorporating shared savings programs into primary care : From theory to practice," Other publications TiSEM 2e26be96-1dc3-41fe-8dc9-c, Tilburg University, School of Economics and Management.

  5. Rochelle Guttmann & Ryan Castle & Denzil G. Fiebig, 2009. "Use of Discrete Choice Experiments in health economics: An update of the literature," Working Papers 2009/2, CHERE, University of Technology, Sydney.

    Cited by:

    1. Sonja Fagernäs & Panu Pelkonen, 2012. "Preferences and skills of Indian public sector teachers," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-31, December.
    2. Worawan Chandoevwit & Nada Wasi, 2020. "Incorporating Discrete Choice Experiments into Policy Decisions: Case of Designing Public Long-Term Care Insurance," PIER Discussion Papers 134, Puey Ungphakorn Institute for Economic Research.
    3. Jeff Bennett & Ekin Birol, 2010. "Introduction: The Roles and Significance of Choice Experiments in Developing Country Contexts," Chapters, in: Jeff Bennett & Ekin Birol (ed.), Choice Experiments in Developing Countries, chapter 1, Edward Elgar Publishing.
    4. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    5. Sonja Fagernäs & Panu Pelkonen, 2011. "Whether to Hire Local Contract Teachers? Trade-off Between Skills and Preferences in India," Working Paper Series 1811, Department of Economics, University of Sussex Business School.
    6. Michael Keane & Nada Wasi, 2013. "Comparing Alternative Models Of Heterogeneity In Consumer Choice Behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 1018-1045, September.

  6. Rochelle Belkar & Waranya Pim Chanthapun & Denzil G. Fiebig, 2007. "A discrete choice model with misclassification and multiple recall periods," Discussion Papers 2007-10, School of Economics, The University of New South Wales.

    Cited by:

    1. Clarke, Philip M. & Fiebig, Denzil G. & Gerdtham, Ulf-G., 2008. "Optimal recall length in survey design," Journal of Health Economics, Elsevier, vol. 27(5), pages 1275-1284, September.

  7. Stephanie Knox & Elizabeth Savage & Denzil Fiebig & Vineta Salale, 2007. "Joiners, leavers, stayers and abstainers: Private health insurance choices in Australia, CHERE Working Paper 2007/8," Working Papers 2007/8, CHERE, University of Technology, Sydney.

    Cited by:

    1. Farrell, Lisa & Fry, Tim R.L. & Risse, Leonora, 2016. "The significance of financial self-efficacy in explaining women’s personal finance behaviour," Journal of Economic Psychology, Elsevier, vol. 54(C), pages 85-99.

  8. Denzil Fiebig & Marion Haas & Ishrat Hossain & Rosalie Viney, 2007. "Decisions about Pap tests: What influences women and providers?," Working Papers 2007/11, CHERE, University of Technology, Sydney.

    Cited by:

    1. Emily Lancsar & Joffre Swait, 2014. "Reconceptualising the External Validity of Discrete Choice Experiments," PharmacoEconomics, Springer, vol. 32(10), pages 951-965, October.
    2. Stephanie A. Knox & Rosalie C. Viney & Deborah J. Street & Marion R. Haas & Denzil G. Fiebig & Edith Weisberg & Deborah Bateson, 2012. "What’s Good and Bad About Contraceptive Products?," PharmacoEconomics, Springer, vol. 30(12), pages 1187-1202, December.
    3. Gregory Merlo & Mieke Driel & Lisa Hall, 2020. "Systematic review and validity assessment of methods used in discrete choice experiments of primary healthcare professionals," Health Economics Review, Springer, vol. 10(1), pages 1-9, December.
    4. Christine Michaels-Igbokwe & Mylene Lagarde & John Cairns & Fern Terris-Prestholt, 2015. "Designing a package of sexual and reproductive health and HIV outreach services to meet the heterogeneous preferences of young people in Malawi: results from a discrete choice experiment," Health Economics Review, Springer, vol. 5(1), pages 1-19, December.
    5. Leonie Burgess & Deborah J. Street & Rosalie Viney & Jordan Louviere, 2006. "Design of Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, chapter 39, Edward Elgar Publishing.
    6. Yanjun Sun & Yiping Wang & Huiying Zhang & Zhiqing Hu & Yuhao Ma & Yuan He, 2024. "What Breast Cancer Screening Program do Rural Women Prefer? A Discrete Choice Experiment in Jiangsu, China," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 17(4), pages 363-378, July.
    7. Emily Lancsar & Peter Burge, 2014. "Choice modelling research in health economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 28, pages 675-687, Edward Elgar Publishing.
    8. Meliyanni Johar & Denzil G. Fiebig & Marion Haas & Rosalie Viney, 2013. "Using repeated choice experiments to evaluate the impact of policy changes on cervical screening," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1845-1855, May.
    9. Brown, Paul & Panattoni, Laura & Cameron, Linda & Knox, Stephanie & Ashton, Toni & Tenbensel, Tim & Windsor, John, 2015. "Hospital sector choice and support for public hospital care in New Zealand: Results from a labeled discrete choice survey," Journal of Health Economics, Elsevier, vol. 43(C), pages 118-127.
    10. Stuart J. Wright & Caroline M. Vass & Gene Sim & Michael Burton & Denzil G. Fiebig & Katherine Payne, 2018. "Accounting for Scale Heterogeneity in Healthcare-Related Discrete Choice Experiments when Comparing Stated Preferences: A Systematic Review," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(5), pages 475-488, October.
    11. Neil Buckley & Katherine Cuff & Jeremiah Hurley & Logan McLeod & Robert Nuscheler & David Cameron, 2010. "Willingness-to-Pay for Parallel Private Health Insurance: Evidence from Laboratory Experiment," Centre for Health Economics and Policy Analysis Working Paper Series 2010-02, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada.
    12. Meliyanni Johar & Denzil Fiebig & Marion Haas & Rosalie Viney, 2009. "Evaluating changes in women's attitudes towards cervical screening following a screening promotion campaign and a free vaccination program. CHERE Working Paper 2009/3," Working Papers 2009/3, CHERE, University of Technology, Sydney.
    13. Axel Mühlbacher & Christin Juhnke, 2013. "Patient Preferences Versus Physicians’ Judgement: Does it Make a Difference in Healthcare Decision Making?," Applied Health Economics and Health Policy, Springer, vol. 11(3), pages 163-180, June.

  9. Denzil Fiebig & Elizabeth Savage & Rosalie Viney, 2006. "Does the reason for buying health insurance influence behaviour? CHERE Working Paper 2006/1," Working Papers 2006/1, CHERE, University of Technology, Sydney.

    Cited by:

    1. Megan Gu & Meliyanni Johar, 2017. "Profiling hospital utilization in a mixed public–private system," Applied Economics, Taylor & Francis Journals, vol. 49(4), pages 361-375, January.
    2. Damien S.Eldridge & Ilke Onur & Malathi Velamuri & Cagatay Koc, 2013. "The Impact of Private Hospital Insurance on the Utilization of Hospital Care In Australia," Working Papers 2013.03, School of Economics, La Trobe University.
    3. World Bank, 2015. "Bulgaria Health Financing," World Bank Publications - Reports 22964, The World Bank Group.
    4. Stephanie Knox & Elizabeth Savage & Denzil Fiebig & Vineta Salale, 2007. "Joiners, leavers, stayers and abstainers: Private health insurance choices in Australia, CHERE Working Paper 2007/8," Working Papers 2007/8, CHERE, University of Technology, Sydney.
    5. Meliyanni Johar & Glenn Jones & Michael Keane & Elizabeth Savage & Olena Stavrunova, 2010. "Waiting times and the decision to buy private health insurance. CHERE Working Paper 2010/9," Working Papers 2010/9, CHERE, University of Technology, Sydney.
    6. Denise Doiron & Glenn Jones & Elizabeth Savage, 2008. "Healthy, wealthy and insured? The role of self‐assessed health in the demand for private health insurance," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 317-334, March.

  10. Rosalie Viney & Marion Haas & Rochelle Belkar & Denzil G. Fiebig, 2004. "Why worry about awareness in choice problems? Econometric analysis of screening for cervical cancer," Econometric Society 2004 Australasian Meetings 109, Econometric Society.

    Cited by:

    1. Fiebig, Denzil G. & Haas, Marion & Hossain, Ishrat & Street, Deborah J. & Viney, Rosalie, 2009. "Decisions about Pap tests: What influences women and providers?," Social Science & Medicine, Elsevier, vol. 68(10), pages 1766-1774, May.
    2. Nicolas BOUCKAERT & Erik SCHOKKAERT, 2013. "Differing types of medical prevention appeal to different individuals," Working Papers of Department of Economics, Leuven ces13.11, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    3. Whynes, David K. & Philips, Zoe & Avis, Mark, 2007. "Why do women participate in the English cervical cancer screening programme?," Journal of Health Economics, Elsevier, vol. 26(2), pages 306-325, March.
    4. Cheah, Yong Kang, 2018. "The utilization of diagnostic tests among the elderly: Evidence from Malaysia," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 121-128.
    5. Belkar, R. & Fiebig, D.G., 2008. "A Monte Carlo comparison of estimators for a bivariate probit model with selection," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 250-256.
    6. Carman, K.G. & Mosca, I., 2011. "Who Takes Advantage of Free Flu Shots? Examining the Effects of an Expansion in Coverage," Discussion Paper 2011-024, Tilburg University, Center for Economic Research.
    7. Carman, Katherine Grace & Kooreman, Peter, 2011. "Flu Shots, Mammograms, and the Perception of Probabilities," IZA Discussion Papers 5739, Institute of Labor Economics (IZA).
    8. Maximilien Nayaradou & Célia Berchi & Olivier Dejardin & Guy Launoy, 2010. "Eliciting Population Preferences for Mass Colorectal Cancer Screening Organization," Medical Decision Making, , vol. 30(2), pages 224-233, March.
    9. Denzil G. Fiebig & Rosalie Viney & Stephanie Knox & Marion Haas & Deborah J. Street & Arne R. Hole & Edith Weisberg & Deborah Bateson, 2017. "Consideration Sets and Their Role in Modelling Doctor Recommendations About Contraceptives," Health Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 54-73, January.
    10. Katherine Carman & Peter Kooreman, 2014. "Probability perceptions and preventive health care," Journal of Risk and Uncertainty, Springer, vol. 49(1), pages 43-71, August.
    11. Meliyanni Johar & Denzil G. Fiebig & Marion Haas & Rosalie Viney, 2013. "Using repeated choice experiments to evaluate the impact of policy changes on cervical screening," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1845-1855, May.
    12. Meliyanni Johar & Denzil Fiebig & Marion Haas & Rosalie Viney, 2009. "Evaluating changes in women's attitudes towards cervical screening following a screening promotion campaign and a free vaccination program. CHERE Working Paper 2009/3," Working Papers 2009/3, CHERE, University of Technology, Sydney.
    13. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    14. Katherine Carman & Ilaria Mosca, 2014. "Who Takes Up Free Flu Shots? Examining the Effects of an Expansion in Coverage," De Economist, Springer, vol. 162(1), pages 1-17, March.
    15. Yong Kang Cheah & Chor Foon Tang, 2017. "Factors Influencing the use of Preventive Medical Care in Malaysia: Evidence from National Health and Morbidity Survey Data," Asian Economic Journal, East Asian Economic Association, vol. 31(2), pages 119-137, June.

  11. Bartels, R. & Fiebig, D.G. & van Soest, A.H.O., 2003. "Consumers and Experts : An Econometric Analysis of the Demand for Water Heaters," Discussion Paper 2003-26, Tilburg University, Center for Economic Research.

    Cited by:

    1. Nirmale, Sangram Krishna & Pinjari, Abdul Rawoof, 2023. "Discrete choice models with multiplicative stochasticity in choice environment variables: Application to accommodating perception errors in driver behaviour models," Transportation Research Part B: Methodological, Elsevier, vol. 170(C), pages 169-193.
    2. Fiebig, Denzil G. & Haas, Marion & Hossain, Ishrat & Street, Deborah J. & Viney, Rosalie, 2009. "Decisions about Pap tests: What influences women and providers?," Social Science & Medicine, Elsevier, vol. 68(10), pages 1766-1774, May.
    3. 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.
    4. Jose Blandon & Spencer Henson & Towhidul Islam, 2009. "Marketing preferences of small-scale farmers in the context of new agrifood systems: a stated choice model," Agribusiness, John Wiley & Sons, Ltd., vol. 25(2), pages 251-267.
    5. Paleti, Rajesh & Bhat, Chandra R., 2013. "The composite marginal likelihood (CML) estimation of panel ordered-response models," Journal of choice modelling, Elsevier, vol. 7(C), pages 24-43.
    6. Wasi, Nada & Carson, Richard T., 2011. "The Influence of Rebate Programs on the Demand for Water Heaters: The Case of New South Wales," 2011 Conference (55th), February 8-11, 2011, Melbourne, Australia 100731, Australian Agricultural and Resource Economics Society.
    7. Arouna, Aminou & Adegbola, Patrice Y. & Raphael, Babatunde & Diagne, Aliou, 2015. "Contract farming preferences by smallholder rice producers in Africa: a stated choice model using mixed logic," 2015 Conference, August 9-14, 2015, Milan, Italy 210957, International Association of Agricultural Economists.
    8. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.
    9. Higgins, Andrew & McNamara, Cheryl & Foliente, Greg, 2014. "Modelling future uptake of solar photo-voltaics and water heaters under different government incentives," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 142-155.
    10. Chandra R. Bhat & Patrícia S. Lavieri, 2018. "A new mixed MNP model accommodating a variety of dependent non-normal coefficient distributions," Theory and Decision, Springer, vol. 84(2), pages 239-275, March.
    11. Jordan Louviere & Kenneth Train & Moshe Ben-Akiva & Chandra Bhat & David Brownstone & Trudy Cameron & Richard Carson & J. Deshazo & Denzil Fiebig & William Greene & David Hensher & Donald Waldman, 2005. "Recent Progress on Endogeneity in Choice Modeling," Marketing Letters, Springer, vol. 16(3), pages 255-265, December.
    12. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    13. Cristiano Franceschinis & Riccardo Scarpa & Mara Thiene & John Rose & Michele Moretto & Raffaele Cavalli, 2016. "Exploring the Spatial Heterogeneity of Individual Preferences for Ambient Heating Systems," Energies, MDPI, vol. 9(6), pages 1-19, May.
    14. Fiebig, D.G. & Viney, R. & Haas, M. & Knox, S. & Street, D. & Weisberg, E. & Bateson, D., 2015. "Complexity and doctor choices when discussing contraceptives," Health, Econometrics and Data Group (HEDG) Working Papers 15/14, HEDG, c/o Department of Economics, University of York.
    15. Noemi Munkacsi & Krushna Mahapatra, 2019. "Communication and Household Adoption of Heating Products in Hungary," Energies, MDPI, vol. 12(2), pages 1-22, January.

  12. BAUWENS, Luc & FIEBIG, Denzil & STEEL, Mark, 1992. "Estimating End-Use Demand : A Bayesian Approach," LIDAM Discussion Papers CORE 1992052, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Bodil M. Larsen & Runa Nesbakken, 2003. "How to quantify household electricity end-use consumption," Discussion Papers 346, Statistics Norway, Research Department.
    2. Bartels, Robert & Fiebig, Denzil G., 1995. "Optimal design in end-use metering experiments," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 305-309.
    3. Zhang, Fan, 2011. "Distributional impact analysis of the energy price reform in Turkey," Policy Research Working Paper Series 5831, The World Bank.
    4. Hanne Marit Dalen and Bodil M. Larsen, 2015. "Residential End-use Electricity Demand: Development over Time," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    5. Aydinalp-Koksal, Merih & Ugursal, V. Ismet, 2008. "Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector," Applied Energy, Elsevier, vol. 85(4), pages 271-296, April.
    6. Hannah Goozee, 2017. "Energy, Poverty and Development: A Primer for the Sustainable Development Goals," Working Papers id:11933, eSocialSciences.
    7. Muhammad Akmal & David I. Stern, 2001. "Residential energy demand in Australia: an application of dynamic OLS," Working Papers in Ecological Economics 0104, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
    8. Muhammad, Akmal, 2002. "The structure of consumer energy demand in Australia: an application of a dynamic almost ideal demand system," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125050, Australian Agricultural and Resource Economics Society.
    9. Maya Papineau & Kareman Yassin & Guy Newsham & Sarah Brice, 2020. "Conditional demand analysis as a tool to evaluate energy policy options on the path to grid decarbonization," Carleton Economic Papers 20-21, Carleton University, Department of Economics.
    10. Li, Wenliang & Zhou, Yuyu & Cetin, Kristen & Eom, Jiyong & Wang, Yu & Chen, Gang & Zhang, Xuesong, 2017. "Modeling urban building energy use: A review of modeling approaches and procedures," Energy, Elsevier, vol. 141(C), pages 2445-2457.
    11. Muhammad Akmal & David I. Stern, 2001. "The structure of Australian residential energy demand," Working Papers in Ecological Economics 0101, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
    12. Brabec, Marek & Konár, Ondrej & Pelikán, Emil & Malý, Marek, 2008. "A nonlinear mixed effects model for the prediction of natural gas consumption by individual customers," International Journal of Forecasting, Elsevier, vol. 24(4), pages 659-678.
    13. Hanne Marit Dalen & Bodil M. Larsen, 2013. "Residential end-use electricity demand. Development over time," Discussion Papers 736, Statistics Norway, Research Department.
    14. 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).
    15. Brencic, Vera & Young, Denise, 2009. "Time-saving innovations, time allocation, and energy use: Evidence from Canadian households," Ecological Economics, Elsevier, vol. 68(11), pages 2859-2867, September.
    16. Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.

  13. Bartels, R. & Fiebig, D.G., 1990. "Integrating Direct Metering And Conditional Demand Analysis Fr Estimating End-Use Loads," Papers 9056, Tilburg - Center for Economic Research.

    Cited by:

    1. Robert Bartels & Denzil G. Fiebig & Michael H. Plumb, 1996. "Gas or Electricity, which is Cheaper?: An Econometric Approach with Application to Australian Expenditure Data," The Energy Journal, , vol. 17(4), pages 33-57, October.
    2. Bodil M. Larsen & Runa Nesbakken, 2003. "How to quantify household electricity end-use consumption," Discussion Papers 346, Statistics Norway, Research Department.
    3. Bartels, Robert & Fiebig, Denzil G., 1995. "Optimal design in end-use metering experiments," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 305-309.
    4. Shigeru Matsumoto, 2015. "Electric Appliance Ownership and Usage: Application of Conditional Demand Analysis to Japanese Household Data," Working Papers e098, Tokyo Center for Economic Research.
    5. Hannah Goozee, 2017. "Energy, poverty and development: a primer for the Sustainable Development Goals," Working Papers 156, International Policy Centre for Inclusive Growth.
    6. Hanne Marit Dalen and Bodil M. Larsen, 2015. "Residential End-use Electricity Demand: Development over Time," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    7. Mattias Vesterberg and Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    8. Hannah Goozee, 2017. "Energy, Poverty and Development: A Primer for the Sustainable Development Goals," Working Papers id:11933, eSocialSciences.
    9. Muhammad Akmal & David I. Stern, 2001. "Residential energy demand in Australia: an application of dynamic OLS," Working Papers in Ecological Economics 0104, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
    10. Muhammad, Akmal, 2002. "The structure of consumer energy demand in Australia: an application of a dynamic almost ideal demand system," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125050, Australian Agricultural and Resource Economics Society.
    11. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    12. Mattias Vesterberg & Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, , vol. 37(4), pages 141-164, October.
    13. James B. McDonald & Richard A. Michelfelder & Panayiotis Theodossiou, 2009. "Robust Regression Estimation Methods and Intercept Bias: A Capital Asset Pricing Model Application," Multinational Finance Journal, Multinational Finance Journal, vol. 13(3-4), pages 293-321, September.
    14. Beccali, M. & Cellura, M. & Lo Brano, V. & Marvuglia, A., 2008. "Short-term prediction of household electricity consumption: Assessing weather sensitivity in a Mediterranean area," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(8), pages 2040-2065, October.
    15. Maya Papineau & Kareman Yassin & Guy Newsham & Sarah Brice, 2020. "Conditional demand analysis as a tool to evaluate energy policy options on the path to grid decarbonization," Carleton Economic Papers 20-21, Carleton University, Department of Economics.
    16. Narayan, Paresh Kumar & Smyth, Russell, 2005. "The residential demand for electricity in Australia: an application of the bounds testing approach to cointegration," Energy Policy, Elsevier, vol. 33(4), pages 467-474, March.
    17. Muhammad Akmal & David I. Stern, 2001. "The structure of Australian residential energy demand," Working Papers in Ecological Economics 0101, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
    18. Hanne Marit Dalen & Bodil M. Larsen, 2013. "Residential end-use electricity demand. Development over time," Discussion Papers 736, Statistics Norway, Research Department.
    19. Robert Bartels & Denzil G. Fiebig, 2000. "Residential End-Use Electricity Demand: Results from a Designed Experiment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 51-81.
    20. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    21. Matsumoto, Shigeru, 2016. "How do household characteristics affect appliance usage? Application of conditional demand analysis to Japanese household data," Energy Policy, Elsevier, vol. 94(C), pages 214-223.
    22. Robert Bartels & Denzil G. Fiebig & Daehoon Nahm, 1996. "Regional End‐Use Gas Demand in Australia," The Economic Record, The Economic Society of Australia, vol. 72(219), pages 319-331, December.
    23. Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.

  14. Bewley, R. & Fiebig, D.G., 1989. "Why Are Long-Run Parameter Estimates So Disparate?," Papers 89-3, New South Wales - School of Economics.

    Cited by:

    1. De Zhou & Xiaohua Yu & Thomas Herzfeld, 2015. "Dynamic food demand in urban China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 7(1), pages 27-44, February.
    2. Francis X. Diebold & Russell L. Lamb, 1996. "Why are estimates of agricultural supply response so variable?," Finance and Economics Discussion Series 96-8, Board of Governors of the Federal Reserve System (U.S.).
    3. Shen, Edward Z. & Perloff, Jeffrey M., 2001. "Maximum entropy and Bayesian approaches to the ratio problem," Journal of Econometrics, Elsevier, vol. 104(2), pages 289-313, September.
    4. Yihui Lan, 2003. "The Long-Term Behaviour of Exchange Rates, Part II: Aspects of Exchange-Rate Economics," Economics Discussion / Working Papers 03-06, The University of Western Australia, Department of Economics.
    5. Kenneth Clements & Yihui Lan, 2007. "Exchange rates, productivity, poverty and inequality," Applied Economics, Taylor & Francis Journals, vol. 39(4), pages 471-476.
    6. T. Kesavan & Zuhair A. Hassan & Helen H. Jensen & Stanley R. Johnson, 1993. "Dynamics and Long-run Structure in U.S. Meat Demand," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 41(2), pages 139-153, July.
    7. Kenneth W. Clements & Yihui Lan & Xueyan Zhao, 2005. "The Demand for Vice: Inter-Commodity Interactions with Uncertainty," Economics Discussion / Working Papers 05-30, The University of Western Australia, Department of Economics.
    8. Kim, Jae H. & Fraser, Iain & Hyndman, Rob J., 2011. "Improved interval estimation of long run response from a dynamic linear model: A highest density region approach," Computational Statistics & Data Analysis, Elsevier, vol. 55(8), pages 2477-2489, August.
    9. Kesavan, T. & Aradhyula, Satheesh V. & Johnson, Stanley R., 1992. "Dynamics And Price Volatility In Farm-Retail Livestock Price Relationships," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(2), pages 1-14, December.
    10. Arize, Augustine C. & Osang, Thomas & Slottje, Daniel J., 2008. "Exchange-rate volatility in Latin America and its impact on foreign trade," International Review of Economics & Finance, Elsevier, vol. 17(1), pages 33-44.
    11. Kenneth W Clements & Yihui Lan, 2006. "A New Approach to Forecasting Exchange Rates," Economics Discussion / Working Papers 06-29, The University of Western Australia, Department of Economics.
    12. Yihui Lan, 2001. "The Long-Run Value of Currencies: A Big Mac Perspective," Economics Discussion / Working Papers 01-17, The University of Western Australia, Department of Economics.
    13. Esho, Neil & Sharpe, Ian G., 1995. "Long-run estimates of technological change and scale economies in a dynamic framework: Australian permanent building societies, 1974-1990," Journal of Banking & Finance, Elsevier, vol. 19(7), pages 1135-1157, October.
    14. Neil Esho & Ian G. Sharpe, 1996. "X‐Efficiency of Australian Permanent Building Societies, 1974–1990," The Economic Record, The Economic Society of Australia, vol. 72(218), pages 246-259, September.
    15. Bewley, Ronald & Fiebig, Denzil G., 1992. "Estimation of long-run responses in dynamic models with integrated data," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 33(5), pages 539-544.
    16. Paul Gatward & Ian G. Sharpe, 1996. "Capital Structure Dynamics with Interrelated Adjustment: Australian Evidence," Australian Journal of Management, Australian School of Business, vol. 21(2), pages 89-112, December.

Articles

  1. Denzil G. Fiebig & Kees van Gool & Jane Hall & Chunzhou Mu, 2021. "Health care use in response to health shocks: Does socio‐economic status matter?," Health Economics, John Wiley & Sons, Ltd., vol. 30(12), pages 3032-3050, December.

    Cited by:

    1. Nicole Black & David W. Johnston & Martin Knapp & Michael A. Shields & Gloria H.Y. Wong, 2024. "Horizontal inequity in the use of mental healthcare in Australia," Papers 2024-14, Centre for Health Economics, Monash University.
    2. Jane Hall & Kees van Gool & Philip Haywood & Denzil Fiebig, 2024. "Medicare at 40: Are We Showing Our Age?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 57(2), pages 200-205, June.
    3. Carla Blázquez Fernández & David Cantarero-Prieto & Patricio Perez, 2024. "Did the Great Recession matter for health care utilization? An approach from the working-age population in Spain," Economics and Business Letters, Oviedo University Press, vol. 13(3), pages 122-131.

  2. Yu, Dandan & Fiebig, Denzil G., 2020. "Internet use and cognition among middle-aged and older adults in China: A cross-lagged panel analysis," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).

    Cited by:

    1. Xiaofan Zuo & Zhisheng Hong, 2022. "The Impact of Internet Use on Perception of the Poor–Rich Gap: Empirical Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    2. Angelo Leogrande, 2024. "Regular Internet Users Across the Italian Regions," Working Papers hal-04530182, HAL.
    3. Xuehao Bi & Bo Wen & Wei Zou, 2022. "The Role of Internet Development in China’s Grain Production: Specific Path and Dialectical Perspective," Agriculture, MDPI, vol. 12(3), pages 1-14, March.
    4. Lei, Lei & Yu, Dandan & Zhou, Yang, 2023. "Better educated children, better Internet-connected elderly parents," Research Policy, Elsevier, vol. 52(4).
    5. Zhihao Jia & Yan Gao & Liangyu Zhao & Suyue Han, 2022. "Longitudinal Relationship between Cognitive Function and Health-Related Quality of Life among Middle-Aged and Older Patients with Diabetes in China: Digital Usage Behavior Differences," IJERPH, MDPI, vol. 19(19), pages 1-13, September.
    6. Chengmin Zhou & Fangfang Yuan & Ting Huang & Yurong Zhang & Jake Kaner, 2022. "The Impact of Interface Design Element Features on Task Performance in Older Adults: Evidence from Eye-Tracking and EEG Signals," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
    7. Houxi Zhou & Xuebiao Zhang & Candi Ge & Jingyi Wang & Xiaolong Sun, 2023. "Does Internet Use Boost the Sustainable Subjective Well-Being of Rural Residents? Evidence from Rural China," Sustainability, MDPI, vol. 15(2), pages 1-16, January.

  3. Yu, Serena & van Gool, Kees & Hall, Jane & Fiebig, Denzil G., 2019. "Physician pricing behavior: Evidence from an Australian experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 20-34.

    Cited by:

    1. Naghsh Nejad, Maryam & Van Gool, Kees & Haywood, Philip & Hall, Jane, 2024. "Medicare Austerity Reforms and Patient Out-of-Pocket Costs: The Experience from Australian Cancer Patients," IZA Discussion Papers 16844, Institute of Labor Economics (IZA).
    2. Naghsh Nejad, Maryam & Van Gool, Kees, 2024. "Impact of Time of Diagnosis on Out-of-Pocket Costs of Cancer Treatment, a Side Effect of Health Insurance Design in Australia," IZA Discussion Papers 16879, Institute of Labor Economics (IZA).
    3. Naghsh-Nejad, Maryam & van Gool, Kees, 2024. "Impact of time of diagnosis on out-of-pocket costs of cancer treatment, a side effect of health insurance design in Australia," Health Policy, Elsevier, vol. 145(C).
    4. Sabanovic, Hana & La Brooy, Camille & Méndez, Susan J. & Yong, Jongsay & Scott, Anthony & Elshaug, Adam G. & Prang, Khic-Houy, 2023. "“It's not a one operation fits all”: A qualitative study exploring fee setting and participation in price transparency initiatives amongst medical specialists in the Australian private healthcare sect," Social Science & Medicine, Elsevier, vol. 339(C).
    5. Naghsh Nejad, Maryam & Yu, Serena & Haywood, Philip, 2023. "Provider Responses to the Expansion of Public Subsidies in Healthcare: The Case of Oral Chemotherapy Treatment in Australia," IZA Discussion Papers 16060, Institute of Labor Economics (IZA).
    6. Olukorede Abiona & Phil Haywood & Serena Yu & Jane Hall & Denzil G. Fiebig & Kees van Gool, 2024. "Physician responses to insurance benefit restrictions: The case of ophthalmology," Health Economics, John Wiley & Sons, Ltd., vol. 33(5), pages 911-928, May.

  4. Stuart J. Wright & Caroline M. Vass & Gene Sim & Michael Burton & Denzil G. Fiebig & Katherine Payne, 2018. "Accounting for Scale Heterogeneity in Healthcare-Related Discrete Choice Experiments when Comparing Stated Preferences: A Systematic Review," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(5), pages 475-488, October.

    Cited by:

    1. Buckell, John & Hess, Stephane, 2019. "Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data," Journal of Health Economics, Elsevier, vol. 65(C), pages 93-102.
    2. Catharina G. M. Groothuis-Oudshoorn & Terry N. Flynn & Hong Il Yoo & Jay Magidson & Mark Oppe, 2018. "Key Issues and Potential Solutions for Understanding Healthcare Preference Heterogeneity Free from Patient-Level Scale Confounds," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(5), pages 463-466, October.
    3. David J. Mott & Laura Ternent & Luke Vale, 2023. "Do preferences differ based on respondent experience of a health issue and its treatment? A case study using a public health intervention," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(3), pages 413-423, April.
    4. Caroline Vass & Dan Rigby & Kelly Tate & Andrew Stewart & Katherine Payne, 2018. "An Exploratory Application of Eye-Tracking Methods in a Discrete Choice Experiment," Medical Decision Making, , vol. 38(6), pages 658-672, August.
    5. Caroline M Vass & Anne Barton & Katherine Payne, 2022. "Towards Personalising the Use of Biologics in Rheumatoid Arthritis: A Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 15(1), pages 109-119, January.
    6. Mihir Gandhi & Ravindran Kanesvaran & Mohamad Farid Bin Harunal Rashid & Dawn Qingqing Chong & Wen-Yee Chay & Rachel Lee-Yin Tan & Richard Norman & Madeleine T. King & Nan Luo, 2024. "Valuation of the EORTC Quality of Life Utility Core 10 Dimensions (QLU-C10D) in a Multi-ethnic Asian Setting: How Does Having Cancer Matter?," PharmacoEconomics, Springer, vol. 42(12), pages 1413-1425, December.
    7. Vikas Soekhai & Esther W. Bekker-Grob & Alan R. Ellis & Caroline M. Vass, 2019. "Discrete Choice Experiments in Health Economics: Past, Present and Future," PharmacoEconomics, Springer, vol. 37(2), pages 201-226, February.
    8. Julie Ratcliffe & Billingsley Kaambwa & Claire Hutchinson & Emily Lancsar, 2020. "Empirical Investigation of Ranking vs Best–Worst Scaling Generated Preferences for Attributes of Quality of Life: One and the Same or Differentiable?," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 13(3), pages 307-315, June.

  5. Denzil G. Fiebig & Meliyanni Johar, 2017. "Forecasting with Micro Panels: The Case of Health Care Costs," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(1), pages 1-15, January.

    Cited by:

    1. Piotr Swierkowski & Adrian Barnett, 2018. "Identification of hospital cost drivers using sparse group lasso," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.

  6. Denzil G. Fiebig, 2017. "Big Data: Will It Improve Patient-Centered Care?," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(2), pages 133-139, April.

    Cited by:

    1. Jae H. Kim & In Choi, 2021. "Choosing the Level of Significance: A Decision‐theoretic Approach," Abacus, Accounting Foundation, University of Sydney, vol. 57(1), pages 27-71, March.

  7. Denzil G. Fiebig & Rosalie Viney & Stephanie Knox & Marion Haas & Deborah J. Street & Arne R. Hole & Edith Weisberg & Deborah Bateson, 2017. "Consideration Sets and Their Role in Modelling Doctor Recommendations About Contraceptives," Health Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 54-73, January.

    Cited by:

    1. Anna Lu, 2017. "Inference of Consumer Consideration Sets," Discussion Papers of DIW Berlin 1681, DIW Berlin, German Institute for Economic Research.
    2. Méndez, Susan J. & Scott, Anthony & Zhang, Yuting, 2021. "Gender differences in physician decisions to adopt new prescription drugs," Social Science & Medicine, Elsevier, vol. 277(C).
    3. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.
    4. Emily Lancsar & Peter Burge, 2014. "Choice modelling research in health economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 28, pages 675-687, Edward Elgar Publishing.
    5. Fiebig, D.G. & Viney, R. & Haas, M. & Knox, S. & Street, D. & Weisberg, E. & Bateson, D., 2015. "Complexity and doctor choices when discussing contraceptives," Health, Econometrics and Data Group (HEDG) Working Papers 15/14, HEDG, c/o Department of Economics, University of York.

  8. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.

    Cited by:

    1. Milte, Rachel & Huynh, Elisabeth & Ratcliffe, Julie, 2019. "Assessing quality of care in nursing homes using discrete choice experiments: How does the level of cognitive functioning impact upon older people's preferences?," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    2. Talevi, Marta & Pattanayak, Subhrendu K. & Das, Ipsita & Lewis, Jessica J. & Singha, Ashok K., 2022. "Speaking from experience: Preferences for cooking with biogas in rural India," Energy Economics, Elsevier, vol. 107(C).
    3. Lentini, Valeria & Gimenez, Gregorio & Valbuena, Javier, 2024. "Teachers' preferences for incentives to work in disadvantaged districts: A discrete choice experiment in Costa Rica," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 831-845.
    4. Geržinič, Nejc & van Cranenburgh, Sander & Cats, Oded & Lancsar, Emily & Chorus, Caspar, 2021. "Estimating decision rule differences between ‘best’ and ‘worst’ choices in a sequential best worst discrete choice experiment," Journal of choice modelling, Elsevier, vol. 41(C).
    5. Filiptseva, Anna & Filler, Günther & Odening, Martin, 2022. "Compensation Options for Quarantine Costs in Plant Production," 62nd Annual Conference, Stuttgart, Germany, September 7-9, 2022 329595, German Association of Agricultural Economists (GEWISOLA).
    6. Silvia Castro & Clarissa Mang, 2023. "Breaking the Silence: Group Discussions, and the Adoption of Welfare-Improving Technologies," Rationality and Competition Discussion Paper Series 474, CRC TRR 190 Rationality and Competition.
    7. Wehner, Caroline & de Grip, Andries & Pfeifer, Harald, 2020. "Do recruiters select workers with different personality traits for different tasks? A discrete choice experiment," ROA Research Memorandum 012, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    8. Ashlyn Hansen & Scott D. Brown & Marie B. H. Yap, 2021. "Enhancing Engagement of Fathers in Web-Based Preventive Parenting Programs for Adolescent Mental Health: A Discrete Choice Experiment," IJERPH, MDPI, vol. 18(23), pages 1-19, November.
    9. Mang, Clarissa & Castro, Silvia, 2023. "Breaking the Silence," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277639, Verein für Socialpolitik / German Economic Association.
    10. Julia Bronnmann & Veronika Liebelt & Fabian Marder & Jasper Meya & Martin Quaas, 2023. "The Value of Naturalness of Urban Green Spaces: Evidence from a Discrete Choice Experiment," Land Economics, University of Wisconsin Press, vol. 99(4), pages 528-542.
    11. Ghiglione, Franco Alexis & Ferro Moreno, Santiago, 2024. "Design of instruments for modeling economic and commercial behavior in bovine production," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 24(1), June.
    12. Emily Lancsar & Jemimah Ride & Nicole Black & Leonie Burgess & Anna Peeters, 2022. "Social acceptability of standard and behavioral economic inspired policies designed to reduce and prevent obesity," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 197-214, January.
    13. Non, Arjan & Rohde, Ingrid & de Grip, Andries & Dohmen, Thomas, 2019. "Mission of the company, prosocial attitudes and job preferences: A discrete choice experiment," ROA Research Memorandum 006, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    14. Danne, Michael & Buchholz, Matthias & Musshoff, Oliver, 2019. "An experimental analysis of German farmers’ decisions to buy or rent farmland," 165th Seminar, April 4-5, 2019, Berlin, Germany 288295, European Association of Agricultural Economists.
    15. Worawan Chandoevwit & Nada Wasi, 2020. "Incorporating Discrete Choice Experiments into Policy Decisions: Case of Designing Public Long-Term Care Insurance," PIER Discussion Papers 134, Puey Ungphakorn Institute for Economic Research.
    16. Lancsar, Emily & Gu, Yuanyuan & Gyrd-Hansen, Dorte & Butler, Jim & Ratcliffe, Julie & Bulfone, Liliana & Donaldson, Cam, 2020. "The relative value of different QALY types," Journal of Health Economics, Elsevier, vol. 70(C).
    17. Mertens, Kewan & Vranken, Liesbet, 2021. "Pro-poor land transfers in the presence of landslides: New insights on norms in land markets," Land Use Policy, Elsevier, vol. 101(C).
    18. Nordmeyer, Eike Florenz & Danne, Michael & Musshoff, Oliver, 2023. "Can satellite-retrieved data increase farmers' willingness to insure against drought? – Insights from Germany," Agricultural Systems, Elsevier, vol. 211(C).
    19. Tibesigwa, Byela & Ntuli, Herbert & Muta, Telvin, 2023. "Willingness to Pay for Nature Restoration and Conservation in Sub-Saharan African Cities: The Case of Forests, Rivers and Coasts in Dar es Salaam, Tanzania," EfD Discussion Paper 23-7, Environment for Development, University of Gothenburg.
    20. Tracy A. Comans & Kim-Huong Nguyen & Julie Ratcliffe & Donna Rowen & Brendan Mulhern, 2020. "Valuing the AD-5D Dementia Utility Instrument: An Estimation of a General Population Tariff," PharmacoEconomics, Springer, vol. 38(8), pages 871-881, August.
    21. Chen, Gang & Ratcliffe, Julie & Milte, Rachel & Khadka, Jyoti & Kaambwa, Billingsley, 2021. "Quality of care experience in aged care: An Australia-Wide discrete choice experiment to elicit preference weights," Social Science & Medicine, Elsevier, vol. 289(C).
    22. Poulissen, Davey & De Grip, Andries & Fouarge, Didier & Künn-Nelen, Annemarie, 2023. "Employers’ willingness to invest in the training of temporary versus permanent workers: A discrete choice experiment," Labour Economics, Elsevier, vol. 84(C).
    23. Charles Raux & Amandine Chevalier & Emmanuel Bougna & Denis Hilton, 2020. "Mobility choices and climate change: Assessing the effects of social norms, emissions information and economic incentives," Post-Print halshs-03045959, HAL.
    24. Spencer, Anne & Rivero-Arias, Oliver & Wong, Ruth & Tsuchiya, Aki & Bleichrodt, Han & Edwards, Rhiannon Tudor & Norman, Richard & Lloyd, Andrew & Clarke, Philip, 2022. "The QALY at 50: One story many voices," Social Science & Medicine, Elsevier, vol. 296(C).
    25. Bougherara, Douadia & Lapierre, Margaux & Préget, Raphaële & Sauquet, Alexandre, 2021. "Do farmers prefer increasing, decreasing, or stable payments in Agri-environmental schemes?," Ecological Economics, Elsevier, vol. 183(C).
    26. Oyinbo, Oyakhilomen & Chamberlin, Jordan & Vanlauwe, Bernard & Vranken, Liesbet & Kamara, Alpha & Craufurd, Peter & Maertens, Miet, 2018. "Farmers' preferences for site-specific extension services: Evidence from a choice experiment in Nigeria," Working Papers 276175, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    27. Tiziano Tempesta & Daniel Vecchiato, 2019. "Analysis of the Factors that Influence Olive Oil Demand in the Veneto Region (Italy)," Agriculture, MDPI, vol. 9(7), pages 1-17, July.
    28. Haile, Kaleab K. & Tirivayi, Nyasha & Tesfaye, Wondimagegn, 2019. "Farmers’ willingness to accept payments for ecosystem services on agricultural land: The case of climate-smart agroforestry in Ethiopia," Ecosystem Services, Elsevier, vol. 39(C).
    29. De Beckker, Kenneth & De Witte, Kristof & Van Campenhout, Geert, 2021. "The effect of financial education on students’ consumer choices: Evidence from a randomized experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 962-976.
    30. Dunsch, Felipe Alexander & Velenyi, Edit, 2019. "Job Preferences of Frontline Health Workers in Ghana - A Discrete Choice Experiment," SocArXiv bqx5k, Center for Open Science.
    31. Mercado, Waldemar & Vásquez Lavín, Felipe & Ubillus, Karina & Orihuela, Carlos Enrique, 2020. "¿Es relevante la biodiversidad en la decisión de visita a los parques nacionales en el Perú?," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 20(02), December.
    32. Filiptseva, Anna & Filler, Günther & Odening, Martin, 2023. "Compensation schemes for plant quarantine pest costs: A case study for Germany," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1381-1395.
    33. Cindybell Gamboa & Goedele Van den Broeck & Miet Maertens, 2018. "Smallholders’ Preferences for Improved Quinoa Varieties in the Peruvian Andes," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    34. Khong, Tien Dung & Young, Michael D. & Loch, Adam & Thennakoon, Jayanthi, 2018. "Mekong River Delta farm-household willingness to pay for salinity intrusion risk reduction," Agricultural Water Management, Elsevier, vol. 200(C), pages 80-89.
    35. Jemima A Frimpong & Stéphane Helleringer, 2021. "Strategies to increase downloads of COVID–19 exposure notification apps: A discrete choice experiment," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-15, November.
    36. Aleksandra Torbica & Carla Rognoni & Rosanna Tarricone, 2021. "Investigating Patients’ Preferences to Inform Drug Development Decisions: Novel Insights from a Discrete Choice Experiment in Migraine," IJERPH, MDPI, vol. 18(9), pages 1-18, May.
    37. Galárraga, Omar & Kuo, Caroline & Mtukushe, Bulelwa & Maughan-Brown, Brendan & Harrison, Abigail & Hoare, Jackie, 2020. "iSAY (incentives for South African youth): Stated preferences of young people living with HIV," Social Science & Medicine, Elsevier, vol. 265(C).
    38. Blake, Miranda R. & Lancsar, Emily & Peeters, Anna & Backholer, Kathryn, 2019. "Sugar-sweetened beverage price elasticities in a hypothetical convenience store," Social Science & Medicine, Elsevier, vol. 225(C), pages 98-107.
    39. Pamela Gongora-Salazar & Rafael Perera & Oliver Rivero-Arias & Apostolos Tsiachristas, 2024. "Unravelling Elements of Value of Healthcare and Assessing their Importance Using Evidence from Two Discrete-Choice Experiments in England," PharmacoEconomics, Springer, vol. 42(10), pages 1145-1159, October.
    40. Poulissen, Davey & de Grip, Andries & Fouarge, Didier & Künn, Annemarie, 2021. "Employers’ willingness to invest in the training of temporary workers: a discrete choice experiment," ROA Research Memorandum 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    41. Epstein, D.S. & Barton, C. & Mazza, D. & Woode, M.E. & Mortimer, D., 2020. "Patient chosen gap payments in primary care: Predictions of patient acceptability, uptake and willingness to pay from a discrete choice experiment," Social Science & Medicine, Elsevier, vol. 263(C).
    42. Möllers, Judith & Bäuml, Theresa & Dufhues, Thomas, 2022. "Understanding the market potential of products from alternative food networks in a transition economy - A discrete choice experiment," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 124(13), pages 183-199.
    43. Kotu, Bekele Hundie & Oyinbo, Oyakhilomen & Hoeschle-Zeledon, Irmgard & Nurudeen, Abdul Rahman & Kizito, Fred & Boyubie, Benedict, 2022. "Smallholder farmers’ preferences for sustainable intensification attributes in maize production: Evidence from Ghana," World Development, Elsevier, vol. 152(C).
    44. Genie, Mesfin G. & Nicoló, Antonio & Pasini, Giacomo, 2020. "The role of heterogeneity of patients’ preferences in kidney transplantation," Journal of Health Economics, Elsevier, vol. 72(C).
    45. Oedingen, Carina & Bartling, Tim & Schrem, Harald & Mühlbacher, Axel C. & Krauth, Christian, 2021. "Public preferences for the allocation of donor organs for transplantation: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 287(C).
    46. Oyinbo, Oyakhilomen & Chamberlin, Jordan & Vanlauwe, Bernard & Vranken, Liesbet & Kamara, Yaya Alpha & Craufurd, Peter & Maertens, Miet, 2019. "Farmers' preferences for high-input agriculture supported by site-specific extension services: Evidence from a choice experiment in Nigeria," Agricultural Systems, Elsevier, vol. 173(C), pages 12-26.
    47. Cameron, Lachlan & Ride, Jemimah, 2023. "The role of mental health in online gambling decisions: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 326(C).
    48. Arun Ulahannan & Stewart Birrell, 2022. "Designing Better Public Transport: Understanding Mode Choice Preferences Following the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    49. Gamboa, Cindybell & Van Den Broeck, Goedele & Maertens, Miet, 2018. "Adoption of improved quinoa varieties among smallholder farmers in the Peruvian Andes," Working Papers 277984, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    50. Nicolas Krucien & Jonathan Sicsic & Mandy Ryan, 2019. "For better or worse? Investigating the validity of best–worst discrete choice experiments in health," Health Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 572-586, April.
    51. Kaat de Corte & John Cairns & Richard Grieve, 2021. "Stated versus revealed preferences: An approach to reduce bias," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1095-1123, May.
    52. Oyinbo, O. & Maertens, M. & Chamberlin, J. & Vanlauwe, B. & Craufurd, P. & Kamara, A., 2018. "Maize Farmers Preferences for ICT-based extension services: Evidence from a Choice Experiment in Nigeria," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277328, International Association of Agricultural Economists.
    53. Ana I. Sanjuán‐López & Helena Resano‐Ezcaray, 2020. "Labels for a Local Food Speciality Product: The Case of Saffron," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 778-797, September.

  9. Denise Doiron & Denzil G. Fiebig & Meliyanni Johar & Agne Suziedelyte, 2015. "Does self-assessed health measure health?," Applied Economics, Taylor & Francis Journals, vol. 47(2), pages 180-194, January.

    Cited by:

    1. Valerii Baidin & Christopher J. Gerry & Maria Kaneva, 2021. "How Self-Rated is Self-Rated Health? Exploring the Role of Individual and Institutional Factors in Reporting Heterogeneity in Russia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 675-696, June.
    2. Cheny, L.; & Clarke, P.M.; & Petrie, D.J.; & Staub, K.E.;, 2018. "The effects of self-assessed health: Dealing with and understanding misclassification bias," Health, Econometrics and Data Group (HEDG) Working Papers 18/26, HEDG, c/o Department of Economics, University of York.
    3. Christian Bünnings, 2017. "Does new health information affect health behaviour? The effect of health events on smoking cessation," Applied Economics, Taylor & Francis Journals, vol. 49(10), pages 987-1000, February.
    4. Ubaldi, Michele & Picchio, Matteo, 2024. "In the wrong place at the wrong time: The impact of mass shooting exposure on mental health," GLO Discussion Paper Series 1510, Global Labor Organization (GLO).
    5. Bérengère Davin & Xavier Joutard & Alain Paraponaris, 2019. "“If You Were Me”: Proxy Respondents’ Biases in Population Health Surveys," AMSE Working Papers 1905, Aix-Marseille School of Economics, France.
    6. Kushneel Prakash & Sanjesh Kumar, 2021. "“Smoking your child’s job away”: Parental smoking during one’s childhood and the probability of being employed in adulthood," Melbourne Institute Working Paper Series wp2021n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    7. Costa-Font, Joan & Cowell, Frank & Shi, Xuezhu, 2024. "Health inequality and health insurance coverage: The United States and China compared," Economics & Human Biology, Elsevier, vol. 52(C).
    8. Leonardo Becchetti & Maria Bachelet & Fabio Pisani, 2019. "Poor eudaimonic subjective wellbeing as a mortality risk factor," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(1), pages 245-272, April.
    9. Ricky N. Lawton & Iulian Gramatki & Will Watt & Daniel Fujiwara, 2021. "Does Volunteering Make Us Happier, or Are Happier People More Likely to Volunteer? Addressing the Problem of Reverse Causality When Estimating the Wellbeing Impacts of Volunteering," Journal of Happiness Studies, Springer, vol. 22(2), pages 599-624, February.
    10. Debora Di Gioacchino & Emanuela Ghignoni & Laura Sabani, 2024. "Health Disparities in Europe: Insights from a Cluster Analysis of Healthcare Systems," Working Papers - Economics wp2024_08.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    11. Huong Thu Le & Ha Trong Nguyen, 2017. "Parental health and children's cognitive and noncognitive development: New evidence from the longitudinal survey of Australian children," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1767-1788, December.
    12. David Pérez-Mesa & à ngel S. Marrero, 2024. "Adult health and inequality of opportunity in Spain," Working Papers 671, ECINEQ, Society for the Study of Economic Inequality.
    13. Fang, Guanfu & Tang, Tianyu & Zhao, Fang & Zhu, Ying, 2023. "The social scar of the pandemic: Impacts of COVID-19 exposure on interpersonal trust," Journal of Asian Economics, Elsevier, vol. 86(C).
    14. Beatty, Timothy K.M. & Ritter, Joseph A., 2018. "Measuring the Health Cost of Prolonged Unemployment: Evidence from the Great Recession," Staff Papers 280435, University of Minnesota, Department of Applied Economics.
    15. Leonardo Becchetti & Maria Bachelet & Fabiola Riccardini, 2018. "Not feeling well … true or exaggerated? Self‐assessed health as a leading health indicator," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 153-170, February.
    16. Cheng, Zhiming & Wang, Ben Zhe & Taksa, Lucy, 2017. "Labour Force Participation and Employment of Humanitarian Migrants: Evidence from the Building a New Life in Australia Longitudinal Data," GLO Discussion Paper Series 106, Global Labor Organization (GLO).
    17. Wang, Haining & Cheng, Zhiming & Smyth, Russell, 2019. "Health outcomes, health inequality and Mandarin proficiency in urban China," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    18. Anthony Lepinteur, 2021. "The asymmetric experience of gains and losses in job security on health," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2217-2229, September.
    19. Kokot, Johanna, 2017. "Does a spouse's health shock influence the partner's risk attitudes?," Ruhr Economic Papers 707, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    20. Lenzen, Sabrina & Birch, Stephen, 2023. "From population numbers to population needs: Incorporating epidemiological change into health service planning in Australia," Social Science & Medicine, Elsevier, vol. 328(C).
    21. Karlsson, Martin & Klohn, Florian & Rickayzen, Ben, 2018. "The role of heterogeneous parameters for the detection of selection in insurance contracts," Insurance: Mathematics and Economics, Elsevier, vol. 83(C), pages 110-121.
    22. Prakash, Kushneel & Munyanyi, Musharavati Ephraim, 2021. "Energy poverty and obesity," Energy Economics, Elsevier, vol. 101(C).
    23. Kovacic, Matija & Orso, Cristina Elisa, 2022. "Trends in inequality of opportunity in health over the life cycle: The role of early-life conditions," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 60-82.
    24. Maria Alessandra Antonelli & Giorgia Marini, 2023. "Good health with good institutions. An empirical analysis for italian regions," Public Finance Research Papers 61, Istituto di Economia e Finanza, DSGE, Sapienza University of Rome.
    25. Yumi Ishikawa & Miki Kohara & Aya Nushimoto, 2022. "Job stress and mental health among social workers: evidence from a field experiment at a public employment support institution in Japan," The Japanese Economic Review, Springer, vol. 73(1), pages 123-146, January.
    26. Costa-Font, Joan & Cowell, Frank A. & Shi, Xuezhu, 2023. "Health Inequality and Health Insurance Coverage: The United States and China Compared," IZA Discussion Papers 16629, Institute of Labor Economics (IZA).
    27. Petra Maresova & Blanka Klimova & Kamil Kuca, 2016. "Financial and legislative aspects of drug development of orphan diseases on the European market -- a systematic review," Applied Economics, Taylor & Francis Journals, vol. 48(27), pages 2562-2570, June.
    28. Bousmah, Marwân-al-Qays & Combes, Jean-Baptiste Simon & Abu-Zaineh, Mohammad, 2019. "Health differentials between citizens and immigrants in Europe: A heterogeneous convergence," Health Policy, Elsevier, vol. 123(2), pages 235-243.
    29. Xiaoxue Li & Sarah S. Stith, 2020. "Health insurance and self‐assessed health: New evidence from Affordable Care Act repeal fear," Health Economics, John Wiley & Sons, Ltd., vol. 29(9), pages 1078-1085, September.

  10. van den Berg, Bernard & Fiebig, Denzil G. & Hall, Jane, 2014. "Well-being losses due to care-giving," Journal of Health Economics, Elsevier, vol. 35(C), pages 123-131.

    Cited by:

    1. Peter Eibich & Thomas Siedler, 2020. "Retirement, Intergenerational Time Transfers, and Fertility," SOEPpapers on Multidisciplinary Panel Data Research 1073, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Lawrence B. Sacco & Stefanie König & Hugo Westerlund & Loretta G. Platts, 2022. "Informal Caregiving and Quality of Life Among Older Adults: Prospective Analyses from the Swedish Longitudinal Occupational Survey of Health (SLOSH)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(2), pages 845-866, April.
    3. Sinha, Aashima & Kumar Sedai, Ashish & Bahadur Rahut, Dil & Sonobe, Tetsushi, 2024. "Well-being costs of unpaid care: Gendered evidence from a contextualized time-use survey in India," World Development, Elsevier, vol. 173(C).
    4. McDonald, Rebecca & Powdthavee, Nattavudh, 2018. "The Shadow Prices of Voluntary Caregiving: Using Panel Data of Well-Being to Estimate the Cost of Informal Care," IZA Discussion Papers 11545, Institute of Labor Economics (IZA).
    5. Marie Blaise & Sandrine Juin & Hélène Le Forner & Quitterie Roquebert, 2024. "I care, you clean? Gendered effects of informal care on couple housework and leisure time," LISER Working Paper Series 2024-05, Luxembourg Institute of Socio-Economic Research (LISER).
    6. Sibylle Puntscher & Janette Walde & Gottfried Tappeiner, 2016. "Do methodical traps lead to wrong development strategies for welfare? A multilevel approach considering heterogeneity across industrialized and developing countries," Working Papers 2016-01, Faculty of Economics and Statistics, Universität Innsbruck.
    7. Schmitz, Hendrik & Westphal, Matthias, 2015. "Short- and medium-term effects of informal care provision on female caregivers’ health," Journal of Health Economics, Elsevier, vol. 42(C), pages 174-185.
    8. Lien Nguyen & Hanna Jokimäki & Ismo Linnosmaa & Eirini-Christina Saloniki & Laurie Batchelder & Juliette Malley & Hui Lu & Peter Burge & Birgit Trukeschitz & Julien Forder, 2022. "Valuing informal carers’ quality of life using best-worst scaling—Finnish preference weights for the Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer)," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(3), pages 357-374, April.
    9. Bom, Judith & Bakx, Pieter & Schut, Frederik & van Doorslaer, Eddy, 2019. "Health effects of caring for and about parents and spouses," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    10. Sandrine Juin, 2016. "Care for dependent elderly people : dealing with health and financing issues," Erudite Ph.D Dissertations, Erudite, number ph16-02 edited by Thomas Barnay.
    11. Guogui Huang & Fei Guo & Gong Chen, 2022. "The Role and Wellbeing of Female Family Caregivers in the Provision of Aged Care in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(2), pages 707-731, January.
    12. Saki Sugano, 2016. "The Well-Being of Elderly Survivors after Natural Disasters: Measuring the Impact of the Great East Japan Earthquake," The Japanese Economic Review, Japanese Economic Association, vol. 67(2), pages 211-229, June.
    13. Costa-Font, Joan & Vilaplana-Prieto, Cristina, 2022. "Mental health effects of caregivers respite: subsidies or supports?," LSE Research Online Documents on Economics 115483, London School of Economics and Political Science, LSE Library.
    14. Chen, Lu & Fan, Hongli & Chu, Lanlan, 2019. "The hidden cost of informal care: An empirical study on female caregivers' subjective well-being," Social Science & Medicine, Elsevier, vol. 224(C), pages 85-93.
    15. Saki Sugano, 2016. "The Well-Being of Elderly Survivors After Natural Disasters: Measuring the Impact of the Great East Japan Earthquake," The Japanese Economic Review, Springer, vol. 67(2), pages 211-229, June.
    16. Urwin, Sean & Lau, Yiu-Shing & Grande, Gunn & Sutton, Matt, 2021. "The extent and predictors of discrepancy between provider and recipient reports of informal caregiving," Social Science & Medicine, Elsevier, vol. 277(C).
    17. Thomas Barnay & Sandrine Juin, 2016. "Does home care for dependent elderly people improve their mental health?," Post-Print hal-01297508, HAL.
    18. Yoko Niimi, 2016. "The “Costs” of informal care: an analysis of the impact of elderly care on caregivers’ subjective well-being in Japan," Review of Economics of the Household, Springer, vol. 14(4), pages 779-810, December.
    19. Hareth Al-Janabi & Andrea Manca & Joanna Coast, 2017. "Predicting carer health effects for use in economic evaluation," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-18, September.
    20. Odermatt, Reto & Stutzer, Alois, 2017. "Subjective Well-Being and Public Policy," IZA Discussion Papers 11102, Institute of Labor Economics (IZA).
    21. Elisa Labbas & Maria Stanfors, 2023. "Does Caring for Parents Take Its Toll? Gender Differences in Caregiving Intensity, Coresidence, and Psychological Well-Being Across Europe," European Journal of Population, Springer;European Association for Population Studies, vol. 39(1), pages 1-29, December.
    22. Sacco, Lawrence B & König, Stefanie & Westerlund, Hugo & Platts, Loretta G., 2020. "Informal caregiving and quality of life among older adults: Prospective analyses from the Swedish Longitudinal Occupational Survey of Health (SLOSH)," SocArXiv qk6xr, Center for Open Science.
    23. Dauth, Christine & Lang, Julia, 2017. "Should the unemployed care for the elderly? : The effect of subsidized occupational and further training in elderly care," IAB-Discussion Paper 201713, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    24. Sandrine Juin, 2019. "Formal home care, informal support and caregiver health: should other people care?," Erudite Working Paper 2019-21, Erudite.
    25. Simard-Duplain, Gaëlle, 2022. "Heterogeneity in informal care intensity and its impact on employment," Journal of Health Economics, Elsevier, vol. 86(C).
    26. Lang, Julia & Dauth, Christine, 2017. "Should the unemployed care for the elderly? The effect of subsidized occupational and further training in geriatric care," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168130, Verein für Socialpolitik / German Economic Association.
    27. Coe, Norma B. & Goda, Gopi Shah & Van Houtven, Courtney Harold, 2023. "Family spillovers and long-term care insurance," Journal of Health Economics, Elsevier, vol. 90(C).
    28. Mujcic, Redzo, 2014. "Are fruit and vegetables good for our mental and physical health? Panel data evidence from Australia," MPRA Paper 59149, University Library of Munich, Germany.
    29. Marie Blaise & Laetitia Dillenseger, 2023. "Informal Caregivers and Life Satisfaction: Empirical Evidence from the Netherlands," Journal of Happiness Studies, Springer, vol. 24(6), pages 1883-1930, August.
    30. Vivian Y. W. Guo & Carlos K. H. Wong & Rosa S. M. Wong & Esther Y. T. Yu & Patrick Ip & Cindy L. K. Lam, 2018. "Spillover Effects of Maternal Chronic Disease on Children’s Quality of Life and Behaviors Among Low-Income Families," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(6), pages 625-635, December.
    31. Howley, Peter, 2017. "Less money or better health? Evaluating individual’s willingness to make trade-offs using life satisfaction data," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 53-65.
    32. P.L. de Zwart & P. Bakx & E.K.A. van Doorslaer, 2016. "Will you still need me, will you still feed me when I’m 64? The Health Impact of Caregiving," Tinbergen Institute Discussion Papers 16-106/V, Tinbergen Institute.
    33. Renske J. Hoefman & Job Exel & Werner B. F. Brouwer, 2019. "The Monetary Value of Informal Care: Obtaining Pure Time Valuations Using a Discrete Choice Experiment," PharmacoEconomics, Springer, vol. 37(4), pages 531-540, April.
    34. Howley, P., 2016. "Valuing the benefits from health care interventions using life satisfaction data," Health, Econometrics and Data Group (HEDG) Working Papers 16/01, HEDG, c/o Department of Economics, University of York.
    35. Iban Ortuzar & Gemma Renart & Angels Xabadia, 2021. "Effects of Public Healthcare Budget Cuts on Life Satisfaction in Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 311-337, July.
    36. Zhu, Rong & Onur, Ilke, 2023. "Does retirement (really) increase informal caregiving? Quasi-experimental evidence from Australia," Journal of Health Economics, Elsevier, vol. 87(C).

  11. Doiron, Denise & Fiebig, Denzil G. & Suziedelyte, Agne, 2014. "Hips and hearts: The variation in incentive effects of insurance across hospital procedures," Journal of Health Economics, Elsevier, vol. 37(C), pages 81-97.
    See citations under working paper version above.
  12. Randall P. Ellis & Denzil G. Fiebig & Meliyanni Johar & Glenn Jones & Elizabeth Savage, 2013. "Explaining Health Care Expenditure Variation: Large‐Sample Evidence Using Linked Survey And Health Administrative Data," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1093-1110, September.
    See citations under working paper version above.
  13. Knox, Stephanie A. & Viney, Rosalie C. & Gu, Yuanyuan & Hole, Arne R. & Fiebig, Denzil G. & Street, Deborah J. & Haas, Marion R. & Weisberg, Edith & Bateson, Deborah, 2013. "The effect of adverse information and positive promotion on women's preferences for prescribed contraceptive products," Social Science & Medicine, Elsevier, vol. 83(C), pages 70-80.

    Cited by:

    1. Haotian Cheng & Dayton M. Lambert & Karen L. DeLong & Kimberly L. Jensen, 2022. "Inattention, availability bias, and attribute premium estimation for a biobased product," Agricultural Economics, International Association of Agricultural Economists, vol. 53(2), pages 274-288, March.
    2. Arne Risa Hole & Hong Il Yoo, 2017. "The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(5), pages 997-1013, November.
    3. Terris-Prestholt, Fern & Mulatu, Abay & Quaife, Matthew & Gafos, Mitzy & Medley, Graham F. & MacPhail, Catherine & Hanson, Kara, 2021. "Using choice experiments to improve equity in access to socially marketed HIV prevention products," Journal of choice modelling, Elsevier, vol. 41(C).
    4. Yuanyuan Gu & Arne Risa Hole & Stephanie Knox, 2013. "Fitting the generalized multinomial logit model in Stata," Stata Journal, StataCorp LP, vol. 13(2), pages 382-397, June.

  14. Buchmueller, Thomas C. & Fiebig, Denzil G. & Jones, Glenn & Savage, Elizabeth, 2013. "Preference heterogeneity and selection in private health insurance: The case of Australia," Journal of Health Economics, Elsevier, vol. 32(5), pages 757-767.

    Cited by:

    1. Nghiem, Son & Graves, Nicholas, 2019. "Selection bias and moral hazard in the Australian private health insurance market: Evidence from the Queensland skin cancer database," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 259-265.
    2. Buchmueller, Thomas C. & Johar, Meliyanni, 2015. "Obesity and health expenditures: Evidence from Australia," Economics & Human Biology, Elsevier, vol. 17(C), pages 42-58.
    3. Nathan Kettlewell, 2019. "Utilization and Selection in an Ancillaries Health Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 86(4), pages 989-1017, December.
    4. Denise Doiron & Nathan Kettlewell, 2020. "Family formation and the demand for health insurance," Health Economics, John Wiley & Sons, Ltd., vol. 29(4), pages 523-533, April.
    5. Ha Trong Nguyen & Huong Thu Le & Luke Connelly & Francis Mitrou, 2023. "Accuracy of self‐reported private health insurance coverage," Health Economics, John Wiley & Sons, Ltd., vol. 32(12), pages 2709-2729, December.
    6. P. Marcin Sowa & Sam Kault & Joshua Byrnes & Shu-Kay Ng & Tracy Comans & Paul A. Scuffham, 2018. "Private Health Insurance Incentives in Australia: In Search of Cost-Effective Adjustments," Applied Health Economics and Health Policy, Springer, vol. 16(1), pages 31-41, February.
    7. Peter Zweifel & H. E. Frech, 2016. "Why ‘Optimal’ Payment for Healthcare Providers Can Never be Optimal Under Community Rating," Applied Health Economics and Health Policy, Springer, vol. 14(1), pages 9-20, February.
    8. Kwame Adjei-Mantey & Charles Yuji Horioka, 2022. "Determinants of Health Insurance Enrollment and Health Expenditure in Ghana: An Empirical Analysis," NBER Working Papers 30175, National Bureau of Economic Research, Inc.
    9. Panthöfer, S., 2015. "Risk selection under public health insurance with opt-out," Health, Econometrics and Data Group (HEDG) Working Papers 15/15, HEDG, c/o Department of Economics, University of York.
    10. Bonsang, Eric & Costa-Font, Joan, 2022. "Buying control? ‘Locus of control’ and the uptake of supplementary health insurance," LSE Research Online Documents on Economics 117144, London School of Economics and Political Science, LSE Library.
    11. Guangsheng Wan & Zixuan Peng & Yufeng Shi & Peter C. Coyte, 2020. "What Are the Determinants of the Decision to Purchase Private Health Insurance in China?," IJERPH, MDPI, vol. 17(15), pages 1-15, July.
    12. Saruultuya Tsendsuren & Chu-Shiu Li & Sheng-Chang Peng & Wing-Keung Wong, 2018. "The Effects of Health Status on Life Insurance Holdings in 16 European Countries," Sustainability, MDPI, vol. 10(10), pages 1-30, September.
    13. Ko, Hansoo, 2020. "Moral hazard effects of supplemental private health insurance in Korea," Social Science & Medicine, Elsevier, vol. 265(C).
    14. Lan Nguyen & Andrew C. Worthington, 2023. "Moral hazard in Australian private health insurance: the case of dental care services and extras cover," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(1), pages 157-176, January.
    15. Kettlewell, Nathan, 2020. "Subjective Expectations for Health Service Use and Consequences for Health Insurance Behavior," IZA Discussion Papers 13445, Institute of Labor Economics (IZA).
    16. Bührer, Christian & Fetzer, Stefan & Hagist, Christian, 2020. "Adverse selection in the German Health Insurance System – the case of civil servants," Health Policy, Elsevier, vol. 124(8), pages 888-894.
    17. Clifford Afoakwah & Joshua Byrnes & Paul Scuffham & Son Nghiem, 2023. "Testing for selection bias and moral hazard in private health insurance: Evidence from a mixed public‐private health system," Health Economics, John Wiley & Sons, Ltd., vol. 32(1), pages 3-24, January.
    18. Buchmueller, Thomas C. & Cheng, Terence C. & Pham, Ngoc T.A. & Staub, Kevin E., 2021. "The effect of income-based mandates on the demand for private hospital insurance and its dynamics," Journal of Health Economics, Elsevier, vol. 75(C).
    19. Jiang, Yawen & Ni, Weiyi, 2020. "Impact of supplementary private health insurance on hospitalization and physical examination in China," China Economic Review, Elsevier, vol. 63(C).
    20. Nathan Kettlewell, 2020. "Policy Choice and Product Bundling in a Complicated Health Insurance Market: Do People Get It Right?," Journal of Human Resources, University of Wisconsin Press, vol. 55(2), pages 566-610.
    21. Karlsson, Martin & Klohn, Florian & Rickayzen, Ben, 2018. "The role of heterogeneous parameters for the detection of selection in insurance contracts," Insurance: Mathematics and Economics, Elsevier, vol. 83(C), pages 110-121.
    22. Capatina, Elena, 2020. "Selection in employer sponsored health insurance," Journal of Health Economics, Elsevier, vol. 71(C).
    23. Tianxu Chen, 2019. "Can Health Savings Account Reduce Health Spending?: Evidence from China," Working papers 2019-08, University of Connecticut, Department of Economics.
    24. Jan Michael Bauer & Jörg Schiller & Christopher Schreckenberger, 2020. "Heterogeneous selection in the market for private supplemental dental insurance: evidence from Germany," Empirical Economics, Springer, vol. 59(1), pages 205-231, July.
    25. Terence C. Cheng & Alfons Palangkaraya & Jongsay Yong, 2014. "Hospital utilization in mixed public--private system: evidence from Australian hospital data," Applied Economics, Taylor & Francis Journals, vol. 46(8), pages 859-870, March.
    26. Denise Doiron & Nathan Kettlewell, 2018. "The Effect of Health Insurance on the Substitution between Public and Private Hospital Care," The Economic Record, The Economic Society of Australia, vol. 94(305), pages 135-154, June.
    27. Omar Paccagnella & Vincenzo Rebba & Guglielmo Weber, 2013. "VOLUNTARY PRIVATE HEALTH INSURANCE AMONG THE OVER 50s IN EUROPE," Health Economics, John Wiley & Sons, Ltd., vol. 22(3), pages 289-315, March.
    28. Simona Laura Dragos & Codruta Mare & Cristian Mihai Dragos & Gabriela Mihaela Muresan & Alexandra-Anca Purcel, 2022. "Does voluntary health insurance improve health and longevity? Evidence from European OECD countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(8), pages 1397-1411, November.
    29. Timothy Ludlow & Jonas Fooken & Christiern Rose & Kam Ki Tang, 2024. "Out-of-pocket expenditure, need, utilisation, and private health insurance in the Australian healthcare system," International Journal of Health Economics and Management, Springer, vol. 24(1), pages 33-56, March.
    30. Joshua Byrnes & Melinda Carrington & Yih-Kai Chan & Christine Pollicino & Natalie Dubrowin & Simon Stewart & Paul A Scuffham, 2015. "Cost-Effectiveness of a Home Based Intervention for Secondary Prevention of Readmission with Chronic Heart Disease," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-13, December.

  15. Meliyanni Johar & Denzil G. Fiebig & Marion Haas & Rosalie Viney, 2013. "Using repeated choice experiments to evaluate the impact of policy changes on cervical screening," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1845-1855, May.

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    2. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.

  16. Stephanie A. Knox & Rosalie C. Viney & Deborah J. Street & Marion R. Haas & Denzil G. Fiebig & Edith Weisberg & Deborah Bateson, 2012. "What’s Good and Bad About Contraceptive Products?," PharmacoEconomics, Springer, vol. 30(12), pages 1187-1202, December.

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    1. Knox, Stephanie A. & Viney, Rosalie C. & Gu, Yuanyuan & Hole, Arne R. & Fiebig, Denzil G. & Street, Deborah J. & Haas, Marion R. & Weisberg, Edith & Bateson, Deborah, 2013. "The effect of adverse information and positive promotion on women's preferences for prescribed contraceptive products," Social Science & Medicine, Elsevier, vol. 83(C), pages 70-80.

  17. Denzil G. Fiebig & Stephanie Knox & Rosalie Viney & Marion Haas & Deborah J. Street, 2011. "Preferences for new and existing contraceptive products," Health Economics, John Wiley & Sons, Ltd., vol. 20(S1), pages 35-52, September.

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    1. Buckell, John & Hess, Stephane, 2019. "Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data," Journal of Health Economics, Elsevier, vol. 65(C), pages 93-102.
    2. Anthony Scott & Julia Witt, 2015. "Loss Aversion, Reference Dependence and Diminishing Sensitivity in Choice Experiments," Melbourne Institute Working Paper Series wp2015n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    3. Pedro Ramos & Hélio Alves & Paulo Guimarães & Maria A. Ferreira, 2017. "Junior doctors’ medical specialty and practice location choice: simulating policies to overcome regional inequalities," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(8), pages 1013-1030, November.
    4. Worawan Chandoevwit & Nada Wasi, 2020. "Incorporating Discrete Choice Experiments into Policy Decisions: Case of Designing Public Long-Term Care Insurance," PIER Discussion Papers 134, Puey Ungphakorn Institute for Economic Research.
    5. Jennifer A. Whitty & Julie Ratcliffe & Gang Chen & Paul A. Scuffham, 2014. "Australian Public Preferences for the Funding of New Health Technologies," Medical Decision Making, , vol. 34(5), pages 638-654, July.
    6. Arne Risa Hole & Richard Norman & Rosalie Viney, 2016. "Response Patterns in Health State Valuation Using Endogenous Attribute Attendance and Latent Class Analysis," Health Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 212-224, February.
    7. Stephanie A. Knox & Rosalie C. Viney & Deborah J. Street & Marion R. Haas & Denzil G. Fiebig & Edith Weisberg & Deborah Bateson, 2012. "What’s Good and Bad About Contraceptive Products?," PharmacoEconomics, Springer, vol. 30(12), pages 1187-1202, December.
    8. Mark Harrison & Dan Rigby & Caroline Vass & Terry Flynn & Jordan Louviere & Katherine Payne, 2014. "Risk as an Attribute in Discrete Choice Experiments: A Systematic Review of the Literature," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 7(2), pages 151-170, June.
    9. Rosalie Viney & Richard Norman & John Brazier & Paula Cronin & Madeleine T. King & Julie Ratcliffe & Deborah Street, 2014. "An Australian Discrete Choice Experiment To Value Eq‐5d Health States," Health Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 729-742, June.
    10. Sivey, Peter & Scott, Anthony & Witt, Julia & Joyce, Catherine & Humphreys, John, 2012. "Junior doctors’ preferences for specialty choice," Journal of Health Economics, Elsevier, vol. 31(6), pages 813-823.
    11. Christine Michaels-Igbokwe & Mylene Lagarde & John Cairns & Fern Terris-Prestholt, 2015. "Designing a package of sexual and reproductive health and HIV outreach services to meet the heterogeneous preferences of young people in Malawi: results from a discrete choice experiment," Health Economics Review, Springer, vol. 5(1), pages 1-19, December.
    12. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.
    13. Denzil G. Fiebig, 2017. "Big Data: Will It Improve Patient-Centered Care?," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(2), pages 133-139, April.
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    15. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    16. Denzil G. Fiebig & Rosalie Viney & Stephanie Knox & Marion Haas & Deborah J. Street & Arne R. Hole & Edith Weisberg & Deborah Bateson, 2017. "Consideration Sets and Their Role in Modelling Doctor Recommendations About Contraceptives," Health Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 54-73, January.
    17. Brown, Paul & Panattoni, Laura & Cameron, Linda & Knox, Stephanie & Ashton, Toni & Tenbensel, Tim & Windsor, John, 2015. "Hospital sector choice and support for public hospital care in New Zealand: Results from a labeled discrete choice survey," Journal of Health Economics, Elsevier, vol. 43(C), pages 118-127.
    18. Knox, Stephanie A. & Viney, Rosalie C. & Gu, Yuanyuan & Hole, Arne R. & Fiebig, Denzil G. & Street, Deborah J. & Haas, Marion R. & Weisberg, Edith & Bateson, Deborah, 2013. "The effect of adverse information and positive promotion on women's preferences for prescribed contraceptive products," Social Science & Medicine, Elsevier, vol. 83(C), pages 70-80.
    19. Blake, Miranda R. & Lancsar, Emily & Peeters, Anna & Backholer, Kathryn, 2019. "Sugar-sweetened beverage price elasticities in a hypothetical convenience store," Social Science & Medicine, Elsevier, vol. 225(C), pages 98-107.
    20. Juan M. Gonzalez Sepulveda & F. Reed Johnson & Deborah A. Marshall, 2021. "Incomplete information and irrelevant attributes in stated‐preference values for health interventions," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2637-2648, November.
    21. Christine Michaels-Igbokwe & Fern Terris-Prestholt & Mylene Lagarde & Effie Chipeta & the Integra Initiative & John Cairns, 2015. "Young People’s Preferences for Family Planning Service Providers in Rural Malawi: A Discrete Choice Experiment," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-18, December.
    22. Fiebig, D.G. & Viney, R. & Haas, M. & Knox, S. & Street, D. & Weisberg, E. & Bateson, D., 2015. "Complexity and doctor choices when discussing contraceptives," Health, Econometrics and Data Group (HEDG) Working Papers 15/14, HEDG, c/o Department of Economics, University of York.
    23. Esther Bekker-Grob & John Rose & Michiel Bliemer, 2013. "A Closer Look at Decision and Analyst Error by Including Nonlinearities in Discrete Choice Models: Implications on Willingness-to-Pay Estimates Derived from Discrete Choice Data in Healthcare," PharmacoEconomics, Springer, vol. 31(12), pages 1169-1183, December.
    24. Yuanyuan Gu & Arne Risa Hole & Stephanie Knox, 2013. "Fitting the generalized multinomial logit model in Stata," Stata Journal, StataCorp LP, vol. 13(2), pages 382-397, June.
    25. Lancsar, Emily & Louviere, Jordan & Donaldson, Cam & Currie, Gillian & Burgess, Leonie, 2013. "Best worst discrete choice experiments in health: Methods and an application," Social Science & Medicine, Elsevier, vol. 76(C), pages 74-82.
    26. Buttorff, Christine & Trujillo, Antonio J. & Diez-Canseco, Francisco & Bernabe-Ortiz, Antonio & Miranda, J. Jaime, 2015. "Evaluating consumer preferences for healthy eating from Community Kitchens in low-income urban areas: A discrete choice experiment of Comedores Populares in Peru," Social Science & Medicine, Elsevier, vol. 140(C), pages 1-8.

  18. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.

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    3. Jordan Louviere & Terry Flynn, 2010. "Using Best-Worst Scaling Choice Experiments to Measure Public Perceptions and Preferences for Healthcare Reform in Australia," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 3(4), pages 275-283, December.
    4. Wan, Alan T.K. & Zhang, Xinyu & Wang, Shouyang, 2014. "Frequentist model averaging for multinomial and ordered logit models," International Journal of Forecasting, Elsevier, vol. 30(1), pages 118-128.
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    9. Feil, Jan-Henning & Anastassiadis, Friederike & Mußhoff, Oliver & Kasten, Philipp, 2015. "Analyzing farmers' preferences for collaborative arrangements: An experimental approach," DARE Discussion Papers 1510, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    10. 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.
    11. Didier Nibbering, 2023. "A High-dimensional Multinomial Logit Model," Monash Econometrics and Business Statistics Working Papers 19/23, Monash University, Department of Econometrics and Business Statistics.
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      • Dellaert, B.G.C. & Swait, J. & Adamowicz, W.L. & Arentze, T.A. & Bruch, E.E. & Cherchi, E. & Chorus, C.G. & Donkers, A.C.D. & Feinberg, F.M. & Marley, A.A.J. & Salisbury, L.C., 2017. "Individuals' Decisions in the Presence of Multiple Goals," ERIM Report Series Research in Management ERS-2017-007-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    31. Riise, Julie & Hole, Arne Risa & Gyrd-Hansen, Dorte & Skåtun, Diane, 2015. "GPs’ implicit prioritization through clinical choices – evidence from three national health services," Working Papers in Economics 02/15, University of Bergen, Department of Economics.
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    34. Jordan J. Louviere, 2013. "Modeling single individuals: the journey from psych lab to the app store," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 1, pages 1-47, Edward Elgar Publishing.
    35. Godager, Geir & Hennig-Schmidt, Heike & Li, Jing Jing & Wang, Jian & Yang, Fan, 2021. "Does gender affect medical decisions? Results from a behavioral experiment with physicians and medical students," HERO Online Working Paper Series 2021:1, University of Oslo, Health Economics Research Programme.
    36. Jeff Luckstead & Heather A. Snell & Lawton Lanier Nalley & Rodolfo M. Nayga & Joshua Sarpaning, 2022. "A multi‐country study on consumers' valuation for child‐labor‐free chocolate: Implications for child labor in cocoa production," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(2), pages 1021-1048, June.
    37. Anthony Scott & Peter Sivey, 2017. "Motivation and Competition in Health Care," Melbourne Institute Working Paper Series wp2017n05, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    38. Carlos Carrion & Nebiyou Tilahun & David Levinson, 2011. "Monte Carlo Simulation of Adaptive Stated Preference Survey with a case study: Effects of Aggregate Mode Shares on Individual Mode Choice," Working Papers 000093, University of Minnesota: Nexus Research Group.
    39. Kassie, Girma T. & Zeleke, Fresenbet & Birhanu, Mulugeta Y. & Scarpa, Riccardo, 2020. "Reminder Nudge, Attribute Nonattendance, and Willingness to Pay in a Discrete Choice Experiment," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304208, Agricultural and Applied Economics Association.
    40. Vinit Kumar Mishra & Karthik Natarajan & Dhanesh Padmanabhan & Chung-Piaw Teo & Xiaobo Li, 2014. "On Theoretical and Empirical Aspects of Marginal Distribution Choice Models," Management Science, INFORMS, vol. 60(6), pages 1511-1531, June.
    41. William Greene & David Hensher, 2010. "Does scale heterogeneity across individuals matter? An empirical assessment of alternative logit models," Transportation, Springer, vol. 37(3), pages 413-428, May.
    42. J. Price & D. Dupont & W. Adamowicz, 2017. "As Time Goes By: Examination of Temporal Stability Across Stated Preference Question Formats," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 643-662, November.
    43. Rungie, Cam M. & Coote, Leonard V. & Louviere, Jordan J., 2012. "Latent variables in discrete choice experiments," Journal of choice modelling, Elsevier, vol. 5(3), pages 145-156.
    44. Wendong Zhang & Brent Sohngen, 2018. "Do US Anglers Care about Harmful Algal Blooms? A discrete choice experiment of Lake Erie recreational anglers," Center for Agricultural and Rural Development (CARD) Publications 17-wp573, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    45. Mikołaj Czajkowski & Marek Giergiczny & William H. Greene, 2012. "Learning and Fatigue Effects Revisited. The Impact of Accounting for Unobservable Preference and Scale Heterogeneity on Perceived Ordering Effects in Multiple Choice Task Discrete Choice Experiments," Working Papers 2012-08, Faculty of Economic Sciences, University of Warsaw.
    46. Costanigro, Marco & Onozaka, Yuko, 2018. "A Belief-Preference Model of Choice for Experience and Credence Goods," Working Papers 276053, Colorado State University, Department of Agricultural and Resource Economics.
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    50. Lien Nguyen & Hanna Jokimäki & Ismo Linnosmaa & Eirini-Christina Saloniki & Laurie Batchelder & Juliette Malley & Hui Lu & Peter Burge & Birgit Trukeschitz & Julien Forder, 2022. "Valuing informal carers’ quality of life using best-worst scaling—Finnish preference weights for the Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer)," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(3), pages 357-374, April.
    51. Anthony Scott & Julia Lane & John Humphreys & Catherine Joyce & Guyonne Kalb & Sung-Hee Jeon & Matthew McGrail, 2012. "Getting Doctors into the Bush: General Practitioners' Preferences for Rural Location," Melbourne Institute Working Paper Series wp2012n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    52. Wongprawmas, Rungsaran & Canavari, Maurizio, 2017. "Consumers’ willingness-to-pay for food safety labels in an emerging market: The case of fresh produce in Thailand," Food Policy, Elsevier, vol. 69(C), pages 25-34.
    53. Phillips, Yvonne & Marsh, Dan, 2015. "Virtual Reality and Scope Sensitivity in a Choice Experiment About Coastal Erosion," 2015 Conference (59th), February 10-13, 2015, Rotorua, New Zealand 202571, Australian Agricultural and Resource Economics Society.
    54. Khanal, Badri & Schoengold, Karina & Mieno, Taro & Schulte Moore, Lisa, 2020. "Valuation of Prairie Strips Ecosystem Services using a Choice Experiment of Stated Preferences," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304418, Agricultural and Applied Economics Association.
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    57. Zhang, Xumin & Khachatryan, Hayk & Gao, Zhifeng, 2020. "Using Mixed Logit Based Models to Control Attribute Nonattendance in Choice Experiments," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304547, Agricultural and Applied Economics Association.
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    61. John C. Whitehead & Daniel K. Lew, 2016. "Estimating Recreation Benefits through Joint Estimation of Revealed and Stated Preference Discrete Choice Data," Working Papers 16-22, Department of Economics, Appalachian State University.
    62. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
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    65. Jennifer A. Whitty & Julie Ratcliffe & Gang Chen & Paul A. Scuffham, 2014. "Australian Public Preferences for the Funding of New Health Technologies," Medical Decision Making, , vol. 34(5), pages 638-654, July.
    66. Richter, Laura-Lucia & Pollitt, Michael G., 2018. "Which smart electricity service contracts will consumers accept? The demand for compensation in a platform market," Energy Economics, Elsevier, vol. 72(C), pages 436-450.
    67. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    68. Richard T. Carson & Joshua Graff Zivin & Jordan J. Louviere & Sally Sadoff & Jeffrey G. Shrader, 2022. "The Risk of Caution: Evidence from an Experiment," Management Science, INFORMS, vol. 68(12), pages 9042-9060, December.
    69. Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
    70. Clark, Harrison & Chen, Xuqi & Yenerall, Jackie, 2024. "Consumer Preferences for Online Grocery Shopping Attributes and Implications for Nutrition Security," 2024 Annual Meeting, July 28-30, New Orleans, LA 343781, Agricultural and Applied Economics Association.
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    302. Puckett, Sean M. & Rose, John M. & Bain, Stuart, 2012. "Modelling heterogeneity in scale directly: implications for estimates of influence in freight decision-making groups," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 50, pages 1-2.
    303. Tesfaye, Abonesh & Hansen, James & Kassie, Girma Tesfahun & Radeny, Maren & Solomon, Dawit, 2019. "Estimating the economic value of climate services for strengthening resilience of smallholder farmers to climate risks in Ethiopia: A choice experiment approach," Ecological Economics, Elsevier, vol. 162(C), pages 157-168.
    304. Habib, Khandker M. Nurul & Swait, Joffre & Salem, Sarah, 2014. "Using repeated cross-sectional travel surveys to enhance forecasting robustness: Accounting for changing mode preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 110-126.
    305. Makriyannis, Christos & Johnston, Robert, 2016. "Welfare Analysis for Climate Risk Reductions: Are Current Treatments of Outcome Uncertainty Sufficient?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235532, Agricultural and Applied Economics Association.
    306. Bernard, Kévin & Bonein, Aurélie & Bougherara, Douadia, 2016. "Community Supported Agriculture and Preferences for Risk and Fairness," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 234904, Agricultural and Applied Economics Association.
    307. Maaya, Leonard & Meulders, Michel & Vandebroek, Martina, 2021. "Joint analysis of preferences and drop out data in discrete choice experiments," Journal of choice modelling, Elsevier, vol. 41(C).
    308. James, Jonathan, 2018. "Estimation of factor structured covariance mixed logit models," Journal of choice modelling, Elsevier, vol. 28(C), pages 41-55.
    309. Behram Wali & Asad Khattak, 2020. "Harnessing Ambient Sensing & Naturalistic Driving Systems to Understand Links Between Driving Volatility and Crash Propensity in School Zones: A generalized hierarchical mixed logit framework," Papers 2010.12017, arXiv.org.
    310. De Ayala Bilbao, Amaya & Hoyos Ramos, David & Mariel Chladkova, Petr, 2012. "Landscape valuation through discrete choice experiments: Current practice and future research reflections," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    311. Xiaogu Li & Christopher Clark & Kimberly Jensen & Steven Yen, 2014. "Will consumers follow climate leaders? The effect of manufacturer participation in a voluntary environmental program on consumer preferences," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(1), pages 69-87, January.
    312. Aaron M. Shew & Heather A. Snell & Rodolfo M. Nayga & Mary C. Lacity, 2022. "Consumer valuation of blockchain traceability for beef in the United States," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 299-323, March.
    313. Sandra Notaro & Maria De Salvo, 2021. "Does Music Affect Visitors’ Choices for the Management and Conservation of Ecosystem Services?," Sustainability, MDPI, vol. 13(18), pages 1-13, September.
    314. Lew, Daniel K. & Wallmo, Kristy, 2017. "Temporal stability of stated preferences for endangered species protection from choice experiments," Ecological Economics, Elsevier, vol. 131(C), pages 87-97.
    315. Nian, Yefan & Gao, Zhifeng, 2020. "Information Treatment, Cognitive Load, and Attribute Attendance in Choice Experiments," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304315, Agricultural and Applied Economics Association.
    316. Terry Flynn, 2010. "Using Conjoint Analysis and Choice Experiments to Estimate QALY Values," PharmacoEconomics, Springer, vol. 28(9), pages 711-722, September.
    317. Susana Oliveira & Lígia M. Costa Pinto, 2021. "Choice experiments to elicit the users’ preferences for coastal erosion management: the case of Praia da Amorosa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 9749-9765, July.
    318. Louviere, Jordan & Lings, Ian & Islam, Towhidul & Gudergan, Siegfried & Flynn, Terry, 2013. "An introduction to the application of (case 1) best–worst scaling in marketing research," International Journal of Research in Marketing, Elsevier, vol. 30(3), pages 292-303.
    319. Rossella Berni & Nedka Dechkova Nikiforova & Patrizia Pinelli, 2024. "An Optimal Design through a Compound Criterion for Integrating Extra Preference Information in a Choice Experiment: A Case Study on Moka Ground Coffee," Stats, MDPI, vol. 7(2), pages 1-16, June.
    320. Imamura, Kohei & Managi, Shunsuke & Saito, Shoichi & Nakashizuka, Tohru, 2017. "Abandoned forest ecosystem: Implications for Japan's Oak Wilt disease," Journal of Forest Economics, Elsevier, vol. 29(PA), pages 56-61.
    321. Mikołaj Czajkowski & Anna Bartczak & Marek Giergiczny & Stale Navrud & Tomasz Żylicz, 2013. "Providing Preference-Based Support for Forest Ecosystem Service Management in Poland," Working Papers 2013-05, Faculty of Economic Sciences, University of Warsaw.
    322. Rebecca Owusu Coffie & Michael P. Burton & Fiona L. Gibson & Atakelty Hailu, 2016. "Choice of Rice Production Practices in Ghana: A Comparison of Willingness to Pay and Preference Space Estimates," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 799-819, September.
    323. Rocha, Luiz Eduardo Vasconcelos & Santos, Gilnei Costa & Bastos, Patricia de Melo Abrita, 2006. "Evolução Da Distribuição Da Renda E Da Pobreza Das Famílias Ocupadas E Residentes No Meio Rural Do Estado De Minas Gerais, De 1981 A 2003," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 148649, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    324. Mauersberger, Felix, 2019. "Thompson Sampling: Endogenously Random Behavior in Games and Markets," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203600, Verein für Socialpolitik / German Economic Association.
    325. William F. Vásquez & Pallab Mozumder, 2017. "Willingness to Pay for Hurricane-Resistant Home Improvement Programs: a Choice Experiment in Northeastern and Mid-Atlantic United States," Economics of Disasters and Climate Change, Springer, vol. 1(3), pages 263-276, October.
    326. Dan Rigby & Michael Burton & Jo Pluske, 2016. "Preference Stability and Choice Consistency in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(2), pages 441-461, October.
    327. Balogh, Péter & Török, Áron & Czine, Péter & Horváth, Péter, 2020. "A fogyasztói magatartás elemzése feltételes választási modellekkel - a mangalicakolbász példáján [Analysing consumer behaviour with conditional choice models, with Mangalica sausage as an example]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 474-494.
    328. Soliño, M. & Alía, R. & Agúndez, D., 2020. "Citizens' preferences for research programs on forest genetic resources: A case applied to Pinus pinaster Ait. in Spain," Forest Policy and Economics, Elsevier, vol. 118(C).
    329. Hensher, David A. & Ho, Chinh & Knowles, Louise, 2016. "Efficient contracting and incentive agreements between regulators and bus operators: The influence of risk preferences of contracting agents on contract choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 22-40.
    330. Eckert, Christine & Louviere, Jordan J. & Islam, Towhidul, 2012. "Seeing the forest despite the trees: Brand effects on choice uncertainty," International Journal of Research in Marketing, Elsevier, vol. 29(3), pages 256-264.
    331. Di Fang & Rodolfo M. Nayga & Grant H. West & Claudia Bazzani & Wei Yang & Benjamin C. Lok & Charles E. Levy & Heather A. Snell, 2021. "On the Use of Virtual Reality in Mitigating Hypothetical Bias in Choice Experiments," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 142-161, January.
    332. Michael Keane & Nada Wasi, 2013. "Comparing Alternative Models Of Heterogeneity In Consumer Choice Behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 1018-1045, September.

  19. Yuanyuan Gu & Denzil G. Fiebig & Edward Cripps & Robert Kohn, 2009. "Bayesian estimation of a random effects heteroscedastic probit model," Econometrics Journal, Royal Economic Society, vol. 12(2), pages 324-339, July.

    Cited by:

    1. Matteo Richiardi & Ambra Poggi, 2014. "Imputing Individual Effects in Dynamic Microsimulation Models. An application to household formation and labour market participation in Italy," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 3-39.
    2. E. I. George & V. Ročková & P. R. Rosenbaum & V. A. Satopää & J. H. Silber, 2017. "Mortality Rate Estimation and Standardization for Public Reporting: Medicare’s Hospital Compare," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 933-947, July.
    3. Kézdi, Gábor & Mátyás, László & Balázsi, László & Divényi, János Károly, 2014. "A közgazdasági adatforradalom és a panelökonometria [The revolution in economic data and panel econometrics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1319-1340.
    4. J. R. Lockwood & Katherine E. Castellano & Benjamin R. Shear, 2018. "Flexible Bayesian Models for Inferences From Coarsened, Group-Level Achievement Data," Journal of Educational and Behavioral Statistics, , vol. 43(6), pages 663-692, December.
    5. Sean F. Reardon & Benjamin R. Shear & Katherine E. Castellano & Andrew D. Ho, 2017. "Using Heteroskedastic Ordered Probit Models to Recover Moments of Continuous Test Score Distributions From Coarsened Data," Journal of Educational and Behavioral Statistics, , vol. 42(1), pages 3-45, February.

  20. Fiebig, Denzil G. & Haas, Marion & Hossain, Ishrat & Street, Deborah J. & Viney, Rosalie, 2009. "Decisions about Pap tests: What influences women and providers?," Social Science & Medicine, Elsevier, vol. 68(10), pages 1766-1774, May.
    See citations under working paper version above.
  21. Clarke, Philip M. & Fiebig, Denzil G. & Gerdtham, Ulf-G., 2008. "Optimal recall length in survey design," Journal of Health Economics, Elsevier, vol. 27(5), pages 1275-1284, September.

    Cited by:

    1. Dyfrig Hughes & Joanna Charles & Dalia Dawoud & Rhiannon Tudor Edwards & Emily Holmes & Carys Jones & Paul Parham & Catrin Plumpton & Colin Ridyard & Huw Lloyd-Williams & Eifiona Wood & Seow Tien Yeo, 2016. "Conducting Economic Evaluations Alongside Randomised Trials: Current Methodological Issues and Novel Approaches," PharmacoEconomics, Springer, vol. 34(5), pages 447-461, May.
    2. DeVolder, Russell & Serra-Sastre, Victoria & Zamora, Bernarda, 2020. "Examining the variation across acute trusts in patient delayed discharge," Health Policy, Elsevier, vol. 124(11), pages 1226-1232.
    3. Graddy-Reed, Alexandra & Lanahan, Lauren & Eyer, Jonathan, 2019. "Gender discrepancies in publication productivity of high-performing life science graduate students," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    4. Phyu Phyu Thinn & Yi Xie & Giuseppe T. Cirella & Aung Si Thu Thein, 2024. "Community Forestry Impacts on Local Livelihoods: A Difference-In-Differences Analysis in Mindon Township, Magway Region, Myanmar," International Journal of Sciences, Office ijSciences, vol. 13(08), pages 1-17, August.
    5. Daran Gray‐Scholz & Timothy J. Haney & Pamela MacQuarrie, 2019. "Out of Sight, Out of Mind? Geographic and Social Predictors of Flood Risk Awareness," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2543-2558, November.
    6. Thomas F. Crossley & Joachim K. Winter, 2013. "Asking Households About Expenditures: What Have We Learned?," NBER Working Papers 19543, National Bureau of Economic Research, Inc.
    7. Kjellsson, Gustav & Clarke, Philip & Gerdtham, Ulf-G, 2013. "Forgetting to Remember or Remembering to Forget - A Study of the Recall Period Length in Health Care Survey Questions," Working Papers 2013:1, Lund University, Department of Economics.
    8. Emer Fogarty & Cathal Walsh & Christopher McGuigan & Niall Tubridy & Michael Barry, 2014. "Direct and Indirect Economic Consequences of Multiple Sclerosis in Ireland," Applied Health Economics and Health Policy, Springer, vol. 12(6), pages 635-645, December.
    9. Juan Ignacio Rosales Leal & Cristian Sánchez Vaca & Aleksandra Ryaboshapka & Félix de Carlos Villafranca & Miguel Ángel Rubio Escudero, 2023. "How Confinement and Back to Normal Affected the Well-Being and Thus Sleep, Headaches and Temporomandibular Disorders," IJERPH, MDPI, vol. 20(3), pages 1-13, January.
    10. Buurman, Margaretha & Delfgaauw, Josse & Dur, Robert & Van den Bossche, Seth, 2012. "Public sector employees: Risk averse and altruistic?," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 279-291.
    11. Lu, Chunling & Liu, Kai & Li, Lingling & Yang, Yuhong, 2017. "Sensitivity of measuring the progress in financial risk protection to survey design and its socioeconomic and demographic determinants: A case study in Rwanda," Social Science & Medicine, Elsevier, vol. 178(C), pages 11-18.
    12. Kim Dalziel & Jinhu Li & Anthony Scott & Philip Clarke, 2018. "Accuracy of patient recall for self‐reported doctor visits: Is shorter recall better?," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1684-1698, November.
    13. Rochelle Belkar & Waranya Pim Chanthapun & Denzil G. Fiebig, 2007. "A discrete choice model with misclassification and multiple recall periods," Discussion Papers 2007-10, School of Economics, The University of New South Wales.
    14. Berck, Peter B & Sears, Molly & Taylor, Rebecca & Trachtman, Carly & Villas-Boas, Sofia, 2020. "Reduce, Reuse, Redeem: Deposit-Refund Recycling Programs in the Presence of Alternatives," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt3cj7r9nh, Department of Agricultural & Resource Economics, UC Berkeley.
    15. Graddy-Reed, Alexandra & Lanahan, Lauren & D'Agostino, Jesse, 2021. "Training across the academy: The impact of R&D funding on graduate students," Research Policy, Elsevier, vol. 50(5).
    16. Marcin Hitczenko, 2013. "Optimal recall period length in consumer payment surveys," Working Papers 13-16, Federal Reserve Bank of Boston.
    17. Thomas W. H. Ng & Lorenzo Lucianetti & Dennis Y. Hsu & Frederick H. K. Yim & Kelly L. Sorensen, 2021. "You Speak, I Speak: The Social‐Cognitive Mechanisms of Voice Contagion," Journal of Management Studies, Wiley Blackwell, vol. 58(6), pages 1569-1608, September.
    18. Kirstine Hansen & Dylan Kneale, 2013. "Does How You Measure Income Make a Difference to Measuring Poverty? Evidence from the UK," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(3), pages 1119-1140, February.
    19. Christina Gravert & Kai Barron & Mette Trier Damgaard & Lisa Norrgren, 2020. "Time Preferences and Medication Adherence: A Field Experiment with Pregnant Women in South Africa," CEBI working paper series 20-29, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    20. Engle-Stone, Reina & Sununtnasuk, Celeste & Fiedler, John L., 2017. "Investigating the significance of the data collection period of household consumption and expenditures surveys for food and nutrition policymaking: Analysis of the 2010 Bangladesh household income and," Food Policy, Elsevier, vol. 72(C), pages 72-80.
    21. Kai Barron & Mette Trier Damgaard & Christina Gravert & Lisa Norrgren, 2022. "Time Preferences and Medication Adherence: Evidence from Pregnant Women in South Africa," CESifo Working Paper Series 9988, CESifo.
    22. Van Vliet, Olaf & Been, Jim & Caminada, Koen & Goudswaard, Kees, 2011. "Pension reform and income inequality among the elderly in 15 European countries," MPRA Paper 32940, University Library of Munich, Germany.

  22. Denzil G. Fiebig, 2007. "Microeconometrics: Methods and Applications ‐ by A. Colin Cameron and Pravin K. Trivedi," The Economic Record, The Economic Society of Australia, vol. 83(260), pages 112-113, March.

    Cited by:

    1. Stanislav Anatolyev, 2007. "Review of English textbooks in econometrics (in Russian)," Quantile, Quantile, issue 3, pages 73-82, September.

  23. Madeleine T. King & Jane Hall & Emily Lancsar & Denzil Fiebig & Ishrat Hossain & Jordan Louviere & Helen K. Reddel & Christine R. Jenkins, 2007. "Patient preferences for managing asthma: results from a discrete choice experiment," Health Economics, John Wiley & Sons, Ltd., vol. 16(7), pages 703-717, July.

    Cited by:

    1. Damian Clarke & Sonia Oreffice & Climent Quintana-Domeque, 2017. "On the Value of Birth Weight," Working Papers 2017-018, Human Capital and Economic Opportunity Working Group.
    2. Jeremy Webb & Max Briggs & Clevo Wilson, 2018. "Breaking automotive modal lock-in: a choice modelling study of Jakarta commuters," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 47-68, January.
    3. Domino Determann & Dorte Gyrd-Hansen & G. Ardine de Wit & Esther W. de Bekker-Grob & Ewout W. Steyerberg & Mattijs S. Lambooij & Line Bjørnskov Pedersen, 2019. "Designing Unforced Choice Experiments to Inform Health Care Decision Making: Implications of Using Opt-Out, Neither, or Status Quo Alternatives in Discrete Choice Experiments," Medical Decision Making, , vol. 39(6), pages 681-692, August.
    4. Emily Lancsar & Joffre Swait, 2014. "Reconceptualising the External Validity of Discrete Choice Experiments," PharmacoEconomics, Springer, vol. 32(10), pages 951-965, October.
    5. Rosalie Viney & Richard Norman & John Brazier & Paula Cronin & Madeleine T. King & Julie Ratcliffe & Deborah Street, 2014. "An Australian Discrete Choice Experiment To Value Eq‐5d Health States," Health Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 729-742, June.
    6. Sivey, Peter & Scott, Anthony & Witt, Julia & Joyce, Catherine & Humphreys, John, 2012. "Junior doctors’ preferences for specialty choice," Journal of Health Economics, Elsevier, vol. 31(6), pages 813-823.
    7. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    8. Oyinbo, Oyakhilomen & Chamberlin, Jordan & Vanlauwe, Bernard & Vranken, Liesbet & Kamara, Alpha & Craufurd, Peter & Maertens, Miet, 2018. "Farmers' preferences for site-specific extension services: Evidence from a choice experiment in Nigeria," Working Papers 276175, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    9. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.
    10. Tracey-Lea Laba & Beverley Essue & Merel Kimman & Stephen Jan, 2015. "Understanding Patient Preferences in Medication Nonadherence: A Review of Stated Preference Data," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 8(5), pages 385-395, October.
    11. Paul Scuffham & Jennifer Whitty & Matthew Taylor & Ruth Saxby, 2010. "Health system choice," Applied Health Economics and Health Policy, Springer, vol. 8(2), pages 89-97, March.
    12. Denzil G. Fiebig, 2017. "Big Data: Will It Improve Patient-Centered Care?," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(2), pages 133-139, April.
    13. Clarke, Damian & Oreffice, Sonia & Quintana-Domeque, Climent, 2016. "The Demand for Season of Birth," IZA Discussion Papers 10072, Institute of Labor Economics (IZA).
    14. Mandeville, Kate L. & Ulaya, Godwin & Lagarde, Mylène & Muula, Adamson S. & Dzowela, Titha & Hanson, Kara, 2016. "The use of specialty training to retain doctors in Malawi: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 169(C), pages 109-118.
    15. V. Meusel & E. Mentzakis & P. Baji & G. Fiorentini & F. Paolucci, 2023. "Priority setting in the German healthcare system: results from a discrete choice experiment," International Journal of Health Economics and Management, Springer, vol. 23(3), pages 411-431, September.
    16. Aleksandra Torbica & Giovanni Fattore & Fabio Ayala, 2014. "Eliciting Preferences to Inform Patient-Centred Policies: the Case of Psoriasis," PharmacoEconomics, Springer, vol. 32(2), pages 209-223, February.
    17. Emily Lancsar & Peter Burge, 2014. "Choice modelling research in health economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 28, pages 675-687, Edward Elgar Publishing.
    18. Jesús Clemente López & Pedro García Castrillo & María A. González Alvarez & Marcos Sanso Frago, 2014. "Una evaluación de la efectividad de la formación ocupacional para desempleados antes y después de la crisis económica: el caso de Aragón," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 77-106, March.
    19. Lieke Boonen & Frederik Schut & Bas Donkers & Xander Koolman, 2009. "Which preferred providers are really preferred? Effectiveness of insurers’ channeling incentives on pharmacy choice," International Journal of Health Economics and Management, Springer, vol. 9(4), pages 347-366, December.
    20. Richard Norman & Rosalie Viney & John Brazier & Leonie Burgess & Paula Cronin & Madeleine King & Julie Ratcliffe & Deborah Street, 2014. "Valuing SF-6D Health States Using a Discrete Choice Experiment," Medical Decision Making, , vol. 34(6), pages 773-786, August.
    21. Waleska Sigüernza & Petr Mariel, 2013. "Valoración económica de los servicios sanitarios en la Comunidad Autónoma del País Vasco," Hacienda Pública Española / Review of Public Economics, IEF, vol. 207(4), pages 71-99, December.
    22. Regier, Dean A. & Ryan, Mandy & Phimister, Euan & Marra, Carlo A., 2009. "Bayesian and classical estimation of mixed logit: An application to genetic testing," Journal of Health Economics, Elsevier, vol. 28(3), pages 598-610, May.
    23. Oyinbo, Oyakhilomen & Chamberlin, Jordan & Vanlauwe, Bernard & Vranken, Liesbet & Kamara, Yaya Alpha & Craufurd, Peter & Maertens, Miet, 2019. "Farmers' preferences for high-input agriculture supported by site-specific extension services: Evidence from a choice experiment in Nigeria," Agricultural Systems, Elsevier, vol. 173(C), pages 12-26.
    24. Landmann, D. & Feil, J.-H. & Lagerkvist, C.J. & Otter, V., 2018. "Designing capacity development activities of small-scale farmers in developing countries based on discrete choice experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277738, International Association of Agricultural Economists.
    25. Arne Risa Hole, 2007. "Modelling Heterogeneity in Patients' Preferences for the Attributes of a General Practitioner Appointment," Working Papers 022cherp, Centre for Health Economics, University of York.
    26. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    27. Lancsar, Emily & Wildman, John & Donaldson, Cam & Ryan, Mandy & Baker, Rachel, 2011. "Deriving distributional weights for QALYs through discrete choice experiments," Journal of Health Economics, Elsevier, vol. 30(2), pages 466-478, March.
    28. Verity Watson & Terry Porteous & Tim Bolt & Mandy Ryan, 2019. "Mode and Frame Matter: Assessing the Impact of Survey Mode and Sample Frame in Choice Experiments," Medical Decision Making, , vol. 39(7), pages 827-841, October.
    29. Kent Sweeting & Jennifer Whitty & Paul Scuffham & Michael Yelland, 2011. "Patient Preferences for Treatment of Achilles Tendon Pain," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 4(1), pages 45-54, January.

  24. Robert Bartels & Denzil Fiebig & Arthur Soest, 2006. "Consumers and experts: an econometric analysis of the demand for water heaters," Empirical Economics, Springer, vol. 31(2), pages 369-391, June.
    See citations under working paper version above.
  25. Rochelle Belkar & Denzil G. Fiebig & Marion Haas & Rosalie Viney, 2006. "Why worry about awareness in choice problems? Econometric analysis of screening for cervical cancer," Health Economics, John Wiley & Sons, Ltd., vol. 15(1), pages 33-47, January.
    See citations under working paper version above.
  26. Hall, Jane & Fiebig, Denzil G. & King, Madeleine T. & Hossain, Ishrat & Louviere, Jordan J., 2006. "What influences participation in genetic carrier testing?: Results from a discrete choice experiment," Journal of Health Economics, Elsevier, vol. 25(3), pages 520-537, May.

    Cited by:

    1. Fiebig, Denzil G. & Haas, Marion & Hossain, Ishrat & Street, Deborah J. & Viney, Rosalie, 2009. "Decisions about Pap tests: What influences women and providers?," Social Science & Medicine, Elsevier, vol. 68(10), pages 1766-1774, May.
    2. Umberger, Wendy J. & Calkins, Chris R., 2008. "Korean Consumers’ Preferences and Willingness to Pay for Domestic versus U.S. and Australian Beef with Alternative Attributes," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6172, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Robert W. Paterson & Kevin J. Boyle & Christopher F. Parmeter & James E. Neumann & Paul De Civita, 2008. "Heterogeneity in preferences for smoking cessation," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1363-1377, December.
    4. Jennifer Whitty & Paul Scuffham & Sharyn Rundle-Thielee, 2011. "Public and decision maker stated preferences for pharmaceutical subsidy decisions," Applied Health Economics and Health Policy, Springer, vol. 9(2), pages 73-79, March.
    5. Di Giacomo, M. & Piacenza, M. & Siciliani, L. & Turati, G., 2020. "The Effect of Co-Payments on the Take-Up of Prenatal Tests," Health, Econometrics and Data Group (HEDG) Working Papers 20/19, HEDG, c/o Department of Economics, University of York.
    6. Hossain, Ishrat & Saqib, Najam U. & Haq, Munshi Masudul, 2018. "Scale heterogeneity in discrete choice experiment: An application of generalized mixed logit model in air travel choice," Economics Letters, Elsevier, vol. 172(C), pages 85-88.
    7. Jose Blandon & Spencer Henson & Towhidul Islam, 2009. "Marketing preferences of small-scale farmers in the context of new agrifood systems: a stated choice model," Agribusiness, John Wiley & Sons, Ltd., vol. 25(2), pages 251-267.
    8. Stephanie A. Knox & Rosalie C. Viney & Deborah J. Street & Marion R. Haas & Denzil G. Fiebig & Edith Weisberg & Deborah Bateson, 2012. "What’s Good and Bad About Contraceptive Products?," PharmacoEconomics, Springer, vol. 30(12), pages 1187-1202, December.
    9. Caroline Vass & Dan Rigby & Katherine Payne, 2017. "The Role of Qualitative Research Methods in Discrete Choice Experiments," Medical Decision Making, , vol. 37(3), pages 298-313, April.
    10. Kibel, Mia & Vanstone, Meredith, 2017. "Reconciling ethical and economic conceptions of value in health policy using the capabilities approach: A qualitative investigation of Non-Invasive Prenatal Testing," Social Science & Medicine, Elsevier, vol. 195(C), pages 97-104.
    11. Rosalie Viney & Richard Norman & John Brazier & Paula Cronin & Madeleine T. King & Julie Ratcliffe & Deborah Street, 2014. "An Australian Discrete Choice Experiment To Value Eq‐5d Health States," Health Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 729-742, June.
    12. Sivey, Peter & Scott, Anthony & Witt, Julia & Joyce, Catherine & Humphreys, John, 2012. "Junior doctors’ preferences for specialty choice," Journal of Health Economics, Elsevier, vol. 31(6), pages 813-823.
    13. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    14. Arouna, Aminou & Adegbola, Patrice Y. & Raphael, Babatunde & Diagne, Aliou, 2015. "Contract farming preferences by smallholder rice producers in Africa: a stated choice model using mixed logic," 2015 Conference, August 9-14, 2015, Milan, Italy 210957, International Association of Agricultural Economists.
    15. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.
    16. Sang Hyeon Lee & Doo Bong Han & Vincenzina Caputo & Rodolfo M. Nayga Jr., 2015. "Consumers’ Valuation for a Reduced Salt Product: A Nonhypothetical Choice Experiment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 563-582, December.
    17. 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.
    18. 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.
    19. Paul Scuffham & Jennifer Whitty & Matthew Taylor & Ruth Saxby, 2010. "Health system choice," Applied Health Economics and Health Policy, Springer, vol. 8(2), pages 89-97, March.
    20. Leonie Burgess & Deborah J. Street & Rosalie Viney & Jordan Louviere, 2006. "Design of Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, chapter 39, Edward Elgar Publishing.
    21. Peyron, Christine & Pélissier, Aurore & Béjean, Sophie, 2018. "Preference heterogeneity with respect to whole genome sequencing. A discrete choice experiment among parents of children with rare genetic diseases," Social Science & Medicine, Elsevier, vol. 214(C), pages 125-132.
    22. Denzil G. Fiebig & Rosalie Viney & Stephanie Knox & Marion Haas & Deborah J. Street & Arne R. Hole & Edith Weisberg & Deborah Bateson, 2017. "Consideration Sets and Their Role in Modelling Doctor Recommendations About Contraceptives," Health Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 54-73, January.
    23. Chengxiang Tang & Yucheng Zhang, 2016. "Using discrete choice experiments to value preferences for air quality improvement: the case of curbing haze in urban China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(8), pages 1473-1494, August.
    24. Emily Lancsar & Peter Burge, 2014. "Choice modelling research in health economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 28, pages 675-687, Edward Elgar Publishing.
    25. Jesús Clemente López & Pedro García Castrillo & María A. González Alvarez & Marcos Sanso Frago, 2014. "Una evaluación de la efectividad de la formación ocupacional para desempleados antes y después de la crisis económica: el caso de Aragón," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 77-106, March.
    26. 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.
    27. Richard Norman & Jane Hall & Deborah Street & Rosalie Viney, 2013. "Efficiency And Equity: A Stated Preference Approach," Health Economics, John Wiley & Sons, Ltd., vol. 22(5), pages 568-581, May.
    28. Paul Hodgkins & Paul Swinburn & Dory Solomon & Linnette Yen & Sarah Dewilde & Andrew Lloyd, 2012. "Patient Preferences for First-Line Oral Treatment for Mild-to-Moderate Ulcerative Colitis," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 5(1), pages 33-44, March.
    29. Simeon Schudy & Verena Utikal, 2018. "Does Imperfect Data Privacy Stop People from Collecting Personal Data?," Games, MDPI, vol. 9(1), pages 1-23, March.
    30. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    31. Knox, Stephanie A. & Viney, Rosalie C. & Gu, Yuanyuan & Hole, Arne R. & Fiebig, Denzil G. & Street, Deborah J. & Haas, Marion R. & Weisberg, Edith & Bateson, Deborah, 2013. "The effect of adverse information and positive promotion on women's preferences for prescribed contraceptive products," Social Science & Medicine, Elsevier, vol. 83(C), pages 70-80.
    32. Peter Sivey & Anthony Scott & Julia Witt & Catherine Joyce & John Humphreys, 2010. "Why Junior Doctors Don’t Want to Become General Practitioners: A Discrete Choice Experiment from the MABEL Longitudinal Study of Doctors," Melbourne Institute Working Paper Series wp2010n17, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    33. Denzil G. Fiebig & Stephanie Knox & Rosalie Viney & Marion Haas & Deborah J. Street, 2011. "Preferences for new and existing contraceptive products," Health Economics, John Wiley & Sons, Ltd., vol. 20(S1), pages 35-52, September.
    34. Waleska Sigüernza & Petr Mariel, 2013. "Valoración económica de los servicios sanitarios en la Comunidad Autónoma del País Vasco," Hacienda Pública Española / Review of Public Economics, IEF, vol. 207(4), pages 71-99, December.
    35. Li, Jinhu & Scott, Anthony & McGrail, Matthew & Humphreys, John & Witt, Julia, 2014. "Retaining rural doctors: Doctors' preferences for rural medical workforce incentives," Social Science & Medicine, Elsevier, vol. 121(C), pages 56-64.
    36. Regier, Dean A. & Ryan, Mandy & Phimister, Euan & Marra, Carlo A., 2009. "Bayesian and classical estimation of mixed logit: An application to genetic testing," Journal of Health Economics, Elsevier, vol. 28(3), pages 598-610, May.
    37. LUYTEN, Jeroen & KESSELS, Roselinde & GOOS, Peter & BEUTELS, Philippe, 2013. "Public preferences for prioritizing preventive and curative health care interventions: A discrete choice experiment," Working Papers 2013032, University of Antwerp, Faculty of Business and Economics.
    38. Landmann, D. & Feil, J.-H. & Lagerkvist, C.J. & Otter, V., 2018. "Designing capacity development activities of small-scale farmers in developing countries based on discrete choice experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277738, International Association of Agricultural Economists.
    39. Arne Risa Hole, 2007. "Modelling Heterogeneity in Patients' Preferences for the Attributes of a General Practitioner Appointment," Working Papers 022cherp, Centre for Health Economics, University of York.
    40. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    41. Madeleine King & Rosalie Viney & Ishrat Hossain & David Smith & Sandra Fowler & Elizabeth Savage & Bruce Armstrong, 2006. "Men?s preferences for treatment of early stage prostate cancer: Results from a discrete choice experiment, CHERE Working Paper 2006/14," Working Papers 2006/14, CHERE, University of Technology, Sydney.
    42. Kent Sweeting & Jennifer Whitty & Paul Scuffham & Michael Yelland, 2011. "Patient Preferences for Treatment of Achilles Tendon Pain," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 4(1), pages 45-54, January.

  27. Jordan Louviere & Kenneth Train & Moshe Ben-Akiva & Chandra Bhat & David Brownstone & Trudy Cameron & Richard Carson & J. Deshazo & Denzil Fiebig & William Greene & David Hensher & Donald Waldman, 2005. "Recent Progress on Endogeneity in Choice Modeling," Marketing Letters, Springer, vol. 16(3), pages 255-265, December.

    Cited by:

    1. André de Palma & Nathalie Picard & Paul Waddell, 2007. "Discrete choice models with capacity constraints: an empirical analysis of the housing market of the greater Paris region," THEMA Working Papers 2007-04, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    2. Paleti, Rajesh & Faghih Imani, Ahmadreza & Eluru, Naveen & Hu, Hsi-Hwa & Huang, Guoxiong, 2017. "An integrated model of intensity of activity opportunities on supply side and tour destination & departure time choices on demand side," Journal of choice modelling, Elsevier, vol. 24(C), pages 63-74.
    3. Kaye-Blake, William & Abell, Walter L. & Zellman, Eva, 2009. "Respondents’ ignoring of attribute information in a choice modelling survey," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 1-18.
    4. Joan Walker & Jieping Li, 2007. "Latent lifestyle preferences and household location decisions," Journal of Geographical Systems, Springer, vol. 9(1), pages 77-101, April.
    5. Vasquez Lavin, Felipe & Hanemann, W. Michael, 2008. "Taste Indicators and Heterogeneous Revealed Preferences for Congestion in Recreation Demand," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4rz5z706, Department of Agricultural & Resource Economics, UC Berkeley.
    6. Guerrero, Thomas E. & Guevara, C. Angelo & Cherchi, Elisabetta & Ortúzar, Juan de Dios, 2022. "Characterizing the impact of discrete indicators to correct for endogeneity in discrete choice models," Journal of choice modelling, Elsevier, vol. 42(C).
    7. Giacomo Pallante & Adam Drucker, 2014. "Niche Markets for Agrobiodiversity Conservation: Preference and Scale Heterogeneity Effects on Nepalese Consumers’ WTP for Finger Millet Products," SEEDS Working Papers 1414, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised May 2014.
    8. Dudinskaya, Emilia Cubero & Naspetti, Simona & Zanoli, Raffaele, 2020. "Using eye-tracking as an aid to design on-screen choice experiments," Journal of choice modelling, Elsevier, vol. 36(C).
    9. Mokhtarian, Patricia L & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," University of California Transportation Center, Working Papers qt8bz3z5qm, University of California Transportation Center.
    10. Caplan, Arthur J. & Akhundjanov, Sherzod B. & Toll, Kristopher, 2021. "Measuring heterogeneous preferences for residential amenities," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    11. Shr, Yau-Huo (Jimmy) & Zhang, Wendong, 2021. "Does Omitting Downstream Water Quality Change the Economic Benefits of Nutrient Reduction? Evidence from a Discrete Choice Experiment," ISU General Staff Papers 202101010800001067, Iowa State University, Department of Economics.
    12. Fukushi, Mitsuyoshi & Delgado, Felipe & Raveau, Sebastián, 2024. "Impact of omitted variable and simultaneous estimation endogeneity in choice-based revenue management systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    13. Mokhtarian, Patricia L., 2016. "Presenting the Independence of Irrelevant Alternatives property in a first course on logit modeling," Journal of choice modelling, Elsevier, vol. 21(C), pages 25-29.
    14. Hoyos Ramos, David, 2010. "Using discrete choice experiments for environmental valuation," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    15. Danaf, Mazen & Guevara, Angelo & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys," Journal of choice modelling, Elsevier, vol. 34(C).
    16. Gregory Howard & Brian E. Roe & Matthew G. Interis & Jay Martin, 2020. "Addressing Attribute Value Substitution in Discrete Choice Experiments to Avoid Unintended Consequences," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(4), pages 813-838, December.
    17. Cao, Xinyu & Mokhtarian, Patricia & Handy, Susan, 2008. "Examining The Impacts of Residential Self-Selection on Travel Behavior: Methodologies and Empirical Findings," Institute of Transportation Studies, Working Paper Series qt08x1k476, Institute of Transportation Studies, UC Davis.
    18. Melvin Wong & Bilal Farooq, 2019. "ResLogit: A residual neural network logit model for data-driven choice modelling," Papers 1912.10058, arXiv.org, revised Feb 2021.
    19. Shr, Yau-Huo Jimmy & Zhang, Wendong, 2021. "Does Omitting Downstream Water Quality Change the Economic Benefits of Nutrient Reduction Programs: Evidence from a Discrete Choice Experiment," 2021 Annual Meeting, August 1-3, Austin, Texas 313927, Agricultural and Applied Economics Association.
    20. Roe, Brian E. & Interis, Matthew G. & Howard, Gregory E., 2018. "Utilizing Subjective Beliefs in Stated Preference Models: Issues and Solutions," 2018 Annual Meeting, August 5-7, Washington, D.C. 274017, Agricultural and Applied Economics Association.
    21. Moser, Riccarda & Raffaelli, Roberta, 2011. "Exploiting cut-off information to incorporate context effect: a discrete choice experiment on small fruits in a Alpine region," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114646, European Association of Agricultural Economists.
    22. Shi, Miaoying & Yin, Runsheng & Lv, Hongdi, 2017. "An empirical analysis of the driving forces of forest cover change in northeast China," Forest Policy and Economics, Elsevier, vol. 78(C), pages 78-87.
    23. Chih-Wen Yang & Cheng-Lung (Richard) Wu & Jin-Long Lu, 2021. "Exploring the interdependency and determinants of tourism participation, expenditure, and duration: An analysis of Taiwanese citizens traveling abroad," Tourism Economics, , vol. 27(4), pages 649-669, June.
    24. Hoyos, David & Mariel, Petr & Fernández-Macho, Javier, 2009. "The influence of cultural identity on the WTP to protect natural resources: Some empirical evidence," Ecological Economics, Elsevier, vol. 68(8-9), pages 2372-2381, June.
    25. 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.
    26. Tang, Wei & Mokhtarian, Patricia L, 2009. "Accounting for Taste Heterogeneity in Purchase Channel Intention Modeling: An Example from Northern California for Book Purchases," Institute of Transportation Studies, Working Paper Series qt9mg5s5g8, Institute of Transportation Studies, UC Davis.
    27. Shiwen Quan & Yinchu Zeng & Xiaohua Yu & Te Bao, 2018. "WTP for baby milk formula in China: Using attribute nonattendance as a priori information to select attributes in choice experiment," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 300-320, March.
    28. Hoyos Ramos, David & Mariel Chladkova, Petr & Fernández Macho, Francisco Javier, 2008. "The influence of cultural identity on the WTP to protect natural resources: some empirical evidence," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    29. Medard, Turyamureba & Yawe, Bruno L. & Bosco, Oryema John, 2022. "Determinants of Demand for Private Health Insurance in Uganda," African Journal of Economic Review, African Journal of Economic Review, vol. 10(3), June.
    30. Holguín-Veras, José & Kalahasthi, Lokesh & Campbell, Shama & González-Calderón, Carlos A. & (Cara) Wang, Xiaokun, 2021. "Freight mode choice: Results from a nationwide qualitative and quantitative research effort," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 78-120.
    31. Andrea Pellegrini & Stefano Scagnolari, 2021. "The relationship between length of stay and land transportation mode in the tourism sector: A discrete–continuous framework applied to Swiss data," Tourism Economics, , vol. 27(1), pages 243-259, February.
    32. Groh, Elke D., 2022. "Exposure to wind turbines, regional identity and the willingness to pay for regionally produced electricity," Resource and Energy Economics, Elsevier, vol. 70(C).
    33. Moser, Riccarda & Raffaelli, Roberta, 2014. "Does attribute cut-off elicitation affect choice consistency? Contrasting hypothetical and real-money choice experiments," Journal of choice modelling, Elsevier, vol. 11(C), pages 16-29.
    34. Jordan Louviere & Joffre Swait, 2010. "—Discussion of “Alleviating the Constant Stochastic Variance Assumption in Decision Research: Theory, Measurement, and Experimental Test”," Marketing Science, INFORMS, vol. 29(1), pages 18-22, 01-02.
    35. Viswanathan, Vijay & Sese, F. Javier & Krafft, Manfred, 2017. "Social influence in the adoption of a B2B loyalty program: The role of elite status members," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 901-918.
    36. Rashidi, Taha H. & Koo, Tay T.R., 2016. "An analysis on travel party composition and expenditure: a discrete-continuous model," Annals of Tourism Research, Elsevier, vol. 56(C), pages 48-64.
    37. Danalet, Antonin & Tinguely, Loïc & Lapparent, Matthieu de & Bierlaire, Michel, 2016. "Location choice with longitudinal WiFi data," Journal of choice modelling, Elsevier, vol. 18(C), pages 1-17.
    38. Floyd, Kristopher & Freling, Ryan & Alhoqail, Saad & Cho, Hyun Young & Freling, Traci, 2014. "How Online Product Reviews Affect Retail Sales: A Meta-analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 217-232.
    39. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    40. Gallardo, R. Karina & Olanie, Aaron & Ordóñez, Rita & Ostrom, Ostrom, 2015. "The Use of Electronic Payment Machines at Farmers Markets: Results from a Choice Experiment Study," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 18(1), pages 1-26, February.
    41. Brathwaite, Timothy & Walker, Joan L., 2018. "Causal inference in travel demand modeling (and the lack thereof)," Journal of choice modelling, Elsevier, vol. 26(C), pages 1-18.
    42. Pallante, Giacomo & Drucker, Adam G. & Sthapit, Sajal, 2016. "Assessing the potential for niche market development to contribute to farmers' livelihoods and agrobiodiversity conservation: Insights from the finger millet case study in Nepal," Ecological Economics, Elsevier, vol. 130(C), pages 92-105.
    43. Fischer, Anke & Glenk, Klaus, 2011. "One model fits all? -- On the moderating role of emotional engagement and confusion in the elicitation of preferences for climate change adaptation policies," Ecological Economics, Elsevier, vol. 70(6), pages 1178-1188, April.
    44. Aston, Laura & Currie, Graham & Kamruzzaman, Md. & Delbosc, Alexa & Brands, Ties & van Oort, Niels & Teller, David, 2021. "Multi-city exploration of built environment and transit mode use: Comparison of Melbourne, Amsterdam and Boston," Journal of Transport Geography, Elsevier, vol. 95(C).
    45. José Luis Espinosa-Aranda & Ricardo García-Ródenas & María Luz López-García & Eusebio Angulo, 2018. "Constrained nested logit model: formulation and estimation," Transportation, Springer, vol. 45(5), pages 1523-1557, September.
    46. Smirnov, Oleg A., 2010. "Modeling spatial discrete choice," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 292-298, September.
    47. Turyamureba, Medard & Yawe, Bruno L. & Oryema, John Bosco, 2022. "Factors Influencing the Choice of Private Health Care Providers in Uganda," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    48. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
    49. Ahn, Jiwoon & Jeong, Gicheol & Kim, Yeonbae, 2008. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach," Energy Economics, Elsevier, vol. 30(5), pages 2091-2104, September.
    50. 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.
    51. Hitayezu, Patrick & Wale, Edilegnaw & Ortmann, Gerald, 2015. "Assessing Agricultural Land Use Change in the Midlands Region of KwaZulu-Natal, South Africa: Application of Mixed-Multinomial Logit," 2015 Conference, August 9-14, 2015, Milan, Italy 211736, International Association of Agricultural Economists.

  28. Diane M. Dancer & Denzil G. Fiebig, 2004. "Modelling Students at Risk," Australian Economic Papers, Wiley Blackwell, vol. 43(2), pages 158-173, June.

    Cited by:

    1. 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.
    2. Nolan, Elizabeth & Ahmadi-Esfahani, Fredoun Z., 2007. "Predicting performance in undergraduate agricultural economics," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(1), pages 1-15.
    3. Hong il Yoo, 2012. "A new condition for pooling states in multinomial logit," Discussion Papers 2012-48, School of Economics, The University of New South Wales.
    4. Girijasankar Mallik & John Lodewijks, 2010. "Student Performance in a Large First Year Economics Subject: Which Variables are Significant?," Economic Papers, The Economic Society of Australia, vol. 29(1), pages 80-86, March.
    5. Mallik, Girijasankar & Shankar, Sriram, 2016. "Does prior knowledge of economics and higher level mathematics improve student learning in principles of economics?," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 66-73.

  29. Bartels, R & Fiebig, D.G & McCabe, A, 2004. "The value of using stated preference methods: a case study in modelling water heater choices," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(3), pages 487-495.

    Cited by:

    1. Higgins, Andrew & Syme, Mike & McGregor, James & Marquez, Leorey & Seo, Seongwon, 2014. "Forecasting uptake of retrofit packages in office building stock under government incentives," Energy Policy, Elsevier, vol. 65(C), pages 501-511.
    2. Higgins, Andrew & McNamara, Cheryl & Foliente, Greg, 2014. "Modelling future uptake of solar photo-voltaics and water heaters under different government incentives," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 142-155.
    3. Cristiano Franceschinis & Riccardo Scarpa & Mara Thiene & John Rose & Michele Moretto & Raffaele Cavalli, 2016. "Exploring the Spatial Heterogeneity of Individual Preferences for Ambient Heating Systems," Energies, MDPI, vol. 9(6), pages 1-19, May.

  30. Ronald Bewley & Denzil G. Fiebig, 2002. "On the herding instinct of interest rate forecasters," Empirical Economics, Springer, vol. 27(3), pages 403-425.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.
    2. Hyndman, Rob J., 2023. "Forecasting, causality and feedback," International Journal of Forecasting, Elsevier, vol. 39(2), pages 558-560.
    3. Jordi Pons-Novell, 2006. "An analysis of a panel of Spanish GDP forecasts," Applied Economics, Taylor & Francis Journals, vol. 38(11), pages 1287-1292.
    4. Maria Antoinette Silgoner, 2005. "An Overview of European Economic Indicators: Great Variety of Data on the Euro Area, Need for More Extensive Coverage of the New EU Member States," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 66-89.
    5. Yoichi Tsuchiya, 2021. "Crises, market shocks, and herding behavior in stock price forecasts," Empirical Economics, Springer, vol. 61(2), pages 919-945, August.
    6. Basse, Tobias & Wegener, Christoph, 2022. "Inflation expectations: Australian consumer survey data versus the bond market," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 416-430.
    7. Jordi Pons-Novell, 2004. "Behavioural biases among interest rate forecasters?," Applied Economics Letters, Taylor & Francis Journals, vol. 11(5), pages 319-321.
    8. Christian Pierdzioch & Jan-Christoph Rülke, 2013. "A note on the anti-herding instinct of interest rate forecasters," Empirical Economics, Springer, vol. 45(2), pages 665-673, October.
    9. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.
    10. Jan-Christoph Rülke & Maria Silgoner & Julia Wörz, 2012. "Herding Behavior of Business Cycle Forecasters in Times of Economic Crises," WHU Working Paper Series - Economics Group 12-03, WHU - Otto Beisheim School of Management.
    11. Ernest Gnan & Johann Scharler & Maria Antoinette Silgoner, 2009. "Inflation Expectations – Role and Measurement for Monetary Policy," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 41-67.
    12. Christian Pierdzioch & Jan Christoph Rülke & Georg Stadtmann, 2012. "House Price Forecasts, Forecaster Herding, and the Recent Crisis," IJFS, MDPI, vol. 1(1), pages 1-14, November.
    13. Meade, Nigel & Driver, Ciaran, 2023. "Differing behaviours of forecasters of UK GDP growth," International Journal of Forecasting, Elsevier, vol. 39(2), pages 772-790.
    14. Schanne, Norbert, 2012. "The formation of experts' expectations on labour markets : do they run with the pack?," IAB-Discussion Paper 201225, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    15. John B. Broughton & Bento J. Lobo, 2018. "Herding and anchoring in macroeconomic forecasts: the case of the PMI," Empirical Economics, Springer, vol. 55(3), pages 1337-1355, November.
    16. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Forecasting metal prices: Do forecasters herd?," Discussion Papers 325, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    17. Pierdzioch, Christian & Rülke, Jan-Christoph, 2014. "Central banks’ interest rate projections and forecast coordination," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 130-137.
    18. Jordi Pons-Novell, 2003. "Strategic bias, herding behaviour and economic forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(1), pages 67-77.
    19. Rülke, Jan-Christoph & Silgoner, Maria & Wörz, Julia, 2016. "Herding behavior of business cycle forecasters," International Journal of Forecasting, Elsevier, vol. 32(1), pages 23-33.

  31. Islam, Towhidul & Fiebig, Denzil G. & Meade, Nigel, 2002. "Modelling multinational telecommunications demand with limited data," International Journal of Forecasting, Elsevier, vol. 18(4), pages 605-624.

    Cited by:

    1. Russel Cooper & Gary Madden, 2010. "Estimating components of ICT expenditure: a model-based approach with applicability to short time-series," Applied Economics, Taylor & Francis Journals, vol. 42(1), pages 87-96.
    2. Edward Oughton, 2018. "Towards 5G: scenario-based assessment of the future supply and demand for mobile telecommunications infrastructure," Working Papers 2017/04 (revised), Cambridge Judge Business School, University of Cambridge.
    3. Berrin Aytac & S. Wu, 2013. "Characterization of demand for short life-cycle technology products," Annals of Operations Research, Springer, vol. 203(1), pages 255-277, March.
    4. Fildes, Robert & Kumar, V., 2002. "Telecommunications demand forecasting--a review," International Journal of Forecasting, Elsevier, vol. 18(4), pages 489-522.
    5. Ding, Song & Tao, Zui & Zhang, Huahan & Li, Yao, 2022. "Forecasting nuclear energy consumption in China and America: An optimized structure-adaptative grey model," Energy, Elsevier, vol. 239(PA).
    6. Jongsu Lee & Minkyu Lee, 2009. "Analysis on the growth of telecommunication services: a global comparison of diffusion patterns," Applied Economics, Taylor & Francis Journals, vol. 41(24), pages 3143-3150.
    7. Ding, Song & Li, Ruojin & Wu, Shu & Zhou, Weijie, 2021. "Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 298(C).
    8. Lakka, Spyridoula & Michalakelis, Christos & Varoutas, Dimitris & Martakos, Draculis, 2012. "Exploring the determinants of the OSS market potential: The case of the Apache web server," Telecommunications Policy, Elsevier, vol. 36(1), pages 51-68.
    9. Edward Oughton, 2017. "Towards 5G: scenario-based assessment of the future supply and demand for mobile telecommunications infrastructure," Working Papers 2017/04, Cambridge Judge Business School, University of Cambridge.
    10. D’Ignazio, Alessio & Giovannetti, Emanuele, 2015. "Predicting internet commercial connectivity wars: The impact of trust and operators’ asymmetry," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1127-1137.
    11. Aravantinos, Elias & Petre, Konstantin & Katsianis, Dimitris & Varoutas, Dimitris, 2021. "Determinants of FTTH tariffs evolution in EU: A panel data analysis," Telecommunications Policy, Elsevier, vol. 45(10).
    12. Dalla Valle, Alessandra & Furlan, Claudia, 2011. "Forecasting accuracy of wind power technology diffusion models across countries," International Journal of Forecasting, Elsevier, vol. 27(2), pages 592-601.
    13. Scaglione, Miriam & Giovannetti, Emanuele & Hamoudia, Mohsen, 2015. "The diffusion of mobile social networking: Exploring adoption externalities in four G7 countries," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1159-1170.
    14. Islam, Towhidul, 2014. "Household level innovation diffusion model of photo-voltaic (PV) solar cells from stated preference data," Energy Policy, Elsevier, vol. 65(C), pages 340-350.
    15. Mouchart, Michel & Rombouts, Jeroen V.K., 2005. "Clustered panel data models: an efficient approach for nowcasting from poor data," International Journal of Forecasting, Elsevier, vol. 21(3), pages 577-594.
    16. Dalla Valle, Alessandra & Furlan, Claudia, 2014. "Diffusion of nuclear energy in some developing countries," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 143-153.
    17. Ashutosh Jha & Debashis Saha, 2022. "Mobile Broadband for Inclusive Connectivity: What Deters the High-Capacity Deployment of 4G-LTE Innovation in India?," Information Systems Frontiers, Springer, vol. 24(4), pages 1305-1329, August.
    18. Islam, Towhidul & Meade, Nigel, 2015. "Firm level innovation diffusion of 3G mobile connections in international context," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1138-1152.
    19. Peters, Kay & Albers, Sönke & Kumar, V., 2008. "Is there more to international Diffusion than Culture? An investigation on the Role of Marketing and Industry Variables," EconStor Preprints 27678, ZBW - Leibniz Information Centre for Economics.
    20. Meade, Nigel & Islam, Towhidul, 2015. "Modelling European usage of renewable energy technologies for electricity generation," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 497-509.
    21. Towhidul Islam & Nigel Meade, 2011. "Detecting the impact of market factors on sales takeoff times of analog cellular telephones," Marketing Letters, Springer, vol. 22(2), pages 197-212, June.
    22. Dalla Valle, Alessandra & Furlan, Claudia, 2011. "Forecasting accuracy of wind power technology diffusion models across countries," International Journal of Forecasting, Elsevier, vol. 27(2), pages 592-601, April.
    23. Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.
    24. Emanuele Giovannetti & Mohsen Hamoudia, 2022. "The interaction between direct and indirect network externalities in the early diffusion of mobile social networking," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(4), pages 617-642, December.
    25. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.

  32. Islam, Towhidul & Fiebig, Denzil G, 2001. "Modelling the Development of Supply-Restricted Telecommunications Markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(4), pages 249-264, July.

    Cited by:

    1. Fildes, Robert & Kumar, V., 2002. "Telecommunications demand forecasting--a review," International Journal of Forecasting, Elsevier, vol. 18(4), pages 489-522.
    2. Robert Bartels & Towhidul Islam, 2002. "Supply Restricted Telecommunications Markets: The Effect of Technical Efficiency on Waiting Times," Journal of Productivity Analysis, Springer, vol. 18(2), pages 161-169, September.
    3. Abualkhair, Ayman, 2007. "Electricity sector in the Palestinian territories: Which priorities for development and peace?," Energy Policy, Elsevier, vol. 35(4), pages 2209-2230, April.
    4. Scaglione, Miriam & Giovannetti, Emanuele & Hamoudia, Mohsen, 2015. "The diffusion of mobile social networking: Exploring adoption externalities in four G7 countries," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1159-1170.
    5. Tarek Ben Rhouma & Georges Zaccour, 2018. "Optimal Marketing Strategies for the Acquisition and Retention of Service Subscriber," Management Science, INFORMS, vol. 64(6), pages 2609-2627, June.
    6. Islam, Towhidul, 2014. "Household level innovation diffusion model of photo-voltaic (PV) solar cells from stated preference data," Energy Policy, Elsevier, vol. 65(C), pages 340-350.
    7. Bo Tan & Zhiguo Zhu & Pan Jiang & Xiening Wang, 2023. "Modeling Multi-Generation Product Diffusion in the Context of Dual-Brand Competition and Sustainable Improvement," Sustainability, MDPI, vol. 15(17), pages 1-22, August.
    8. Dalla Valle, Alessandra & Furlan, Claudia, 2014. "Diffusion of nuclear energy in some developing countries," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 143-153.
    9. Islam, Towhidul & Meade, Nigel, 2015. "Firm level innovation diffusion of 3G mobile connections in international context," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1138-1152.
    10. Peters, Kay & Albers, Sönke & Kumar, V., 2008. "Is there more to international Diffusion than Culture? An investigation on the Role of Marketing and Industry Variables," EconStor Preprints 27678, ZBW - Leibniz Information Centre for Economics.
    11. Chang, Shuhua & Zhang, Zhaowei & Wang, Xinyu & Dong, Yan, 2020. "Optimal acquisition and retention strategies in a duopoly model of competition," European Journal of Operational Research, Elsevier, vol. 282(2), pages 677-695.
    12. Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.
    13. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.

  33. Robert Bartels & Denzil G. Fiebig, 2000. "Residential End-Use Electricity Demand: Results from a Designed Experiment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 51-81.

    Cited by:

    1. Bodil M. Larsen & Runa Nesbakken, 2003. "How to quantify household electricity end-use consumption," Discussion Papers 346, Statistics Norway, Research Department.
    2. Frondel, Manuel & Schmidt, Christoph M., 2001. "Evaluating Environmental Programs: The Perspective of Modern Evaluation Research," IZA Discussion Papers 397, Institute of Labor Economics (IZA).
    3. Shigeru Matsumoto, 2015. "Electric Appliance Ownership and Usage: Application of Conditional Demand Analysis to Japanese Household Data," Working Papers e098, Tokyo Center for Economic Research.
    4. Boogen, Nina & Datta, Souvik & Filippini, Massimo, 2021. "Estimating residential electricity demand: New empirical evidence," Energy Policy, Elsevier, vol. 158(C).
    5. Hanne Marit Dalen and Bodil M. Larsen, 2015. "Residential End-use Electricity Demand: Development over Time," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    6. Mattias Vesterberg and Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    7. Newsham, Guy R. & Donnelly, Cara L., 2013. "A model of residential energy end-use in Canada: Using conditional demand analysis to suggest policy options for community energy planners," Energy Policy, Elsevier, vol. 59(C), pages 133-142.
    8. Jovanović, Saša & Savić, Slobodan & Bojić, Milorad & Djordjević, Zorica & Nikolić, Danijela, 2015. "The impact of the mean daily air temperature change on electricity consumption," Energy, Elsevier, vol. 88(C), pages 604-609.
    9. Tongam Sihol Nababan, 2015. "Analysis of Household Characteristics Affecting the Demand of PLN’s Electricity. An Observation on Small Households in City of Medan, Indonesia," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 1(2), pages 79-92, June.
    10. Muhammad Akmal & David I. Stern, 2001. "Residential energy demand in Australia: an application of dynamic OLS," Working Papers in Ecological Economics 0104, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
    11. Muhammad, Akmal, 2002. "The structure of consumer energy demand in Australia: an application of a dynamic almost ideal demand system," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125050, Australian Agricultural and Resource Economics Society.
    12. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    13. Mattias Vesterberg & Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, , vol. 37(4), pages 141-164, October.
    14. Vesterberg, Mattias, 2016. "The hourly income elasticity of electricity," Energy Economics, Elsevier, vol. 59(C), pages 188-197.
    15. Beccali, M. & Cellura, M. & Lo Brano, V. & Marvuglia, A., 2008. "Short-term prediction of household electricity consumption: Assessing weather sensitivity in a Mediterranean area," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(8), pages 2040-2065, October.
    16. 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).
    17. Maya Papineau & Kareman Yassin & Guy Newsham & Sarah Brice, 2020. "Conditional demand analysis as a tool to evaluate energy policy options on the path to grid decarbonization," Carleton Economic Papers 20-21, Carleton University, Department of Economics.
    18. Claudio A Agostini & Cecilia Plottier & Eduardo Saavedra, 2011. "La Demanda Residencial por Energía Eléctrica en Chile," Working Papers wp_013, Adolfo Ibáñez University, School of Government.
    19. Narayan, Paresh Kumar & Smyth, Russell, 2005. "The residential demand for electricity in Australia: an application of the bounds testing approach to cointegration," Energy Policy, Elsevier, vol. 33(4), pages 467-474, March.
    20. Claudio A Agostini & Eduardo Saavedra, 2014. "Elasticities of Residential Electricity Demand in Chile," Working Papers wp_034, Adolfo Ibáñez University, School of Government.
    21. Shiljkut, Vladimir M. & Rajakovic, Nikola Lj., 2015. "Demand response capacity estimation in various supply areas," Energy, Elsevier, vol. 92(P3), pages 476-486.
    22. Muhammad Akmal & David I. Stern, 2001. "The structure of Australian residential energy demand," Working Papers in Ecological Economics 0101, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
    23. Hanne Marit Dalen & Bodil M. Larsen, 2013. "Residential end-use electricity demand. Development over time," Discussion Papers 736, Statistics Norway, Research Department.
    24. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    25. Claudio Agostini & M. Cecilia Plottier & Eduardo Saavedra, 2012. "Residential Demand for Electric Energy in Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(3), pages 64-83, December.
    26. Jiyong Eom & Frank A. Wolak, 2020. "Breaking Routine for Energy Savings: An Appliance-level Analysis of Small Business Behavior under Dynamic Prices," NBER Working Papers 27263, National Bureau of Economic Research, Inc.
    27. Matsumoto, Shigeru, 2016. "How do household characteristics affect appliance usage? Application of conditional demand analysis to Japanese household data," Energy Policy, Elsevier, vol. 94(C), pages 214-223.
    28. Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.

  34. Denzil Fiebig & Jae Kim, 2000. "Estimation and inference in sur models when the number of equations is large," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 105-130.

    Cited by:

    1. Alkhamisi, M.A. & Shukur, Ghazi, 2007. "Developing Ridge Parameters for SUR Models," Working Paper Series in Economics and Institutions of Innovation 80, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    2. Voxi Heinrich Amavilah & Antonio Rodríguez Andrés, 2024. "Knowledge Economy and the Economic Performance of African Countries: A Seemingly Unrelated and Recursive Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 110-143, March.
    3. Zeebari, Zangin & Shukur, Ghazi & Kibria, B. M. Golam, 2010. "Modified Ridge Parameters for Seemingly Unrelated Regression Model," HUI Working Papers 43, HUI Research.
    4. Benjamin Verhelst & Dirk Van den Poel, 2014. "Deep habits in consumption: a spatial panel analysis using scanner data," Empirical Economics, Springer, vol. 47(3), pages 959-976, November.
    5. Griffiths, W.E., 2001. "Bayesian Inference in the Seemingly Unrelated Regressions Models," Department of Economics - Working Papers Series 793, The University of Melbourne.
    6. Rulon D. Pope & Jeffrey T. LaFrance & Richard E. Just, 2007. "Imperfect Price Deflation in Production Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 738-754.
    7. Yihui Lan, 2001. "The Long-Run Value of Currencies: A Big Mac Perspective," Economics Discussion / Working Papers 01-17, The University of Western Australia, Department of Economics.
    8. Chotikapanich, D. & Griffiths, W.E. & Skeels, C.L., 2001. "Sample Size Requirements for Estimation in SUR Models," Department of Economics - Working Papers Series 794, The University of Melbourne.
    9. Zhao, Li & Xu, Xingzhong, 2017. "Generalized canonical correlation variables improved estimation in high dimensional seemingly unrelated regression models," Statistics & Probability Letters, Elsevier, vol. 126(C), pages 119-126.
    10. Yihui Lan, 2003. "The Long-Term Behaviour of Exchange Rates, Part V: The Stationarity of Exchange Rates," Economics Discussion / Working Papers 03-09, The University of Western Australia, Department of Economics.

  35. Robert Bartels & Denzil G. Fiebig & Michael H. Plumb, 1996. "Gas or Electricity, which is Cheaper? An Econometric Approach with Application to Australian Expenditure Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 33-58.

    Cited by:

    1. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2019. "Interactions in Swiss households’ energy demand: A holistic approach," Energy Policy, Elsevier, vol. 128(C), pages 136-149.
    2. Smith, M. & Kohn, R., 1998. "Nonparametric Seemingly Unrelated Regression," Monash Econometrics and Business Statistics Working Papers 7/98, Monash University, Department of Econometrics and Business Statistics.
    3. Raymond Li & Chi-Keung Woo & Asher Tishler & Jay Zarnikau, 2022. "Price Responsiveness of Residential Demand for Natural Gas in the United States," Energies, MDPI, vol. 15(12), pages 1-22, June.
    4. Muhammad, Akmal, 2002. "The structure of consumer energy demand in Australia: an application of a dynamic almost ideal demand system," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125050, Australian Agricultural and Resource Economics Society.
    5. Robert Bartels & Denzil G. Fiebig, 2000. "Residential End-Use Electricity Demand: Results from a Designed Experiment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 51-81.

  36. Bauwens, Luc & Fiebig, Denzil G & Steel, Mark F J, 1994. "Estimating End-Use Demand: A Bayesian Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 221-231, April.
    See citations under working paper version above.
  37. Domberger, Simon & Fiebig, Denzil G, 1993. "The Distribution of Price Changes in Oligopoly," Journal of Industrial Economics, Wiley Blackwell, vol. 41(3), pages 295-313, September.

    Cited by:

    1. V. Bhaskar, 2002. "On Endogenously Staggered Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(1), pages 97-116.
    2. Ciaran Driver & Fabrice Goffinet, 1998. "Investment under Demand Uncertainty, Ex-Ante Pricing, and Oligopoly," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 13(4), pages 409-423, August.
    3. Taylor, John B., 1999. "Staggered price and wage setting in macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 15, pages 1009-1050, Elsevier.
    4. Jens-Peter Loy & Christoph Weiss, 2002. "Staggering and synchronisation of prices in a low-inflation environment: Evidence from German food stores," Agribusiness, John Wiley & Sons, Ltd., vol. 18(4), pages 437-457.
    5. Klenow, Peter J. & Malin, Benjamin A., 2010. "Microeconomic Evidence on Price-Setting," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 6, pages 231-284, Elsevier.
    6. Thille, Henry, 2006. "Inventories, market structure, and price volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 30(7), pages 1081-1104, July.
    7. Xu, Yun & Ouyang, Alice Y., 2017. "Tariffs, relative prices and wage inequality: Evidence from China," China Economic Review, Elsevier, vol. 46(C), pages 97-109.
    8. Kostas Axarloglou, 2007. "Thick markets, market competition and pricing dynamics: evidence from retailers," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 28(7), pages 669-677.
    9. Marcus Asplund & Rickard Eriksson & Richard Friberg, 2000. "Price Adjustments by a Gasoline Retail Chain," Scandinavian Journal of Economics, Wiley Blackwell, vol. 102(1), pages 101-121, March.
    10. Fernando Merino, 2000. "Price-Adjustment Costs and Adjustment Frequency: An Analysis with Individual Data," Econometric Society World Congress 2000 Contributed Papers 1712, Econometric Society.
    11. Rojas, Christian, 2005. "Market Power and Price Competition in U.S. Brewing," Research Reports 149024, University of Connecticut, Food Marketing Policy Center.

  38. Bartels, Robert & Fiebig, Denzil G. & Garben, Michael & Lumsdaine, Robert, 1992. "An end-use electricity load simulation model : Delmod," Utilities Policy, Elsevier, vol. 2(1), pages 71-82, January.

    Cited by:

    1. Mathias Müller & Florian Biedenbach & Janis Reinhard, 2020. "Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households," Energies, MDPI, vol. 13(15), pages 1-33, July.
    2. McLoughlin, Fintan & Duffy, Aidan & Conlon, Michael, 2015. "A clustering approach to domestic electricity load profile characterisation using smart metering data," Applied Energy, Elsevier, vol. 141(C), pages 190-199.
    3. Trotter, Ian Michael & Féres, José Gustavo & Bolkesjø, Torjus Folsland & de Hollanda, Lavínia Rocha, 2015. "Simulating Brazilian Electricity Demand Under Climate Change Scenarios," Working Papers in Applied Economics 208689, Universidade Federal de Vicosa, Departamento de Economia Rural.
    4. Keppo, Jussi & Rasanen, Mika, 1999. "Pricing of electricity tariffs in competitive markets," Energy Economics, Elsevier, vol. 21(3), pages 213-223, June.
    5. Huang, Yunyou & Zhan, Jianfeng & Luo, Chunjie & Wang, Lei & Wang, Nana & Zheng, Daoyi & Fan, Fanda & Ren, Rui, 2019. "An electricity consumption model for synthesizing scalable electricity load curves," Energy, Elsevier, vol. 169(C), pages 674-683.
    6. Grandjean, A. & Adnot, J. & Binet, G., 2012. "A review and an analysis of the residential electric load curve models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6539-6565.

  39. Fiebig, Denzil G. & McAleer, Michael & Bartels, Robert, 1992. "Properties of ordinary least squares estimators in regression models with nonspherical disturbances," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 321-334.

    Cited by:

    1. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Are Forecast Updates Progressive?," Working Papers in Economics 10/12, University of Canterbury, Department of Economics and Finance.
    2. Chia-Lin Chang & Michael McAleer & Chien-Hsun Wang, 2017. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," IJFS, MDPI, vol. 6(1), pages 1-24, December.
    3. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2010. "Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments," CIRJE F-Series CIRJE-F-729, CIRJE, Faculty of Economics, University of Tokyo.
    4. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875, December.
    5. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2012. "Evaluating Macroeconomic Forecasts: A Concise Review of Some Recent Developments," Documentos de Trabajo del ICAE 2012-14, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    6. Franses, Ph.H.B.F. & McAleer, M.J. & Legerstee, R., 2008. "Expert opinion versus expertise in forecasting," Econometric Institute Research Papers EI 2008-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. McAleer, Michael, 1992. "Modelling in econometrics: The deterrent effect of capital punishment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 33(5), pages 519-532.
    8. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
    9. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Combining Non-Replicable Forecasts," Working Papers in Economics 10/35, University of Canterbury, Department of Economics and Finance.
    10. Franses, Ph.H.B.F. & McAleer, M.J. & Legerstee, R., 2008. "Does the ROMC have expertise, and can it forecast?," Econometric Institute Research Papers EI 2008-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Keuzenkamp, Hugo A. & McAleer, Michael, 1997. "The complexity of simplicity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 553-561.
    12. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    13. Banerjee, Anurag N. & Magnus, Jan R., 1999. "The sensitivity of OLS when the variance matrix is (partially) unknown," Journal of Econometrics, Elsevier, vol. 92(2), pages 295-323, October.
    14. Gotu, Butte, 1999. "The consistency of s2 in the linear regression model when the disturbances are spatially correlated," Technical Reports 1999,07, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    15. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2009. "How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan," CIRJE F-Series CIRJE-F-637, CIRJE, Faculty of Economics, University of Tokyo.
    16. Paul Oslington, 2012. "General Equilibrium: Theory and Evidence," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 446-448, September.
    17. Chang, C-L. & Franses, Ph.H.B.F. & McAleer, M.J., 2009. "How Accurate are Government Forecast of Economic Fundamentals?," Econometric Institute Research Papers EI 2009-09, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  40. Fiebig, Denzil G. & Bartels, Robert & Aigner, Dennis J., 1991. "A random coefficient approach to the estimation of residential end-use load profiles," Journal of Econometrics, Elsevier, vol. 50(3), pages 297-327, December.

    Cited by:

    1. Bartels, Robert & Fiebig, Denzil G., 1995. "Optimal design in end-use metering experiments," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 305-309.
    2. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2019. "Interactions in Swiss households’ energy demand: A holistic approach," Energy Policy, Elsevier, vol. 128(C), pages 136-149.
    3. Connelly, Luke B., 2003. "Balancing the Number and Size of Sites: An Economic Approach to the Optimal Design of Cluster Samples," MPRA Paper 14676, University Library of Munich, Germany.
    4. Mattias Vesterberg and Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    5. Aydinalp-Koksal, Merih & Ugursal, V. Ismet, 2008. "Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector," Applied Energy, Elsevier, vol. 85(4), pages 271-296, April.
    6. Aydinalp, Merih & Ismet Ugursal, V. & Fung, Alan S., 2002. "Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks," Applied Energy, Elsevier, vol. 71(2), pages 87-110, February.
    7. Muhammad Akmal & David I. Stern, 2001. "Residential energy demand in Australia: an application of dynamic OLS," Working Papers in Ecological Economics 0104, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
    8. Muhammad, Akmal, 2002. "The structure of consumer energy demand in Australia: an application of a dynamic almost ideal demand system," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125050, Australian Agricultural and Resource Economics Society.
    9. Mattias Vesterberg & Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, , vol. 37(4), pages 141-164, October.
    10. Vesterberg, Mattias, 2016. "The hourly income elasticity of electricity," Energy Economics, Elsevier, vol. 59(C), pages 188-197.
    11. Maya Papineau & Kareman Yassin & Guy Newsham & Sarah Brice, 2020. "Conditional demand analysis as a tool to evaluate energy policy options on the path to grid decarbonization," Carleton Economic Papers 20-21, Carleton University, Department of Economics.
    12. Narayan, Paresh Kumar & Smyth, Russell, 2005. "The residential demand for electricity in Australia: an application of the bounds testing approach to cointegration," Energy Policy, Elsevier, vol. 33(4), pages 467-474, March.
    13. Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian density forecasting of intraday electricity prices using multivariate skew t distributions," International Journal of Forecasting, Elsevier, vol. 24(4), pages 710-727.
    14. Li, Wenliang & Zhou, Yuyu & Cetin, Kristen & Eom, Jiyong & Wang, Yu & Chen, Gang & Zhang, Xuesong, 2017. "Modeling urban building energy use: A review of modeling approaches and procedures," Energy, Elsevier, vol. 141(C), pages 2445-2457.
    15. Muhammad Akmal & David I. Stern, 2001. "The structure of Australian residential energy demand," Working Papers in Ecological Economics 0101, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
    16. Soares, Lacir J. & Medeiros, Marcelo C., 2008. "Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data," International Journal of Forecasting, Elsevier, vol. 24(4), pages 630-644.
    17. Smith, Michael S. & Kauermann, Göran, 2011. "Bicycle commuting in Melbourne during the 2000s energy crisis: A semiparametric analysis of intraday volumes," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1846-1862.
    18. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    19. Yildiz, B. & Bilbao, J.I. & Dore, J. & Sproul, A.B., 2017. "Recent advances in the analysis of residential electricity consumption and applications of smart meter data," Applied Energy, Elsevier, vol. 208(C), pages 402-427.
    20. Lacir J. Soares & Marcelo Cunha Medeiros, 2005. "Modelling and forecasting short-term electricity load: a two step methodology," Textos para discussão 495, Department of Economics PUC-Rio (Brazil).
    21. Robert Bartels & Denzil G. Fiebig & Daehoon Nahm, 1996. "Regional End‐Use Gas Demand in Australia," The Economic Record, The Economic Society of Australia, vol. 72(219), pages 319-331, December.
    22. Amaral, Luiz Felipe & Souza, Reinaldo Castro & Stevenson, Maxwell, 2008. "A smooth transition periodic autoregressive (STPAR) model for short-term load forecasting," International Journal of Forecasting, Elsevier, vol. 24(4), pages 603-615.
    23. Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.

  41. Robert Bartels & G. Fiebig, 1990. "Integrating Direct Metering and Conditional Demand Analysis for Estimating End-Use Loads," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 79-98.
    See citations under working paper version above.
  42. Bewley, Ronald & Fiebig, Denzil G, 1990. "Why Are Long-run Parameter Estimates So Disparate?," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 345-349, May.
    See citations under working paper version above.
  43. Bewley, Ronald & Fiebig, Denzil G, 1988. "Estimation of Price Elasticities for an International Telephone Demand Model," Journal of Industrial Economics, Wiley Blackwell, vol. 36(4), pages 393-409, June.

    Cited by:

    1. Einhorn, Michael A., 2002. "International telephony: a review of the literature," Information Economics and Policy, Elsevier, vol. 14(1), pages 51-73, March.
    2. Eliasson, Gunnar & Fölster, Stefan & Lindberg, Thomas & Pousette, Tomas & Taymaz, Erol, 1990. "The Knowledge Based Information Economy," Working Paper Series 256, Research Institute of Industrial Economics.
    3. Mayo, John W. & Ukhaneva, Olga, 2017. "International telecommunications demand," Information Economics and Policy, Elsevier, vol. 39(C), pages 26-35.
    4. Agiakloglou, Christos & Karkalakos, Sotiris, 2006. "Estimating Diffusion Rates for Telecommunications: Evidence from European Union," MPRA Paper 45788, University Library of Munich, Germany.
    5. Christos Agiakloglou & Demetrius Yannelis, 2006. "Estimation of Price Elasticities for International Telecommunications Demand," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 12(1), pages 131-137, February.
    6. Alleman, James & Madden, Gary G & Savage, Scott J, 2000. "Trade imbalance in international message telephone services," MPRA Paper 11157, University Library of Munich, Germany.
    7. Karikari, John A. & Gyimah-Brempong, Kwabena, 1999. "Demand for international telephone services between US and Africa," Information Economics and Policy, Elsevier, vol. 11(4), pages 407-435, December.
    8. Peter J. Danaher, 2002. "Optimal Pricing of New Subscription Services: Analysis of a Market Experiment," Marketing Science, INFORMS, vol. 21(2), pages 119-138, February.
    9. Agiakloglou, Christos & Karkalakos, Sotiris, 2006. "Estimating Diffusion Rates for Telecommunications: Evidence from European Union," MPRA Paper 45862, University Library of Munich, Germany.
    10. Munoz, Teresa Garin & Amaral, Teodosio Perez, 1996. "Demand for international telephone traffic in Spain: An econometric study using provincial panel data," Information Economics and Policy, Elsevier, vol. 8(4), pages 289-315, December.
    11. Gyimah-Brempong, Kwabena & Karikari, John Agyei, 2002. "Cost shifting in international telephone calls between US and African countries," Journal of Development Economics, Elsevier, vol. 68(2), pages 455-477, August.

  44. Bewley, Ronald & Fiebig, Denzil G., 1988. "A flexible logistic growth model with applications in telecommunications," International Journal of Forecasting, Elsevier, vol. 4(2), pages 177-192.

    Cited by:

    1. Petre, Konstantin & Varoutas, Dimitris, 2022. "On the application of Machine Learning in telecommunications forecasting: A comparison," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265665, International Telecommunications Society (ITS).
    2. Bewley, Ronald, 1997. "The forecast process and academic research," International Journal of Forecasting, Elsevier, vol. 13(4), pages 433-437, December.
    3. Labson, B Stephen & Gooday, Peter, 1994. "Factors influencing the diffusion of electric arc furnace steelmaking technology," MPRA Paper 70666, University Library of Munich, Germany.
    4. Singh, Sanjay Kumar, 2006. "Future mobility in India: Implications for energy demand and CO2 emission," Transport Policy, Elsevier, vol. 13(5), pages 398-412, September.
    5. Yuri Peers & Dennis Fok & Philip Hans Franses, 2012. "Modeling Seasonality in New Product Diffusion," Marketing Science, INFORMS, vol. 31(2), pages 351-364, March.
    6. Michalakelis, C. & Sphicopoulos, T., 2012. "A population dependent diffusion model with a stochastic extension," International Journal of Forecasting, Elsevier, vol. 28(3), pages 587-606.
    7. Tóth, Géza & Kincses, Áron, 2015. "Accessibility Models Based On the Gravity Analogy: In Theory and Practice," MPRA Paper 73952, University Library of Munich, Germany.
    8. Zhang, X.L. & van Groenendaal, W.J.H., 2001. "The Role of Institutional Support in Energy Technology Diffusion in Rural China," Other publications TiSEM 044c6483-a03e-425a-aade-1, Tilburg University, School of Economics and Management.
    9. Fildes, Robert & Kumar, V., 2002. "Telecommunications demand forecasting--a review," International Journal of Forecasting, Elsevier, vol. 18(4), pages 489-522.
    10. Islam, Towhidul & Fiebig, Denzil G. & Meade, Nigel, 2002. "Modelling multinational telecommunications demand with limited data," International Journal of Forecasting, Elsevier, vol. 18(4), pages 605-624.
    11. Marinakis, Yorgos D., 2012. "Forecasting technology diffusion with the Richards model," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 172-179.
    12. MacGillivray, Andrew & Jeffrey, Henry & Wallace, Robin, 2015. "The importance of iteration and deployment in technology development: A study of the impact on wave and tidal stream energy research, development and innovation," Energy Policy, Elsevier, vol. 87(C), pages 542-552.
    13. Gardebroek, Cornelis, 2008. "Evaluating Different Growth Scenarios for Organic Farming Using Bayesian Techniques," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44211, European Association of Agricultural Economists.
    14. Gary Madden & Michael Simpson & Scott Savage, 2002. "Broadband Delivered Entertainment Services: Forecasting Australian Subscription Intentions," The Economic Record, The Economic Society of Australia, vol. 78(243), pages 422-432, December.
    15. Nigel Meade & Towhidul Islam, 1998. "Technological Forecasting---Model Selection, Model Stability, and Combining Models," Management Science, INFORMS, vol. 44(8), pages 1115-1130, August.
    16. Joost M. E. Pennings & Ale Smidts, 2003. "The Shape of Utility Functions and Organizational Behavior," Management Science, INFORMS, vol. 49(9), pages 1251-1263, September.
    17. Guangzhao Sun & Yilin Li & Xiaogang Liu & Ningbo Cui & Yanli Gao & Qiliang Yang, 2019. "Effect of Moistube Fertigation on Infiltration and Distribution of Water-Fertilizer in Mixing Waste Biomass Soil," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    18. Sergei Sidorov & Alexey Faizliev & Vladimir Balash & Olga Balash & Maria Krylova & Aleksandr Fomenko, 2021. "Extended innovation diffusion models and their empirical performance on real propagation data," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(2), pages 99-110, June.
    19. Sanjay Kumar SINGH & Vijay Lakshmi SINGH, 2023. "Internet diffusion in India: A study based on Growth Curve modelling," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 15(2), pages 29-42, June.
    20. Joost M.E. Pennings & Philip Garcia, 2009. "The informational content of the shape of utility functions: financial strategic behavior," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 83-90.
    21. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
    22. Bewley, Ronald & Griffiths, William E., 2003. "The penetration of CDs in the sound recording market: issues in specification, model selection and forecasting," International Journal of Forecasting, Elsevier, vol. 19(1), pages 111-121.
    23. Christos Michalakelis & Georgia Dede & Dimitris Varoutas & Thomas Sphicopoulos, 2010. "Estimating diffusion and price elasticity with application to telecommunications," Netnomics, Springer, vol. 11(3), pages 221-242, October.
    24. Jha, Ashutosh & Saha, Debashis, 2020. "“Forecasting and analysing the characteristics of 3G and 4G mobile broadband diffusion in India: A comparative evaluation of Bass, Norton-Bass, Gompertz, and logistic growth models”," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    25. Lund, P.D., 2010. "Exploring past energy changes and their implications for the pace of penetration of new energy technologies," Energy, Elsevier, vol. 35(2), pages 647-656.
    26. Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.
    27. Meade, Nigel & Islam, Towhidul, 1995. "Forecasting with growth curves: An empirical comparison," International Journal of Forecasting, Elsevier, vol. 11(2), pages 199-215, June.
    28. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    29. Neokosmidis, Ioannis & Avaritsiotis, Nikolaos & Ventoura, Zoe & Varoutas, Dimitris, 2015. "Assessment of the gap and (non-)Internet users evolution based on population biology dynamics," Telecommunications Policy, Elsevier, vol. 39(1), pages 14-37.
    30. Rao, K. Usha & Kishore, V.V.N., 2010. "A review of technology diffusion models with special reference to renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1070-1078, April.

  45. Fiebig, Denzil G. & Seale, James & Theil, Henri, 1987. "The demand for energy : Evidence from a cross-country demand system," Energy Economics, Elsevier, vol. 9(3), pages 149-153, July.

    Cited by:

    1. Scott, Susan & McCoy, Daniel, 1993. "Energy Conservation in the Home - Are We Contrary?," Book Chapters, in: FitzGerald, John (ed.),Issues in Irish Energy Policy, Economic and Social Research Institute (ESRI).
    2. Conniffe, Denis & Scott, Susan, 1990. "Energy Elasticities: Responsiveness of Demands for Fuels to Income and Price Changes," Research Series, Economic and Social Research Institute (ESRI), number GRS149.
    3. Castro Martins, Maria Lurdes, 2003. "International differences in telecommunications demand," Information Economics and Policy, Elsevier, vol. 15(3), pages 291-303, September.
    4. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    5. Seale, James L. & Solano, Alexis A., 2012. "The changing demand for energy in rich and poor countries over 25years," Energy Economics, Elsevier, vol. 34(6), pages 1834-1844.
    6. Regmi, Anita & Seale, James L., Jr., 2010. "Cross-Price Elasticities of Demand Across 114 Countries," Technical Bulletins 59870, United States Department of Agriculture, Economic Research Service.
    7. Erling Holmøy, 2005. "The Anatomy of Electricity Demand: A CGE Decomposition for Norway," Discussion Papers 426, Statistics Norway, Research Department.
    8. Eleyan, Mohammed I.Abu & Çatık, Abdurrahman Nazif & Balcılar, Mehmet & Ballı, Esra, 2021. "Are long-run income and price elasticities of oil demand time-varying? New evidence from BRICS countries," Energy, Elsevier, vol. 229(C).
    9. Roberto Roson & Enrica de Cian & Elisa Lanzi, 2007. "The Impact of Temperature Change on Energy Demand a Dynamic Panel Analysis," Working Papers 2007_06, Department of Economics, University of Venice "Ca' Foscari".
    10. Nourah Al Yousef, 2013. "Demand for Oil Products in OPEC Countries: A Panel Cointegration Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 3(2), pages 168-177.
    11. Gang Liu, 2004. "Estimating Energy Demand Elasticities for OECD Countries. A Dynamic Panel Data Approach," Discussion Papers 373, Statistics Norway, Research Department.
    12. Narayan, Paresh Kumar & Smyth, Russell, 2007. "A panel cointegration analysis of the demand for oil in the Middle East," Energy Policy, Elsevier, vol. 35(12), pages 6258-6265, December.
    13. Conniffe, Denis & McCoy, Daniel, 1993. "Energy Elasticity Estimates and the Stability of the Relationship with GDP," Book Chapters, in: FitzGerald, John (ed.),Issues in Irish Energy Policy, Economic and Social Research Institute (ESRI).
    14. FitzGerald, John & McCoy, Daniel, 1993. "Issues in Irish Energy Policy," Research Series, Economic and Social Research Institute (ESRI), number PRS20.

  46. Fiebig, Denzil G, 1985. "Evaluating Estimators without Moments," The Review of Economics and Statistics, MIT Press, vol. 67(3), pages 529-534, August.

    Cited by:

    1. Kalvinder Shields & Kevin Lee, 2004. "Overcoming Measurement Error Problems in the use of Survey Data on Expectations," Econometric Society 2004 Australasian Meetings 107, Econometric Society.
    2. Crudu, Federico & Sándor, Zsolt, 2011. "On the finite-sample properties of conditional empirical likelihood estimators," MPRA Paper 34116, University Library of Munich, Germany.
    3. Richard T. Carson & Mikołaj Czajkowski, 2018. "A New Baseline Model for Estimating Willingness to Pay from Discrete Choice Models," Working Papers 2018-04, Faculty of Economic Sciences, University of Warsaw.

  47. Fiebig, Denzil G. & Finke, Renate & Theil, Henri, 1984. "More on goodness of fit of allocation models," Economics Letters, Elsevier, vol. 15(1-2), pages 5-11.

    Cited by:

    1. E.J. Roberts, 1990. "The Demand for Meat: Part III," Economics Discussion / Working Papers 90-13, The University of Western Australia, Department of Economics.

  48. Fiebig, Denzil G. & Theil, Henri, 1983. "The two perils of symmetry-constrained estimation of demand systems," Economics Letters, Elsevier, vol. 13(2-3), pages 105-111.

    Cited by:

    1. Browning, Martin, 2005. "A working paper from April 1985: Which demand elasticities do we know and which do we need to know for policy analysis?," Research in Economics, Elsevier, vol. 59(4), pages 293-320, December.
    2. C. Martínez-Mongay & Marcos Sanso & Fernando Sanz, 1991. "Las importaciones españolas de manufacturas y la integración en la CEE," Investigaciones Economicas, Fundación SEPI, vol. 15(1), pages 121-141, January.

  49. Kapteyn, Arie & Fiebig, Denzil G., 1981. "When are two-stage and three-stage least squares estimators identical?," Economics Letters, Elsevier, vol. 8(1), pages 53-57.

    Cited by:

    1. Alan J. Rogers, 2013. "Concentration Ellipsoids, Their Planes of Support, and the Linear Regression Model," Econometric Reviews, Taylor & Francis Journals, vol. 32(2), pages 220-243, February.
    2. Yurtseven, Çağlar, 2015. "The causes of electricity theft: An econometric analysis of the case of Turkey," Utilities Policy, Elsevier, vol. 37(C), pages 70-78.
    3. Raghbendra Jha & Hari Nagarajan & Kailash C.Pradhan, 2013. "The role of bribes in rural governance: The case of India," ASARC Working Papers 2013-03, The Australian National University, Australia South Asia Research Centre.
    4. Fisher, Gordon, 2004. "Une condition d’invariance du modèle de régression à coefficients aléatoires," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 405-419, Juin-Sept.
    5. Raghbendra Jha & Hari K. Nagarajan & Anirudh Tagat, 2017. "Jati, local public goods and village governence: private actions and public outcomes," ASARC Working Papers 2017-01, The Australian National University, Australia South Asia Research Centre.
    6. Raghbendra Jha & Hari K. Nagarajan & Kailash C. Pradhan, 2011. "Bribing to Circumvent Capture and Facilitate Participation in Social Programs: Evidence from Indian Villages," ASARC Working Papers 2011-13, The Australian National University, Australia South Asia Research Centre.
    7. Raghbendra Jha & Hari K Nagarajan & Anirudh Tagat, 2017. "Bribery, democracy and their impact on governance and welfare: The case of rural India," ASARC Working Papers 2017-03, The Australian National University, Australia South Asia Research Centre.
    8. Heather L. Bednarek & Hailong Qian, 2016. "The optimality of non-optimal GMM estimation of parameters of interest and the partial asymptotic efficiency of 2SLS estimation," Economics Bulletin, AccessEcon, vol. 36(3), pages 1636-1649.

  50. Theil, Henri & Fiebig, Denzil, 1981. "A maximum entropy approach to the specification of distributed lags," Economics Letters, Elsevier, vol. 7(4), pages 339-342.

    Cited by:

    1. Park, Ji-Won & Kim, Chae Un & Isard, Walter, 2012. "Permit allocation in emissions trading using the Boltzmann distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4883-4890.
    2. Lu Jiang, 1996. "Economic entropy and its application to the structure of the transport system," Quality & Quantity: International Journal of Methodology, Springer, vol. 30(2), pages 161-171, May.
    3. Virtue U. Ekhosuehi & David E. Omoregie, 2021. "Inspecting debt servicing mechanism in Nigeria using ARMAX model of the Koyck-kind," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 5-20.
    4. Farzad Alavi Fard & Firmin Doko Tchatoka & Sivagowry Sriananthakumar, 2015. "Maximum Entropy Evaluation of Asymptotic Hedging Error under a Generalised Jump-Diffusion Model," School of Economics and Public Policy Working Papers 2015-17, University of Adelaide, School of Economics and Public Policy.
    5. Ji-Won Park & Chae Un Kim & Walter Isard, 2011. "Permit Allocation in Emissions Trading using the Boltzmann Distribution," Papers 1108.2305, arXiv.org, revised Mar 2012.

  51. Fiebig, D G, 1980. "The Causal Relationship between Money and Income in Australia," Australian Economic Papers, Wiley Blackwell, vol. 19(34), pages 78-90, June.

    Cited by:

    1. Ansari, M. I., 1996. "Monetary vs. fiscal policy: Some evidence from vector autoregression for India," Journal of Asian Economics, Elsevier, vol. 7(4), pages 677-698.
    2. Phil Bodman, "undated". "Are the Effects of Monetary Policy Asymmetric in Australia?," MRG Discussion Paper Series 0406, School of Economics, University of Queensland, Australia.
    3. Samarjit Das, 2003. "Modelling money, price and output in India: a vector autoregressive and moving average (VARMA) approach," Applied Economics, Taylor & Francis Journals, vol. 35(10), pages 1219-1225.

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