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Erik Meijer

Not to be confused with: Eric Mayer

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Erik Meijer & Jan Rouwendal, 2006. "Measuring welfare effects in models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 227-244.

    Mentioned in:

    1. Measuring welfare effects in models with random coefficients (Journal of Applied Econometrics 2006) in ReplicationWiki ()
  2. Erik Meijer & Susann Rohwedder & Tom Wansbeek, 2011. "Measurement Error in Earnings Data: Using a Mixture Model Approach to Combine Survey and Register Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 191-201, February.

    Mentioned in:

    1. Measurement Error in Earnings Data: Using a Mixture Model Approach to Combine Survey and Register Data (J Business & Econ Statistics 2012) in ReplicationWiki ()

Working papers

  1. Marco Angrisani & Maria Casanova & Erik Meijer, 2017. "Work-Life Balance and Labor Force Attachment at Older Ages," Working Papers wp366, University of Michigan, Michigan Retirement Research Center.

    Cited by:

    1. Raquel Fonseca & Hugo Morin & Ana I. Moro-Egido, 2021. "Stress and Retirement," CIRANO Working Papers 2021s-10, CIRANO.

  2. Michael D. Hurd & Erik Meijer & Michael B. Moldoff & Susann Rohwedder, 2016. "Improved Wealth Measures in the Health and Retirement Study Asset Reconciliation and Cross-Wave Imputation," Working Papers WR-1150, RAND Corporation.

    Cited by:

    1. Umesh Ghimire, 2020. "The Impact of Health on Wealth: Empirical Evidence," Working papers 2020-19, University of Connecticut, Department of Economics.
    2. Fahle, Sean & Barczyk, Daniel & Kredler, Matthias, 2021. "Save, Spend or Give? A Model of Housing, Family Insurance, and Savings in Old Age," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242406, Verein für Socialpolitik / German Economic Association.
    3. Ghimire, Umesh, 2022. "The Impact of Health on Wealth: Empirical Evidence," MPRA Paper 113850, University Library of Munich, Germany.
    4. James M. Poterba & Steven F. Venti & David A. Wise, 2017. "Longitudinal Determinants of End-of-Life Wealth Inequality," NBER Working Papers 23839, National Bureau of Economic Research, Inc.
    5. Emily Joy Nicklett & Matthew C. Lohman & Matthew Lee Smith, 2017. "Neighborhood Environment and Falls among Community-Dwelling Older Adults," IJERPH, MDPI, vol. 14(2), pages 1-15, February.
    6. Mazzonna, Fabrizio & Peracchi, Franco, 2020. "Are Older People Aware of Their Cognitive Decline? Misperception and Financial Decision Making," IZA Discussion Papers 13725, Institute of Labor Economics (IZA).
    7. Michael D. Hurd & Erik Meijer & Philip Pantoja & Susann Rohwedder, 2018. "Addition to the RAND HRS Longitudinal Files: IRA Withdrawals in the HRS, 2000 to 2014," Working Papers wp388, University of Michigan, Michigan Retirement Research Center.
    8. Jiang, Nan & Kaushal, Neeraj, 2020. "How children's education affects caregiving: Evidence from parent’s last years of life," Economics & Human Biology, Elsevier, vol. 38(C).
    9. Fabrizio Mazzonna & Franco Peracchi, 2018. "Self-assessed cognitive ability and financial wealth: Are people aware of their cognitive decline?," EIEF Working Papers Series 1808, Einaudi Institute for Economics and Finance (EIEF), revised Sep 2018.

  3. Marco Angrisani & Arie Kapteyn & Erik Meijer, 2015. "Nonmonetary Job Characteristics and Employment Transitions at Older Ages," Working Papers wp326, University of Michigan, Michigan Retirement Research Center.

    Cited by:

    1. Margarita Atanassova, 2020. "Quality of Working Environment – Challenges to the Attractiveness of Organizations as an Employer in Bulgaria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 26-43.
    2. Jody Schimmel Hyde & April Yanyuan Wu, "undated". "New Work-Limiting Health Events and Occupational Transitions Among Older Workers," Mathematica Policy Research Reports 0d12254d6aa542e09156584e8, Mathematica Policy Research.
    3. Nolan, Anne & Barrett, Alan, 2018. "Working Beyond 65 in Ireland," IZA Discussion Papers 11664, Institute of Labor Economics (IZA).
    4. Petri Böckerman & Pekka Ilmakunnas, 2017. "Do good working conditions make you work longer? Evidence on retirement decisions using linked survey and register data," Working Papers 315, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    5. Marco Angrisani & Michael D. Hurd & Erik Meijer & Andrew M. Parker & Susann Rohwedder, 2017. "Personality and Employment Transitions at Older Ages: Direct and Indirect Effects through Non-Monetary Job Characteristics," LABOUR, CEIS, vol. 31(2), pages 127-152, June.
    6. Erik Hernæs & Zhiyang Jia & John Piggott & Trond Christian Vigtel, 2020. "Work less but stay longer. Mature worker response to a flexibility reform," Discussion Papers 937, Statistics Norway, Research Department.
    7. Marco Angrisani & Maria Casanova & Erik Meijer, 2020. "Work-Life Balance and Labor Force Attachment at Older Ages," Journal of Labor Research, Springer, vol. 41(1), pages 34-68, June.
    8. Böckerman, Petri & Ilmakunnas, Pekka, 2020. "Do good working conditions make you work longer? Analyzing retirement decisions using linked survey and register data," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).

  4. Erik Meijer & Laura Spierdijk & Tom J. Wansbeek, 2015. "Consistent Estimation of Linear Panel Data Models with Measurement Error," CESifo Working Paper Series 5164, CESifo.

    Cited by:

    1. Jawara, Hamidou & Thiele, Rainer, 2018. "The nutrient-income elasticity in ultra-poor households: Evidence from Kenya," Kiel Working Papers 2114, Kiel Institute for the World Economy (IfW Kiel).
    2. Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.
    3. Bělín, Matěj, 2020. "Time-invariant regressors under fixed effects: Simple identification via a proxy variable," Economics Letters, Elsevier, vol. 186(C).
    4. Erik Meijer & Edward Oczkowski & Tom Wansbeek, 2021. "How measurement error affects inference in linear regression," Empirical Economics, Springer, vol. 60(1), pages 131-155, January.
    5. Svetlana Shchurina V. & Marina Vorobyeva A. & С. Щурина В. & М. Воробьева А., 2018. "Прогнозирование финансовых показателей деятельности банков для обеспечения их стабильного развития // Forecasting the Financial Performanceof Banks to Ensure Their Stable Development," Экономика. Налоги. Право // Economics, taxes & law, ФГОБУ "Финансовый университет при Правительстве Российской Федерации" // Financial University under The Government of Russian Federation, vol. 11(1), pages 70-82.
    6. Thomas von Brasch & Diana‐Cristina Iancu & Terje Skjerpen, 2020. "Productivity Dispersion and Measurement Error," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(4), pages 985-996, December.
    7. Fırat Yaman & Patricia Cubí-Mollá & Sergiu Ungureanu, 2023. "Which Decision Theory Describes Life Satisfaction Best? Evidence from Annual Panel Data," Journal of Happiness Studies, Springer, vol. 24(3), pages 893-916, March.

  5. Erik Meijer & Lynn A. Karoly, 2013. "Representativeness of the Low-Income Population in the Health and Retirement Study," Working Papers wp273, University of Michigan, Michigan Retirement Research Center.

    Cited by:

  6. Marco Angrisani & Michael D. Hurd & Erik Meijer & Andrew M. Parker & Susann Rohwedder, 2013. "Labor Force Transitions at Older Ages: The Roles of Work Environment and Personality," Working Papers wp295, University of Michigan, Michigan Retirement Research Center.

    Cited by:

    1. Sefane Cetin, 2021. "Joint Retirement: Evidence on the Heterogeneity of Spousal Effects," LIDAM Discussion Papers IRES 2021031, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    2. Marco Angrisani & Arie Kapteyn & Erik Meijer, 2015. "Nonmonetary Job Characteristics and Employment Transitions at Older Ages," Working Papers wp326, University of Michigan, Michigan Retirement Research Center.
    3. Grevenbrock, Nils & Groneck, Max & Ludwig, Alexander & Zimper, Alexander, 2015. "Biased Survival Beliefs, Psychological and Cognitive Explanations, and the Demand for Life Insurances," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113203, Verein für Socialpolitik / German Economic Association.
    4. Charles Brown & John Bound & Chichun Fang, 2023. "Job Demands and Social Security Disability Insurance Applications," Working Papers wp461, University of Michigan, Michigan Retirement Research Center.
    5. Ramnath, Shanthi & Shoven, John B. & Slavov, Sita Nataraj, 2021. "Pathways to retirement through self-employment," Journal of Pension Economics and Finance, Cambridge University Press, vol. 20(2), pages 232-251, April.
    6. Italo Lopez Garcia & Kathleen J. Mullen par, 2021. "The Role of Physical Job Demands and the Physical Work Environment in Retirement Outcomes," Working Papers wp437, University of Michigan, Michigan Retirement Research Center.
    7. Marco Angrisani & Michael D. Hurd & Erik Meijer & Andrew M. Parker & Susann Rohwedder, 2017. "Personality and Employment Transitions at Older Ages: Direct and Indirect Effects through Non-Monetary Job Characteristics," LABOUR, CEIS, vol. 31(2), pages 127-152, June.
    8. Brooke Helppie McFall & Amanda Sonnega & Robert J. Willis & Peter Hudomiet, 2015. "Occupations and Work Characteristics: Effects on Retirement Expectations and Timing," Working Papers wp331, University of Michigan, Michigan Retirement Research Center.

  7. Sandy Chien & Kevin Carter Feeney & Jenny Liu & Erik Meijer & Jinkook Lee, 2013. "Harmonized LASI Pilot Data Documentation Version A," Working Papers WR-1018, RAND Corporation.

    Cited by:

    1. Peifeng Hu & Serena Wang & Jinkook Lee, 2017. "Socioeconomic gradients of cardiovascular risk factors in China and India: results from the China health and retirement longitudinal study and longitudinal aging study in India," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(7), pages 763-773, September.

  8. Marco Angrisani & Michael D. Hurd & Erik Meijer, 2012. "Investment Decisions in Retirement: The Role of Subjective Expectations," Working Papers wp274, University of Michigan, Michigan Retirement Research Center.

    Cited by:

    1. Daniel Barth, 2018. "The Costs and Beliefs Implied by Direct Stock Ownership," Management Science, INFORMS, vol. 64(11), pages 5263-5288, November.

  9. Galama, T. & Hullegie, P. & Meijer, E. & Outcault, S., 2012. "Empirical evidence for decreasing returns to scale in a health capital model," Health, Econometrics and Data Group (HEDG) Working Papers 12/05, HEDG, c/o Department of Economics, University of York.

    Cited by:

    1. Burggraf, Christine, 2017. "Russian demand for dietary quality: Nutrition transition, diet quality measurement, and health investment theory," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 86, number 86.
    2. Xavier Pautrel, 2018. "Environmental policy and health in the presence of labor market imperfections," Working Papers halshs-01879558, HAL.
    3. Wang, Jiunn & Marsiliani, Laura & Renström, Thomas, 2020. "Optimal sin taxes in the presence of income taxes and health care," Economics Letters, Elsevier, vol. 186(C).
    4. Titus J. Galama & Hans van Kippersluis, 2013. "Health Inequalities through the Lens of Health Capital Theory: Issues, Solutions, and Future Directions," Tinbergen Institute Discussion Papers 13-076/V, Tinbergen Institute.
    5. Juergen Jung & Chung Tran, 2010. "Market Inefficiency, Insurance Mandate and Welfare: U.S. Health Care Reform 2010," Discussion Papers 2010-31, School of Economics, The University of New South Wales.
    6. Vincenzo Atella & Federico Belotti & Domenico Depalo, 2017. "Drug therapy adherence and health outcomes in the presence of physician and patient unobserved heterogeneity," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 106-126, September.
    7. Titus J Galama & Hans van Kippersluis, 2019. "A Theory of Socio-economic Disparities in Health over the Life Cycle," The Economic Journal, Royal Economic Society, vol. 129(617), pages 338-374.
    8. Lazuka, Volha, 2021. "Heterogeneous Returns to Medical Innovations," Lund Papers in Economic History 225, Lund University, Department of Economic History.
    9. Jung, Juergen & Tran, Chung & Chambers, Matthew, 2017. "Aging and health financing in the U.S.: A general equilibrium analysis," European Economic Review, Elsevier, vol. 100(C), pages 428-462.
    10. Juergen Jung & Chung Tran, 2016. "Online Appendix to "Market Inefficiency, Insurance Mandate and Welfare: U.S. Health Care Reform 2010"," Online Appendices 14-51, Review of Economic Dynamics.
    11. Glauben, Thomas & Grecksch, Wilfried & Burggraf, Christine, 2015. "Stochastic control of individual's health investments," EconStor Conference Papers 249588, ZBW - Leibniz Information Centre for Economics.
    12. Juergen Jung & Chung Tran, 2019. "Social Health Insurance: A Quantitative Exploration," 2019 Meeting Papers 690, Society for Economic Dynamics.
    13. Audrey Laporte, 2014. "Should the Grossman model of investment in health capital retain its iconic status?," Working Papers 140003, Canadian Centre for Health Economics, revised Jan 2015.
    14. Borgersen, Trond-Arne & King, Roswitha M., 2015. "Endogenous supply side constraints to export-led growth and aggregate growth implications in transition economies," Structural Change and Economic Dynamics, Elsevier, vol. 33(C), pages 96-109.
    15. Juergen Jung & Chung Tran, 2018. "Optimal Progressive Income Taxation in a Bewley-Grossman Framework," ANU Working Papers in Economics and Econometrics 2018-662, Australian National University, College of Business and Economics, School of Economics.
    16. Juergen Jung & Chung Tran, 2023. "Health Risk, Insurance, and Optimal Progressive Income Taxation," Journal of the European Economic Association, European Economic Association, vol. 21(5), pages 2043-2097.
    17. Michael Grossman, 2022. "The demand for health turns 50: Reflections," Health Economics, John Wiley & Sons, Ltd., vol. 31(9), pages 1807-1822, September.
    18. Burggraf, Christine, 2017. "Russian demand for dietary quality: Nutrition transition, diet quality measurement, and health investment theory," Studies on the Agricultural and Food Sector in Transition Economies 269539, Institute of Agricultural Development in Transition Economies (IAMO).
    19. Titus Galama, 2011. "A Contribution to Health Capital Theory," Working Papers WR-831, RAND Corporation.
    20. Bolin, Kristian & Liljas, Bengt & Lindgren, Björn, 2014. "Individual technologies for health - the implications of distinguishing between the ability to produce health investments and the capacity to benefit from those investments," Working Papers in Economics 587, University of Gothenburg, Department of Economics.

  10. Kevin Foster & Erik Meijer & Scott Schuh & Mike Zabek, 2011. "The 2009 survey of consumer payment choice," Public Policy Discussion Paper 11-1, Federal Reserve Bank of Boston.

    Cited by:

    1. Claire Greene & Scott Schuh & Joanna Stavins, 2017. "The 2015 Survey of Consumer Payment Choice: summary results," Research Data Report 17-3, Federal Reserve Bank of Boston.
    2. Agnieszka Huterska & Anna Iwona Piotrowska & Joanna Szalacha-Jarmużek, 2021. "Fear of the COVID-19 Pandemic and Social Distancing as Factors Determining the Change in Consumer Payment Behavior at Retail and Service Outlets," Energies, MDPI, vol. 14(14), pages 1-18, July.
    3. Imaduddin Sahabat & Teguh Dartanto & Haidy A. Passay & Diah Widyawati, 2017. "Electronics Payment Decisions of the Indonesian Urban Households: A Nested Logit Analysis of the Effects of the Payment Characteristics," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 498-511.
    4. Marcin Hitczenko & Mingzhu Tai, 2014. "Measuring unfamiliar economic concepts: the case of prepaid card adoption," Working Papers 14-9, Federal Reserve Bank of Boston.
    5. Marcin Hitczenko, 2013. "Optimal recall period length in consumer payment surveys," Working Papers 13-16, Federal Reserve Bank of Boston.
    6. Auer, Raphael & Tercero-Lucas, David, 2022. "Distrust or speculation? The socioeconomic drivers of U.S. cryptocurrency investments," Journal of Financial Stability, Elsevier, vol. 62(C).
    7. Marco Angrisani & Kevin Foster & Marcin Hitczenko, 2013. "The 2010 Survey of Consumer Payment Choice: technical appendix," Research Data Report 13-3, Federal Reserve Bank of Boston.
    8. Bruno Karoubi & Régis Chenavaz & Corina Paraschiv, 2016. "Consumers’ perceived risk and hold and use of payment instruments," Applied Economics, Taylor & Francis Journals, vol. 48(14), pages 1317-1329, March.
    9. Dubravka Ritter, 2012. "Do we still need the Equal Credit Opportunity Act?," Consumer Finance Institute discussion papers 12-03, Federal Reserve Bank of Philadelphia.
    10. Schuh, Scott & Briglevics, Tamás, 2014. "U.S. consumer demand for cash in the era of low interest rates and electronic payments," Working Paper Series 1660, European Central Bank.
    11. Choi, Hyung Sun, 2014. "Money, credit, risk of loss, and limited participation," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 9-23.
    12. Marco Angrisani & Arie Kapteyn & Scott Schuh, 2014. "Measuring Household Spending and Payment Habits: The Role of "Typical" and "Specific" Time Frames in Survey Questions," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 414-440, National Bureau of Economic Research, Inc.
    13. Oz Shy, 2012. "Who gains and who loses from the 2011 debit card interchange fee reform?," Public Policy Discussion Paper 12-6, Federal Reserve Bank of Boston.
    14. Konstantinos Nikolopoulos & Konstantia Litsiou, 2019. "Social Collateral and consumer payment media during the economic crisis in Europe," Working Papers 19009, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    15. Sébastien Lotz & Cathy Zhang, 2016. "Money and credit as means of payment: A new monetarist approach," Post-Print hal-04149261, HAL.
    16. Peter Mooslechner & Helmut Stix & Karin Wagner, 2012. "The Use of Payment Instruments in Austria - A Study Based on Survey Data from 1996 to 2011," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 53-77.
    17. Scott Schuh & Joanna Stavins, 2014. "The 2011 and 2012 Surveys of Consumer Payment Choice," Research Data Report 14-1, Federal Reserve Bank of Boston.
    18. Kevin Foster & Scott Schuh & Hanbing Zhang, 2013. "The 2010 Survey of Consumer Payment Choice," Research Data Report 13-2, Federal Reserve Bank of Boston.
    19. Joanna Stavins, 2016. "The effect of demographics on payment behavior: panel data with sample selection," Working Papers 16-5, Federal Reserve Bank of Boston.
    20. Marcin Hitczenko, 2015. "Estimating population means in the 2012 Survey of Consumer Payment Choice," Research Data Report 15-2, Federal Reserve Bank of Boston.
    21. Oz Shy, 2014. "Measuring Some Effects Of The 2011 Debit Card Interchange Fee Reform," Contemporary Economic Policy, Western Economic Association International, vol. 32(4), pages 769-783, October.
    22. Sean Connolly & Joanna Stavins, 2015. "Payment instrument adoption and use in the United States, 2009–2013, by consumers' demographic characteristics," Research Data Report 15-6, Federal Reserve Bank of Boston.
    23. Nur Annisa Hasniawati & Eva R. Lase & Akhis R. Hutabarat, 2020. "Indonesian Household Payment Choice: A Nested Logit Analysis," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 291-313.
    24. Konstantinos Nikolopoulos & Konstantia Litsiou, 2019. "Consumer payment choice during the crisis in Europe: a heterogeneous behaviour?," Working Papers 19007, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).

  11. Erik Meijer & Lynn A. Karoly & Pierre-Carl Michaud, 2010. "Using Matched Survey and Administrative Data to Estimate Eligibility for the Medicare Part D Low Income Subsidy Program," Working Papers WR-743, RAND Corporation.

    Cited by:

    1. Adela Luque & Renuka Bhaskar, 2014. "2010 American Community Survey Match Study," CARRA Working Papers 2014-03, Center for Economic Studies, U.S. Census Bureau.
    2. Erik Meijer & Lynn A. Karoly, 2013. "Representativeness of the Low-Income Population in the Health and Retirement Study," Working Papers wp273, University of Michigan, Michigan Retirement Research Center.

  12. Kevin Foster & Erik Meijer & Scott Schuh & Mike Zabek, 2010. "The 2008 Survey of Consumer Payment Choice," Public Policy Discussion Paper 09-10, Federal Reserve Bank of Boston.

    Cited by:

    1. Claire Greene & Scott Schuh & Joanna Stavins, 2017. "The 2015 Survey of Consumer Payment Choice: summary results," Research Data Report 17-3, Federal Reserve Bank of Boston.
    2. Kevin Foster & Erik Meijer & Scott Schuh & Mike Zabek, 2011. "The 2009 survey of consumer payment choice," Public Policy Discussion Paper 11-1, Federal Reserve Bank of Boston.
    3. Bruce J. Summers & Kirstin E. Wells, 2011. "Emergence of immediate funds transfer as a general-purpose means of payment," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 35(Q III), pages 97-112.
    4. Greene, Claire & Stavins, Joanna, 2017. "Did the Target data breach change consumer assessments of payment card security?," Journal of Payments Strategy & Systems, Henry Stewart Publications, vol. 11(2), pages 121-133, August.
    5. Oz Shy & Zhu Wang, 2008. "Why Do Payment Card Networks Charge Proportional Feeds?," Research Working Paper RWP 08-13, Federal Reserve Bank of Kansas City.
    6. Scott Schuh & Joanna Stavins, 2014. "The 2011 and 2012 Surveys of Consumer Payment Choice," Research Data Report 14-1, Federal Reserve Bank of Boston.
    7. Kevin Foster & Scott Schuh & Hanbing Zhang, 2013. "The 2010 Survey of Consumer Payment Choice," Research Data Report 13-2, Federal Reserve Bank of Boston.
    8. Ronald J. Mann, 2011. "Adopting, using, and discarding paper and electronic payment instruments: variation by age and race," Public Policy Discussion Paper 11-2, Federal Reserve Bank of Boston.
    9. Joanna Stavins, 2016. "The effect of demographics on payment behavior: panel data with sample selection," Working Papers 16-5, Federal Reserve Bank of Boston.
    10. Shy Oz, 2012. "Account-to-Account Electronic Money Transfers: Recent Developments in the United States," Review of Network Economics, De Gruyter, vol. 11(1), pages 1-25, March.
    11. Sean Connolly & Joanna Stavins, 2015. "Payment instrument adoption and use in the United States, 2009–2013, by consumers' demographic characteristics," Research Data Report 15-6, Federal Reserve Bank of Boston.
    12. William Jack & Tavneet Suri & Robert M. Townsend, 2010. "Monetary theory and electronic money : reflections on the Kenyan experience," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 96(1Q), pages 83-122.
    13. Claire Greene & Joanna Stavins, 2018. "The 2016 and 2017 surveys of consumer payment choice: summary results," Research Data Report 18-3, Federal Reserve Bank of Boston.
    14. Lukasz Drozd & Michal Kowalik, 2019. "Credit Cards and the Great Recession: The Collapse of Teasers," 2019 Meeting Papers 1047, Society for Economic Dynamics.

  13. Angela A. Hung & Erik Meijer & Kata Mihaly & Joanne K. Yoong, 2009. "Building Up, Spending Down Financial Literacy, Retirement Savings Management, and Decumulation," Working Papers WR-712, RAND Corporation.

    Cited by:

    1. Luisa R. Blanco & O. Kenrik Duru & Carol M. Mangione, 2020. "A Community-Based Randomized Controlled Trial of an Educational Intervention to Promote Retirement Saving Among Hispanics," Journal of Family and Economic Issues, Springer, vol. 41(2), pages 300-315, June.
    2. Daniel Fernandes & John G. Lynch & Richard G. Netemeyer, 2014. "Financial Literacy, Financial Education, and Downstream Financial Behaviors," Management Science, INFORMS, vol. 60(8), pages 1861-1883, August.
    3. Aileen Heinberg & Angela Hung & Arie Kapteyn & Annamaria Lusardi & Anya Samek & Joanne Yoong, 2014. "Five Steps to Planning Success. Experimental Evidence from U.S. Households," Framed Field Experiments 00434, The Field Experiments Website.
    4. Lewis Glinert & Aileen Heinberg & Angela Hung & Arie Kapteyn & Annamaria Lusardi & Anya Samek, 2014. "Visual Tools and Narratives: New Ways to Improve Financial Literacy," Framed Field Experiments 00429, The Field Experiments Website.
    5. Avner Ben-Ner & John List & Louis Putterman & Anya Samek, 2015. "Learned Generosity? A Field Experiment with Parents and Their Children," Artefactual Field Experiments 00434, The Field Experiments Website.
    6. Johansen, Kathrin, 2010. "Multiple information search and employee participation in occupational pension plans," Thuenen-Series of Applied Economic Theory 114, University of Rostock, Institute of Economics.
    7. Angela A. Hung & Joanne K. Yoong, 2010. "Asking for Help Survey And Experimental Evidence on Financial Advice and Behavior Change," Working Papers WR-714-1, RAND Corporation.
    8. Angela A. Hung & Aileen Heinberg & Joanne K. Yoong, 2010. "Do Risk Disclosures Affect Investment Choice?," Working Papers WR-788, RAND Corporation.
    9. Xu, Lisa & Zia, Bilal, 2012. "Financial literacy around the world : an overview of the evidence with practical suggestions for the way forward," Policy Research Working Paper Series 6107, The World Bank.
    10. Agnese Romiti & Mariacristina Rossi, 2014. "Wealth decumulation, portfolio composition and financial literacy among European elderly," Carlo Alberto Notebooks 375, Collegio Carlo Alberto.
    11. Carrie R. Houts & Melissa A. Z. Knoll, 2020. "The Financial Knowledge Scale: New Analyses, Findings, and Development of a Short Form," Journal of Consumer Affairs, Wiley Blackwell, vol. 54(2), pages 775-800, June.
    12. Goedde-Menke, Michael & Lehmensiek-Starke, Moritz & Nolte, Sven, 2014. "An empirical test of competing hypotheses for the annuity puzzle," Journal of Economic Psychology, Elsevier, vol. 43(C), pages 75-91.
    13. Siddiqi, Umema, 2023. "The Intersection of Financial Literacy, Cognitive Ability, and Numeracy Skills in Pakistani Adults," MPRA Paper 119781, University Library of Munich, Germany.
    14. Marco Angrisani & Michael D. Hurd & Erik Meijer, 2012. "Investment Decisions in Retirement: The Role of Subjective Expectations," Working Papers wp274, University of Michigan, Michigan Retirement Research Center.

  14. Paul Gilbert & Erik Meijer, 2006. "Money and Credit Factors," Staff Working Papers 06-3, Bank of Canada.

    Cited by:

    1. Klomp, Jeroen & de Haan, Jakob, 2009. "Central bank independence and financial instability," Journal of Financial Stability, Elsevier, vol. 5(4), pages 321-338, December.

  15. Gilbert, Paul D. & Meijer, Erik, 2005. "Time Series Factor Analysis with an Application to Measuring Money," Research Report 05F10, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. Lamprou, Dimitra, 2016. "Nowcasting GDP in Greece: The impact of data revisions and forecast origin on model selection and performance," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 93-102.
    2. Muñoz, Mª Pilar & Márquez, María Dolores & Sánchez, Josep A., 2011. "Contagion between United States and european markets during the recent crises," MPRA Paper 35993, University Library of Munich, Germany.
    3. Mr. Nicolas Arregui & Mr. Selim A Elekdag & Mr. Gaston Gelos & Romain Lafarguette & Dulani Seneviratne, 2018. "Can Countries Manage Their Financial Conditions Amid Globalization?," IMF Working Papers 2018/015, International Monetary Fund.
    4. Probst, Julius, 2019. "Global real interest rate dynamics from the late 19th century to today," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 522-547.
    5. M. Pilar Muñoz & Cristina Corchero & F.-Javier Heredia, 2013. "Improving Electricity Market Price Forecasting with Factor Models for the Optimal Generation Bid," International Statistical Review, International Statistical Institute, vol. 81(2), pages 289-306, August.
    6. Calista Cheung & Frédérick Demers, 2007. "Evaluating Forecasts from Factor Models for Canadian GDP Growth and Core Inflation," Staff Working Papers 07-8, Bank of Canada.
    7. Jørgen Bølstad, 2015. "Dynamics of European integration: Public opinion in the core and periphery," European Union Politics, , vol. 16(1), pages 23-44, March.
    8. Klomp, Jeroen & de Haan, Jakob, 2009. "Political institutions and economic volatility," European Journal of Political Economy, Elsevier, vol. 25(3), pages 311-326, September.

  16. Meijer, E. & Wansbeek, T., 2000. "Measurement error in a single regressor," Research Report 00F14, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. Mario Jametti & Thomas Ungern-Sternberg, 2005. "Assessing the Efficiency of an Insurance Provider—A Measurement Error Approach," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 30(1), pages 15-34, June.
    2. Galama, T. & Hullegie, P. & Meijer, E. & Outcault, S., 2012. "Empirical evidence for decreasing returns to scale in a health capital model," Health, Econometrics and Data Group (HEDG) Working Papers 12/05, HEDG, c/o Department of Economics, University of York.
    3. Qing Li, 2014. "Identifiability of mean-reverting measurement error with instrumental variable," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(2), pages 118-129, May.
    4. Ramses H. ABUL NAGA, 2001. "Biases of the Ordinary Least Squares and Instrumental Variables Estimators of the Intergenerational Earnings Correlation : Revisited in the Light of Panel Data," Cahiers de Recherches Economiques du Département d'économie 01.05, Université de Lausanne, Faculté des HEC, Département d’économie.
    5. Erik Meijer & Edward Oczkowski & Tom Wansbeek, 2021. "How measurement error affects inference in linear regression," Empirical Economics, Springer, vol. 60(1), pages 131-155, January.
    6. Jakob De Haan & Erik Leertouwer & Erik Meijer & Tom Wansbeek, 2003. "Measuring central bank independence: a latent variables approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(3), pages 326-340, August.
    7. Ramses Abul Naga, 2008. "Biases of the ordinary least squares and instrumental variables estimators of the intergenerational earnings elasticity: Revisited in the light of panel data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(4), pages 323-350, December.
    8. Wansbeek, Tom, 2001. "GMM estimation in panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 104(2), pages 259-268, September.

  17. Meijer, E. & Rouwendal, J., 2000. "Measuring welfare effects in models with random coefficients," Research Report 00F25, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. Crastes, Romain & Beaumais, Olivier & Arkoun, Ouerdia & Laroutis, Dimitri & Mahieu, Pierre-Alexandre & Rulleau, Bénédicte & Hassani-Taibi, Salima & Barbu, Vladimir Stefan & Gaillard, David, 2014. "Erosive runoff events in the European Union: Using discrete choice experiment to assess the benefits of integrated management policies when preferences are heterogeneous," Ecological Economics, Elsevier, vol. 102(C), pages 105-112.
    2. Rommel, Jens & Sagebiel, Julian & Müller, Jakob R., 2016. "Quality uncertainty and the market for renewable energy: Evidence from German consumers," Renewable Energy, Elsevier, vol. 94(C), pages 106-113.
    3. Jun B. Kim & Paulo Albuquerque & Bart J. Bronnenberg, 2010. "Online Demand Under Limited Consumer Search," Marketing Science, INFORMS, vol. 29(6), pages 1001-1023, 11-12.
    4. Piotr Ćwiakowski & Marek Giergiczny & Michał Krawczyk, 2013. "Pirates in the lab. Using incentivized choice experiments to explore preference for (un)authorized content," Working Papers 2013-25, Faculty of Economic Sciences, University of Warsaw.
    5. Adelina Gshwandtner & Cheul Jang & Richard McManus, 2017. "Improving Drinking Quality in South Korea: A Choice Experiment," Studies in Economics 1720, School of Economics, University of Kent.
    6. Richard T. Carson & Mikołaj Czajkowski, 2018. "A New Baseline Model for Estimating Willingness to Pay from Discrete Choice Models," Working Papers 2018-04, Faculty of Economic Sciences, University of Warsaw.
    7. Raja Chakir & Maia David & Estelle Gozlan & Aminata Sangare, 2016. "Valuing the Impacts of An Invasive Biological Control Agent: A Choice Experiment on the Asian Ladybird in France," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 619-638, September.
    8. Andrew J. Epstein & Jonathan D. Ketcham, 2014. "Information technology and agency in physicians' prescribing decisions," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 422-448, June.
    9. Erik Meijer & Jan Rouwendal, 2006. "Measuring welfare effects in models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 227-244, March.
    10. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    11. David Hensher, 2006. "The Signs of the Times: Imposing a Globally Signed Condition on Willingness to Pay Distributions," Transportation, Springer, vol. 33(3), pages 205-222, May.
    12. Elisabetta Strazzera & Elisabetta Cherchi & Silvia Ferrini, 2010. "Assessment of Regeneration Projects in Urban Areas of Environmental Interest: A Stated Choice Approach to Estimate Use and Quasi-Option Values," Environment and Planning A, , vol. 42(2), pages 452-468, February.
    13. Varkevisser, Marco & van der Geest, Stéphanie A. & Schut, Frederik T., 2012. "Do patients choose hospitals with high quality ratings? Empirical evidence from the market for angioplasty in the Netherlands," Journal of Health Economics, Elsevier, vol. 31(2), pages 371-378.
    14. Neeraj Arora & Ty Henderson & Qing Liu, 2011. "Noncompensatory Dyadic Choices," Marketing Science, INFORMS, vol. 30(6), pages 1028-1047, November.
    15. Acheampong, Patricia Pinamang & Owusu, Victor & Nurah, Gyiele K., 2013. "Farmers Preferences for Cassava Variety Traits: Empirical Evidence from Ghana," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161633, African Association of Agricultural Economists (AAAE).
    16. Anna Kollerup & Jacob Ladenburg, 2021. "Willingness to pay for accommodating job attributes when returning to work after cancer treatment: A discrete choice experiment with Danish breast cancer survivors," LABOUR, CEIS, vol. 35(3), pages 378-411, September.
    17. Ladenburg, Jacob & Olsen, Søren Bøye, 2014. "Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys," Resource and Energy Economics, Elsevier, vol. 37(C), pages 39-63.
    18. 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.
    19. 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.
    20. Cherchi, Elisabetta & Guevara, Cristian Angelo, 2012. "A Monte Carlo experiment to analyze the curse of dimensionality in estimating random coefficients models with a full variance–covariance matrix," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 321-332.
    21. Zhou, Guzhen & Hu, Wuyang & Schieffer, Jack & Robbins, Lynn, 2013. "Public Acceptance of and Willingness to Pay for Nanofood: Case of Canola Oil," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149662, Agricultural and Applied Economics Association.
    22. Sibiko, Kenneth W. & Veettil, Prakashan C. & Qaim, Matin, 2016. "Small Farmers’ Preferences for Weather Index Insurance: Insights from Kenya," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246399, African Association of Agricultural Economists (AAAE).
    23. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    24. Björklund, Gunilla & Swärdh, Jan-Erik, 2015. "Valuing in-vehicle comfort and crowding reduction in public transport," Working papers in Transport Economics 2015:12, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    25. Angel Bujosa & Antoni Riera & Robert Hicks, 2010. "Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(4), pages 477-493, December.
    26. Parvaneh Shahnoori & Glenn P. Jenkins, 2019. "Valuation of the Quality Attributes of Online Banking Services by Small and Medium Enterprises Engaged in International Trade," South African Journal of Economics, Economic Society of South Africa, vol. 87(1), pages 65-81, March.
    27. Sobolewski, Maciej & Czajkowski, MikoŁaj, 2012. "Network effects and preference heterogeneity in the case of mobile telecommunications markets," Telecommunications Policy, Elsevier, vol. 36(3), pages 197-211.
    28. Michela Faccioli & Catalina M. Torres & Antoni Riera Font, 2014. "Decision making under inherent uncertainty: does preference analysis play a role in the design of wetland adaptation to climate change?," DEA Working Papers 66, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    29. Lim, Kar Ho & Hu, Wuyang & Maynard, Leigh J. & Goddard, Ellen W., 2012. "Stated Preference and Perception Analysis for Traceable and BSE-tested Beef: An Application of Mixed Error-Component Logit Model," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124784, Agricultural and Applied Economics Association.
    30. Simona Rasciute & Eric J Pentecost, 2008. "The Latent Heterogeneity in Investment Location Choices of Multinational Enterprises," Discussion Paper Series 2008_16, Department of Economics, Loughborough University, revised Dec 2008.
    31. Miko?aj Czajkowski & Maciej Sobolewski, 2011. "Measuring network effects in mobile telecommunications markets with stated-preference valuation methods," International Journal of Management and Network Economics, Inderscience Enterprises Ltd, vol. 2(2), pages 197-215.
    32. Margaret Aksoy-Pierson & Gad Allon & Awi Federgruen, 2013. "Price Competition Under Mixed Multinomial Logit Demand Functions," Management Science, INFORMS, vol. 59(8), pages 1817-1835, August.
    33. Khachatryan, Hayk & Zhou, Guzhen, 2014. "Preferences for Sustainable Lawn Care Practices: The Choice of Lawn Fertilizers," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170210, Agricultural and Applied Economics Association.
    34. Contu, Davide & Mourato, Susana & Kaya, Ozgur, 2020. "Individual preferences towards nuclear energy: the transient residency effect," LSE Research Online Documents on Economics 103432, London School of Economics and Political Science, LSE Library.
    35. Mohammed H. Alemu & Søren B. Olsen & Suzanne E. Vedel & John N. Kinyuru & Kennedy O. Pambo, 2017. "Can insects increase food security in developing countries? An analysis of Kenyan consumer preferences and demand for cricket flour buns," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(3), pages 471-484, June.
    36. Carole Ropars-Collet & Mélody Leplat & Philippe Le Goffe & Marie Lesueur, 2015. "La pêche professionnelle est-elle un facteur d’attractivité récréative sur le littoral ?," Working Papers SMART 15-02, INRAE UMR SMART.
    37. 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.
    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. Tomasz Gajderowicz & Maciej Jakubowski & Sylwia Wrona & Ghadah Alkhadim, 2023. "Is students’ teamwork a dreamwork? A new DCE-based multidimensional approach to preferences towards group work," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    40. Zhai, Qianqian & Kassas, Bachir & Zhao, Shuoli & Chen, Lijun & Chen, Chao, 2020. "Investigating Preference Inconsistencies in Incentive Structures that Account for House Money Effects," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304584, Agricultural and Applied Economics Association.
    41. Daziano, Ricardo A. & Achtnicht, Martin, 2014. "Accounting for uncertainty in willingness to pay for environmental benefits," Energy Economics, Elsevier, vol. 44(C), pages 166-177.
    42. Sobolewski, Maciej & Kopczewski, Tomasz, 2015. "Measuring reservation prices for bundles of fixed telecommunications services," 26th European Regional ITS Conference, Madrid 2015 127182, International Telecommunications Society (ITS).
    43. Arne Risa Hole, 2007. "Modelling Heterogeneity in Patients' Preferences for the Attributes of a General Practitioner Appointment," Working Papers 022cherp, Centre for Health Economics, University of York.
    44. George K. Danso & Miriam Otoo & Nguyen Duy Linh & Ganesha Madurangi, 2017. "Households’ Willingness-to-Pay for Fish Product Attributes and Implications for Market Feasibility of Wastewater-Based Aquaculture Businesses in Hanoi, Vietnam," Resources, MDPI, vol. 6(3), pages 1-22, July.
    45. Akaichi, Faical & Grauw, Steven de & Darmon, Paul, 2015. "Are Fair Trade, Carbon Footprint and Organic Attributes competing? Some Evidences from Scotland, Netherland and France," 2015 Conference, August 9-14, 2015, Milan, Italy 210940, International Association of Agricultural Economists.
    46. 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.
    47. Mohammed H. Alemu & Søren Bøye Olsen & Suzanne E. Vedel & John Kinyuru & Kennedy O. Pambo, 2016. "Integrating sensory evaluations in incentivized discrete choice experiments to assess consumer demand for cricket flour buns in Kenya," IFRO Working Paper 2016/02, University of Copenhagen, Department of Food and Resource Economics.
    48. Sagebiel, Julian, 2017. "Preference heterogeneity in energy discrete choice experiments: A review on methods for model selection," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 804-811.
    49. Maurus Rischatsch, 2009. "Simulating WTP Values from Random-Coefficient Models," SOI - Working Papers 0912, Socioeconomic Institute - University of Zurich.
    50. Garrett Sonnier & Andrew Ainslie & Thomas Otter, 2007. "Heterogeneity distributions of willingness-to-pay in choice models," Quantitative Marketing and Economics (QME), Springer, vol. 5(3), pages 313-331, September.
    51. Satoru Shimokawa & Dezhuang Hu & Dandan Li & Hong Cheng, 2021. "The urban–rural gap in the demand for food safety in China: The role of food label knowledge," Agricultural Economics, International Association of Agricultural Economists, vol. 52(2), pages 175-193, March.
    52. Jan Rouwendal & Arianne de Blaeij & Piet Rietveld & Erik Verhoef, 2008. "The Information Content of a Stated Choice Experiment," Tinbergen Institute Discussion Papers 08-053/3, Tinbergen Institute.
    53. Liu, Zhaoyang & Hanley, Nick & Campbell, Danny, 2020. "Linking urban air pollution with residents’ willingness to pay for greenspace: A choice experiment study in Beijing," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    54. Abildtrup, Jens & Garcia, Serge & Olsen, Søren Bøye & Stenger, Anne, 2013. "Spatial preference heterogeneity in forest recreation," Ecological Economics, Elsevier, vol. 92(C), pages 67-77.
    55. Sonnier, Garrett P., 2014. "The market value for product attribute improvements under price personalization," International Journal of Research in Marketing, Elsevier, vol. 31(2), pages 168-177.
    56. Gschwandtner, A., 2018. "Improving Drinking Water Quality in South Korea: A Choice Experiment," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277418, International Association of Agricultural Economists.
    57. Vassalos, Michael & Lim, Kar Ho, 2016. "Farmers’ Willingness to Pay for Various Features of Electronic Food Marketing Platforms," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(2), pages 1-19, May.
    58. Bruno Lanz & Allan Provins, 2011. "Valuing Local Environmental Amenity with Discrete Choice Experiments: Spatial Scope Sensitivity and Heterogeneous Marginal Utility of Income," CEPE Working paper series 11-79, CEPE Center for Energy Policy and Economics, ETH Zurich.
    59. Hynes, Stephen & Armstrong, Claire W. & Xuan, Bui Bich & Ankamah-Yeboah, Isaac & Simpson, Katherine & Tinch, Robert & Ressurreição, Adriana, 2021. "Have environmental preferences and willingness to pay remained stable before and during the global Covid-19 shock?," Ecological Economics, Elsevier, vol. 189(C).
    60. Fitzsimmons, Jill & Cicia, Gianni, 2018. "Different Tubers for Different Consumers: Heterogeneity in Human Values and Willingness to Pay for Social Outcomes of Potato Credence Attributes," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 9(4), August.
    61. Ricardo Scarpa & Mara Thiene & Kenneth Train, 2006. "Utility in WTP Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," Working Papers in Economics 06/15, University of Waikato.
    62. Federico Pontoni & Daniel Vecchiato & Francesco Marangon & Tiziano Tempesta & Stefania Troiano, 2016. "Choice experiments and environmental taxation: An application to the Italian hydropower sector," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2016(3), pages 99-118.
    63. Carole Ropars–Collet & Mélody Leplat & Philippe Le Goffe & Marie Lesueur, 2015. "Commercial Fishery as an Asset for Recreational Demand on the Coastline: Evidence from a Choice Experiment in France, United Kingdom and Belgium," 2015 EAFE (European Association of Fisheries Economists) Conference Papers 009, Nisea.
    64. Rouwendal, Jan & de Blaeij, Arianne & Rietveld, Piet & Verhoef, Erik, 2010. "The information content of a stated choice experiment: A new method and its application to the value of a statistical life," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 136-151, January.
    65. Simona Rasciute & Eric J. Pentecost, 2008. "The Location of Foreign Direct Investment in the Central and Eastern European Countries: A Mixed Logit and Multilevel Data Approach," Discussion Paper Series 2008_04, Department of Economics, Loughborough University, revised Jul 2008.
    66. Mohammed H. Alemu & Søren B. Olsen, 2017. "Can a Repeated Opt-Out Reminder remove hypothetical bias in discrete choice experiments? An application to consumer valuation of novel food products," IFRO Working Paper 2017/05, University of Copenhagen, Department of Food and Resource Economics.
    67. Guzhen Zhou & Wuyang Hu & Wenchao Huang, 2016. "Are Consumers Willing to Pay More for Sustainable Products? A Study of Eco-Labeled Tuna Steak," Sustainability, MDPI, vol. 8(5), pages 1-18, May.
    68. Björklund, Gunilla & Swärdh, Jan-Erik, 2016. "Valuing in-vehicle comfort and crowding reduction in public transport," Working papers in Transport Economics 2016:2, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    69. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    70. Björklund, Gunilla & Swärdh, Jan-Erik, 2017. "Estimating policy values for in-vehicle comfort and crowding reduction in local public transport☆," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 453-472.
    71. Valentino Dardanone & Carla Guerriero, 2019. "Children's Willingness to Pay for Environmental Protection," CSEF Working Papers 550, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    72. Schleich, Joachim & Faure, Corinne & Guetlein, Marie-Charlotte & Tu, Gengyang, 2019. "Conveyance and the moderating effect of envy on homeowners' choice of appliances," Working Papers "Sustainability and Innovation" S06/2019, Fraunhofer Institute for Systems and Innovation Research (ISI).
    73. Morrissey, Karyn & Plater, Andrew & Dean, Mary, 2018. "The cost of electric power outages in the residential sector: A willingness to pay approach," Applied Energy, Elsevier, vol. 212(C), pages 141-150.
    74. 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.
    75. Søren Olsen, 2009. "Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market Goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(4), pages 591-610, December.
    76. Khachatryan, Hayk & Suh, Dong Hee & Xu, Wan & Useche, Pilar & Dukes, Michael D., 2019. "Towards sustainable water management: Preferences and willingness to pay for smart landscape irrigation technologies," Land Use Policy, Elsevier, vol. 85(C), pages 33-41.
    77. Parveneh Shahnoori & Glenn P. Jenkins, 2015. "Value of E-Banking to Small and Medium-Sized Enterprises," Development Discussion Papers 2015-09, JDI Executive Programs.

Articles

  1. Jung, Dawoon & Lee, Jinkook & Meijer, Erik, 2022. "Revisiting the effect of retirement on Cognition: Heterogeneity and endowment," The Journal of the Economics of Ageing, Elsevier, vol. 21(C).

    Cited by:

    1. Teresa Ghilarducci & Karthik Manickam, 2023. "A Critical Survey of Pension Provision And Pension Reform," SCEPA working paper series. 2023-04, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.

  2. Erik Meijer & Edward Oczkowski & Tom Wansbeek, 2021. "How measurement error affects inference in linear regression," Empirical Economics, Springer, vol. 60(1), pages 131-155, January.

    Cited by:

    1. Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
    2. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.

  3. Marco Angrisani & Maria Casanova & Erik Meijer, 2020. "Work-Life Balance and Labor Force Attachment at Older Ages," Journal of Labor Research, Springer, vol. 41(1), pages 34-68, June.
    See citations under working paper version above.
  4. M. Galesic & W. Bruine de Bruin & M. Dumas & A. Kapteyn & J. E. Darling & E. Meijer, 2018. "Asking about social circles improves election predictions," Nature Human Behaviour, Nature, vol. 2(3), pages 187-193, March.

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    1. Hamish Greenop‐Roberts, 2022. "Forecasting Federal Elections: New Data From 2010–2019 and a Discussion of Alternative and Emerging Methods," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(1), pages 25-39, March.
    2. Rajiv Sethi & Julie Seager & Emily Cai & Daniel M. Benjamin & Fred Morstatter, 2021. "Models, Markets, and the Forecasting of Elections," Papers 2102.04936, arXiv.org, revised May 2021.
    3. Malik, Muhammad Yousaf & Latif, Kashmala, 2021. "Impact of outbound tourism on outward FDI," Annals of Tourism Research, Elsevier, vol. 91(C).
    4. Olsson, Henrik, 2021. "Election polling is not dead: A Bayesian bootstrap method yields accurate forecasts," OSF Preprints nqcgs, Center for Open Science.
    5. Sonja Radas & Drazen Prelec, 2019. "Whose data can we trust: How meta-predictions can be used to uncover credible respondents in survey data," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
    6. Schönegger, Philipp & Verheyen, Steven, 2022. "Taking A Closer Look At The Bayesian Truth Serum: A Registered Report (Stage 2 Registered Report)," OSF Preprints 9zvqj, Center for Open Science.

  5. Meijer, Erik & Karoly, Lynn A., 2017. "Representativeness of the low-income population in the Health and Retirement Study," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 90-99.
    See citations under working paper version above.
  6. Marco Angrisani & Michael D. Hurd & Erik Meijer & Andrew M. Parker & Susann Rohwedder, 2017. "Personality and Employment Transitions at Older Ages: Direct and Indirect Effects through Non-Monetary Job Characteristics," LABOUR, CEIS, vol. 31(2), pages 127-152, June.

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    1. Wenwen Kong & Minmin Ren & Yuqin Li & Danjun Feng, 2022. "Predictors of delayed retirement intention in older Chinese workers," LABOUR, CEIS, vol. 36(4), pages 505-524, December.
    2. Claudio Lucifora & Martina Repetto, 2022. "Big five personality traits and retirement decisions," LABOUR, CEIS, vol. 36(1), pages 1-28, March.
    3. Lauren L. Schmitz & Courtney L. McCluney & Amanda Sonnega & Margaret T. Hicken, 2019. "Interpreting Subjective and Objective Measures of Job Resources: The Importance of Sociodemographic Context," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
    4. Marco Angrisani & Maria Casanova & Erik Meijer, 2020. "Work-Life Balance and Labor Force Attachment at Older Ages," Journal of Labor Research, Springer, vol. 41(1), pages 34-68, June.

  7. Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017. "Consistent estimation of linear panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
    See citations under working paper version above.
  8. Titus J. Galama & Patrick Hullegie & Erik Meijer & Sarah Outcault, 2012. "Is There Empirical Evidence For Decreasing Returns To Scale In A Health Capital Model?," Health Economics, John Wiley & Sons, Ltd., vol. 21(9), pages 1080-1100, September.
    See citations under working paper version above.
  9. Erik Meijer & Arie Kapteyn & Tatiana Andreyeva, 2011. "Internationally comparable health indices," Health Economics, John Wiley & Sons, Ltd., vol. 20(5), pages 600-619, May.

    Cited by:

    1. Riumallo-Herl, Carlos & Canning, David & Kabudula, Chodziwadziwa, 2019. "Health inequalities in the South African elderly: The importance of the measure of social-economic status," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    2. Galama, T. & Hullegie, P. & Meijer, E. & Outcault, S., 2012. "Empirical evidence for decreasing returns to scale in a health capital model," Health, Econometrics and Data Group (HEDG) Working Papers 12/05, HEDG, c/o Department of Economics, University of York.
    3. Sonja Spitzer & Daniela Weber, 2019. "Reporting biases in self-assessed physical and cognitive health status of older Europeans," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-22, October.
    4. N. N., 2015. "WIFO-Monatsberichte, Heft 8/2015," WIFO Monatsberichte (monthly reports), WIFO, vol. 88(8), August.
    5. Mark E. McGovern, 2016. "Comparing the Relationship Between Stature and Later Life Health in Six Low and Middle Income Countries," PGDA Working Papers 11814, Program on the Global Demography of Aging.
    6. Yolanda Pena-Boquete & Manuel Flores, 2013. "Earnings returns to education, experience and health: Evidence from EU-SILC," ERSA conference papers ersa13p1169, European Regional Science Association.
    7. Manuel Flores & Adriaan Kalwij, 2013. "What do wages add to the health-employment nexus? Evidence from older European workers," Documentos de trabajo - Analise Economica 0054, IDEGA - Instituto Universitario de Estudios e Desenvolvemento de Galicia.
    8. Paolo Li Donni & Ranjeeta Thomas, 2020. "Latent class models for multiple ordered categorical health data: testing violation of the local independence assumption," Empirical Economics, Springer, vol. 59(4), pages 1903-1931, October.
    9. Juergen Jung, 2022. "Estimating transition probabilities between health states using US longitudinal survey data," Empirical Economics, Springer, vol. 63(2), pages 901-943, August.
    10. Thomas Leoni, 2015. "Soziale Unterschiede in Gesundheit und Inanspruchnahme der Gesundheitsversorgung," WIFO Monatsberichte (monthly reports), WIFO, vol. 88(8), pages 649-662, August.
    11. Anneke Exterkate & Robin L. Lumsdaine, 2011. "How Survey Design Affects Inference Regarding Health Perceptions and Outcomes," NBER Working Papers 17244, National Bureau of Economic Research, Inc.
    12. Chiara Dal Bianco, 2022. "Online Appendix to "Disability Insurance and the Effects of Return-to-work Policies"," Online Appendices 20-49, Review of Economic Dynamics.
    13. Manuel Flores & Melchor Fernández & Yolanda Pena-Boquete, 2020. "The impact of health on wages: evidence from Europe before and during the Great Recession," Oxford Economic Papers, Oxford University Press, vol. 72(2), pages 319-346.
    14. Paul Frijters & David W. Johnston & Michael A. Shields, 2014. "The Effect Of Mental Health On Employment: Evidence From Australian Panel Data," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1058-1071, September.
    15. Riumallo Herl, Carlos & Kabudula, Chodziwadziwa & Kahn, Kathleen & Tollman, Stephen & Canning, David, 2022. "Pension exposure and health: Evidence from a longitudinal study in South Africa," The Journal of the Economics of Ageing, Elsevier, vol. 23(C).
    16. Steven F. Venti, 2014. "Comment on "A Comparison of Different Measures of Health and their Relation to Labor Force Transitions at Older Ages"," NBER Chapters, in: Discoveries in the Economics of Aging, pages 151-156, National Bureau of Economic Research, Inc.
    17. Lumsdaine, Robin L. & Exterkate, Anneke, 2013. "How survey design affects self-assessed health responses in the Survey of Health, Ageing, and Retirement in Europe (SHARE)," European Economic Review, Elsevier, vol. 63(C), pages 299-307.
    18. Michael Grossman, 2022. "The demand for health turns 50: Reflections," Health Economics, John Wiley & Sons, Ltd., vol. 31(9), pages 1807-1822, September.
    19. Alan A Cohen & Qing Li & Emmanuel Milot & Maxime Leroux & Samuel Faucher & Vincent Morissette-Thomas & Véronique Legault & Linda P Fried & Luigi Ferrucci, 2015. "Statistical Distance as a Measure of Physiological Dysregulation Is Largely Robust to Variation in Its Biomarker Composition," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-25, April.
    20. Arie Kapteyn & Erik Meijer, 2014. "A Comparison of Different Measures of Health and their Relation to Labor Force Transitions at Older Ages," NBER Chapters, in: Discoveries in the Economics of Aging, pages 115-150, National Bureau of Economic Research, Inc.
    21. Dal Bianco, Chiara, 2022. "Disability Insurance and the Effects of Return-to-Work Policies," SocArXiv pj8d9, Center for Open Science.

  10. Erik Meijer & Susann Rohwedder & Tom Wansbeek, 2011. "Measurement Error in Earnings Data: Using a Mixture Model Approach to Combine Survey and Register Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 191-201, February.

    Cited by:

    1. Bruce D. Meyer & Nikolas Mittag, 2015. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," Working Papers 15-35, Center for Economic Studies, U.S. Census Bureau.
    2. Paulus, Alari, 2015. "Tax evasion and measurement error: An econometric analysis of survey data linked with tax records," ISER Working Paper Series 2015-10, Institute for Social and Economic Research.

  11. Erik Meijer & Jelmer Ypma, 2008. "A Simple Identification Proof for a Mixture of Two Univariate Normal Distributions," Journal of Classification, Springer;The Classification Society, vol. 25(1), pages 113-123, June.

    Cited by:

    1. Michele Lalla & Maddalena Cavicchioli, 2020. "Nonresponse and measurement errors in income: matching individual survey data with administrative tax data," Department of Economics 0170, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    2. Bettina Grün & Friedrich Leisch, 2008. "Identifiability of Finite Mixtures of Multinomial Logit Models with Varying and Fixed Effects," Journal of Classification, Springer;The Classification Society, vol. 25(2), pages 225-247, November.
    3. Maddalena Cavicchioli & Michele Lalla, 2022. "Evidences from survey data and fiscal data: nonresponse and measurement errors in annual incomes," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(3), pages 587-615, September.
    4. Chao Fu, 2012. "Equilibrium Tuition, Applications, Admissions and Enrollment in the College Market," PIER Working Paper Archive 12-013, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    5. Elena Pastorino, 2012. "Supplementary appendix: Careers in firms: estimating a model of learning, job assignment, and human capital aquisition," Staff Report 470, Federal Reserve Bank of Minneapolis.
    6. Chao Fu, 2012. "Equilibrium Tuition, Applications, Admissions and Enrollment in the College Market," Working Papers 2012-002, Human Capital and Economic Opportunity Working Group.
    7. Chao Fu, 2014. "Equilibrium Tuition, Applications, Admissions, and Enrollment in the College Market," Journal of Political Economy, University of Chicago Press, vol. 122(2), pages 225-281.

  12. Tom Wansbeek & Erik Meijer, 2007. "Comments on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 33-36, May.

    Cited by:

    1. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.

  13. Erik Meijer & Tom Wansbeek, 2007. "The Sample Selection Model from a Method of Moments Perspective," Econometric Reviews, Taylor & Francis Journals, vol. 26(1), pages 25-51.

    Cited by:

    1. Anastasia Semykina & Jeffrey M. Woodridge, 2010. "Estimating Panel Data Models in the Presence of Endogeneity and Selection," Working Papers wp2010_10_01, Department of Economics, Florida State University.
    2. Michael Pfaffermayr, 2014. "A GMM-Based Test for Normal Disturbances of the Heckman Sample Selection Model," Econometrics, MDPI, vol. 2(4), pages 1-18, October.
    3. Mora Rodriguez, Jhon James & Muro, Juan, 2012. "Consistent estimation of pseudo panels in the presence of selection bias," Economics Discussion Papers 2012-26, Kiel Institute for the World Economy (IfW Kiel).
    4. Erik Meijer & Edward Oczkowski & Tom Wansbeek, 2021. "How measurement error affects inference in linear regression," Empirical Economics, Springer, vol. 60(1), pages 131-155, January.
    5. Adeline Delavande & Hans-Peter Kohler, 2012. "The Impact of HIV Testing on Subjective Expectations and Risky Behavior in Malawi," Demography, Springer;Population Association of America (PAA), vol. 49(3), pages 1011-1036, August.
    6. Gad Allon & Sarang Deo & Wuqin Lin, 2013. "The Impact of Size and Occupancy of Hospital on the Extent of Ambulance Diversion: Theory and Evidence," Operations Research, INFORMS, vol. 61(3), pages 544-562, June.
    7. Carri W. Chan & Vivek F. Farias & Gabriel J. Escobar, 2017. "The Impact of Delays on Service Times in the Intensive Care Unit," Management Science, INFORMS, vol. 63(7), pages 2049-2072, July.
    8. Hasebe, Takuya & Vijverberg, Wim P., 2012. "A Flexible Sample Selection Model: A GTL-Copula Approach," IZA Discussion Papers 7003, Institute of Labor Economics (IZA).
    9. Erik Meijer & Arie Kapteyn & Tatiana Andreyeva, 2008. "Health Indexes and Retirement Modeling in International Comparisons," Working Papers WR-614, RAND Corporation.

  14. Erik Meijer & Jan Rouwendal, 2006. "Measuring welfare effects in models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 227-244.
    See citations under working paper version above.
  15. Jakob De Haan & Erik Leertouwer & Erik Meijer & Tom Wansbeek, 2003. "Measuring central bank independence: a latent variables approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(3), pages 326-340, August.

    Cited by:

    1. Erik Leertouwer & Jakob de Haan & Jakob de Haan, 2002. "How to Use Indicators for 'Corporatism' in Empirical Applications," CESifo Working Paper Series 728, CESifo.
    2. Posso, Alberto & Tawadros, George B., 2013. "Does greater central bank independence really lead to lower inflation? Evidence from panel data," Economic Modelling, Elsevier, vol. 33(C), pages 244-247.
    3. Erik Meijer & Edward Oczkowski & Tom Wansbeek, 2021. "How measurement error affects inference in linear regression," Empirical Economics, Springer, vol. 60(1), pages 131-155, January.
    4. Klomp, Jeroen & de Haan, Jakob, 2009. "Is the political system really related to health?," Social Science & Medicine, Elsevier, vol. 69(1), pages 36-46, July.
    5. Andreas Freytag & Simon Renaud, 2007. "From short-term to long-term orientation—political economy of the policy reform process," Journal of Evolutionary Economics, Springer, vol. 17(4), pages 433-449, August.
    6. M. Pilar Muñoz & Cristina Corchero & F.-Javier Heredia, 2013. "Improving Electricity Market Price Forecasting with Factor Models for the Optimal Generation Bid," International Statistical Review, International Statistical Institute, vol. 81(2), pages 289-306, August.
    7. C. Hueng, 2012. "Central Bank Behavior and Statutory Independence," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 40(2), pages 111-126, June.
    8. Jeroen Klomp & Jakob De Haan, 2010. "Inflation And Central Bank Independence: A Meta‐Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 24(4), pages 593-621, September.
    9. Erik Meijer & Susann Rohwedder & Tom Wansbeek, 2008. "Prediction of Latent Variables in a Mixture of Structural Equation Models, with an Application to the Discrepancy Between Survey and Register Data," Working Papers WR-584, RAND Corporation.
    10. Gilbert, Paul D. & Meijer, Erik, 2005. "Time Series Factor Analysis with an Application to Measuring Money," Research Report 05F10, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    11. Weymark, Diana N., 2007. "Inflation, government transfers, and optimal central bank independence," European Economic Review, Elsevier, vol. 51(2), pages 297-315, February.
    12. Philipp F. M. Baumann & Enzo Rossi & Alexander Volkmann, 2020. "What Drives Inflation and How: Evidence from Additive Mixed Models Selected by cAIC," Papers 2006.06274, arXiv.org, revised Aug 2022.
    13. Goran Petrevski & Jane Bogoev & Bruno Sergi, 2012. "The link between central bank independence and inflation in Central and Eastern Europe: are the results sensitive to endogeneity issue omitted dynamics and subjectivity bias?," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 34(4), pages 611-652.

  16. Jan Rouwendal & Erik Meijer, 2001. "Preferences for Housing, Jobs, and Commuting: A Mixed Logit Analysis," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 475-505, August.

    Cited by:

    1. Bhat, Chandra R., 2015. "A comprehensive dwelling unit choice model accommodating psychological constructs within a search strategy for consideration set formation," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 161-188.
    2. Larsen, Morten Marott & Pilegaard, Ninette & Ommeren, Jos Van, 2008. "Congestion and residential moving behaviour," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 378-387, July.
    3. Barrios García, Javier A. & Rodríguez Hernández, José E., 2008. "Housing demand in Spain according to dwelling type: Microeconometric evidence," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 363-377, July.
    4. Chhandita Das & Christopher M. Anderson & Stephen K. Swallow, 2009. "Estimating Distributions of Willingness to Pay for Heterogeneous Populations," Southern Economic Journal, John Wiley & Sons, vol. 75(3), pages 593-610, January.
    5. Chiara Castelli & Angela Parenti, 2020. "Commuting in Europe: An Inter-regional Analysis on its Determinants and Spatial Effects," Working Papers 2020.19, Fondazione Eni Enrico Mattei.
    6. De Vos, Jonas & Witlox, Frank, 2013. "Transportation policy as spatial planning tool; reducing urban sprawl by increasing travel costs and clustering infrastructure and public transportation," Journal of Transport Geography, Elsevier, vol. 33(C), pages 117-125.
    7. Plaut, Pnina O., 2006. "The intra-household choices regarding commuting and housing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 561-571, August.
    8. Jose Alberto Lara-Pulido & Adan L. Martinez-Cruz, 2023. "Stated benefits of teleworking in Mexico City: a discrete choice experiment on office workers," Transportation, Springer, vol. 50(5), pages 1743-1807, October.
    9. Martin Carree & Kristin Kronenberg, 2012. "Locational choices and the costs of distance: empirical evidence for Dutch graduates," ERSA conference papers ersa12p243, European Regional Science Association.
    10. Cécile Détang‐Dessendre & Florence Goffette‐Nagot & Virginie Piguet, 2008. "Life Cycle And Migration To Urban And Rural Areas: Estimation Of A Mixed Logit Model On French Data," Journal of Regional Science, Wiley Blackwell, vol. 48(4), pages 789-824, October.
    11. Carlos Barros & Isabel Proenca & Jose Cabral Vieira, 2005. "Low-wage employment in Portugal: a mixed logit approach," Labor and Demography 0508001, University Library of Munich, Germany.
    12. Jos van Ommeren & Michiel van Leuvensteijn, 2002. "New Evidence of the Effect of Transaction Costs on Residential Mobility," Tinbergen Institute Discussion Papers 02-117/3, Tinbergen Institute.
    13. Schulz, Rainer & Watson, Verity & Wersing, Martin, 2023. "Teleworking and housing demand," Regional Science and Urban Economics, Elsevier, vol. 101(C).
    14. Changdong Ye & Qiluan He & Wanlin Huang & Haitao Ma, 2022. "Analysis of the Spatial Distribution Characteristics of Residences and Workplaces under the Influence of Metro Transportation in Metropolises from the Perspectives of Accessibility and Travelers’ Indu," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    15. Mihails Hazans, 2004. "Does Commuting Reduce Wage Disparities?," Growth and Change, Wiley Blackwell, vol. 35(3), pages 360-390, September.
    16. Zhao, Pengjun & Cao, Yushu, 2020. "Commuting inequity and its determinants in Shanghai: New findings from big-data analytics," Transport Policy, Elsevier, vol. 92(C), pages 20-37.
    17. Elzir Assy, Angela & Ribeiro, Tiago & Robalino, David A. & Rosati, Furio C. & Sanchez Puerta, Maria Laura & Weber, Michael, 2019. "The Jobs That Youth Want and the Support They Need to Get Them: Evidence from a Discrete Choice Experiment in Kenya," IZA Discussion Papers 12864, Institute of Labor Economics (IZA).
    18. Hazans, Mihails, 2003. "Commuting in the Baltic States: Patterns, determinants and gains," ZEI Working Papers B 02-2003, University of Bonn, ZEI - Center for European Integration Studies.
    19. Kamar Ali & M. Rose Olfert & Mark Partridge, 2011. "Urban Footprints in Rural Canada: Employment Spillovers by City Size," Regional Studies, Taylor & Francis Journals, vol. 45(2), pages 239-260.
    20. Motte, Benjamin & Aguilera, Anne & Bonin, Olivier & Nassi, Carlos D., 2016. "Commuting patterns in the metropolitan region of Rio de Janeiro. What differences between formal and informal jobs?," Journal of Transport Geography, Elsevier, vol. 51(C), pages 59-69.
    21. Tae-Kyung Kim & Mark W Horner, 2003. "Exploring Spatial Effects on Urban Housing Duration," Environment and Planning A, , vol. 35(8), pages 1415-1429, August.
    22. Konstantin A. Kholodilin & Mariia A. Maksimova, 2019. "How does subway and ground transit proximity affect rental prices?," HSE Working papers WP BRP 212/EC/2019, National Research University Higher School of Economics.
    23. Anette Haas & Liv Osland, 2014. "Commuting, Migration, Housing and Labour Markets: Complex Interactions," Urban Studies, Urban Studies Journal Limited, vol. 51(3), pages 463-476, February.
    24. Irene Casas & Mei‐Po Kwan, 2007. "The Impact of Real‐Time Information on Choices During the Commute Trip: Evidence from a Travel Simulator," Growth and Change, Wiley Blackwell, vol. 38(4), pages 523-543, December.
    25. Javier A. Barrios Garcia & Jose Enrique Rodriguez Hernandez, 2007. "Housing and Urban Location Decisions in Spain: An Econometric Analysis with Unobserved Heterogeneity," Urban Studies, Urban Studies Journal Limited, vol. 44(9), pages 1657-1676, August.
    26. Taede Tillema & Bert van Wee & Dick Ettema, 2010. "Road Pricing and Relocation Decisions of Dutch Households," Urban Studies, Urban Studies Journal Limited, vol. 47(14), pages 3013-3033, December.
    27. Ng, Chen Feng, 2008. "Commuting distances in a household location choice model with amenities," Journal of Urban Economics, Elsevier, vol. 63(1), pages 116-129, January.
    28. Beck, Matthew J. & Hess, Stephane & Cabral, Manuel Ojeda & Dubernet, Ilka, 2017. "Valuing travel time savings: A case of short-term or long term choices?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 133-143.
    29. Biancamaria Torquati & Giulia Giacchè & Tiziano Tempesta, 2020. "Landscapes and Services in Peri-Urban Areas and Choice of Housing Location: An Application of Discrete Choice Experiments," Land, MDPI, vol. 9(10), pages 1-21, October.
    30. Rid, Wolfgang & Haider, Wolfgang & Ryffel, Andrea & Beardmore, Ben, 2018. "Visualisations in Choice Experiments: Comparing 3D Film-sequences and Still-images to Analyse Housing Development Alternatives," Ecological Economics, Elsevier, vol. 146(C), pages 203-217.
    31. J. Elhorst & Jan Oosterhaven, 2006. "Forecasting the impact of transport improvements on commuting and residential choice," Journal of Geographical Systems, Springer, vol. 8(1), pages 39-59, March.
    32. Joan Moss & Claire Jack & Michael Wallace, 2004. "Employment Location and Associated Commuting Patterns for Individuals in Disadvantaged Rural Areas in Northern Ireland," Regional Studies, Taylor & Francis Journals, vol. 38(2), pages 121-136.
    33. Caplan, Arthur J. & Akhundjanov, Sherzod B. & Toll, Kristopher, 2021. "Measuring heterogeneous preferences for residential amenities," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    34. Carlos Barros, 2012. "Sustainable Tourism in Inhambane-Mozambique," CEsA Working Papers 105, CEsA - Centre for African and Development Studies.
    35. Carlos Pestana Barros & Isabel Proença, 2005. "Mixed Logit Estimation of Radical Islamic Terrorism in Europe and North America," Journal of Conflict Resolution, Peace Science Society (International), vol. 49(2), pages 298-314, April.
    36. Mark D. Partridge & Kamar Ali & M. Rose Olfert, 2010. "Rural‐to‐Urban Commuting: Three Degrees of Integration," Growth and Change, Wiley Blackwell, vol. 41(2), pages 303-335, June.
    37. Susana Peralta, 2007. "Political Support for Tax Decentralization," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 9(6), pages 1013-1030, December.
    38. Elhorst, J. Paul & Oosterhaven, Jan & Romp, Ward E., 2001. "Integral cost-benefit analysis of Maglev technology under market imperfections," Research Report 04C22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    39. Rashidi, Taha Hossein & Mohammadian, Abolfazl (Kouros), 2011. "A dynamic hazard-based system of equations of vehicle ownership with endogenous long-term decision factors incorporating group decision making," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1072-1080.
    40. Ben-Shahar, Danny & Golan, Roni, 2014. "Real estate and personality," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 53(C), pages 111-119.
    41. Tillema, Taede & van Wee, Bert & Ettema, Dick, 2010. "The influence of (toll-related) travel costs in residential location decisions of households: A stated choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 785-796, December.
    42. Isacsson, Gunnar & Swärdh, Jan-Erik, 2007. "An empirical on-the-job search model with preferences for relative earnings: How high is the value of commuting time?," Working Papers 2007:12, Swedish National Road & Transport Research Institute (VTI).
    43. Irwin, Elena G. & Roe, Brian E. & Morrow-Jones, Hazel, 2002. "The Effects Of Farmland, Farmland Preservation And Other Neighborhood Amenities On Proximate Housing Values: Results Of A Conjoint Analysis Of Housing Choice," 2002 Annual meeting, July 28-31, Long Beach, CA 19611, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    44. Garmendia, M. & Ureña, J.M. & Coronado, J.M., 2011. "Long-distance trips in a sparsely populated region: The impact of high-speed infrastructures," Journal of Transport Geography, Elsevier, vol. 19(4), pages 537-551.
    45. Castelli, Chiara & Parenti, Angela, 2020. "Commuting in Europe: An Inter-regional Analysis on its Determinants and Spatial Effects," 2030 Agenda 307985, Fondazione Eni Enrico Mattei (FEEM).
    46. Jan Oosterhaven & J. Paul Elhorst, 2003. "Effects of Transport Improvements on Commuting and Residential Choice," ERSA conference papers ersa03p29, European Regional Science Association.

  17. Wansbeek, Tom & Wedel, Michel & Meijer, Erik, 2001. "Comment on "Microeconometrics" by J.A. Hausman," Journal of Econometrics, Elsevier, vol. 100(1), pages 89-91, January.

    Cited by:

    1. Boter, Jaap & Rouwendal, Jan & Wedel, Michel, 2004. "Employing Travel Costs to Compare the Use Value of Competing Cultural Organizations," Serie Research Memoranda 0011, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.

  18. Meijer, Erik & Wansbeek, Tom, 2000. "Measurement error in a single regressor," Economics Letters, Elsevier, vol. 69(3), pages 277-284, December.
    See citations under working paper version above.
  19. Erik Meijer & Tom Wansbeek, 1999. "Quadratic prediction of factor scores," Psychometrika, Springer;The Psychometric Society, vol. 64(4), pages 495-507, December.

    Cited by:

    1. Wim Krijnen, 2002. "On the construction of all factors of the model for factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 67(1), pages 161-172, March.
    2. Gilbert, Paul D. & Meijer, Erik, 2005. "Time Series Factor Analysis with an Application to Measuring Money," Research Report 05F10, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

Chapters

  1. Arie Kapteyn & Erik Meijer, 2014. "A Comparison of Different Measures of Health and their Relation to Labor Force Transitions at Older Ages," NBER Chapters, in: Discoveries in the Economics of Aging, pages 115-150, National Bureau of Economic Research, Inc.

    Cited by:

    1. Pamela Giustinelli & Matthew D. Shapiro, 2018. "SeaTE: Subjective ex ante Treatment Effect of Health on Retirement," Working Papers wp382, University of Michigan, Michigan Retirement Research Center.
    2. Ludovico Carrino & Cristina Elisa Orso & Giacomo Pasini, 2018. "Demand of long‐term care and benefit eligibility across European countries," Health Economics, John Wiley & Sons, Ltd., vol. 27(8), pages 1175-1188, August.
    3. Alan L. Gustman & Thomas L. Steinmeier, 2014. "The Role of Health in Retirement," NBER Working Papers 19902, National Bureau of Economic Research, Inc.
    4. Enrica Croda & Jonathan Skinner & Laura Yasaitis, 2018. "The Health of Disability Insurance Enrollees: An International Comparison," Working Papers 2018:28, Department of Economics, University of Venice "Ca' Foscari".
    5. van Ooijen, R. & Alessi, R. & Knoef, M., 2015. "Health status over the life cycle," Health, Econometrics and Data Group (HEDG) Working Papers 15/21, HEDG, c/o Department of Economics, University of York.

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