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Nada Wasi

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Michael P. Keane & Nada Wasi, 2016. "Labour Supply: the Roles of Human Capital and the Extensive Margin," Economics Papers 2016-W05, Economics Group, Nuffield College, University of Oxford.

    Mentioned in:

    1. Labour Supply: the Roles of Human Capital and the Extensive Margin
      by Christian Zimmermann in NEP-DGE blog on 2016-07-06 18:39:33

Working papers

  1. Nada Wasi & Chinnawat Devahastin Na Ayudhya & Pucktada Treeratpituk & Chommanart Nittayo, 2021. "Understanding a Less Developed Labor Market through the Lens of Social Security Data," PIER Discussion Papers 147, Puey Ungphakorn Institute for Economic Research.

    Cited by:

    1. Cousins, Mel, 2022. "Elective social insurance systems in developing East and South-East Asian countries," MPRA Paper 114078, University Library of Munich, Germany.

  2. Nada Wasi & Chinnawat Devahastin Na Ayudhya & Ponpoje Porapakkarm & Nuarpear Lekfuangfu & Suphanit Piyapromdee, 2021. "Putting an Economic Framework into Thailand's Pension Reform," PIER Discussion Papers 157, Puey Ungphakorn Institute for Economic Research.

    Cited by:

    1. Phitawat Poonpolkul & Ponpoje Porapakkarm & Nada Wasi, 2022. "Aging, Inadequacy and Fiscal Constraint: The Case of Thailand," PIER Discussion Papers 182, Puey Ungphakorn Institute for Economic Research, revised Mar 2023.

  3. 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.

    Cited by:

    1. Liu, Hong & Ma, Jinqiu & Zhao, Liqiu, 2023. "Public long-term care insurance and consumption of elderly households: Evidence from China," Journal of Health Economics, Elsevier, vol. 90(C).
    2. Nicolet, Anna & Perraudin, Clémence & Krucien, Nicolas & Wagner, Joël & Peytremann-Bridevaux, Isabelle & Marti, Joachim, 2023. "Preferences of older adults for healthcare models designed to improve care coordination: Evidence from Western Switzerland," Health Policy, Elsevier, vol. 132(C).
    3. Amilon, Anna & Kjær, Agnete Aslaug & Ladenburg, Jacob & Siren, Anu, 2022. "Trust in the publicly financed care system and willingness to pay for long-term care: A discrete choice experiment in Denmark," Social Science & Medicine, Elsevier, vol. 311(C).
    4. He, Alex Jingwei & Qian, Jiwei & Chan, Wai-sum & Chou, Kee-lee, 2021. "Preferences for private long-term care insurance products in a super-ageing society: A discrete choice experiment in Hong Kong," Social Science & Medicine, Elsevier, vol. 270(C).
    5. Teahan, Áine & Walsh, Sharon & Doherty, Edel & O'Shea, Eamon, 2021. "Supporting family carers of people with dementia: A discrete choice experiment of public preferences," Social Science & Medicine, Elsevier, vol. 287(C).
    6. Lei, Xiaoyan & Bai, Chen & Hong, Jingpeng & Liu, Hong, 2022. "Long-term care insurance and the well-being of older adults and their families: Evidence from China," Social Science & Medicine, Elsevier, vol. 296(C).
    7. Wang, Qun & Abiiro, Gilbert Abotisem & Yang, Jin & Li, Peng & De Allegri, Manuela, 2021. "Preferences for long-term care insurance in China: Results from a discrete choice experiment," Social Science & Medicine, Elsevier, vol. 281(C).

  4. Warn N. Lekfuangfu & Suphanit Piyapromdee & Ponpoje Porapakkarm & Nada Wasi, 2020. "On Covid-19: New Implications of Job Task Requirements and Spouse's Occupational Sorting," RF Berlin - CReAM Discussion Paper Series 2012, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).

    Cited by:

    1. Adams-Prassl, Abigail & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Work That Can Be Done from Home: Evidence on Variation within and across Occupations and Industries," IZA Discussion Papers 13374, Institute of Labor Economics (IZA).
    2. Simon Mongey & Laura Pilossoph & Alex Weinberg, 2020. "Which Workers Bear the Burden of Social Distancing?," NBER Working Papers 27085, National Bureau of Economic Research, Inc.
    3. Abdulrahman O. Al-Youbi & Abdulmonem Al-Hayani & Ali Rizwan & Hani Choudhry, 2020. "Implications of COVID-19 on the Labor Market of Saudi Arabia: The Role of Universities for a Sustainable Workforce," Sustainability, MDPI, vol. 12(17), pages 1-13, August.
    4. Goenka, Aditya & Liu, Lin & Nguyen, Manh-Hung, 2021. "Modeling optimal quarantines with waning immunity," TSE Working Papers 21-1206, Toulouse School of Economics (TSE), revised Jul 2022.
    5. Aditya Goenka & Lin Liu & Nguyen, Manh-Hung, 2020. "Modeling optimal quarantines under infectious disease related mortality," Discussion Papers 20-24, Department of Economics, University of Birmingham.
    6. Suphanit Piyapromdee & Peter Spittal, 2020. "The Income and Consumption Effects of COVID‐19 and the Role of Public Policy," Fiscal Studies, John Wiley & Sons, vol. 41(4), pages 805-827, December.
    7. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2022. "Who Suffers the Most During the COVID-19 Pandemic? Evidence from Thailand," PIER Discussion Papers 190, Puey Ungphakorn Institute for Economic Research.
    8. Pilar Alvargonzález & Myroslav Pidkuyko & Ernesto Villanueva, 2020. "The financial position of the workers most affected by the pandemic: an analysis drawing on the Spanish Survey of Household Finances," Economic Bulletin, Banco de España, issue 3/2020.
    9. Egor Malkov, 2021. "Spousal Occupational Sorting and COVID-19 Incidence: Evidence from the United States," Papers 2107.14350, arXiv.org, revised Sep 2021.
    10. Caselli, Mauro & Fracasso, Andrea & Traverso, Silvio, 2021. "Robots and risk of COVID-19 workplace contagion: Evidence from Italy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    11. Adams-Prassl, A. & Boneva, T. & Golin, M. & Rauh, C., 2020. "Work Tasks That Can Be Done From Home: Evidence on Variation Within and Across Occupations and Industries," Cambridge Working Papers in Economics 2040, Faculty of Economics, University of Cambridge.
    12. Cecilia Peluffo & Mariana Viollaz, 2021. "Intra-household exposure to labor market risk in the time of Covid-19: lessons from Mexico," Review of Economics of the Household, Springer, vol. 19(2), pages 327-351, June.
    13. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2021. "A ‘She-session’? The Impact of COVID-19 on the Labour Market in Thailand," Working Papers DP-2021-11, Economic Research Institute for ASEAN and East Asia (ERIA).
    14. Satoshi Tanaka, 2022. "Economic Impacts of SARS/MERS/COVID‐19 in Asian Countries," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(1), pages 41-61, January.
    15. Takatoshi Ito & Kazumasa Iwata & Colin McKenzie & Haruko Noguchi & Shujiro Urata, 2022. "The COVID‐19 Pandemic and Asia: Editors' Overview," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(1), pages 1-17, January.
    16. Constanza Fosco & Felipe Zurita, 2021. "Assessing the short-run effects of lockdown policies on economic activity, with an application to the Santiago Metropolitan Region, Chile," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-23, June.

  5. Nuarpear Lekfuangfu & Suphanit Piyapromdee & Ponpoje Porapakkarm & Nada Wasi, 2020. "Myths and Facts about Inequalities in Thailand," PIER Discussion Papers 144, Puey Ungphakorn Institute for Economic Research.

    Cited by:

    1. Veerayooth Kanchoochat, 2023. "Siamese Twin Troubles: Structural and Regulatory Transformations in Unequal Thailand," Asian Economic Policy Review, Japan Center for Economic Research, vol. 18(1), pages 47-68, January.
    2. Phitawat Poonpolkul & Ponpoje Porapakkarm & Nada Wasi, 2022. "Aging, Inadequacy and Fiscal Constraint: The Case of Thailand," PIER Discussion Papers 182, Puey Ungphakorn Institute for Economic Research, revised Mar 2023.

  6. Worawan Chandoevwit & Nada Wasi, 2019. "Estimating Demand for Long-term Care Insurance in Thailand: Evidence from a Discrete Choice Experiment," PIER Discussion Papers 106, Puey Ungphakorn Institute for Economic Research.

    Cited by:

    1. Yong Wei & Liangwen Zhang, 2020. "Analysis of the Influencing Factors on the Preferences of the Elderly for the Combination of Medical Care and Pension in Long-Term Care Facilities Based on the Andersen Model," IJERPH, MDPI, vol. 17(15), pages 1-14, July.

  7. Nada Wasi & Sasiwimon Warunsiri Paweenawat & Chinnawat Devahastin Na Ayudhya & Pucktada Treeratpituk & Chommanart Nittayo, 2019. "Labor Income Inequality in Thailand: the Roles of Education, Occupation and Employment History," PIER Discussion Papers 117, Puey Ungphakorn Institute for Economic Research.

    Cited by:

    1. Daranrat Jaitiang & Wen-Chi Huang & Shang-Ho Yang, 2021. "Does Income Inequality Exist among Urban Farmers? A Demonstration of Lorenz Curves from Northern Thailand," Sustainability, MDPI, vol. 13(9), pages 1-16, May.
    2. Athiphat Muthitacharoen & Trongwut Burong & Athiphat Muthitacharoen, 2023. "Climbing the Economic Ladder: Earnings Inequality and Intragenerational Mobility among Thai Formal Workers," CESifo Working Paper Series 10202, CESifo.
    3. Sukampon Chongwilaikasaem & Chaleampong Kongcharoen & Nakarin Amarase, 2022. "Relationship between Conflict and Labor Market in the Deep South of Thailand," PIER Discussion Papers 193, Puey Ungphakorn Institute for Economic Research.
    4. Wanetha Sudswong & Anon Plangprasopchok & Chainarong Amornbunchornvej, 2021. "Occupational Income Inequality of Thailand: A Case Study of Exploratory Data Analysis beyond Gini Coefficient," Papers 2111.06224, arXiv.org.

  8. John M. Abowd & Joelle Abramowitz & Margaret C. Levenstein & Kristin McCue & Dhiren Patki & Trivellore Raghunathan & Ann M. Rodgers & Matthew D. Shapiro & Nada Wasi, 2019. "Optimal Probabilistic Record Linkage: Best Practice for Linking Employers in Survey and Administrative Data," Working Papers 19-08, Center for Economic Studies, U.S. Census Bureau.

    Cited by:

    1. Nada Wasi & Sasiwimon Warunsiri Paweenawat & Chinnawat Devahastin Na Ayudhya & Pucktada Treeratpituk & Chommanart Nittayo, 2019. "Labor Income Inequality in Thailand: the Roles of Education, Occupation and Employment History," PIER Discussion Papers 117, Puey Ungphakorn Institute for Economic Research.

  9. Michael P. Keane & Nada Wasi, 2016. "Labour Supply: the Roles of Human Capital and the Extensive Margin," Economics Papers 2016-W05, Economics Group, Nuffield College, University of Oxford.

    Cited by:

    1. Keane, Michael P., 2022. "Recent research on labor supply: Implications for tax and transfer policy," Labour Economics, Elsevier, vol. 77(C).
    2. Havranek, Tomas & Horvath, Roman & Elminejad, Ali, 2021. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," MetaArXiv nshqx, Center for Open Science.
    3. Paolo Di Caro & Roberta Arbolino & Ugo Marani, 2018. "A note on the effects of human capital policies in Italy during the Great Recession," Economics Bulletin, AccessEcon, vol. 38(3), pages 1302-1312.
    4. Michael P. Keane & Timothy Neal, 2023. "Robust Inference for the Frisch Labor Supply Elasticity," Opportunity and Inclusive Growth Institute Working Papers 081, Federal Reserve Bank of Minneapolis.
    5. Johan Gustafsson, 2021. "Age-Targeted Income Taxation, Labor Supply, and Retirement," CESifo Working Paper Series 8988, CESifo.
    6. Hirte, Georg & Tscharaktschiew, Stefan, 2018. "The impact of anti-congestion policies and the role of labor-supply margins," CEPIE Working Papers 04/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    7. Choonsung Park, 2020. "Consumption, Reservation Wages, and Aggregate Labor Supply," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 54-80, July.
    8. Nada Wasi & Chinnawat Devahastin Na Ayudhya & Pucktada Treeratpituk & Chommanart Nittayo, 2021. "Understanding a Less Developed Labor Market through the Lens of Social Security Data," PIER Discussion Papers 147, Puey Ungphakorn Institute for Economic Research.
    9. Koray Aktas, 2021. "Characterizing Life-Cycle Dynamics of Annual Days of Work, Wages, and Cross-Covariances," Working Papers 465, University of Milano-Bicocca, Department of Economics.
    10. Gałecka-Burdziak, Ewa & Góra, Marek & Jessen, Jonas & Jessen, Robin & Kluve, Jochen, 2021. "The effects of shortening potential benefit duration: Evidence from regional cut-offs and a policy reform," Ruhr Economic Papers 911, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Fedor Iskhakov & Michael Keane, 2018. "Effects of Taxes and Safety Net Pensions on life-cycle Labor Supply, Savings and Human Capital: the Case of Australia," Discussion Papers 2018-09, School of Economics, The University of New South Wales.
    12. Nada Wasi & Sasiwimon Warunsiri Paweenawat & Chinnawat Devahastin Na Ayudhya & Pucktada Treeratpituk & Chommanart Nittayo, 2019. "Labor Income Inequality in Thailand: the Roles of Education, Occupation and Employment History," PIER Discussion Papers 117, Puey Ungphakorn Institute for Economic Research.
    13. Yuanyuan Deng & Hanming Fang & Katja Hanewald & Shang Wu, 2021. "Delay the Pension Age or Adjust the Pension Bene?t? Implications for Labor Supply and Individual Welfare in China," PIER Working Paper Archive 21-014, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    14. Moore, Rachel & Pecoraro, Brandon, 2020. "Macroeconomic implications of modeling the Internal Revenue Code in a heterogeneous-agent framework," Economic Modelling, Elsevier, vol. 87(C), pages 72-91.
    15. Hirte, Georg & Tscharaktschiew, Stefan, 2020. "The role of labor-supply margins in shaping optimal transport taxes," Economics of Transportation, Elsevier, vol. 22(C).
    16. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2022. "Dynamic simulation of taxes and welfare benefits by database imputation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA3/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    17. Katrine M. Jakobsen & Thomas H. Jørgensen & Hamish Low, 2022. "Fertility and Family Labor Supply," CEBI working paper series 22-04, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    18. Ali Elminejad & Tomas Havranek & Roman Horvath & Zuzana Irsova, 2023. "Online Appendix to "Intertemporal Substitution in Labor Supply: A Meta-Analysis"," Online Appendices 23-196, Review of Economic Dynamics.
    19. Marcin Bielecki & Michał Brzoza-Brzezina & Marcin Kolasa, 2020. "Demographics and the natural interest rate in the euro area," Working Papers 2020-24, Faculty of Economic Sciences, University of Warsaw.
    20. Magnac, Thierry, 2023. "Capital humain et recherche d'emploi: un mariage heureux - Human Capital and Search Models: A Happy Match," TSE Working Papers 23-1489, Toulouse School of Economics (TSE).
    21. Hotchkiss, Julie L. & Moore, Robert E. & Rios-Avila, Fernando, 2020. "Cost of policy choices: A microsimulation analysis of the impact on family welfare of unemployment and price changes," Journal of Macroeconomics, Elsevier, vol. 63(C).
    22. Mario Alloza, 2016. "The Impact of Taxes on Income Mobility," Discussion Papers 1632, Centre for Macroeconomics (CFM).
    23. Woodland, A., 2016. "Taxation, Pensions, and Demographic Change," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 713-780, Elsevier.
    24. Gustafsson, Johan, 2021. "Age-Targeted Income Taxation, Labor Supply, and Retirement," Umeå Economic Studies 985, Umeå University, Department of Economics, revised 01 Mar 2021.
    25. Julie L. Hotchkiss & Robert E. Moore & Fernando Rios-Avila, 2021. "Impact of the 2017 Tax Cuts and Jobs Act on Labor Supply and Welfare of Married Households," FRB Atlanta Working Paper 2021-18, Federal Reserve Bank of Atlanta.
    26. Elías Albagli & Gabriela Contreras & Matías Tapia & Juan M. Wlasiuk, 2021. "Earnings Cyclicality of New and Continuing Jobs: The Role of Tenure and Transition Length," Working Papers Central Bank of Chile 903, Central Bank of Chile.
    27. Phitawat Poonpolkul, 2023. "Age-Dependent Risk Aversion: Re-evaluating Fiscal Policy Impacts of Population Aging," PIER Discussion Papers 198, Puey Ungphakorn Institute for Economic Research.

  10. Michael P. Keane & Nada Wasi, 2013. "The Structure of Consumer Taste Heterogeneity in Revealed vs. Stated Preference Data," Economics Papers 2013-W10, Economics Group, Nuffield College, University of Oxford.

    Cited by:

    1. Rolf Aaberge & Ugo Colombino, 2015. "Labour Supply models," Discussion Papers 807, Statistics Norway, Research Department.
    2. Neumann, Nico & Böckenholt, Ulf, 2014. "A Meta-analysis of Loss Aversion in Product Choice," Journal of Retailing, Elsevier, vol. 90(2), pages 182-197.
    3. Francesco Paolucci & Ken Redekop & Ayman Fouda & Gianluca Fiorentini, 2017. "Decision Making and Priority Setting: The Evolving Path Towards Universal Health Coverage," Applied Health Economics and Health Policy, Springer, vol. 15(6), pages 697-706, December.

  11. Nada Wasi & Michael P. Keane, 2012. "Estimation of Discrete Choice Models with Many Alternatives Using Random Subsets of the Full Choice Set: With an Application to Demand for Frozen Pizza," Economics Papers 2012-W13, Economics Group, Nuffield College, University of Oxford.

    Cited by:

    1. Khai Xiang Chiong & Matthew Shum, 2019. "Random Projection Estimation of Discrete-Choice Models with Large Choice Sets," Management Science, INFORMS, vol. 65(1), pages 256-271, January.
    2. Hellali, Wajdi & Kallas, Zein & Gil, José María, 2015. "Consumer’s revealed preferences for yogurt purchase in Catalonia: A Generalized Multinomial Logit Approach," 148th Seminar, November 30-December 1, 2015, The Hague, The Netherlands 229263, European Association of Agricultural Economists.
    3. Beck, Günter W. & Kotz, Hans-Helmut & Zabelina, Natalia, 2016. "Prices and consumer purchasing preferences at the border: Evidence from a multi-country household scanner data set," CFS Working Paper Series 536, Center for Financial Studies (CFS).
    4. Youyi Bi & Yunjian Qiu & Zhenghui Sha & Mingxian Wang & Yan Fu & Noshir Contractor & Wei Chen, 2021. "Modeling Multi-Year Customers’ Considerations and Choices in China’s Auto Market Using Two-Stage Bipartite Network Analysis," Networks and Spatial Economics, Springer, vol. 21(2), pages 365-385, June.
    5. Crawford, Gregory S. & Griffith, Rachel & Iaria, Alessandro, 2021. "A survey of preference estimation with unobserved choice set heterogeneity," Journal of Econometrics, Elsevier, vol. 222(1), pages 4-43.
    6. Fiona Steele & Elizabeth Washbrook & Christopher Charlton & William J. Browne, 2016. "A Longitudinal Mixed Logit Model for Estimation of Push and Pull Effects in Residential Location Choice," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 1061-1074, July.
    7. Michael P. Keane & Susan Thorp, 2016. "Complex Decision Making: The Roles of Cognitive Limitations, Cognitive Decline and Ageing," Economics Papers 2016-W10, Economics Group, Nuffield College, University of Oxford.
    8. Murwirapachena, Genius & Dikgang, Johane, 2018. "An empirical examination of reducing status quo bias in heterogeneous populations: evidence from the South African water sector," MPRA Paper 91549, University Library of Munich, Germany.
    9. Romana Khan & Ting Zhu & Sanjay Dhar, 2018. "The effect of the WIC program on consumption patterns in the cereal category," Quantitative Marketing and Economics (QME), Springer, vol. 16(1), pages 79-109, March.
    10. Jonathan James, 2018. "Estimation of Factor Structured Covariance Mixed Logit Models," Working Papers 1802, California Polytechnic State University, Department of Economics.
    11. James, Jonathan, 2018. "Estimation of factor structured covariance mixed logit models," Journal of choice modelling, Elsevier, vol. 28(C), pages 41-55.

  12. 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.

    Cited by:

    1. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    2. Eimear Leahy & Richard Tol, 2012. "Greener homes: an ex-post estimate of the cost of carbon dioxide emission reduction using administrative micro-data from the Republic of Ireland," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 14(3), pages 219-239, July.
    3. 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.
    4. Marlena Piekut, 2021. "The Consumption of Renewable Energy Sources (RES) by the European Union Households between 2004 and 2019," Energies, MDPI, vol. 14(17), pages 1-31, September.
    5. Ma, Ben & Yu, Yihua & Urban, Frauke, 2018. "Green transition of energy systems in rural China: National survey evidence of households’ discrete choices on water heaters," Energy Policy, Elsevier, vol. 113(C), pages 559-570.
    6. Doherty, Edel & Campbell, Danny & Hynes, Stephen, 2012. "Exploring cost heterogeneity in recreational demand," Working Papers 148832, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    7. David Hensher & Andrew Collins & William Greene, 2013. "Accounting for attribute non-attendance and common-metric aggregation in a probabilistic decision process mixed multinomial logit model: a warning on potential confounding," Transportation, Springer, vol. 40(5), pages 1003-1020, September.
    8. 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.
    9. Shigeru Matsumoto, 2018. "Consumer valuation of energy-saving features of residential air conditioners with hedonic and choice models," Empirical Economics, Springer, vol. 55(4), pages 1779-1806, December.
    10. Vincenzina Caputo & Riccardo Scarpa & Rodlofo M. Nayga & David L. Ortega, 2017. "Are Preferences for Food Quality Attributes Really Normally Distributed? An Analysis Using Flexible Mixing Distributions," Working Papers in Economics 17/27, University of Waikato.
    11. Nada Wasi & Jirawat Panpiemras & Wanwiphang Manachotphong, 2021. "The Impact of a Billing System on Healthcare Utilization: Evidence from the Thai Civil Servant Medical Benefit Scheme," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 228-251, February.
    12. Jacksohn, Anke & Grösche, Peter & Rehdanz, Katrin & Schröder, Carsten, 2019. "Drivers of renewable technology adoption in the household sector," Energy Economics, Elsevier, vol. 81(C), pages 216-226.
    13. Edel Doherty & Danny Campbell & Stephen Hynes, 2013. "Models of Site-choice for Walks in Rural Ireland: Exploring Cost Heterogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 446-466, June.
    14. Brent, Daniel A. & Ward, Michael B., 2018. "Energy efficiency and financial literacy," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 181-216.
    15. Hlavinka, Alexander N. & Mjelde, James W. & Dharmasena, Senarath & Holland, Christine, 2016. "Forecasting the adoption of residential ductless heat pumps," Energy Economics, Elsevier, vol. 54(C), pages 60-67.
    16. Nada Wasi & Jirawat Panpiemras & Wanwiphang Manachotphong, 2016. "The Impacts of the Billing System on Healthcare Utilization: The Case of Thai Civil Servant Medical Benefit Scheme," PIER Discussion Papers 48, Puey Ungphakorn Institute for Economic Research.
    17. Tanaka, Takuro & Mizutani, Fumitoshi, 2023. "Determinants of the adoption of energy efficient water heaters in the residential sector: Evidence from a survey in Japan," Energy Policy, Elsevier, vol. 180(C).

  13. Nada Wasi & Michelle J. White, 2005. "Property Tax Limitations and Mobility: The Lock-in Effect of California's Proposition 13," NBER Working Papers 11108, National Bureau of Economic Research, Inc.

    Cited by:

    1. Liu, Shimeng & Yang, Xi, 2020. "Property tax limits and female labor supply: Evidence from the housing boom and bust," Journal of Housing Economics, Elsevier, vol. 50(C).
    2. Fernando Ferreira, 2008. "You Can Take it With You: Proposition 13 Tax Benefits, Residential Mobility, and Willingness to Pay for Housing Amenities," Working Papers 08-15, Center for Economic Studies, U.S. Census Bureau.
    3. Skidmore, Mark & Ballard, Charles L. & Hodge, Timothy R., 2010. "Property Value Assessment Growth Limits and Redistribution of Property Tax Payments: Evidence From Michigan," National Tax Journal, National Tax Association;National Tax Journal, vol. 63(3), pages 509-537, September.
    4. Lei Ding & Jackelyn Hwang, 2020. "Effects of Gentrification on Homeowners: Evidence from a Natural Experiment," Working Papers 20-16, Federal Reserve Bank of Philadelphia.
    5. Cheung, Ron & Cunningham, Chris, 2011. "Who supports portable assessment caps: The role of lock-in, mobility and tax share," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 173-186, May.
    6. Ihlanfeldt, Keith R., 2011. "Do Caps on Increases in Assessed Values Create a Lock-in Effect? Evidence From Florida’s Amendment One," National Tax Journal, National Tax Association;National Tax Journal, vol. 64(1), pages 8-25, March.
    7. Skidmore, Mark & Tosun, Mehmet S., 2010. "Property Value Assessment Growth Limits, Tax Base Erosion and Regional In-Migration," IZA Discussion Papers 4906, Institute of Labor Economics (IZA).
    8. Ayse Imrohoroglu, 2014. "Proposition 13: An Equilibrium Analysis," 2014 Meeting Papers 1250, Society for Economic Dynamics.
    9. Fernando Ferreira & Joseph Gyourko & Joseph Tracy, 2011. "Housing busts and household mobility: an update," Staff Reports 526, Federal Reserve Bank of New York.
    10. Patrick Kline & Enrico Moretti, 2013. "People, Places and Public Policy: Some Simple Welfare Economics of Local Economic Development Programs," NBER Working Papers 19659, National Bureau of Economic Research, Inc.
    11. Fernando Ferreira & Joseph Gyourko & Joseph Tracy, 2008. "Housing busts and household mobility," Staff Reports 350, Federal Reserve Bank of New York.
    12. Miles M. Finney & Frank Goetzke & Mann J. Yoon, 2011. "Income Sorting and the Demand for Clean Air: Evidence from Southern California," Land Economics, University of Wisconsin Press, vol. 87(1), pages 19-27.
    13. William H. Hoyt & Aaron Yelowitz, 2016. "Anticipated Property Tax Increases and the Timing of Home Sales: Evidence from Administrative Data," CESifo Working Paper Series 6264, CESifo.
    14. Shan, Hui, 2010. "Property taxes and elderly mobility," Journal of Urban Economics, Elsevier, vol. 67(2), pages 194-205, March.
    15. Nalitra Thaiprasert & Dagney Faulk & Michael J. Hicks, 2013. "A Regional Computable General Equilibrium Analysis of Property Tax Rate Caps and a Sales Tax Rate Increase in Indiana," Public Finance Review, , vol. 41(4), pages 446-472, July.
    16. Bradley, Sebastien, 2018. "Assessment limits and timing of real estate transactions," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 360-372.
    17. John Deskins & William Fox, 2008. "Measuring Behavioral Responses to the Property Tax," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0816, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    18. Korytin, A.V. (Корытин, А.В.) & Shatalovа, Svetlana Sergeevna (Шаталова, Светлана Сергеевна), 2016. "Improving the Tax Relief on Personal Property [Совершенствование Льгот По Налогу На Имущество Физических Лиц]," Working Papers 2334, Russian Presidential Academy of National Economy and Public Administration.
    19. Springer, Job D. & Lusby, Aaron K. & Leatherman, John C. & Featherstone, Allen M., 2007. "Property Tax Lids and the Effect on Kansas," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34887, Southern Agricultural Economics Association.
    20. Mark Hoven Stohs & Yun W. Park, 2007. "Residential Stability or Rational Bubble: Proposition 13 in Southern California," International Real Estate Review, Global Social Science Institute, vol. 10(1), pages 26-47.
    21. Chris Cunningham & Robert R. Reed, 2012. "Housing wealth and wage bargaining," FRB Atlanta Working Paper 2012-20, Federal Reserve Bank of Atlanta.
    22. Brooks Depro & Raymond B. Palmquist, 2012. "How Do Ozone Levels Influence the Timing of Residential Moves?," Land Economics, University of Wisconsin Press, vol. 88(1), pages 43-57.
    23. Ding, Lei & Hwang, Jackelyn, 2020. "Effects of gentrification on homeowners: Evidence from a natural experiment," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    24. Wayne Archer & David Ling & Brent C Smith, 2010. "Ownership Duration in the Residential Housing Market: The Influence of Structure, Tenure, Household and Neighborhood Factors," The Journal of Real Estate Finance and Economics, Springer, vol. 40(1), pages 41-61, January.
    25. Andrew Hanson, 2021. "Taxes and Economic Development: An Update on the State of the Economics Literature," Economic Development Quarterly, , vol. 35(3), pages 232-253, August.

Articles

  1. Chandoevwit, Worawan & Wasi, Nada, 2020. "Incorporating discrete choice experiments into policy decisions: Case of designing public long-term care insurance," Social Science & Medicine, Elsevier, vol. 258(C).
    See citations under working paper version above.
  2. Keane, Michael P. & Wasi, Nada, 2016. "How to model consumer heterogeneity? Lessons from three case studies on SP and RP data," Research in Economics, Elsevier, vol. 70(2), pages 197-231.

    Cited by:

    1. 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.
    2. Etro, Federico, 2016. "Research in economics and industrial organization," Research in Economics, Elsevier, vol. 70(4), pages 511-517.
    3. Keane, M.P. & Thorp, S., 2016. "Complex Decision Making," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 661-709, Elsevier.
    4. Michael P. Keane & Jonathan D. Ketcham & Nicolai V. Kuminoff & Timothy Neal, 2019. "Evaluating Consumers' Choices of Medicare Part D Plans: A Study in Behavioral Welfare Economics," NBER Working Papers 25652, National Bureau of Economic Research, Inc.
    5. Gupta, Vishal Kumar & Ting, Q.U. & Tiwari, Manoj Kumar, 2019. "Multi-period price optimization problem for omnichannel retailers accounting for customer heterogeneity," International Journal of Production Economics, Elsevier, vol. 212(C), pages 155-167.
    6. Doi, Naoshi, 2022. "A simple method to estimate discrete-type random coefficients logit models," International Journal of Industrial Organization, Elsevier, vol. 81(C).

  3. Michael P. Keane & Nada Wasi, 2016. "Labour Supply: The Roles of Human Capital and The Extensive Margin," Economic Journal, Royal Economic Society, vol. 0(592), pages 578-617, May.
    See citations under working paper version above.
  4. Nada Wasi & Aaron Flaaen, 2015. "Record linkage using Stata: Preprocessing, linking, and reviewing utilities," Stata Journal, StataCorp LP, vol. 15(3), pages 672-697, September.

    Cited by:

    1. Xu, Dafeng, 2020. "The effects of immigration restriction laws on immigrant segregation in the early twentieth century U.S," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 422-447.
    2. Parag Mahajan, 2021. "Immigration and Local Business Dynamics: Evidence from U.S. Firms," Working Papers 21-18, Center for Economic Studies, U.S. Census Bureau.
    3. Mihaela Tofan & Mihaela Onofrei & Anca-Florentina Vatamanu, 2020. "Fiscal Responsibility Legal Framework—New Paradigm for Fiscal Discipline in the EU," Risks, MDPI, vol. 8(3), pages 1-18, July.
    4. Emmanuel Chavez, 2020. "The Effects of Public R&D Subsidies on Private R&D Activities in Mexico," Working Papers halshs-02355106, HAL.
    5. Sascha O. Becker & Francisco Pino & Jordi Vidal-Robert, 2021. "Freedom of the Press? Catholic Censorship during the Counter-Reformation," SoDa Laboratories Working Paper Series 2021-04, Monash University, SoDa Laboratories.
    6. Joseph Raffiee & Daniel Fehder & Florenta Teodoridis, 2022. "Revealing the revealed preferences of public firm CEOs and top executives: A new database from credit card spending," Strategic Management Journal, Wiley Blackwell, vol. 43(10), pages 2042-2065, October.
    7. Philip S. Brenner, 2021. "Effects of Nonresponse, Measurement, and Coverage Bias in Survey Estimates of Voting," Social Science Quarterly, Southwestern Social Science Association, vol. 102(2), pages 939-954, March.
    8. Catalina Amuedo-Dorantes & Esther Arenas-Arroyo & Parag Mahajan & Bernhard Schmidpeter, 2024. "Low-Wage Jobs, Foreign-Born Workers, and Firm Performance," Working Papers 24-05, Center for Economic Studies, U.S. Census Bureau.
    9. Emmanuel Chavez, 2020. "The Effects of R&D Tax Credits and Subsidies onPrivate R&D in Mexico (Chapter 2)," PSE Working Papers halshs-02652063, HAL.
    10. Catalina Amuedo-Dorantes & Esther Arenas-Arroyo & Parag Mahajan & Bernhard Schmidpeter, 2023. "Low-wage jobs, foreign-born workers, and firm performance," Economics working papers 2023-10, Department of Economics, Johannes Kepler University Linz, Austria.
    11. Thor, Andreas & Marx, Werner & Leydesdorff, Loet & Bornmann, Lutz, 2016. "Introducing CitedReferencesExplorer (CRExplorer): A program for reference publication year spectroscopy with cited references standardization," Journal of Informetrics, Elsevier, vol. 10(2), pages 503-515.
    12. Fariha Kamal & Ryan Monarch, 2018. "Identifying foreign suppliers in U.S. import data," Review of International Economics, Wiley Blackwell, vol. 26(1), pages 117-139, February.
    13. Rhys M. Bidder & John Krainer & Adam Hale Shapiro, 2019. "De-leveraging or De-risking? How Banks Cope with Loss," Working Paper Series 2017-3, Federal Reserve Bank of San Francisco.
    14. Bryan A. Stuart, 2022. "The Long-Run Effects of Recessions on Education and Income," American Economic Journal: Applied Economics, American Economic Association, vol. 14(1), pages 42-74, January.
    15. Ghaly, Mohamed & Kostakis, Alexandros & Stathopoulos, Konstantinos, 2021. "The (non-) effect of labor unionization on firm risk: Evidence from the options market," Journal of Corporate Finance, Elsevier, vol. 66(C).
    16. Hassan Afrouzi & Andres Drenik & Ryan Kim, 2020. "Growing by the Masses - Revisiting the Link between Firm Size and Market Power," CESifo Working Paper Series 8633, CESifo.
    17. Matthew Knepper, 2020. "From the Fringe to the Fore: Labor Unions and Employee Compensation," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 98-112, March.
    18. Cassidy, Michael T., 2020. "Short Moves and Long Stays: Homeless Family Responses to Exogenous Shelter Assignments in New York City," IZA Discussion Papers 13559, Institute of Labor Economics (IZA).
    19. Glennon, Britta & Lane, Julia & Sodhi, Ridhima, 2018. "Money for Something: The Links between Research Funding and Innovation," IZA Discussion Papers 11711, Institute of Labor Economics (IZA).
    20. Jaeho Kim & Andy Wu, 2019. "Extending the role of headquarters beyond the firm boundary: entrepreneurial alliance innovation," Journal of Organization Design, Springer;Organizational Design Community, vol. 8(1), pages 1-35, December.
    21. Wenhua Di & Nathaniel Pattison, 2020. "Distant Lending, Specialization, and Access to Credit," Working Papers 2003, Federal Reserve Bank of Dallas.
    22. Alica Daly & Giulia Valacchi & Julio Raffo, 2019. "Measuring Innovation in the Mining Industry with Patents," WIPO Economic Research Working Papers 56, World Intellectual Property Organization - Economics and Statistics Division.
    23. Gianluca Orsatti & Valerio Sterzi, 2018. "Do Patent Assertion Entities Harm Innovation? Evidence from Patent Transfers in Europe," Cahiers du GREThA (2007-2019) 2018-08, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    24. Michael J. Andrews, 2023. "How Do Institutions of Higher Education Affect Local Invention? Evidence from the Establishment of US Colleges," American Economic Journal: Economic Policy, American Economic Association, vol. 15(2), pages 1-41, May.

  5. Wasi, Nada & Carson, Richard T., 2013. "The influence of rebate programs on the demand for water heaters: The case of New South Wales," Energy Economics, Elsevier, vol. 40(C), pages 645-656.
    See citations under working paper version above.
  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.

    Cited by:

    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. Zhou, Mo & Bridges, John F.P., 2019. "Explore preference heterogeneity for treatment among people with Type 2 diabetes: A comparison of random-parameters and latent-class estimation techniques," Journal of choice modelling, Elsevier, vol. 30(C), pages 38-49.
    3. José L. Oviedo & Hong Il Yoo, 2017. "A Latent Class Nested Logit Model for Rank-Ordered Data with Application to Cork Oak Reforestation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1021-1051, December.
    4. Max Löffler & Andreas Peichl & Sebastian Siegloch, 2014. "Structural Labor Supply Models and Wage Exogeneity," SOEPpapers on Multidisciplinary Panel Data Research 675, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Ajayi, V. & Reiner, D., 2020. "Consumer Willingness to Pay for Reducing the Environmental Footprint of Green Plastics," Cambridge Working Papers in Economics 20110, Faculty of Economics, University of Cambridge.
    6. Hong il Yoo, 2012. "The perceived unreliability of rank-ordered data: an econometric origin and implications," Discussion Papers 2012-46, School of Economics, The University of New South Wales.
    7. Horowitz, Joel L. & Nesheim, Lars, 2021. "Using penalized likelihood to select parameters in a random coefficients multinomial logit model," Journal of Econometrics, Elsevier, vol. 222(1), pages 44-55.
    8. Hurtubia, Ricardo & Nguyen, My Hang & Glerum, Aurélie & Bierlaire, Michel, 2014. "Integrating psychometric indicators in latent class choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 135-146.
    9. 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.
    10. 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.
    11. 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.
    12. Oluwagbenga Akinwehinmi & Kolawole Ogundari & Taye Timothy Amos, 2022. "Consumers’ food control risk perception and preference for food safety certification in emerging food markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 690-708, September.
    13. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2020. "A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles," Journal of choice modelling, Elsevier, vol. 36(C).
    14. Kragt, Marit Ellen, 2013. "Comparing models of unobserved heterogeneity in environmental choice experiments," Working Papers 144447, University of Western Australia, School of Agricultural and Resource Economics.
    15. 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.
    16. 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.
    17. Seojeong Oh & Benjamin M. Gramig, 2023. "Valuing Ecosystem Services and Downstream Water Quality Improvement in the U.S. Corn Belt," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(3), pages 823-872, August.
    18. 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.
    19. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    20. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
    21. Dekker, Thijs, 2016. "Asymmetric triangular mixing densities for mixed logit models," Journal of choice modelling, Elsevier, vol. 21(C), pages 48-55.
    22. Keane, M.P. & Thorp, S., 2016. "Complex Decision Making," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 661-709, Elsevier.
    23. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models," Journal of choice modelling, Elsevier, vol. 27(C), pages 97-113.
    24. Youssef M Aboutaleb & Mazen Danaf & Yifei Xie & Moshe Ben-Akiva, 2020. "Sparse Covariance Estimation in Logit Mixture Models," Papers 2001.05034, arXiv.org.
    25. Joel L. Horowitz & Lars Nesheim, 2018. "Using penalized likelihood to select parameters in a random coefficients multinomial logit model," CeMMAP working papers CWP29/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. Marti, Joachim & Buckell, John & Maclean, J. Catherine & Sindelar, Jody L., 2017. "To 'Vape' or Smoke? A Discrete Choice Experiment among Adult Smokers," IZA Discussion Papers 10490, Institute of Labor Economics (IZA).
    27. Shr, Yau-Huo & Ready, Richard C. & Orland, Brian & Echols, Stuart, 2017. "Do Visual Representations Influence Survey Responses? Evidence from a Choice Experiment on Landscape Attributes of Green Infrastructure," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258397, Agricultural and Applied Economics Association.
    28. Michael P. Keane, 2013. "Panel data discrete choice models of consumer demand," Economics Papers 2013-W08, Economics Group, Nuffield College, University of Oxford.
    29. Weber, Anett & Steiner, Winfried J., 2021. "Modeling price response from retail sales: An empirical comparison of models with different representations of heterogeneity," European Journal of Operational Research, Elsevier, vol. 294(3), pages 843-859.
    30. Shr, Yau-Huo (Jimmy) & Ready, Richard & Orland, Brian & Echols, Stuart, 2019. "How Do Visual Representations Influence Survey Responses? Evidence from a Choice Experiment on Landscape Attributes of Green Infrastructure," Ecological Economics, Elsevier, vol. 156(C), pages 375-386.
    31. Michael P. Keane & Jonathan D. Ketcham & Nicolai V. Kuminoff & Timothy Neal, 2019. "Evaluating Consumers' Choices of Medicare Part D Plans: A Study in Behavioral Welfare Economics," NBER Working Papers 25652, National Bureau of Economic Research, Inc.
    32. Wang, Chen & Sun, Jiayi & Russell, Roddy & Daziano, Ricardo A., 2018. "Analyzing willingness to improve the resilience of New York City's transportation system," Transport Policy, Elsevier, vol. 69(C), pages 10-19.
    33. Gonçalves, Tânia & Pinto, Lígia M. Costa & Lourenço-Gomes, Lina, 2019. "Exploring distinct sources of heterogeneity in discrete choice experiment: An application to wine choice across European consumers," Economics Letters, Elsevier, vol. 178(C), pages 28-32.
    34. 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.
    35. Gabriel Rodríguez-Puello & Ariel Arcos & Benjamin Jara, 2022. "Would you Value a few More Hours of work? Underemployment and Subjective Well-Being Across Chilean Workers," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(2), pages 885-912, April.
    36. Enni Roukamo & Mikolaj Czajkowski & Nick Hanley & A. Juutinen & R. Svento, 2016. "Linking perceived choice complexity with scale heterogeneity in discrete choice experiments: home heating in Finland," Discussion Papers in Environment and Development Economics 2016-16, University of St. Andrews, School of Geography and Sustainable Development.
    37. Diana Romero‐Espinosa & Mauricio Sarrias & Ricardo Daziano, 2021. "Are preferences for city attributes heterogeneous? An assessment using a discrete choice experiment," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 251-272, February.
    38. 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).
    39. Kar Ho Lim & Wuyang Hu, 2023. "Contextual reference price in choice experiments," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1288-1306, August.
    40. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
    41. Lim, Jooyoung & Hahn, Minhi, 2020. "Regulatory focus and decision rules: Are prevention-focused consumers regret minimizers?," Journal of Business Research, Elsevier, vol. 120(C), pages 343-350.
    42. Rob Donnelly & Francisco R. Ruiz & David Blei & Susan Athey, 2019. "Counterfactual Inference for Consumer Choice Across Many Product Categories," Papers 1906.02635, arXiv.org, revised Aug 2023.
    43. Youssef M. Aboutaleb & Mazen Danaf & Yifei Xie & Moshe Ben-Akiva, 2021. "Discrete Choice Analysis with Machine Learning Capabilities," Papers 2101.10261, arXiv.org.
    44. Li, Jinjing & Sologon, Denisa Maria, 2011. "A Continuous Labour Supply Model in Microsimulation: A Life-Cycle Modelling Approach with Heterogeneity and Uncertainty Extension," IZA Discussion Papers 6098, Institute of Labor Economics (IZA).
    45. Narine Yegoryan & Daniel Guhl & Friederike Paetz, 2023. "When Zeros Count: Confounding in Preference Heterogeneity and Attribute Non-attendance," Rationality and Competition Discussion Paper Series 482, CRC TRR 190 Rationality and Competition.
    46. Beeramoole, Prithvi Bhat & Arteaga, Cristian & Pinz, Alban & Haque, Md Mazharul & Paz, Alexander, 2023. "Extensive hypothesis testing for estimation of mixed-Logit models," Journal of choice modelling, Elsevier, vol. 47(C).
    47. 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.
    48. Irani, Alexandra & Chalak, Ali, 2015. "Harnessing motorists’ potential demand for hybrid-electric vehicles in Lebanon: Policy options, CO2 emissions reduction and welfare gains," Transport Policy, Elsevier, vol. 42(C), pages 144-155.
    49. 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.
    50. Sarrias, Mauricio & Daziano, Ricardo A., 2018. "Individual-specific point and interval conditional estimates of latent class logit parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 50-61.
    51. David Boto‐García & Antonio Alvarez & José Baños, 2021. "Modelling heterogeneous preferences for nature‐based tourism trips," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1625-1653, December.
    52. Hess, Stephane & Train, Kenneth, 2017. "Correlation and scale in mixed logit models," Journal of choice modelling, Elsevier, vol. 23(C), pages 1-8.
    53. Nguyen Tien Thong & Hans Stubbe Solgaard & Wolfgang Haider & Eva Roth & Lars Ravn†Jonsen, 2018. "Using labeled choice experiments to analyze demand structure and market position among seafood products," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 163-189, March.
    54. Lu, Hui & Rohr, Charlene & Howarth, David & Pollitt, Alexandra & Grant, Jonathan, 2020. "What sort of Brexit do the British people want? A longitudinal study examining the ‘trade-offs’ people would be willing to make in reaching a Brexit deal," Journal of choice modelling, Elsevier, vol. 37(C).
    55. 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.
    56. Keane, Michael P. & Wasi, Nada, 2016. "How to model consumer heterogeneity? Lessons from three case studies on SP and RP data," Research in Economics, Elsevier, vol. 70(2), pages 197-231.
    57. Friederike Paetz & Winfried J. Steiner, 2017. "The benefits of incorporating utility dependencies in finite mixture probit models," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 793-819, July.
    58. Rico Krueger & Taha H. Rashidi & Akshay Vij, 2019. "Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services," Papers 1907.09639, arXiv.org.
    59. Nguyen, Manh-Hung & Nguyen, Thi Lan Anh & Nguyen, Tuan & Reynaud, Arnaud & Simioni, Michel & Hoang, Viet-Ngu, 2021. "Economic analysis of choices among differing measures to manage coastal erosion in Hoi An (a UNESCO World Heritage Site)," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 529-543.
    60. Sarrias, Mauricio, 2020. "Individual-specific posterior distributions from Mixed Logit models: Properties, limitations and diagnostic checks," Journal of choice modelling, Elsevier, vol. 36(C).
    61. Gutiérrez-Vargas, Álvaro A. & Meulders, Michel & Vandebroek, Martina, 2023. "Modeling preference heterogeneity using model-based decision trees," Journal of choice modelling, Elsevier, vol. 46(C).
    62. Michael P. Keane & Susan Thorp, 2016. "Complex Decision Making: The Roles of Cognitive Limitations, Cognitive Decline and Ageing," Economics Papers 2016-W10, Economics Group, Nuffield College, University of Oxford.
    63. Raza, Syed Asif & Rathinam, Sivakumar, 2017. "A risk tolerance analysis for a joint price differentiation and inventory decisions problem with demand leakage effect," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 129-145.
    64. Bansal, Prateek & Daziano, Ricardo A & Guerra, Erick, 2018. "Minorization-Maximization (MM) algorithms for semiparametric logit models: Bottlenecks, extensions, and comparisons," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 17-40.
    65. Danaf, Mazen & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Logit mixture with inter and intra-consumer heterogeneity and flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 35(C).
    66. Simon Behrendt & Georg Wamser, 2018. "Tax-Response Heterogeneity and the Effects of Double Taxation Treaties on the Location Choices of Multinational Firms," CESifo Working Paper Series 6869, CESifo.
    67. Maria Salvo & Giuseppe Cucuzza & Giovanni Signorello, 2022. "Using discrete choice experiments to explore how bioecological attributes of sites drive birders’ preferences and willingness to travel," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(2), pages 119-146, April.
    68. David Throsby & Anita Zednik & Jorge E. Araña, 2021. "Public preferences for heritage conservation strategies: a choice modelling approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 333-358, September.
    69. Guyt, Jonne & Gijsbrechts, Els, 2018. "On consumer choice patterns and the net impact of feature promotions," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 490-508.
    70. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "A Dirichlet Process Mixture Model of Discrete Choice," Papers 1801.06296, arXiv.org.
    71. Martin Burda & Remi Daviet, 2023. "Hamiltonian sequential Monte Carlo with application to consumer choice behavior," Econometric Reviews, Taylor & Francis Journals, vol. 42(1), pages 54-77, January.
    72. David Boto-García & Petr Mariel & José Baños Pino & Antonio Alvarez, 2022. "Tourists’ willingness to pay for holiday trip characteristics: A Discrete Choice Experiment," Tourism Economics, , vol. 28(2), pages 349-370, March.
    73. 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.
    74. León, Carmelo J. & de León, Javier & Araña, Jorge E. & González, Matías M., 2015. "Tourists' preferences for congestion, residents' welfare and the ecosystems in a national park," Ecological Economics, Elsevier, vol. 118(C), pages 21-29.
    75. Jonathan D. Ketcham & Nicolai V. Kuminoff & Christopher A. Powers, 2016. "Estimating the Heterogeneous Welfare Effects of Choice Architecture: An Application to the Medicare Prescription Drug Insurance Market," NBER Working Papers 22732, National Bureau of Economic Research, Inc.
    76. 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.
    77. Danley, Brian & Sandorf, Erlend Dancke & Campbell, Danny, 2021. "Putting your best fish forward: Investigating distance decay and relative preferences for fish conservation," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    78. Michael P. Keane & Nada Wasi, 2013. "The Structure of Consumer Taste Heterogeneity in Revealed vs. Stated Preference Data," Economics Papers 2013-W10, Economics Group, Nuffield College, University of Oxford.
    79. 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.
    80. Paul Hindsley & Craig E. Landry & Kurt Schnier & John C. Whitehead & Mohammadreza Zarei, 2021. "Joint Estimation of Revealed Preference Site Selection and Stated Preference Choice Experiment Recreation Data Considering Attribute NonAttendance," Working Papers 21-10, Department of Economics, Appalachian State University.
    81. 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.
    82. Jia, Wenjian & Chen, T. Donna, 2023. "Investigating heterogeneous preferences for plug-in electric vehicles: Policy implications from different choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    83. Sinclair, Michael & Vishnu Sagar, M.K. & Knudsen, Camilla & Sabu, Joseph & Ghermandi, Andrea, 2021. "Economic appraisal of ecosystem services and restoration scenarios in a tropical coastal Ramsar wetland in India," Ecosystem Services, Elsevier, vol. 47(C).
    84. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.
    85. Jonathan James, 2018. "Estimation of Factor Structured Covariance Mixed Logit Models," Working Papers 1802, California Polytechnic State University, Department of Economics.
    86. S. Van Cranenburgh & S. Wang & A. Vij & F. Pereira & J. Walker, 2021. "Choice modelling in the age of machine learning -- discussion paper," Papers 2101.11948, arXiv.org, revised Nov 2021.
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    2. Julie Vinck & Idunn Brekke, 2019. "Gender and education inequalities in parental employment when having a young child with increased care needs: Belgium and Norway compared," Working Papers 1904, Herman Deleeck Centre for Social Policy, University of Antwerp.
    3. William Baah-Boateng & Kingsley Laar & Edward Nketiah-Amponsah, 2021. "Child health and maternal labour market engagement in Ghana," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 23(2), pages 283-301, December.
    4. Lafférs, Lukáš & Schmidpeter, Bernhard, 2020. "Early Child Development and Parents' Labor Supply," IZA Discussion Papers 13531, Institute of Labor Economics (IZA).
    5. Julie Vinck & Wim Van Lancker, 2020. "An Intersectional Approach towards Parental Employment in Families with a Child with a Disability: The Case of Belgium," Work, Employment & Society, British Sociological Association, vol. 34(2), pages 228-261, April.
    6. Costanzo, Molly A. & Magnuson, Katherine, 2019. "How does disability influence child care arrangements for young children? An examination using the NHES ECPP," Children and Youth Services Review, Elsevier, vol. 99(C), pages 210-225.
    7. Diego Amador & Mónica Pinilla-Roncancio, 2017. "The Effect of Child Disability on Parents' Labour Supply: Evidence from Colombia," Documentos CEDE 15467, Universidad de los Andes, Facultad de Economía, CEDE.
    8. Mahmud, Mir, 2016. "Child Disability, Children’s Time with Mother and Maternal Employment," MPRA Paper 72816, University Library of Munich, Germany.
    9. Kvist, Anette Primdal & Nielsen, Helena Skyt & Simonsen, Marianne, 2013. "The importance of children's ADHD for parents' relationship stability and labor supply," Social Science & Medicine, Elsevier, vol. 88(C), pages 30-38.
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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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    8. Mikolaj Czajkowski & Nick Hanley & Jacob LaRiviere, 2014. "Controlling for the effects of information in a public goods discrete choice model," Discussion Papers in Environment and Development Economics 2014-04, University of St. Andrews, School of Geography and Sustainable Development.
    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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    13. Stephane Hess, 2014. "Latent class structures: taste heterogeneity and beyond," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 14, pages 311-330, Edward Elgar Publishing.
    14. Owusu, Rebecca & Dadzie, Samuel Kwesi Ndzebah, 2021. "Heterogeneity in consumer preferences for organic and genetically modified food products in Ghana," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 16(2), June.
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    16. Pierre-Alexandre Mahieu & Henrik Andersson & Olivier Beaumais & Romain Crastes dit Sourd & Stephane Hess & François-Charles Wolf, 2017. "Stated preferences: a unique database composed of 1657recent published articles in journals relatedto agriculture, environment, or health," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 98(3), pages 201-220.
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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.
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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.
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    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.
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    77. Fecke, Wilm & Danne, Michael & Mußhoff, Oliver, 2018. "E-commerce in agriculture: The case of crop protection product purchases in a discrete choice experiment," DARE Discussion Papers 1803, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
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    94. Kunwar, Samrat B. & Bohara, Alok K. & Thacher, Jennifer, 2020. "Public preference for river restoration in the Danda Basin, Nepal: A choice experiment study," Ecological Economics, Elsevier, vol. 175(C).
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  9. Richard T. Carson & Jordan J. Louviere & Nada Wasi, 2009. "A Cautionary Note on Designing Discrete Choice Experiments: A Comment on Lusk and Norwood’s “Effect of Experiment Design on Choice-Based Conjoint Valuation Estimates”," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1056-1063.

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    2. Dalia Štreimikienė & Vidas Lekavičius & Gintare Stankūnienė & Aušra Pažėraitė, 2022. "Renewable Energy Acceptance by Households: Evidence from Lithuania," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    3. Mamine, Fateh & Fares, M'hand & Minviel, Jean Joseph, 2020. "Contract Design for Adoption of Agrienvironmental Practices: A Meta-analysis of Discrete Choice Experiments," Ecological Economics, Elsevier, vol. 176(C).

  10. Jordan J. Louviere & Towhidul Islam & Nada Wasi & Deborah Street & Leonie Burgess, 2008. "Designing Discrete Choice Experiments: Do Optimal Designs Come at a Price?," Journal of Consumer Research, Oxford University Press, vol. 35(2), pages 360-375, March.

    Cited by:

    1. Peter Boxall & W. L. (Vic) Adamowicz & Amanda Moon, 2009. "Complexity in choice experiments: choice of the status quo alternative and implications for welfare measurement ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 503-519, October.
    2. Lijia Shi & Jing Xie & Zhifeng Gao, 2018. "The impact of deal†proneness on WTP estimates in incentive†aligned value elicitation methods," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 353-362, May.
    3. Marcel F. Jonker & Arthur E. Attema & Bas Donkers & Elly A. Stolk & Matthijs M. Versteegh, 2017. "Are Health State Valuations from the General Public Biased? A Test of Health State Reference Dependency Using Self‐assessed Health and an Efficient Discrete Choice Experiment," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1534-1547, December.
    4. Ndebele, Tom & Marsh, Dan & Scarpa, Riccardo, 2019. "Consumer switching in retail electricity markets: Is price all that matters?," Energy Economics, Elsevier, vol. 83(C), pages 88-103.
    5. David L. Ortega & H. Holly Wang & Nicole J. Olynk Widmar, 2014. "Aquaculture imports from Asia: an analysis of U.S. consumer demand for select food quality attributes," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 625-634, September.
    6. Jürgen Meyerhoff & Malte Oehlmann & Priska Weller, 2015. "The Influence of Design Dimensions on Stated Choices in an Environmental Context," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(3), pages 385-407, July.
    7. Glynn T. Tonsor & Ted C. Schroeder & Joost M. E. Pennings, 2009. "Factors Impacting Food Safety Risk Perceptions," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(3), pages 625-644, September.
    8. Tadesse, Tewodros & Berhane, Tsegay & Mulatu, Dawit W. & Rannestad, Meley Mekonen, 2021. "Willingness to accept compensation for afromontane forest ecosystems conservation," Land Use Policy, Elsevier, vol. 105(C).
    9. Regier, Dean A. & Watson, Verity & Burnett, Heather & Ungar, Wendy J., 2014. "Task complexity and response certainty in discrete choice experiments: An application to drug treatments for juvenile idiopathic arthritis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 50(C), pages 40-49.
    10. 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).
    11. Yang, Jui-Chen & Johnson, F. Reed & Kilambi, Vikram & Mohamed, Ateesha F., 2015. "Sample size and utility-difference precision in discrete-choice experiments: A meta-simulation approach," Journal of choice modelling, Elsevier, vol. 16(C), pages 50-57.
    12. Esther W. Bekker-Grob & Bas Donkers & Jorien Veldwijk & Marcel F. Jonker & Sylvia Buis & Jan Huisman & Patrick Bindels, 2021. "What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(2), pages 269-281, March.
    13. 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.
    14. Maya Durvasula & Stephen W. Pan & Jason J. Ong & Weiming Tang & Bolin Cao & Chuncheng Liu & Fern Terris-Prestholt & Joseph D. Tucker, 2019. "Enhancing Public Health Messaging: Discrete-Choice Experiment Evidence on the Design of HIV Testing Messages in China," Medical Decision Making, , vol. 39(5), pages 568-582, July.
    15. Pires Gonçalves, Ricardo, 2008. "Consumer Behavior: Product Characteristics and Quality Perception," MPRA Paper 11142, University Library of Munich, Germany.
    16. McKendree, Melissa G.S. & Ortega, David L. & Widmar, Nicole Olynk & Wang, H. Holly, 2013. "Consumer Perceptions of Seafood Industries in the Wake of the Deepwater Horizon Oil Spill and Fukushima Daiichi Nuclear Disaster," Staff Paper Series 155582, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    17. Axel Christian Mühlbacher & Anika Kaczynski, 2021. "The Impact of Gastrointestinal Symptoms on Patients’ Well-Being: Best–Worst Scaling (BWS) to Prioritize Symptoms of the Gastrointestinal Symptom Score (GIS)," IJERPH, MDPI, vol. 18(21), pages 1-13, November.
    18. Hasan-Basri, Bakti & Yahya, Nurul & Musa, Rusmani, 2013. "Status Quo Effect and Preferences Uncertainty: A Heteroscedastic Extreme Value (HEV) Model," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 47(1), pages 163-172.
    19. Ailawadi, Kusum L. & Gedenk, Karen & Langer, Tobias & Ma, Yu & Neslin, Scott A., 2014. "Consumer response to uncertain promotions: An empirical analysis of conditional rebates," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 94-106.
    20. Richard Yao & Riccardo Scarpa & John Rose & James Turner, 2015. "Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 433-455, November.
    21. Stéphane Luchini & Verity Watson, 2014. "Are choice experiments reliable? Evidence from the lab," Post-Print hal-01463113, HAL.
    22. Joseph Cooper & Daniel Hellerstein, 2009. "Do Government Economists Value AAEA Conferences?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(4), pages 914-930, December.
    23. Mulatu, Dawit W. & van der Veen, Anne & van Oel, Pieter R., 2014. "Farm households' preferences for collective and individual actions to improve water-related ecosystem services: The Lake Naivasha basin, Kenya," Ecosystem Services, Elsevier, vol. 7(C), pages 22-33.
    24. Richard Norman & Benjamin M. Craig & Paul Hansen & Marcel F. Jonker & John Rose & Deborah J. Street & Brendan Mulhern, 2019. "Issues in the Design of Discrete Choice Experiments," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 12(3), pages 281-285, June.
    25. Stephane Hess & John Rose, 2012. "Can scale and coefficient heterogeneity be separated in random coefficients models?," Transportation, Springer, vol. 39(6), pages 1225-1239, November.
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    27. Nicolas Krucien & Nathalie Pelletier-Fleury & Amiram Gafni, 2019. "Measuring Public Preferences for Health Outcomes and Expenditures in a Context of Healthcare Resource Re-Allocation," PharmacoEconomics, Springer, vol. 37(3), pages 407-417, March.
    28. Keith Finlay & Charles Stoecker & Scott Cunningham, 2015. "Willingness-To-Accept Pharmaceutical Retail Inconvenience: Evidence from a Contingent Choice Experiment," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-10, May.
    29. Jara-Diaz, Sergio & Monzon, Andres & Cascajo, Rocio & Garcia-Martinez, Andres, 2022. "An international time equivalency of the pure transfer penalty in urban transit trips: Closing the gap," Transport Policy, Elsevier, vol. 125(C), pages 48-55.
    30. Gökçe Esenduran & James A. Hill & In Joon Noh, 2020. "Understanding the Choice of Online Resale Channel for Used Electronics," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1188-1211, May.
    31. Tonsor, Glynn T., 2010. "Consumer Food Safety Perceptions: Do they Differ across Products, Species, and Specific Risks?," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61044, Agricultural and Applied Economics Association.
    32. Mandy Ryan & Karen Gerard & Gillian Currie, 2012. "Using Discrete Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    33. Danne, Michael & Mußhoff, Oliver & Schulte, Michael, 2018. "Analysing the importance of glyphosate as part of agricultural srategies: A discrete choice experiment," DARE Discussion Papers 1802, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    34. Bliemer, Michiel C.J. & Collins, Andrew T., 2016. "On determining priors for the generation of efficient stated choice experimental designs," Journal of choice modelling, Elsevier, vol. 21(C), pages 10-14.
    35. Ndebele, Tom & Marsh, Dan, 2014. "Environmental attitude and the demand for green electricity in the context of supplier choice: A case study of the New Zealand retail electricity market," 2014 Conference, August 28-29, 2014, Nelson, New Zealand 188376, New Zealand Agricultural and Resource Economics Society.
    36. Khachatryan, Hayk & Joireman, Jeff & Casavant, Kenneth L., 2013. "The Effects of Intertemporal Considerations on Consumer Preferences for Biofuels," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150334, Agricultural and Applied Economics Association.
    37. Meise, Jan Niklas & Rudolph, Thomas & Kenning, Peter & Phillips, Diane M., 2014. "Feed them facts: Value perceptions and consumer use of sustainability-related product information," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 510-519.
    38. Marcel F. Jonker & Bas Donkers & Esther de Bekker‐Grob & Elly A. Stolk, 2019. "Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 350-363, March.
    39. Que, Sisi & Awuah-Offei, Kwame & Weidner, Nathan & Wang, Yumin, 2017. "Discrete choice experiment validation: A resource project case study," Journal of choice modelling, Elsevier, vol. 22(C), pages 39-50.
    40. Tonsor, Glynn T. & Wolf, Christopher & Olynk, Nicole, 2009. "Consumer voting and demand behavior regarding swine gestation crates," Food Policy, Elsevier, vol. 34(6), pages 492-498, December.
    41. H. Holly Wang & Yu Jiang & Shaosheng Jin & Qiujie Zheng, 2022. "New online market connecting Chinese consumers and small farms to improve food safety and environment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(4), pages 305-324, December.
    42. 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.
    43. Wiktor L. Adamowicz & Klaus Glenk & Jürgen Meyerhoff, 2014. "Choice modelling research in environmental and resource economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 27, pages 661-674, Edward Elgar Publishing.
    44. Keane, Michael P. & Wasi, Nada, 2016. "How to model consumer heterogeneity? Lessons from three case studies on SP and RP data," Research in Economics, Elsevier, vol. 70(2), pages 197-231.
    45. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    46. Araña, Jorge E. & León, Carmelo J., 2013. "Dynamic hypothetical bias in discrete choice experiments: Evidence from measuring the impact of corporate social responsibility on consumers demand," Ecological Economics, Elsevier, vol. 87(C), pages 53-61.
    47. Gensler, Sonja & Hinz, Oliver & Skiera, Bernd & Theysohn, Sven, 2012. "Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs," European Journal of Operational Research, Elsevier, vol. 219(2), pages 368-378.
    48. van Cranenburgh, Sander & Collins, Andrew T., 2019. "New software tools for creating stated choice experimental designs efficient for regret minimisation and utility maximisation decision rules," Journal of choice modelling, Elsevier, vol. 31(C), pages 104-123.
    49. 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.
    50. Elizabeth Kinter & Thomas Prior & Christopher Carswell & John Bridges, 2012. "A Comparison of Two Experimental Design Approaches in Applying Conjoint Analysis in Patient-Centered Outcomes Research," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 5(4), pages 279-294, December.
    51. 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.
    52. Xinxin Lv & Mingxue Zhang & Dongqing Li, 2022. "Eliciting Herders’ Willingness to Accept Grassland Conservation: A Choice Experiment Design in Pastoral Regions of China," Land, MDPI, vol. 11(9), pages 1-16, September.
    53. Tinessa, Fiore, 2021. "Closed-form random utility models with mixture distributions of random utilities: Exploring finite mixtures of qGEV models," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 262-288.
    54. Olynk Widmar, Nicole J. & Ortega, David L., 2014. "Comparing Consumer Preferences for Livestock Production Process Attributes Across Products, Species, and Modeling Methods," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(3), pages 1-17, August.
    55. Tonsor, Glynn T. & Wolf, Christopher A., 2011. "On mandatory labeling of animal welfare attributes," Food Policy, Elsevier, vol. 36(3), pages 430-437, June.
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    57. David Boto-García & Petr Mariel & José Baños Pino & Antonio Alvarez, 2022. "Tourists’ willingness to pay for holiday trip characteristics: A Discrete Choice Experiment," Tourism Economics, , vol. 28(2), pages 349-370, March.
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    85. Fecke, Wilm & Danne, Michael & Mußhoff, Oliver, 2018. "Online-Einkauf von Pflanzenschutzmitteln: Ein Discrete Choice Experiment mit landwirtschaftlichen Unternehmern in Deutschland," DARE Discussion Papers 1811, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    86. Bremer, Lucas & Heitmann, Mark & Schreiner, Thomas F., 2017. "When and how to infer heuristic consideration set rules of consumers," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 516-535.

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