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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. 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).
    2. 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).
    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. Denis Charles & Magali Dumontet & Meglena Jeleva & Johanna Etner, 2024. "Behavioral drivers of individuals’ Term Life Insurance Demand: evidence from a Discrete Choice Experiment," EconomiX Working Papers 2024-23, University of Paris Nanterre, EconomiX.
    7. 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).
    8. 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. 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).
    2. 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.
    3. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2024. "Who Suffers the Most During the COVID‐19 Pandemic? Evidence From Thailand," The Developing Economies, Institute of Developing Economies, vol. 62(3), pages 238-268, September.
    4. 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.
    5. Aditya Goenka & Lin Liu & Manh-Hung Nguyen, 2021. "Modeling optimal quarantines with waning immunity," Discussion Papers 21-10, Department of Economics, University of Birmingham.
    6. Adams-Prassl, Abi & 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).
    7. Suphanit Piyapromdee & Peter Spittal, 2020. "The Income and Consumption Effects of Covid-19 and the Role of Public Policy," PIER Discussion Papers 141, Puey Ungphakorn Institute for Economic Research.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. Goenka, Aditya & Liu, Lin & Nguyen, Manh-Hung, 2020. "Modeling optimal quarantines under infectious disease related mortality," TSE Working Papers 20-1136, Toulouse School of Economics (TSE).
    13. 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.
    14. 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.
    15. 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.
    16. Egor Malkov, 2021. "Spousal Occupational Sorting and COVID-19 Incidence: Evidence from the United States," Papers 2107.14350, arXiv.org, revised Sep 2021.

  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. Muthitacharoen, Athiphat & Burong, Trongwut, 2023. "Climbing the economic ladder: Earnings inequality and intragenerational mobility among Thai formal workers," Journal of Asian Economics, Elsevier, vol. 89(C).
    2. 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.
    3. 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. 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.

  8. 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. 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.
    2. 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.
    3. 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.
    4. Muthitacharoen, Athiphat & Burong, Trongwut, 2023. "Climbing the economic ladder: Earnings inequality and intragenerational mobility among Thai formal workers," Journal of Asian Economics, Elsevier, vol. 89(C).

  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. 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.
    2. Svetlana Pashchenko & Ponpoje Porapakkarm, 2023. "Accounting for Social Security claiming behavior," GRIPS Discussion Papers 23-05, National Graduate Institute for Policy Studies.
    3. Roman Horvath & Ali Elminejad & Tomas Havranek, 2020. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," Working Papers IES 2020/32, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    4. 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.
    5. Keane, Michael P., 2022. "Recent research on labor supply: Implications for tax and transfer policy," Labour Economics, Elsevier, vol. 77(C).
    6. 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.
    7. 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).
    8. 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.
    9. Johan Gustafsson, 2021. "Age-Targeted Income Taxation, Labor Supply, and Retirement," CESifo Working Paper Series 8988, CESifo.
    10. 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).
    11. Thierry Magnac, 2024. "Human capital and search models: a happy match [Capital humain et recherche d'emploi: un mariage heureux]," Post-Print hal-04555926, HAL.
    12. Gałecka-Burdziak, Ewa & Gora, Marek & Jessen, Jonas & Jessen, Robin & Kluve, Jochen, 2022. "The Effects of Shortening Potential Benefit Duration: Evidence from Regional Cut-offs and a Policy Reform," VfS Annual Conference 2022 (Basel): Big Data in Economics 264046, Verein für Socialpolitik / German Economic Association.
    13. 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.
    14. 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.
    15. 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).
    16. Yuanyuan Deng & Hanming Fang & Katja Hanewald & Shang Wu, 2021. "Delay the Pension Age or Adjust the Pension Benefit? Implications for Labor Supply and Individual Welfare in China," NBER Working Papers 28897, National Bureau of Economic Research, Inc.
    17. 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.
    18. Mario Alloza, 2016. "The Impact of Taxes on Income Mobility," Discussion Papers 1632, Centre for Macroeconomics (CFM).
    19. 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.
    20. Katrine Jakobsen & Thomas H Jørgensen & Hamish Low, 2022. "Fertility and Family Labor Supply," Economics Series Working Papers 965, University of Oxford, Department of Economics.
    21. 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.
    22. Gustafsson, Johan, 2021. "Age-Targeted Income Taxation, Labor Supply, and Retirement," Umeå Economic Studies 985, Umeå University, Department of Economics, revised 01 Mar 2021.
    23. 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.
    24. 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.
    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. Yu, Zhixiu, 2024. "Why are older men working more? The role of social security," Journal of Public Economics, Elsevier, vol. 231(C).
    27. Hirte, Georg & Tscharaktschiew, Stefan, 2020. "The role of labor-supply margins in shaping optimal transport taxes," Economics of Transportation, Elsevier, vol. 22(C).
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. Poonpolkul, Phitawat, 2023. "Age-dependent risk aversion: Re-evaluating fiscal policy impacts of population aging," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).

  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. Neumann, Nico & Böckenholt, Ulf, 2014. "A Meta-analysis of Loss Aversion in Product Choice," Journal of Retailing, Elsevier, vol. 90(2), pages 182-197.
    2. 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.
    3. Rolf Aaberge & Ugo Colombino, 2014. "Labour Supply Models," Contributions to Economic Analysis, in: Handbook of Microsimulation Modelling, volume 127, pages 167-221, Emerald Group Publishing Limited.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Jonathan James, 2018. "Estimation of Factor Structured Covariance Mixed Logit Models," Working Papers 1802, California Polytechnic State University, Department of Economics.
    10. James, Jonathan, 2018. "Estimation of factor structured covariance mixed logit models," Journal of choice modelling, Elsevier, vol. 28(C), pages 41-55.
    11. 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).

  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. 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.
    4. 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.
    5. 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.
    6. Sukhgeet Kaur & Michael G. Pollitt, 2024. "Farmers' preferences for incentives on solar pumps: evidence from a choice experiment in Punjab," Working Papers EPRG2408, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    7. 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.
    8. 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.
    9. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. Anke Jacksohn & Peter Grösche & Katrin Rehdanz & Carsten Schröder, 2018. "Drivers of Renewable Technology Adoption in the Household Sector," SOEPpapers on Multidisciplinary Panel Data Research 977, DIW Berlin, The German Socio-Economic Panel (SOEP).
    18. Hanemann, Michael & Labandeira, Xavier & Labeaga, José M. & Vásquez-Lavín, Felipe, 2024. "Discrete-continuous models of residential energy demand: A comprehensive review," Resource and Energy Economics, Elsevier, vol. 77(C).
    19. 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.

  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. Shan, Hui, 2010. "Property taxes and elderly mobility," Journal of Urban Economics, Elsevier, vol. 67(2), pages 194-205, March.
    4. 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.
    5. Patrick Kline & Enrico Moretti, 2014. "People, Places, and Public Policy: Some Simple Welfare Economics of Local Economic Development Programs," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 629-662, August.
    6. Lei Ding & Jackelyn Hwang, 2020. "Effects of Gentrification on Homeowners: Evidence from a Natural Experiment," Working Papers 20-16, Federal Reserve Bank of Philadelphia.
    7. 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.
    8. Fernando Ferreira & Joseph Gyourko & Joseph Tracy, 2008. "Housing Busts and Household Mobility," NBER Working Papers 14310, National Bureau of Economic Research, Inc.
    9. 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.
    10. 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.
    11. Bradley, Sebastien, 2018. "Assessment limits and timing of real estate transactions," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 360-372.
    12. Fernando Ferreira & Joseph Gyourko & Joseph Tracy, 2012. "Housing busts and household mobility: an update," Economic Policy Review, Federal Reserve Bank of New York, vol. 18(Nov), pages 1-15.
    13. 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.
    14. 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).
    15. Ayse Imrohoroglu, 2014. "Proposition 13: An Equilibrium Analysis," 2014 Meeting Papers 1250, Society for Economic Dynamics.
    16. 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.
    17. 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.
    18. 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.
    19. Chris Cunningham & Robert R. Reed, 2012. "Housing wealth and wage bargaining," FRB Atlanta Working Paper 2012-20, Federal Reserve Bank of Atlanta.
    20. 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.
    21. 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.
    22. Ding, Lei & Hwang, Jackelyn, 2020. "Effects of gentrification on homeowners: Evidence from a natural experiment," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    23. 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.
    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. Guan, Zhimin & Mou, Yuxia & Zhang, Jun, 2024. "Incorporating risk aversion and time preference into omnichannel retail operations considering assortment and inventory optimization," European Journal of Operational Research, Elsevier, vol. 314(2), pages 579-596.
    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. Etro, Federico, 2016. "Research in economics and industrial organization," Research in Economics, Elsevier, vol. 70(4), pages 511-517.
    4. 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.
    5. 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.
    6. 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.
    7. 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. Emmanuel Chavez, 2020. "The Effects of Public R&D Subsidies on Private R&D Activities in Mexico," PSE Working Papers halshs-02355106, HAL.
    3. 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.
    4. Fariha Kamal & Ryan Monarch, 2015. "Identifying Foreign Suppliers in U.S. Import Data," International Finance Discussion Papers 1142, Board of Governors of the Federal Reserve System (U.S.).
    5. Sascha O. Becker & Francisco J. Pino & Jordi Vidal-Robert, 2021. "Freedom of the Press? Catholic Censorship during the Counter-Reformation," Working Papers wp516, University of Chile, Department of Economics.
    6. 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.
    7. Mahajan, Parag & Morales, Nicolas & Shih, Kevin Y. & Chen, Mingyu & Brinatti, Agostina, 2024. "The Impact of Immigration on Firms and Workers: Insights from the H-1B Lottery," IZA Discussion Papers 16917, Institute of Labor Economics (IZA).
    8. Davis, Yehuda & Govindaraj, Suresh & Suslava, Kate, 2024. "Does the stock market anticipate events and supreme court decisions in corporate cases?," Global Finance Journal, Elsevier, vol. 60(C).
    9. 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.
    10. 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.
    11. 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.
    12. Bryan A. Stuart, 2017. "The Long-Run Effects of Recessions on Education and Income," Working Papers 17-52, Center for Economic Studies, U.S. Census Bureau.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. Rhys Bidder & John Krainer & Adam Shapiro, 2021. "De-leveraging or de-risking? How banks cope with loss," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 100-127, January.
    18. 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).
    19. 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.
    20. Wenhua Di & Nathaniel Pattison, 2020. "Distant Lending, Specialization, and Access to Credit," Working Papers 2003, Federal Reserve Bank of Dallas.
    21. 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.
    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.
    25. 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).

  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. 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.
    2. 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.
    3. Kragt, Marit Ellen, 2013. "Comparing models of unobserved heterogeneity in environmental choice experiments," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152198, Australian Agricultural and Resource Economics Society.
    4. Hess, Stephane & Train, Kenneth, 2017. "Correlation and scale in mixed logit models," Journal of choice modelling, Elsevier, vol. 23(C), pages 1-8.
    5. 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.
    6. 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.
    7. 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.
    8. Zhang, Wendong & Sohngen, Brent, 2018. "Do U.S. Anglers Care about Harmful Algal Blooms? A Discrete Choice Experiment of Lake Erie Recreational Anglers," ISU General Staff Papers 201803180700001593, Iowa State University, Department of Economics.
    9. 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).
    10. Jinjing Li & Denisa Maria Sologon, 2014. "A Continuous Labour Supply Model in Microsimulation: A Life-Cycle Modelling Approach with Heterogeneity and Uncertainty Extension," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-15, November.
    11. 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).
    12. 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.
    13. León, Carmelo J. & González Hernández, Matías M. & Lam-González, Yen, 2023. "COVID-19 effects on travel choices under climate risks," Annals of Tourism Research, Elsevier, vol. 103(C).
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. John C. Whitehead & Daniel K. Lew, 2020. "Estimating recreation benefits through joint estimation of revealed and stated preference discrete choice data," Empirical Economics, Springer, vol. 58(4), pages 2009-2029, April.
    26. Sarrias, Mauricio, 2020. "Individual-specific posterior distributions from Mixed Logit models: Properties, limitations and diagnostic checks," Journal of choice modelling, Elsevier, vol. 36(C).
    27. 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).
    28. 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).
    29. Kettlewell, Nathan & Walker, Matthew J. & Yoo, Hong Il, 2024. "Alternative Models of Preference Heterogeneity for Elicited Choice Probabilities," IZA Discussion Papers 16821, Institute of Labor Economics (IZA).
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    37. 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).
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. Dekker, Thijs, 2016. "Asymmetric triangular mixing densities for mixed logit models," Journal of choice modelling, Elsevier, vol. 21(C), pages 48-55.
    43. 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.
    44. 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.
    45. 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.
    46. Youssef M Aboutaleb & Mazen Danaf & Yifei Xie & Moshe Ben-Akiva, 2020. "Sparse Covariance Estimation in Logit Mixture Models," Papers 2001.05034, arXiv.org.
    47. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "A Dirichlet Process Mixture Model of Discrete Choice," Papers 1801.06296, arXiv.org.
    48. 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.
    49. Cui, Shuang & Tian, Lijun & Xu, Yan & Wang, Yacan, 2024. "Measuring acceptance of tradable credit scheme and its effect on behavioral intention through theory of planned behavior," Transport Policy, Elsevier, vol. 150(C), pages 174-188.
    50. 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.
    51. 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.
    52. 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.
    53. 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.
    54. 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).
    55. 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.
    56. Michael P. Keane, 2013. "Panel data discrete choice models of consumer demand," Economics Papers 2013-W08, Economics Group, Nuffield College, University of Oxford.
    57. 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.
    58. 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.
    59. 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.
    60. 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.
    61. Robert Donnelly & Francisco J.R. Ruiz & David Blei & Susan Athey, 2021. "Counterfactual inference for consumer choice across many product categories," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 369-407, December.
    62. 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.
    63. 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.
    64. 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.
    65. 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.
    66. 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.
    67. 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).
    68. 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.
    69. 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.
    70. 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).
    71. 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.
    72. 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.
    73. 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.
    74. 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.
    75. 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.
    76. 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.
    77. 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).
    78. 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).
    79. 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.
    80. 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.
    81. Jonathan James, 2018. "Estimation of Factor Structured Covariance Mixed Logit Models," Working Papers 1802, California Polytechnic State University, Department of Economics.
    82. 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.
    83. Sfeir, Georges & Abou-Zeid, Maya & Rodrigues, Filipe & Pereira, Francisco Camara & Kaysi, Isam, 2021. "Latent class choice model with a flexible class membership component: A mixture model approach," Journal of choice modelling, Elsevier, vol. 41(C).
    84. Youssef M. Aboutaleb & Mazen Danaf & Yifei Xie & Moshe Ben-Akiva, 2021. "Discrete Choice Analysis with Machine Learning Capabilities," Papers 2101.10261, arXiv.org.
    85. Hanemann, Michael & Labandeira, Xavier & Labeaga, José M. & Vásquez-Lavín, Felipe, 2024. "Discrete-continuous models of residential energy demand: A comprehensive review," Resource and Energy Economics, Elsevier, vol. 77(C).
    86. James, Jonathan, 2018. "Estimation of factor structured covariance mixed logit models," Journal of choice modelling, Elsevier, vol. 28(C), pages 41-55.
    87. 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.
    88. 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.
    89. Nathan Kettlewell, 2016. "Policy Choice and Product Bundling in a Complicated Health Insurance Market: Do People get it Right?," Discussion Papers 2016-16, School of Economics, The University of New South Wales.
    90. 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.
    91. 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).
    92. 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.
    93. 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.
    94. 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.

  7. Wasi, Nada & den Berg, Bernard van & Buchmueller, Thomas C., 2012. "Heterogeneous effects of child disability on maternal labor supply: Evidence from the 2000 US Census," Labour Economics, Elsevier, vol. 19(1), pages 139-154.

    Cited by:

    1. 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.
    2. Tine L. Mundbjerg Eriksen & Amanda Gaulke & Niels Skipper & Jannet Svensson, 2020. "The Impact of Childhood Health Shocks on Parental Labor Supply," Economics Working Papers 2020-02, Department of Economics and Business Economics, Aarhus University.
    3. 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.
    4. 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.
    5. Mahmud, Mir, 2016. "Child Disability, Children’s Time with Mother and Maternal Employment," MPRA Paper 72816, University Library of Munich, Germany.
    6. Lafférs, Lukáš & Schmidpeter, Bernhard, 2020. "Early Child Development and Parents' Labor Supply," IZA Discussion Papers 13531, Institute of Labor Economics (IZA).
    7. Costanzo, Molly A. & Magnuson, Katherine, 2024. "Child care access for families raising children with disabilities," Children and Youth Services Review, Elsevier, vol. 156(C).
    8. 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.
    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.
    10. 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.
    11. Anna Zhu, 2016. "Maternal Employment Trajectories and Caring for an Infant or Toddler with a Disability," Melbourne Institute Working Paper Series wp2016n06, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

  8. 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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    1. 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).
    2. 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.
    3. Torres, Cati & Hanley, Nick & Riera, Antoni, 2011. "How wrong can you be? Implications of incorrect utility function specification for welfare measurement in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 62(1), pages 111-121, July.
    4. Kragt, Marit Ellen, 2013. "Comparing models of unobserved heterogeneity in environmental choice experiments," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152198, Australian Agricultural and Resource Economics Society.
    5. Kimberly Jensen & Christopher Clark & Burton English & Dustin Toliver, 2012. "Effects of Demographics and Attitudes on Willingness-to-Pay for Fuel Import Reductions through Ethanol Purchases," Agriculture, MDPI, vol. 2(3), pages 1-17, July.
    6. 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.
    7. Fifer, Simon & Rose, John & Greaves, Stephen, 2014. "Hypothetical bias in Stated Choice Experiments: Is it a problem? And if so, how do we deal with it?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 164-177.
    8. Daziano, Ricardo A., 2020. "Flexible customer willingness to pay for bundled smart home energy products and services," Resource and Energy Economics, Elsevier, vol. 61(C).
    9. 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.
    10. Bouscasse, H. & Joly, I. & Peyhardi, J., 2016. "Estimating travel mode choice, including rail in regional area, based on a new family of regression models," Working Papers 2016-04, Grenoble Applied Economics Laboratory (GAEL).
    11. 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.
    12. Ulf Liebe & Jürgen Meyerhoff & Volkmar Hartje, 2012. "Test–Retest Reliability of Choice Experiments in Environmental Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(3), pages 389-407, November.
    13. Potoglou, Dimitris & Burge, Peter & Flynn, Terry & Netten, Ann & Malley, Juliette & Forder, Julien & Brazier, John E., 2011. "Best-worst scaling vs. discrete choice experiments: An empirical comparison using social care data," Social Science & Medicine, Elsevier, vol. 72(10), pages 1717-1727, May.
    14. Tobias Börger, 2016. "Are Fast Responses More Random? Testing the Effect of Response Time on Scale in an Online Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(2), pages 389-413, October.
    15. 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.
    16. Sandorf, Erlend Dancke & Aanesen, Margrethe & Navrud, Ståle, 2016. "Valuing unfamiliar and complex environmental goods: A comparison of valuation workshops and internet panel surveys with videos," Ecological Economics, Elsevier, vol. 129(C), pages 50-61.
    17. Douadia Bougherara & Margaux Lapierre & Raphaële Préget & Alexandre Sauquet, 2021. "Do farmers prefer increasing, decreasing, or stable payments in Agri-Environmental Schemes?," Post-Print hal-03103886, HAL.
    18. Galassi, Veronica & Madlener, Reinhard, 2016. "Shall I Open the Window? An Experiment on Effort and Habits in Thermal-Comfort Adjustment Practices," FCN Working Papers 19/2016, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    19. Baba, Yasmina & Kallas, Zein & Gil, Jose M. & Realini, Carolina, 2015. "Impact of hedonic evaluation on consumers’ preferences for beef enriched with Omega 3: A Generalized Multinomial Logit Model approach," 2015 Conference, August 9-14, 2015, Milan, Italy 211191, International Association of Agricultural Economists.
    20. Bansback, Nick & Brazier, John & Tsuchiya, Aki & Anis, Aslam, 2012. "Using a discrete choice experiment to estimate health state utility values," Journal of Health Economics, Elsevier, vol. 31(1), pages 306-318.
    21. Wang, Jian & Iversen, Tor & Hennig-Schmidt, Heike & Godager, Geir, 2019. "Are patient-regarding preferences stable? Evidence from a laboratory experiment with physicians and medical students from different countries," HERO Online Working Paper Series 2019:1, University of Oslo, Health Economics Research Programme.
    22. 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.
    23. Mike Fitzpatrick & Christos D. Maravelias & Ole Ritzau Eigaard & Stephen Hynes & David Reid, 2014. "Modelling FIshers' preferences for alternative management options under the Common Fisheries Policy," Working Papers 262565, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    24. 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.
    25. Riise, Julie & Hole, Arne Risa & Gyrd-Hansen, Dorte & Skåtun, Diane, 2016. "GPs' implicit prioritization through clinical choices – evidence from three national health services," Journal of Health Economics, Elsevier, vol. 49(C), pages 169-183.
    26. 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).
    27. Glenk, Klaus & Hall, Clare & Liebe, Ulf & Meyerhoff, Jürgen, 2012. "Preferences of Scotch malt whisky consumers for changes in pesticide use and origin of barley," Food Policy, Elsevier, vol. 37(6), pages 719-731.
    28. 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.
    29. 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.
    30. Eline D'Haene & Juan Tur Cardona & Stijn Speelman & Koen Schoors & Marijke D'Haese, 2021. "Unraveling preferences for religious ties in food transactions: A consumer perspective," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 701-716, July.
    31. Amirali Kani & Wayne S. DeSarbo & Duncan K. H. Fong, 2018. "A Factorial Hidden Markov Model for the Analysis of Temporal Change in Choice Models," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(3), pages 162-177, December.
    32. 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.
    33. Zhang, Wendong & Sohngen, Brent, 2018. "Do U.S. Anglers Care about Harmful Algal Blooms? A Discrete Choice Experiment of Lake Erie Recreational Anglers," ISU General Staff Papers 201803180700001593, Iowa State University, Department of Economics.
    34. 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.
    35. 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.
    36. Dalemans, Floris & Muys, Bart & Verwimp, Anne & Van den Broeck, Goedele & Bohra, Babita & Sharma, Navin & Gowda, Balakrishna & Tollens, Eric & Maertens, Miet, 2018. "Redesigning oilseed tree biofuel systems in India," Energy Policy, Elsevier, vol. 115(C), pages 631-643.
    37. 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.
    38. David Hensher & John Rose & Zheng Li, 2012. "Does the choice model method and/or the data matter?," Transportation, Springer, vol. 39(2), pages 351-385, March.
    39. Miller, Sini & Tait, Peter & Saunders, Caroline, 2013. "Scarcity Of Canterbury’s Water: Its Multiple, Conflicting Uses," 2013 Conference, August 28-30, 2013, Christchurch, New Zealand 160269, New Zealand Agricultural and Resource Economics Society.
    40. Tait, Peter R. & Miller, Sini & Abell, Walter L. & Kaye-Blake, William & Guenther, Meike & Saunders, Caroline M., 2011. "Consumer Attitudes towards Sustainability Attributes on Food Labels," 2011 Conference (55th), February 8-11, 2011, Melbourne, Australia 100716, Australian Agricultural and Resource Economics Society.
    41. Wuepper, David & Clemm, Alexandra & Wree, Philipp, 2019. "The preference for sustainable coffee and a new approach for dealing with hypothetical bias," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 475-486.
    42. Chikaraishi, Makoto & Nakayama, Shoichiro, 2016. "Discrete choice models with q-product random utilities," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 576-595.
    43. Ryan Webb, 2019. "The (Neural) Dynamics of Stochastic Choice," Management Science, INFORMS, vol. 65(1), pages 230-255, January.
    44. Gao, Zhifeng & House, Lisa & Jing, Xie, 2013. "Online Survey Data Quality and its Implication for Willingness-to-Pay: A Cross-Country Comparison," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150777, Agricultural and Applied Economics Association.
    45. Czajkowski, Mikolaj & Hanley, Nicholas & Kadziela, Tadeusz, 2012. "We want to sort! - assessing households' preferences for sorting waste," Stirling Economics Discussion Papers 2012-01, University of Stirling, Division of Economics.
    46. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    47. Colombo, Sergio & Christie, Michael & Hanley, Nick, 2013. "What are the consequences of ignoring attributes in choice experiments? Implications for ecosystem service valuation," Ecological Economics, Elsevier, vol. 96(C), pages 25-35.
    48. Dam, Thi Huyen Trang & Tur-Cardona, Juan & Speelman, Stijn & Amjath-Babu, T.S. & Sam, Anu Susan & Zander, Peter, 2021. "Incremental and transformative adaptation preferences of rice farmers against increasing soil salinity - Evidence from choice experiments in north central Vietnam," Agricultural Systems, Elsevier, vol. 190(C).
    49. Kallas, Zein & Borrisser-Pairó, Francesc & Martínez, Beatriz & Vieira, Ceferina & Rubio, Begonia & Panella, Nuria & Gil, Marta & Linares, M. Belén & Garrido, M. Dolores & Ibañez, Miguel & M. Angels, O, 2015. "The impact of the sensory experience on scale and preference heterogeneity: The GMNL model approach to pig castration and meat quality," 143rd Joint EAAE/AAEA Seminar, March 25-27, 2015, Naples, Italy 202708, European Association of Agricultural Economists.
    50. 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.
    51. 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.
    52. Bonny Parkinson & Stephen Goodall & Richard Norman, 2013. "Measuring the Loss of Consumer Choice in Mandatory Health Programmes Using Discrete Choice Experiments," Applied Health Economics and Health Policy, Springer, vol. 11(2), pages 139-150, April.
    53. 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.
    54. Ding, Zhao & Jiang, Yuansheng, 2020. "Experience, learning behavior, and rural households’ preferences for microfinance," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304308, Agricultural and Applied Economics Association.
    55. León, Carmelo J. & González Hernández, Matías M. & Lam-González, Yen, 2023. "COVID-19 effects on travel choices under climate risks," Annals of Tourism Research, Elsevier, vol. 103(C).
    56. 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.
    57. Alaitz Artabe & Javier Gardeazabal, 2017. "Degree choice evidence from stated preferences," Empirical Economics, Springer, vol. 52(4), pages 1205-1234, June.
    58. Naoki Wakamori & Angelika Welte, 2017. "Why Do Shoppers Use Cash? Evidence from Shopping Diary Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(1), pages 115-169, February.
    59. 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.
    60. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2017. "Is there a systematic relationship between random parameters and process heuristics?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 160-177.
    61. 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.
    62. Kassie, Girma T. & Abdulai, Awudu & Greene, William H. & Shiferaw, Bekele & Abate, Tsedeke & Tarekegne, Amsal & Sutcliffe, Chloe, 2017. "Modeling Preference and Willingness to Pay for Drought Tolerance (DT) in Maize in Rural Zimbabwe," World Development, Elsevier, vol. 94(C), pages 465-477.
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    64. Benedict G. C. Dellaert & Joffre Swait & Wiktor L. Vic Adamowicz & Theo A. Arentze & Elizabeth E. Bruch & Elisabetta Cherchi & Caspar Chorus & Bas Donkers & Fred M. Feinberg & A. A. J. Marley & Linda , 2018. "Individuals’ Decisions in the Presence of Multiple Goals," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 51-64, March.
      • 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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  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. 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).
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    2. 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.
    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. 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.
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    8. 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.
    9. 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.
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    12. 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.
    13. 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.
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    30. 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.
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    32. 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.
    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.
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    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. 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.
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    46. Tobias Börger & Oliver Frör & Sören Weiß, 2017. "The relationship between perceived difficulty and randomness in discrete choice experiments: Investigating reasons for and consequences of difficulty," Discussion Papers in Environment and Development Economics 2017-03, University of St. Andrews, School of Geography and Sustainable Development.
    47. 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.
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    52. Jeroen Luyten & Sandy Tubeuf & Roselinde Kessels, 2022. "Rationing of a scarce life‐saving resource: Public preferences for prioritizing COVID‐19 vaccination," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 342-362, February.
    53. Kar H. Lim & Wuyang Hu, 2016. "How Local Is Local? A Reflection on Canadian Local Food Labeling Policy from Consumer Preference," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(1), pages 71-88, March.
    54. Vardges Hovhannisyan & Hayk Khachatryan, 2017. "Ornamental Plants in the United States: An Econometric Analysis of a Household‐Level Demand System," Agribusiness, John Wiley & Sons, Ltd., vol. 33(2), pages 226-241, April.
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