IDEAS home Printed from https://ideas.repec.org/f/c/pha1166.html
   My authors  Follow this author

Matthew C. Harding

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. Kenneth Gillingham, Matthew Harding, and David Rapson, 2012. "Split Incentives in Residential Energy Consumption," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).

    Mentioned in:

    1. Eficiencia y equidad y las medidas de mejora energética de las edificaciones
      by Ana Ramos in Economics for Energy on 2012-03-16 14:29:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Matthew Harding & Ephraim Leibtag & Michael F. Lovenheim, 2012. "The Heterogeneous Geographic and Socioeconomic Incidence of Cigarette Taxes: Evidence from Nielsen Homescan Data," American Economic Journal: Economic Policy, American Economic Association, vol. 4(4), pages 169-198, November.

    Mentioned in:

    1. The Heterogeneous Geographic and Socioeconomic Incidence of Cigarette Taxes- Evidence from Nielsen Homescan Data (American Economic Journal: Economic Policy 2012) in ReplicationWiki ()

Working papers

  1. Matthew C. Harding & Jerry Hausman & Christopher Palmer, 2015. "Finite sample bias corrected IV estimation for weak and many instruments," CeMMAP working papers CWP41/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.

  2. Matthew Harding & Michael Lovenheim, 2014. "The Effect of Prices on Nutrition: Comparing the Impact of Product- and Nutrient-Specific Taxes," Discussion Papers 13-023, Stanford Institute for Economic Policy Research.

    Cited by:

    1. O’Connell, Martin & Smith, Kate & Stroud, Rebekah, 2022. "The dietary impact of the COVID-19 pandemic," Journal of Health Economics, Elsevier, vol. 84(C).
    2. Jonathan Hersh & Matthew Harding, 2018. "Big Data in economics," IZA World of Labor, Institute of Labor Economics (IZA), pages 451-451, September.
    3. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2017. "How well targeted are soda taxes?," CEPR Discussion Papers 12484, C.E.P.R. Discussion Papers.
    4. Zhen, Chen & Chen, Yu & Lin, Biing-Hwan & Karns, Shawn & Mancino, Lisa & Ver Ploeg, Michele, 2021. "Do Obese and Nonobese Consumers Respond Differently to Price Changes? Implications of Preference Heterogeneity for Using Food Taxes and Subsidies to Reduce Obesity," MPRA Paper 112697, University Library of Munich, Germany.
    5. Vall Castelló, Judit & Lopez Casasnovas, Guillem, 2020. "Impact of SSB taxes on sales," Economics & Human Biology, Elsevier, vol. 36(C).
    6. Zarko Kalamov, 2020. "A sales tax is better at promoting healthy diets than the fat tax and the thin subsidy," Health Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 353-366, March.
    7. Jensen, Henning Tarp & Keogh-Brown, Marcus R. & Shankar, Bhavani & Aekplakorn, Wichai & Basu, Sanjay & Cuevas, Soledad & Dangour, Alan D. & Gheewala, Shabbir H. & Green, Rosemary & Joy, Edward J.M. & , 2019. "Palm oil and dietary change: Application of an integrated macroeconomic, environmental, demographic, and health modelling framework for Thailand," Food Policy, Elsevier, vol. 83(C), pages 92-103.
    8. Etilé, F.; & Lecocq, S.; & Boizot-Szantaï, C.;, 2018. "The Incidence of Soft-Drink Taxes on Consumer Prices and Welfare:Evidence from the French “Soda Taxâ€," Health, Econometrics and Data Group (HEDG) Working Papers 18/13, HEDG, c/o Department of Economics, University of York.
    9. Zarko Kalamov, 2021. "Evaluating Marginal Internalities: A New Approach," CESifo Working Paper Series 9476, CESifo.
    10. Biondi, Beatrice & Cornelsen, Laura & Mazzocchi, Mario & Smith, Richard, 2020. "Between preferences and references: Asymmetric price elasticities and the simulation of fiscal policies," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 108-128.
    11. Pourya Valizadeh & Travis A. Smith & Michele Ver Ploeg, 2021. "Do SNAP Households Pay Different Prices throughout the Benefit Month?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(3), pages 1051-1075, September.
    12. Anikó Bíró, 2021. "The impact of sweet food tax on producers and household spending—Evidence from Hungary," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 545-559, July.
    13. Pourya Valizadeh & Shu Wen Ng, 2021. "Would A National Sugar‐Sweetened Beverage Tax in the United States Be Well Targeted?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 961-986, May.
    14. Marit Hinnosaar, 2023. "The Persistence of Healthy Behaviors in Food Purchasing," Marketing Science, INFORMS, vol. 42(3), pages 521-537, May.
    15. Jessie Handbury & Ilya Rahkovsky & Molly Schnell, 2015. "Is the Focus on Food Deserts Fruitless? Retail Access and Food Purchases Across the Socioeconomic Spectrum," NBER Working Papers 21126, National Bureau of Economic Research, Inc.
    16. O'Connell, Martin & Smith, Kate, 2020. "Corrective Tax Design and Market Power," CEPR Discussion Papers 14582, C.E.P.R. Discussion Papers.
    17. Fabrice Etilé, 2019. "The Economics of Diet and Obesity: Public Policy," Post-Print hal-02154445, HAL.
    18. Wenying Li & Jeffrey H. Dorfman, 2021. "Intrahousehold Economies of Scale with Application to Food Assistance and Work Incentive Programs," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1251-1267, August.
    19. Richard Tiffin & Ariane Kehlbacher & Matthew Salois, 2015. "The Effects of A Soft Drink Tax in the UK," Health Economics, John Wiley & Sons, Ltd., vol. 24(5), pages 583-600, May.
    20. Martin O'Connell & Kate Smith, 2021. "Optimal sin taxation and market power," IFS Working Papers W21/30, Institute for Fiscal Studies.
    21. Cremer, Helmuth & Goulão, Catarina & Roeder, Kerstin, 2015. "Earmarking and the political support of fat taxes," IDEI Working Papers 855, Institut d'Économie Industrielle (IDEI), Toulouse.
    22. Juan Carlos Caro & Pourya Valizadeh & Alejandrina Correa & Andres Silva & Shu Wen Ng, 2020. "Combined fiscal policies to promote healthier diets: Effects on purchases and consumer welfare," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-23, January.
    23. Rachel Griffith & Martin O'Connell & Kate Smith, 2017. "The Importance of Product Reformulation Versus Consumer Choice in Improving Diet Quality," Economica, London School of Economics and Political Science, vol. 84(333), pages 34-53, January.
    24. Alberto Pench, 0. "Time Allocation and Snacks and Sugar Sweetened Beverages Taxation," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 0, pages 1-24.
    25. Valerio Serse, 2019. "Do Sugar Taxes affect the right consumers?," 2019 Papers pse633, Job Market Papers.
    26. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    27. Jaya Jumrani & J. V. Meenakshi, 2023. "How effective is a fat subsidy? Evidence from edible oil consumption in India," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 327-348, June.
    28. Cornelsen, Laura & Mazzocchi, Mario & Smith, Richard D., 2019. "Fat tax or thin subsidy? How price increases and decreases affect the energy and nutrient content of food and beverage purchases in Great Britain," Social Science & Medicine, Elsevier, vol. 230(C), pages 318-327.
    29. Zarko Y. Kalamov & Marco Runkel, 2022. "Taxation of unhealthy food consumption and the intensive versus extensive margin of obesity," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(5), pages 1294-1320, October.
    30. Victor Chernozhukov & Jerry A. Hausman & Whitney K. Newey, 2019. "Demand Analysis with Many Prices," NBER Working Papers 26424, National Bureau of Economic Research, Inc.
    31. Laura Cornelsen & Matthew Quaife & Mylene Lagarde & Richard D. Smith, 2020. "Framing and signalling effects of taxes on sugary drinks: A discrete choice experiment among households in Great Britain," Health Economics, John Wiley & Sons, Ltd., vol. 29(10), pages 1132-1147, October.
    32. Alberto Pench, 2020. "Time Allocation and Snacks and Sugar Sweetened Beverages Taxation," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(3), pages 469-492, November.
    33. Blake, Miranda R. & Lancsar, Emily & Peeters, Anna & Backholer, Kathryn, 2019. "Sugar-sweetened beverage price elasticities in a hypothetical convenience store," Social Science & Medicine, Elsevier, vol. 225(C), pages 98-107.
    34. Abi-Rafeh, Rossi & Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2023. "The Effects of Sin Taxes and Advertising Restrictions in a Dynamic Equilibrium," CEPR Discussion Papers 18527, C.E.P.R. Discussion Papers.
    35. Aguilar, Arturo & Gutierrez, Emilio & Seira, Enrique, 2021. "The effectiveness of sin food taxes: Evidence from Mexico," Journal of Health Economics, Elsevier, vol. 77(C).
    36. Ariane Kehlbacher & Richard Tiffin & Adam Briggs & Mike Berners-Lee & Peter Scarborough, 2016. "The distributional and nutritional impacts and mitigation potential of emission-based food taxes in the UK," Climatic Change, Springer, vol. 137(1), pages 121-141, July.
    37. Hasan, Syed & Ratna, Nazmun & Shakur, Shamim, 2019. "Exchange rate, remittances and expenditure of foreign-born households: evidence from Australia," GLO Discussion Paper Series 331, Global Labor Organization (GLO).
    38. Syed Hasan & Mathias Sinning, 2018. "GST Reform in Australia: Implications of Estimating Price Elasticities of Demand for Food," The Economic Record, The Economic Society of Australia, vol. 94(306), pages 239-254, September.
    39. Carolina Caetano & Gregorio Caetano & Hao Fe & Eric R. Nielsen, 2021. "A Dummy Test of Identification in Models with Bunching," Finance and Economics Discussion Series 2021-068, Board of Governors of the Federal Reserve System (U.S.).
    40. Lionel Cosnard, 2019. "Taxing Sugar and Sugary Products to Reduce Obesity: A CGE Assessment of Several Tax Policies," Post-Print hal-03148821, HAL.
    41. Gonçalves, Judite & Pereira dos Santos, João, 2020. "Brown sugar, how come you taste so good? The impact of a soda tax on prices and consumption," Social Science & Medicine, Elsevier, vol. 264(C).
    42. Shewmake, Sharon & Okrent, Abigail & Thabrew, Lanka & Vandenbergh, Michael, 2015. "Predicting consumer demand responses to carbon labels," Ecological Economics, Elsevier, vol. 119(C), pages 168-180.
    43. Alyssa J. Moran & Yuxuan Gu & Sasha Clynes & Attia Goheer & Christina A. Roberto & Anne Palmer, 2020. "Associations between Governmental Policies to Improve the Nutritional Quality of Supermarket Purchases and Individual, Retailer, and Community Health Outcomes: An Integrative Review," IJERPH, MDPI, vol. 17(20), pages 1-23, October.
    44. Jason M. Fletcher & David E. Frisvold & Nathan Tefft, 2015. "Non‐Linear Effects of Soda Taxes on Consumption and Weight Outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 24(5), pages 566-582, May.
    45. Cosnard, Lionel & Laborde, David, 2019. "Taxing Sugar and Sugary Products to Reduce Obesity: A CGE Assessment of Several Tax Policies," Conference papers 333067, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    46. Paul Calcott & Vladimir Petkov, 2023. "Choosing between imperfect proxies for a corrective tax," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 25(2), pages 245-275, April.
    47. Harris-Lagoudakis, Katherine, 2023. "The effect of online shopping channels on brand choice, product exploration and price elasticities," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    48. Gračner, Tadeja & Kapinos, Kandice A. & Gertler, Paul J., 2022. "Associations of a national tax on non-essential high calorie foods with changes in consumer prices," Food Policy, Elsevier, vol. 106(C).
    49. Di Cosmo, Valeria & Tiezzi, Silvia, 2023. "Let them Eat Cake? The Net Consumer Welfare Impact of Sin Taxes," MPRA Paper 116214, University Library of Munich, Germany.
    50. Fabrice Etilé & Sebastien Lecocq & Christine Boizot-Szantai, 2018. "The Incidence of Soft-Drink Taxes on Consumer Prices and Welfare: Evidence from the French " Soda Tax"," PSE Working Papers halshs-01808198, HAL.
    51. Rachel Griffith & Victoria Jenneson & Joseph James & Anna Taylor, 2021. "The impact of a tax on added sugar and salt," IFS Working Papers W21/21, Institute for Fiscal Studies.
    52. Lin, Xirong, 2023. "Food demand and cash transfers: A collective household approach with Homescan data," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 233-259.
    53. Gračner, Tadeja, 2021. "Bittersweet: How prices of sugar-rich foods contribute to the diet-related disease epidemic in Mexico," Journal of Health Economics, Elsevier, vol. 80(C).
    54. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2020. "Parents' Demand for Sugar Sweetened Beverages for Their Pre‐School Children: Evidence from a Stated‐Preference Experiment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 480-504, March.
    55. David Bishai, 2015. "Generalized Nutrient Taxes Can Increase Consumer Welfare," Health Economics, John Wiley & Sons, Ltd., vol. 24(11), pages 1517-1522, November.

  3. Matthew Harding & Alice Hsiaw, 2014. "Goal Setting and Energy Conservation," Working Papers 1403, College of the Holy Cross, Department of Economics, revised Aug 2014.

    Cited by:

    1. Gilbert, Ben & Graff Zivin, Joshua, 2014. "Dynamic salience with intermittent billing: Evidence from smart electricity meters," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 176-190.
    2. Soetevent, Adriaan & Adikyan, Sargis, 2018. "The Impact of Short-Term Goals on Long-Term Objectives," Research Report 2018002, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    3. Bettina Chlond & Timo Goeschl & Martin Kesternich, 2022. "More Money or Better Procedures? Evidence from an Energy Efficiency Assistance Program," MAGKS Papers on Economics 202225, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    4. Joshua Graff Zivin and Kevin Novan, 2016. "Upgrading Efficiency and Behavior: Electricity Savings from Residential Weatherization Programs," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    5. Nathalie Lazaric & Mira Toumi, 2022. "Reducing consumption of electricity: A field experiment in Monaco with boosts and goal setting," Post-Print halshs-03402212, HAL.
    6. Michael Price, 2015. "Using Field Experiments to Address Environmental Externalities and Resource Scarcity: Major Lessons Learned and New Directions for Future Research," NBER Working Papers 20870, National Bureau of Economic Research, Inc.
    7. Damon Clark & David Gill & Victoria Prowse & Mark Rush, 2020. "Using Goals to Motivate College Students: Theory and Evidence From Field Experiments," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 648-663, October.
    8. Chatzigeorgiou, I.M. & Andreou, G.T., 2021. "A systematic review on feedback research for residential energy behavior change through mobile and web interfaces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    9. Shah,Manisha & Seager,Jennifer & Montalvao Machado,Joao H. C. & Goldstein,Markus P., 2022. "Two Sides of Gender : Sex, Power, and Adolescence," Policy Research Working Paper Series 10072, The World Bank.
    10. Schleich, Joachim & Alsheimer, Sven, 2024. "The relationship between willingness to pay and carbon footprint knowledge: Are individuals willing to pay more to offset their carbon footprint if they learn about its size and distance to the 1.5 °C," Ecological Economics, Elsevier, vol. 219(C).
    11. Omar Isaac Asensio & Magali A Delmas, 2016. "The dynamics of behavior change: Evidence from energy conservation," Natural Field Experiments 00636, The Field Experiments Website.
    12. Datta,Saugato & Miranda Montero,Juan Jose & Zoratto,Laura De Castro & Calvo-Gonzalez,Oscar & Darlingm,Matthew & Lorenzana,Karina Josephine Orduna, 2015. "A behavioral approach to water conservation: evidence from Costa Rica," Policy Research Working Paper Series 7283, The World Bank.
    13. Burdina, Mariya & Hiller, R. Scott & Metz, Neil E., 2017. "Goal attainability and performance: Evidence from Boston marathon qualifying standards," Journal of Economic Psychology, Elsevier, vol. 58(C), pages 77-88.
    14. Cardella, Eric & Ewing, Brad & Williams, Ryan Blake, 2018. "Green is Good – The Impact of Information Nudges on the Adoption of Voluntary Green Power Plans," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266583, Southern Agricultural Economics Association.
    15. Kene Boun My & Benjamin Ouvrard, 2017. "Nudge and Tax in an Environmental Public Goods Experiment: Does Environmental Sensitivity Matter?," Working Papers of BETA 2017-06, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    16. Fenella Carpena & Shawn Cole & Jeremy Shapiro & Bilal Zia, 2019. "The ABCs of Financial Education: Experimental Evidence on Attitudes, Behavior, and Cognitive Biases," Management Science, INFORMS, vol. 65(1), pages 346-369, January.
    17. Ahuja, Jaya & Puppala, Harish, 2024. "Workplace energy conservation index (WECI): A tool for attaining energy conservation at workplace," Energy, Elsevier, vol. 286(C).
    18. Andrieş, Alin Marius & Walker, Sarah, 2023. "When the message hurts: The unintended impacts of nudges on saving," Journal of Comparative Economics, Elsevier, vol. 51(2), pages 439-456.
    19. Andor, Mark A. & Gerster, Andreas & Peters, Jörg & Schmidt, Christoph M., 2018. "Social Norms and Energy Conservation Beyond the US," EfD Discussion Paper 18-16, Environment for Development, University of Gothenburg.
    20. Buckley, Penelope & Llerena, Daniel, 2022. "Nudges and peak pricing: A common pool resource energy conservation experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).
    21. Laura Abrardi, 2019. "Behavioral barriers and the energy efficiency gap: a survey of the literature," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(1), pages 25-43, March.
    22. Young, Benjamin, 2024. "Expectations or rational expectations? A theory of systematic goal deviation," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 25-37.
    23. Jakob Enlund & David Andersson & Fredrik Carlsson, 2023. "Individual Carbon Footprint Reduction: Evidence from Pro-environmental Users of a Carbon Calculator," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(3), pages 433-467, November.
    24. Hailey Hayeon Joo & Jungmin Lee & Sangkon Park, 2018. "Every Drop Counts: A Water Conservation Experiment With Hotel Guests," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1788-1808, July.
    25. Koch, Alexander K. & Nafziger, Julia, 2020. "Motivational goal bracketing: An experiment," Journal of Economic Theory, Elsevier, vol. 185(C).
    26. Ho, Thong & Nie, Zihan & Alpizar, Francisco & Carlsson, Fredrik & Khanh Nam, Pham, 2020. "Celebrity Endorsement in Promoting Pro-Environmental Behavior," Working Papers in Economics 795, University of Gothenburg, Department of Economics.
    27. Saunders, Harry D. & Roy, Joyashree & Azevedo, Inês M.L. & Chakravarty, Debalina & Dasgupta, Shyamasree & De La Rue Du Can, Stephane & Druckman, Angela & Fouquet, Roger & Grubb, Michael & Lin, Boqiang, 2021. "Energy efficiency: what has research delivered in the last 40 years?," LSE Research Online Documents on Economics 114344, London School of Economics and Political Science, LSE Library.
    28. Wichman, Casey J., 2016. "Information Provision and Consumer Behavior: A Natural Experiment in Billing Frequency," RFF Working Paper Series dp-15-35-rev, Resources for the Future.
    29. Sanjit Dhami & Narges Hajimoladarvish & Pavan Mamidi, 2023. "Climate Change Risk, and Human Behavior: Theory and Evidence," CESifo Working Paper Series 10678, CESifo.
    30. Uros Tomic & Corinne Moser & Yann Blumer & Michael Stauffacher & Roman Seidl, 2020. "Exploring the role of positive direct experience in the adoption of energy efficient technologies: evidence from a Swiss field study on the promotion of low-flow showerheads," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-18, March.
    31. Omar Isaac Asensio & Camila Z. Apablaza & M. Cade Lawson & Sarah Elizabeth Walsh, 2022. "A field experiment on workplace norms and electric vehicle charging etiquette," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 183-196, February.
    32. Jonas Pilgaard Kaiser & Alexander K. Koch & Julia Nafziger, 2024. "Does goal revision undermine self-regulation through goals? An experiment," Experimental Economics, Springer;Economic Science Association, vol. 27(3), pages 604-636, July.
    33. Cristina Cattaneo, 2018. "Internal and External Barriers to Energy Efficiency: Made-to-Measure Policy Interventions," Working Papers 2018.08, Fondazione Eni Enrico Mattei.
    34. Syon Bhanot, 2017. "Rank and response: A field experiment on peer information and water use behavior," Natural Field Experiments 00655, The Field Experiments Website.
    35. Massimo Filippini & Nilkanth Kumar & Suchita Srinivasan, 2021. "Behavioral Anomalies and Fuel Efficiency: Evidence from Motorcycles in Nepal," CER-ETH Economics working paper series 21/353, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    36. Werthschulte, Madeline & Löschel, Andreas, 2021. "On the role of present bias and biased price beliefs in household energy consumption," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    37. Kast, Felipe & Meier, Stephan & Pomeranz, Dina, 2018. "Saving more in groups: Field experimental evidence from Chile," Journal of Development Economics, Elsevier, vol. 133(C), pages 275-294.
    38. Wichman, Casey J., 2016. "Incentives, Green Preferences, and Private Provision of Impure Public Goods," RFF Working Paper Series dp-16-08, Resources for the Future.
    39. B. T. Seger & J. Burkhardt & F. Straub & S. Scherz & G. Nieding, 2023. "Reducing the Individual Carbon Impact of Video Streaming: A Seven-Week Intervention Using Information, Goal Setting, and Feedback," Journal of Consumer Policy, Springer, vol. 46(2), pages 137-153, June.
    40. Kenneth Gillingham & Bryan Bollinger, 2020. "Social Learning and Solar Photovoltaic Adoption," CESifo Working Paper Series 8434, CESifo.
    41. Nathalie Lazaric & Mira Toumi, 2021. "Boosting Citizens Towards Reduced Energy Consumption: A Field Experiment in the Principality of Monaco," GREDEG Working Papers 2021-17, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    42. Rocha, Marta & Baddeley, Michelle & Pollitt, Michael & Weeks, Melvyn, 2019. "Addressing self-disconnection among prepayment energy consumers: A behavioural approach," Energy Economics, Elsevier, vol. 81(C), pages 273-286.
    43. Gill, Carrie & Lang, Corey, 2018. "Learn to conserve: The effects of in-school energy education on at-home electricity consumption," Energy Policy, Elsevier, vol. 118(C), pages 88-96.
    44. Löschel, Andreas & Rodemeier, Matthias & Werthschulte, Madeline, 2023. "Can self-set goals encourage resource conservation? Field experimental evidence from a smartphone app," European Economic Review, Elsevier, vol. 160(C).
    45. Rita Abdel Sater, 2021. "Essays on the application of behavioural insights to environmental policy [Essais sur l’application des connaissances comportementales aux politiques environnementales]," SciencePo Working papers Main tel-03450909, HAL.
    46. Choi, Sunghee & Hwang, Seok-Joon & Denzau, Arthur T., 2021. "Do households conserve electricity when they receive signals of greater consumption than neighbours? The Korean case," Energy, Elsevier, vol. 225(C).
    47. Mahmoodi, Jasmin & Prasanna, Ashreeta & Hille, Stefanie & Patel, Martin K. & Brosch, Tobias, 2018. "Combining “carrot and stick” to incentivize sustainability in households," Energy Policy, Elsevier, vol. 123(C), pages 31-40.
    48. Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    49. Guo, Zhifeng & Zhou, Kaile & Zhang, Chi & Lu, Xinhui & Chen, Wen & Yang, Shanlin, 2018. "Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 399-412.
    50. Schleich, Joachim & Alsheimer, Sven, 2022. "How much are individuals willing to pay to offset their carbon footprint? The role of information disclosure and social norms," Working Papers "Sustainability and Innovation" S10/2022, Fraunhofer Institute for Systems and Innovation Research (ISI).
    51. Leonhard K. Lades & Ewa Zawojska & Robert J. Johnston & Nick Hanley & Liam Delaney & Mikołaj Czajkowski, 2022. "Anomalies or Expected Behaviors? Understanding Stated Preferences and Welfare Implications in Light of Contemporary Behavioral Theory," Working Papers 2022-20, Faculty of Economic Sciences, University of Warsaw.
    52. Mathijs Ambaum & Rense Corten & Mattijs Lambooij & Monique van der Aa & Frenk van Harreveld & Vincent Buskens, 2024. "Determinants of Long-Term Water and Energy Conservation Behavior: An Integrated Review," Sustainability, MDPI, vol. 16(11), pages 1-17, May.
    53. Stojanovski, Ognen & Leslie, Gordon W. & Wolak, Frank A. & Huerta Wong, Juan Enrique & Thurber, Mark C., 2020. "Increasing the energy cognizance of electricity consumers in Mexico: Results from a field experiment," Journal of Environmental Economics and Management, Elsevier, vol. 102(C).
    54. Qin, Botao & Xie, Siyuan & Xu, Chenyang, 2024. "Honor, Goal Setting, and Energy Conservation: Evidence from a Field Experiment in Student Dormitories," MPRA Paper 120869, University Library of Munich, Germany.
    55. Nafziger, Julia & Kaiser, Jonas P. & Koch, Alexander K, 2021. "Self-Set Goals Are Effective Self-Regulation Tools -- Despite Goal Revision," CEPR Discussion Papers 15716, C.E.P.R. Discussion Papers.
    56. Lin, Boqiang & Zhu, Penghu, 2021. "Has increasing block pricing policy been perceived in China? Evidence from residential electricity use," Energy Economics, Elsevier, vol. 94(C).
    57. González-Jiménez, Víctor, 2024. "Incentive design for reference-dependent preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 493-518.
    58. Fanghella, Valeria & Ploner, Matteo & Tavoni, Massimo, 2021. "Energy saving in a simulated environment: An online experiment of the interplay between nudges and financial incentives," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    59. James Fan & Joaquín Gómez‐Miñambres & Samuel Smithers, 2020. "Make it too difficult, and I'll give up; let me succeed, and I'll excel: The interaction between assigned and personal goals," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 964-975, September.
    60. Miyeon Jung & Daegon Cho & Euncheol Shin, 2021. "Repairing a Cracked Mirror: The Heterogeneous Effect of Personalized Digital Nudges Driven by Misperception," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2586-2607, August.
    61. Cl'emence Alasseur & Ivar Ekeland & Romuald Elie & Nicol'as Hern'andez Santib'a~nez & Dylan Possamai, 2017. "An adverse selection approach to power pricing," Papers 1706.01934, arXiv.org, revised Sep 2019.
    62. Soetevent, Adriaan R., 2022. "Short run reference points and long run performance. (No) Evidence from running data," Journal of Economic Psychology, Elsevier, vol. 89(C).
    63. Penelope Buckley & Daniel Llerena, 2022. "Nudges and peak pricing: A common pool resource energy conservation experiment," Post-Print hal-03765755, HAL.
    64. Brandsma, Jeroen S. & Blasch, Julia E., 2019. "One for all? – The impact of different types of energy feedback and goal setting on individuals’ motivation to conserve electricity," Energy Policy, Elsevier, vol. 135(C).
    65. Andor, Mark A. & Fels, Katja M., 2018. "Behavioral Economics and Energy Conservation – A Systematic Review of Non-price Interventions and Their Causal Effects," Ecological Economics, Elsevier, vol. 148(C), pages 178-210.

  4. Harding, Matthew & Lamarche, Carlos, 2013. "Penalized Quantile Regression with Semiparametric Correlated Effects: Applications with Heterogeneous Preferences," IZA Discussion Papers 7741, Institute of Labor Economics (IZA).

    Cited by:

    1. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, Institute of Labor Economics (IZA).
    2. Xin Liu, 2024. "A quantile-based nonadditive fixed effects model," Papers 2405.03826, arXiv.org.
    3. Matthew Harding & Carlos Lamarche, 2018. "A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment," Papers 1808.03364, arXiv.org.
    4. Yu, Lu & Gu, Jiaying & Volgushev, Stanislav, 2024. "Spectral clustering with variance information for group structure estimation in panel data," Journal of Econometrics, Elsevier, vol. 241(1).
    5. Al Rababa'a, Abdel Razzaq & Alomari, Mohammad & Mensi, Walid & Matar, Ali & Saidat, Zaid, 2021. "Does tracking the infectious diseases impact the gold, oil and US dollar returns and correlation? A quantile regression approach," Resources Policy, Elsevier, vol. 74(C).
    6. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
    7. Liyun Zhou & Weinan Lin & Chunpeng Yang, 2024. "Investor trading behavior and asset prices: Evidence from quantile regression analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1722-1744, April.
    8. Battagliola, Maria Laura & Sørensen, Helle & Tolver, Anders & Staicu, Ana-Maria, 2022. "A bias-adjusted estimator in quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 23(C), pages 165-186.
    9. Carlos Lamarche & Thomas Parker, 2022. "Wild Bootstrap Inference For Penalized Quantile Regression For Longitudinal Data," Working Papers 22003 Classification-C15,, University of Waterloo, Department of Economics.
    10. Jiaying Gu & Stanislav Volgushev, 2018. "Panel Data Quantile Regression with Grouped Fixed Effects," Papers 1801.05041, arXiv.org, revised Aug 2018.
    11. Zongwu Cai & Meng Shi & Yue Zhao & Wuqing Wu, 2020. "Testing Financial Hierarchy Based on A PDQ-CRE Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202011, University of Kansas, Department of Economics, revised Jul 2020.
    12. Alomari, Mohammad & Al Rababa'a, Abdel Razzaq & Ur Rehman, Mobeen & Power, David M., 2022. "Infectious diseases tracking and sectoral stock market returns: A quantile regression analysis," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    13. Panayiotis Tzeremes, 2022. "The Asymmetric Effects of Regional House Prices in the UK: New Evidence from Panel Quantile Regression Framework," Studies in Microeconomics, , vol. 10(1), pages 7-22, June.
    14. Gu, Jiaying & Volgushev, Stanislav, 2019. "Panel data quantile regression with grouped fixed effects," Journal of Econometrics, Elsevier, vol. 213(1), pages 68-91.

  5. Harding, Matthew & Lamarche, Carlos, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, Institute of Labor Economics (IZA).

    Cited by:

    1. Demetrescu, Matei & Hosseinkouchack, Mehdi & Rodrigues, Paulo M. M., 2023. "Tests of no cross-sectional error dependence in panel quantile regressions," Ruhr Economic Papers 1041, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Gaglianone, Wagner Piazza & Guillén, Osmani Teixeira de Carvalho & Figueiredo, Francisco Marcos Rodrigues, 2018. "Estimating inflation persistence by quantile autoregression with quantile-specific unit roots," Economic Modelling, Elsevier, vol. 73(C), pages 407-430.
    3. Jonathan R. W. Temple & Nicolas Van de Sijpe, 2014. "Foreign Aid and Domestic Absorption," CSAE Working Paper Series 2014-01, Centre for the Study of African Economies, University of Oxford.
    4. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, Institute of Labor Economics (IZA).
    5. Dai, Jiawa & Feng, Yuchen & Wang, Ziuqing & Yuan, Guang, 2021. "Does higher market power necessarily reduce efficiency? Evidence from Chinese rice processing enterprises," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(1).
    6. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers 34/16, Institute for Fiscal Studies.
    7. Nadine Levratto & Aziza Garsaa & Luc Tessier, 2013. "To what extent do exemptions from social security contributions affect firm growth? New evidence using quantile estimations on panel data," Working Papers hal-00833049, HAL.
    8. Galina Besstremyannaya & Sergei Golovan, 2023. "Measuring heterogeneity in hospital productivity: a quantile regression approach," Journal of Productivity Analysis, Springer, vol. 59(1), pages 15-43, February.
    9. Lena Boneva (Körber) & Oliver Linton, 2017. "A discrete choice model for large heterogeneous panels with interactive fixed effects with an application to the determinants of corporate bond issuance," CeMMAP working papers CWP02/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Badi Baltagi & Peter Egger, 2016. "Estimation of structural gravity quantile regression models," Empirical Economics, Springer, vol. 50(1), pages 5-15, February.
    11. Artūras Juodis, 2022. "A regularization approach to common correlated effects estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 788-810, June.
    12. Simplice A. Asongu & Jacinta C. Nwachukwu, 2016. "Welfare Spending and Quality of Growth in Developing Countries: A Note on Evidence from Hopefuls, Contenders and Best Performers," Research Africa Network Working Papers 16/028, Research Africa Network (RAN).
    13. Dolado, Juan J & Chen, Liang & Gonzalo, Jesus, 2018. "Quantile Factor Models," CEPR Discussion Papers 12716, C.E.P.R. Discussion Papers.
    14. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Working Papers IES 2017/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
    15. Matthew Harding & Carlos Lamarche, 2018. "A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment," Papers 1808.03364, arXiv.org.
    16. Nadine Levratto & Aziza Garsaa & Luc Tessier, 2013. "La Corse est-elle soluble dans le modèle méditerranéen ?," Working Papers hal-00842059, HAL.
    17. Harding, Matthew & Lamarche, Carlos, 2014. "A Hausman–Taylor instrumental variable approach to the penalized estimation of quantile panel models," Economics Letters, Elsevier, vol. 124(2), pages 176-179.
    18. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
    19. Forchini Giovanni & Jiang Bin & Peng Bin, 2020. "Instrumental Variables Estimation in Large Heterogeneous Panels with Multifactor Structure," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-22, January.
    20. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation," Papers 2208.03632, arXiv.org, revised Nov 2024.
    21. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    22. Jia Chen Author-Name-First: Jia & Yongcheol Shin & Chaowen Zheng, 2023. "Dynamic Quantile Panel Data Models with Interactive Effects," Economics Discussion Papers em-dp2023-06, Department of Economics, University of Reading.
    23. Carolina Castagnetti, 2015. "The Analysis of the Gender Wage Gap in the Italian Public Sector: a Quantile Approach for Panel Data," DEM Working Papers Series 109, University of Pavia, Department of Economics and Management.
    24. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2018. "Multidimensional Skills and the Returns to Schooling: Evidence from an Interactive Fixed Effects Approach and a Linked Survey-Administrative Dataset," Purdue University Economics Working Papers 1309, Purdue University, Department of Economics.
    25. Su Liangjun & Tadao Hoshino, 2015. "Sieve Instrumental Variable Quantile Regression Estimation of Functional Coefficient Models," Working Papers 01-2015, Singapore Management University, School of Economics.
    26. Carolina Castagnetti & Luisa Rosti & Marina Töpfer, 2019. "The Public-Private Sector Wage Differential Across Gender in Italy: a New Quantile-Based Decomposition Approach," Economics Bulletin, AccessEcon, vol. 39(4), pages 2533-2539.
    27. Paulo M.M. Rodrigues & Matei Demetrescu, 2022. "Cross-Sectional Error Dependence in Panel Quantile Regressions," Working Papers w202213, Banco de Portugal, Economics and Research Department.
    28. Dong-Hyeon Kim & Joyce Hsieh & Shu-Chin Lin, 2021. "Financial liberalization, political institutions, and income inequality," Empirical Economics, Springer, vol. 60(3), pages 1245-1281, March.
    29. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    30. Weili Ding & Steven F. Lehrer, 2014. "Understanding the Role of Time-Varying Unobserved Ability Heterogeneity in Education Production," NBER Working Papers 19937, National Bureau of Economic Research, Inc.
    31. Junlong Feng, 2019. "Regularized Quantile Regression with Interactive Fixed Effects," Papers 1911.00166, arXiv.org, revised Mar 2021.
    32. Ando, Tomohiro & Bai, Jushan, 2018. "Quantile co-movement in financial markets: A panel quantile model with unobserved heterogeneity," MPRA Paper 88765, University Library of Munich, Germany.
    33. Giovanni Forchini & Bin Jiang & Bin Peng, 2018. "TSLS and LIML Estimators in Panels with Unobserved Shocks," Econometrics, MDPI, vol. 6(2), pages 1-12, April.
    34. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2019. "Multidemsional Skills and Returns to Schooling: Evidence from an Interactive Fixed Effects Aproach and a Linked Survey-Administrative Dataset," Purdue University Economics Working Papers 1316, Purdue University, Department of Economics.
    35. Philip Kostov & Julie Le Gallo, 2018. "What role for human capital in the growth process: new evidence from endogenous latent factor panel quantile regressions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(5), pages 501-527, November.
    36. Andres Sagner, 2020. "High Dimensional Quantile Factor Analysis," Working Papers Central Bank of Chile 886, Central Bank of Chile.
    37. Boudt, Kris & Heyndels, Ewoud, 2024. "Robust interactive fixed effects," Econometrics and Statistics, Elsevier, vol. 29(C), pages 206-223.
    38. Castagnetti, Carolina & Giorgetti, Maria Letizia, 2019. "Understanding the gender wage-gap differential between the public and private sectors in Italy: A quantile approach," Economic Modelling, Elsevier, vol. 78(C), pages 240-261.
    39. Chen, Liang, 2015. "Set identification of panel data models with interactive effects via quantile restrictions," Economics Letters, Elsevier, vol. 137(C), pages 36-40.
    40. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Monash Econometrics and Business Statistics Working Papers 13/22, Monash University, Department of Econometrics and Business Statistics.
    41. Lena Boneva (Körber) & Oliver Linton, 2017. "A discrete choice model for large heterogeneous panels with interactive fixed effects with an application to the determinants of corporate bond issuance," CeMMAP working papers 02/17, Institute for Fiscal Studies.
    42. Nadine Levratto & Aziza Garsaa & Luc Tessier, 2013. "La Corse est-elle soluble dans le modèle méditerranéen ? Une analyse à partir d’une régression quantile sur données d’entreprises en panel entre 2004 et 2010. Is the Corsican economy a part of the Med," EconomiX Working Papers 2013-20, University of Paris Nanterre, EconomiX.
    43. Sylvie Charlot & Riccardo Crescenzi & Antonio Musolesi, 2014. "Augmented and Unconstrained: revisiting the Regional Knowledge Production Function," SEEDS Working Papers 2414, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2014.
    44. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.
    45. Karen X. Yan & Qi Li, 2018. "Nonparametric Estimation of a Conditional Quantile Function in a Fixed Effects Panel Data Model," JRFM, MDPI, vol. 11(3), pages 1-10, August.
    46. Damette, Olivier & Kouki, Imen, 2022. "Political influence and banking performance: Evidence from the African countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 200-207.
    47. Bai, Jushan & Liao, Yuan, 2017. "Inferences in panel data with interactive effects using large covariance matrices," Journal of Econometrics, Elsevier, vol. 200(1), pages 59-78.
    48. Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    49. Ali Aghamohammadi, 2018. "Bayesian analysis of dynamic panel data by penalized quantile regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(1), pages 91-108, March.
    50. Cepoi, Cosmin-Octavian, 2020. "Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil," Finance Research Letters, Elsevier, vol. 36(C).

  6. Martin Burda & Matthew C. Harding & Jerry Hausman, 2008. "A Bayesian mixed logit-probit model for multinomial choice," CeMMAP working papers CWP23/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. Schröder, Nadine & Hruschka, Harald, 2016. "Investigating the effects of mailing variables and endogeneity on mailing decisions," European Journal of Operational Research, Elsevier, vol. 250(2), pages 579-589.
    3. 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.
    4. 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.
    5. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2022. "The Use of Scanner Data for Economics Research," TSE Working Papers 22-1286, Toulouse School of Economics (TSE).
    6. Florian Heiss & Stephan Hetzenecker & Maximilian Osterhaus, 2019. "Nonparametric Estimation of the Random Coefficients Model: An Elastic Net Approach," Papers 1909.08434, arXiv.org, revised Sep 2019.
    7. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2017. "How well targeted are soda taxes?," CEPR Discussion Papers 12484, C.E.P.R. Discussion Papers.
    8. Steven Berry & Philip Haile, 2023. "Nonparametric Identification of Differentiated Products Demand Using Micro Data," Cowles Foundation Discussion Papers 2357, Cowles Foundation for Research in Economics, Yale University.
    9. Mark J. Jensen & John M. Maheu, 2014. "Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis," Working Paper series 31_14, Rimini Centre for Economic Analysis.
    10. E. Weyl & Michal Fabinger, 2015. "A Tractable Approach to Pass-Through Patterns," 2015 Meeting Papers 747, Society for Economic Dynamics.
    11. Xin Jin & John M. Maheu, 2014. "Bayesian Semiparametric Modeling of Realized Covariance Matrices," Working Paper series 34_14, Rimini Centre for Economic Analysis.
    12. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    13. 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.
    14. Bel, K. & Paap, R., 2014. "A Multivariate Model for Multinomial Choices," Econometric Institute Research Papers EI 2014-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Apps, Patricia & Kabátek, Jan & Rees, Ray & van Soest, Arthur, 2012. "Labor Supply Heterogeneity and Demand for Child Care of Mothers with Young Children," IZA Discussion Papers 7007, Institute of Labor Economics (IZA).
    16. Steven T. Berry & Philip A. Haile, 2021. "Foundations of Demand Estimation," NBER Working Papers 29305, National Bureau of Economic Research, Inc.
    17. Michael P. Keane, 2013. "Panel data discrete choice models of consumer demand," Economics Papers 2013-W08, Economics Group, Nuffield College, University of Oxford.
    18. Steven T. Berry & Philip A. Haile, 2009. "Nonparametric Identification of Multinomial Choice Demand Models with Heterogeneous Consumers," Cowles Foundation Discussion Papers 1718, Cowles Foundation for Research in Economics, Yale University, revised Mar 2010.
    19. Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2017. "Nonseparable multinomial choice models in cross-section and panel data," CeMMAP working papers 33/17, Institute for Fiscal Studies.
    20. Yang Li & Asim Ansari, 2014. "A Bayesian Semiparametric Approach for Endogeneity and Heterogeneity in Choice Models," Management Science, INFORMS, vol. 60(5), pages 1161-1179, May.
    21. Kabátek, Jan, 2015. "Essays on public policy and household decision making," Other publications TiSEM 8cdb178e-ad98-42e5-a7e1-b, Tilburg University, School of Economics and Management.
    22. Didier Nibbering, 2019. "A High-dimensional Multinomial Choice Model," Monash Econometrics and Business Statistics Working Papers 19/19, Monash University, Department of Econometrics and Business Statistics.
    23. Claudia Bazzani & Marco A. Palma & Rodolfo M. Nayga, 2018. "On the use of flexible mixing distributions in WTP space: an induced value choice experiment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 185-198, April.
    24. Daziano, Ricardo A., 2013. "Conditional-logit Bayes estimators for consumer valuation of electric vehicle driving range," Resource and Energy Economics, Elsevier, vol. 35(3), pages 429-450.
    25. Jerry Hausman & Haoyang Liu & Ye Luo & Christopher Palmer, 2021. "Errors in the Dependent Variable of Quantile Regression Models," Econometrica, Econometric Society, vol. 89(2), pages 849-873, March.
    26. Cohen, Michael, 2010. "A Structured Covariance Probit Demand Model," Research Reports 149970, University of Connecticut, Food Marketing Policy Center.
    27. Igor Prünster & Matteo Ruggiero, 2011. "A Bayesian nonparametric approach to modeling market share dynamics," Carlo Alberto Notebooks 217, Collegio Carlo Alberto.
    28. 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.
    29. Balcombe, Kelvin & Fraser, Iain & Williams, Louis & McSorley, Eugene, 2017. "Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 238-257.
    30. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    31. Victor Chernozhukov & Jerry A. Hausman & Whitney K. Newey, 2019. "Demand Analysis with Many Prices," NBER Working Papers 26424, National Bureau of Economic Research, Inc.
    32. 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.
    33. Kenneth L. Judd & Ben Skrainka, 2011. "High performance quadrature rules: how numerical integration affects a popular model of product differentiation," CeMMAP working papers CWP03/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    34. 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.
    35. Matthew Harding & Ephraim Leibtag & Michael F. Lovenheim, 2012. "The Heterogeneous Geographic and Socioeconomic Incidence of Cigarette Taxes: Evidence from Nielsen Homescan Data," American Economic Journal: Economic Policy, American Economic Association, vol. 4(4), pages 169-198, November.
    36. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "A Dirichlet Process Mixture Model of Discrete Choice," Papers 1801.06296, arXiv.org.
    37. Train, Kenneth, 2016. "Mixed logit with a flexible mixing distribution," Journal of choice modelling, Elsevier, vol. 19(C), pages 40-53.
    38. 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.
    39. Victor Chernozhukov & Whitney K Newey & Rahul Singh, 2018. "Automatic Debiased Machine Learning of Causal and Structural Effects," Papers 1809.05224, arXiv.org, revised Oct 2022.
    40. Jinyong Hahn & Jerry Hausman & Josh Lustig, 2017. "Specification test on mixed logit models," CeMMAP working papers 58/17, Institute for Fiscal Studies.
    41. Martin Burda & Artem Prokhorov, 2012. "Copula Based Factorization in Bayesian Multivariate Infinite Mixture Models," Working Papers 12012, Concordia University, Department of Economics.
    42. Karabatsos, George & Walker, Stephen G., 2012. "Bayesian nonparametric mixed random utility models," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1714-1722.
    43. Peter Lenk, 2014. "Bayesian estimation of random utility models," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 20, pages 457-497, Edward Elgar Publishing.
    44. Griffith, Rachel & O'Connell, Martin & Miller, Helen, 2011. "Corporate taxes and the location of intellectual property," CEPR Discussion Papers 8424, C.E.P.R. Discussion Papers.
    45. Norets, Andriy & Pelenis, Justinas, 2022. "Adaptive Bayesian estimation of conditional discrete-continuous distributions with an application to stock market trading activity," Journal of Econometrics, Elsevier, vol. 230(1), pages 62-82.
    46. Burda, Martin & Harding, Matthew & Hausman, Jerry, 2012. "A Poisson mixture model of discrete choice," Journal of Econometrics, Elsevier, vol. 166(2), pages 184-203.
    47. 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.
    48. 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.
    49. I. G. Ukpong & K. G. Balcombe & I. M. Fraser & F. J. Areal, 2019. "Preferences for Mitigation of the Negative Impacts of the Oil and Gas Industry in the Niger Delta Region of Nigeria," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 811-843, October.
    50. 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.
    51. Patrick Bajari & Jeremy T. Fox & Kyoo il Kim & Stephen P. Ryan, 2009. "A Simple Nonparametric Estimator for the Distribution of Random Coefficients," NBER Working Papers 15210, National Bureau of Economic Research, Inc.
    52. Matzkin, Rosa L., 2019. "Constructive identification in some nonseparable discrete choice models," Journal of Econometrics, Elsevier, vol. 211(1), pages 83-103.
    53. Heiss, Florian & Hetzenecker, Stephan & Osterhaus, Maximilian, 2019. "Nonparametric estimation of the random coefficients model: An elastic net approach," Ruhr Economic Papers 824, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    54. Christopher Dobronyi & Christian Gouri'eroux, 2020. "Consumer Theory with Non-Parametric Taste Uncertainty and Individual Heterogeneity," Papers 2010.13937, arXiv.org, revised Jan 2021.
    55. 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.

  7. Matthew C. Harding & Jerry Hausman, 2006. "Using a Laplace approximation to estimate the random coefficients logit model by non-linear least squares," CeMMAP working papers CWP01/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Bordley, Robert F., 2011. "An anti-ideal point representation of economic discrete choice models," Economics Letters, Elsevier, vol. 110(1), pages 60-63, January.
    2. Bhat, Chandra R., 2012. "Recent developments in discrete choice model formulation, estimation, and inference," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 273-275.
    3. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Martin Burda & Matthew C. Harding & Jerry Hausman, 2008. "A Bayesian mixed logit-probit model for multinomial choice," CeMMAP working papers CWP23/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Mikołaj Czajkowski & Wiktor Budziński, 2017. "Simulation error in maximum likelihood estimation of discrete choice models," Working Papers 2017-18, Faculty of Economic Sciences, University of Warsaw.
    6. Salanié, Bernard & Wolak, Frank, 2018. "Fast, “Robust†, and Approximately Correct: Estimating Mixed Demand Systems," CEPR Discussion Papers 13236, C.E.P.R. Discussion Papers.
    7. Bernard Salanié & Frank A. Wolak, 2019. "Fast, "Robust", and Approximately Correct: Estimating Mixed Demand Systems," NBER Working Papers 25726, National Bureau of Economic Research, Inc.
    8. Matzkin, Rosa L., 2012. "Identification in nonparametric limited dependent variable models with simultaneity and unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 166(1), pages 106-115.
    9. 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.
    10. Matzkin, Rosa L., 2019. "Constructive identification in some nonseparable discrete choice models," Journal of Econometrics, Elsevier, vol. 211(1), pages 83-103.
    11. Zenga, Mariangela & Mazzoleni, Marcella & Mariani, Paolo & Marletta, Andrea, 2021. "The risk of inappropriateness: An analysis of the hospitalisations in the Italian geriatric wards," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    12. Yu, Lili & Zhao, Yichuan, 2024. "Laplace approximated quasi-likelihood method for heteroscedastic survival data," Computational Statistics & Data Analysis, Elsevier, vol. 190(C).

  8. Marcus Alexander & Matthew Harding & Carlos Lamarche, "undated". "The Political Economy of Heterogeneous Development: Quartile Effects of Income and Education," Discussion Papers 07-052, Stanford Institute for Economic Policy Research.

    Cited by:

    1. Marcus Alexander & Matthew Harding & Carlos Lamarche, 2009. "The Human Cost of Economic Crises," Discussion Papers 08-029, Stanford Institute for Economic Policy Research.
    2. Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.
    3. Natina Yaduma & Mika Kortelainen & Ada Wossink, 2015. "The environmental Kuznets curve at different levels of economic development: a counterfactual quantile regression analysis for CO 2 emissions," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 4(3), pages 278-303, November.

Articles

  1. Jonathan Hersh & Matthew Harding, 2018. "Big Data in economics," IZA World of Labor, Institute of Labor Economics (IZA), pages 451-451, September.

    Cited by:

    1. Ana Cecilia Quiroga Gutierrez & Daniel J. Lindegger & Ala Taji Heravi & Thomas Stojanov & Martin Sykora & Suzanne Elayan & Stephen J. Mooney & John A. Naslund & Marta Fadda & Oliver Gruebner, 2023. "Reproducibility and Scientific Integrity of Big Data Research in Urban Public Health and Digital Epidemiology: A Call to Action," IJERPH, MDPI, vol. 20(2), pages 1-15, January.
    2. Mehmet Güney Celbiş, 2021. "A machine learning approach to rural entrepreneurship," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 1079-1104, August.
    3. Ajit Desai, 2023. "Machine learning for economics research: when, what and how," Staff Analytical Notes 2023-16, Bank of Canada.

  2. Harding, Matthew & Lovenheim, Michael, 2017. "The effect of prices on nutrition: Comparing the impact of product- and nutrient-specific taxes," Journal of Health Economics, Elsevier, vol. 53(C), pages 53-71.
    See citations under working paper version above.
  3. Matthew Harding & Carlos Lamarche, 2016. "Empowering Consumers Through Data and Smart Technology: Experimental Evidence on the Consequences of Time‐of‐Use Electricity Pricing Policies," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 35(4), pages 906-931, September.

    Cited by:

    1. Jacobsen, Grant D. & Stewart, James I., 2022. "How do consumers respond to price complexity? Experimental evidence from the power sector," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    2. Löschel, Andreas & Price, Michael Keith & Razzolini, Laura & Werthschulte, Madeline, 2022. "COVID-19 and the formation of energy conservation routines: Disentangling the relative importance of attention and income shocks," ZEW Discussion Papers 22-068, ZEW - Leibniz Centre for European Economic Research.
    3. Daniel J. Mallinson & Saahir Shafi, 2022. "Smart home technology: Challenges and opportunities for collaborative governance and policy research," Review of Policy Research, Policy Studies Organization, vol. 39(3), pages 330-352, May.
    4. Manuel Frondel & Gerhard Kussel, 2019. "Switching on Electricity Demand Response: Evidence for German Households," The Energy Journal, , vol. 40(5), pages 1-16, September.
    5. Federico A. Bugni & Joel L. Horowitz, 2018. "Permutation tests for equality of distributions of functional data," CeMMAP working papers CWP18/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Lomas, K.J. & Oliveira, S. & Warren, P. & Haines, V.J. & Chatterton, T. & Beizaee, A. & Prestwood, E. & Gething, B., 2018. "Do domestic heating controls save energy? A review of the evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 52-75.
    7. Matthew Harding & Carlos Lamarche, 2018. "A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment," Papers 1808.03364, arXiv.org.
    8. Heather Hodges & Colin Kuehl & Sarah E. Anderson & Phillip J. Ehret & Cameron Brick, 2020. "How Managers Can Reduce Household Water Use Through Communication: A Field Experiment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 1076-1099, September.
    9. Harding, Matthew & Kettler, Kyle & Lamarche, Carlos & Ma, Lala, 2021. "The (Alleged) Environmental and Social Benefits of Dynamic Pricing," IZA Discussion Papers 14846, Institute of Labor Economics (IZA).
    10. Schäuble, Dominik & Marian, Adela & Cremonese, Lorenzo, 2020. "Conditions for a cost-effective application of smart thermostat systems in residential buildings," Applied Energy, Elsevier, vol. 262(C).
    11. Eoghan O'Neill & Melvyn Weeks, 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Papers 1810.09179, arXiv.org, revised Oct 2019.
    12. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    13. Manuel Frondel and Gerhard Kussel, 2019. "Switching on Electricity Demand Response: Evidence for German Households," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    14. Jesse Burkhardt & Kenneth Gillingham & Praveen K. Kopalle, 2019. "Experimental Evidence on the Effect of Information and Pricing on Residential Electricity Consumption," NBER Working Papers 25576, National Bureau of Economic Research, Inc.
    15. O'Neill, E. & Weeks, M., 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Cambridge Working Papers in Economics 1865, Faculty of Economics, University of Cambridge.
    16. Blonz, Joshua & Palmer, Karen & Wichman, Casey & Wietelman, Derek C., 2021. "Smart Thermostats, Automation, and Time-Varying Prices," RFF Working Paper Series 21-20, Resources for the Future.

  4. Michael D. Frakes & Matthew C. Harding, 2015. "The Effect of Statutory Rape Laws on Teen Birth Rates," American Law and Economics Review, American Law and Economics Association, vol. 17(2), pages 409-461.

    Cited by:

    1. Louis‐Pierre Lepage, 2022. "Do age of consent laws decrease teen births?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(3), pages 1431-1459, August.

  5. Martin Burda & Matthew Harding & Jerry Hausman, 2015. "A Bayesian Semiparametric Competing Risk Model with Unobserved Heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 353-376, April.

    Cited by:

    1. Burda, Martin & Harding, Matthew, 2014. "Environmental Justice: Evidence from Superfund cleanup durations," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 380-401.
    2. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2018. "Bayesian Nonparametric Calibration and Combination of Predictive Distributions," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 675-685, April.
    3. Dirick, Lore & Claeskens, Gerda & Vasnev, Andrey & Baesens, Bart, 2022. "A hierarchical mixture cure model with unobserved heterogeneity for credit risk," Econometrics and Statistics, Elsevier, vol. 22(C), pages 39-55.
    4. Arulampalam, Wiji & Corradi, Valentina & Gutknecht, Daniel, 2017. "Modeling heaped duration data: An application to neonatal mortality," Journal of Econometrics, Elsevier, vol. 200(2), pages 363-377.
    5. Xiao Jiang & Saralees Nadarajah & Thomas Hitchen, 2024. "A Review of Generalized Hyperbolic Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 595-624, July.
    6. Lo, Simon M.S. & Mammen, Enno & Wilke, Ralf A., 2020. "A nested copula duration model for competing risks with multiple spells," Computational Statistics & Data Analysis, Elsevier, vol. 150(C).

  6. Burda, Martin & Harding, Matthew, 2014. "Environmental Justice: Evidence from Superfund cleanup durations," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 380-401.

    Cited by:

    1. Anna Aizer & Janet Currie & Peter Simon & Patrick Vivier, 2016. "Do Low Levels of Blood Lead Reduce Children's Future Test Scores?," NBER Working Papers 22558, National Bureau of Economic Research, Inc.
    2. Jacob LaRiviere & Matthew McMahon & Justin Roush, 2019. "Second-Best Prioritization of Environmental Cleanups," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(4), pages 1225-1249, April.
    3. Marcus, Michelle & Mueller, Rosie, 2024. "Unregulated contaminants in drinking water: Evidence from PFAS and housing prices," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    4. Roberto Pasetto & Benedetta Mattioli & Daniela Marsili, 2019. "Environmental Justice in Industrially Contaminated Sites. A Review of Scientific Evidence in the WHO European Region," IJERPH, MDPI, vol. 16(6), pages 1-20, March.
    5. Phattraporn Soytong & Ranjith Perera, 2017. "Spatial analysis of the environmental conflict between state, society and industry at the Map Ta Phut-Rayong conurbation in Thailand," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(3), pages 839-862, June.
    6. Bez, Charlotte S. & Ash, Michael & Boyce, James K., 2024. "Environmental inequality in industrial brownfields: Evidence from French municipalities," Ecological Economics, Elsevier, vol. 217(C).
    7. Shannon M. Cruz, 2019. "Themes Across New Directions in Community Engagement," IJERPH, MDPI, vol. 16(19), pages 1-13, October.
    8. Ivan Rudik & Derek Lemoine & Antonia Marcheva, 2024. "Equity and Efficiency in the Bipartisan Infrastructure Law’s Adaptation Investments," NBER Chapters, in: Environmental and Energy Policy and the Economy, volume 6, National Bureau of Economic Research, Inc.

  7. Harding, Matthew & Lamarche, Carlos, 2014. "A Hausman–Taylor instrumental variable approach to the penalized estimation of quantile panel models," Economics Letters, Elsevier, vol. 124(2), pages 176-179.

    Cited by:

    1. Li Tao & Yuanjie Zhang & Maozai Tian, 2019. "Quantile Regression for Dynamic Panel Data Using Hausman–Taylor Instrumental Variables," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1033-1069, March.
    2. Li Tao & Lingnan Tai & Manling Qian & Maozai Tian, 2023. "A New Instrumental-Type Estimator for Quantile Regression Models," Mathematics, MDPI, vol. 11(15), pages 1-26, August.
    3. Steven D. Silver, 2016. "A QUAIDS Model of Need-Based Structure in U.S. Personal Consumption 2006–2012," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(3), pages 303-323, September.

  8. Harding, Matthew & Lamarche, Carlos, 2014. "Estimating and testing a quantile regression model with interactive effects," Journal of Econometrics, Elsevier, vol. 178(P1), pages 101-113.
    See citations under working paper version above.
  9. Harding, Matthew & Hsiaw, Alice, 2014. "Goal setting and energy conservation," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 209-227.
    See citations under working paper version above.
  10. Martin Burda & Matthew Harding, 2013. "Panel Probit With Flexible Correlated Effects: Quantifying Technology Spillovers In The Presence Of Latent Heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 956-981, September.

    Cited by:

    1. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    2. Laura Liu, 2020. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," CAEPR Working Papers 2020-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    3. Mohammad Arshad Rahman & Angela Vossmeyer, 2019. "Estimation and Applications of Quantile Regression for Binary Longitudinal Data," Papers 1909.05560, arXiv.org.
    4. Bresson, Georges & Lacroix, Guy & Arshad Rahman, Mohammad, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," IZA Discussion Papers 12928, Institute of Labor Economics (IZA).
    5. Cheng Hsiao & Yimeng Xie & Qiankun Zhou, 2021. "Factor dimension determination for panel interactive effects models: an orthogonal projection approach," Computational Statistics, Springer, vol. 36(2), pages 1481-1497, June.
    6. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.

  11. Matthew Harding & Ephraim Leibtag & Michael F. Lovenheim, 2012. "The Heterogeneous Geographic and Socioeconomic Incidence of Cigarette Taxes: Evidence from Nielsen Homescan Data," American Economic Journal: Economic Policy, American Economic Association, vol. 4(4), pages 169-198, November.

    Cited by:

    1. Christopher Carpenter & Hai V. Nguyen, 2020. "Intended and Unintended Effects of Banning Menthol Cigarettes," NBER Working Papers 26811, National Bureau of Economic Research, Inc.
    2. Zareh Asatryan & David Gomtsyan, 2020. "The Incidence of VAT Evasion," CESifo Working Paper Series 8666, CESifo.
    3. Nicoletta Berardi & Patrick Sevestre & Marine Tépaut & Alexandre Vigneron, 2016. "The impact of a ‘soda tax’ on prices: evidence from French micro data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01440299, HAL.
    4. Dichev, Ilia D. & Qian, Jingyi, 2022. "The benefits of transaction-level data: The case of NielsenIQ scanner data," Journal of Accounting and Economics, Elsevier, vol. 74(1).
    5. Hindriks, Jean & Serse, Valerio, 2022. "The incidence of VAT reforms in electricity markets: Evidence from Belgium," International Journal of Industrial Organization, Elsevier, vol. 80(C).
    6. Anurag Sharma & Katharina Hauck & Bruce Hollingsworth & Luigi Siciliani, 2014. "The Effects Of Taxing Sugar‐Sweetened Beverages Across Different Income Groups," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1159-1184, September.
    7. David S Jacks & Krishna Pendakur & Hitoshi Shigeoka, 2021. "Infant Mortality and the Repeal of Federal Prohibition," The Economic Journal, Royal Economic Society, vol. 131(639), pages 2955-2983.
    8. Diwas KC & TI Tongil Kim & Jiayi Liu, 2022. "Electronic prescription monitoring and the opioid epidemic," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4057-4074, November.
    9. Rozema, Kyle & Ziebarth, Nicolas R., 2015. "Behavioral Responses to Taxation: Cigarette Taxes and Food Stamp Take-Up," IZA Discussion Papers 8907, Institute of Labor Economics (IZA).
    10. Matthew Harding & Michael Lovenheim, 2014. "The Effect of Prices on Nutrition: Comparing the Impact of Product- and Nutrient-Specific Taxes," NBER Working Papers 19781, National Bureau of Economic Research, Inc.
    11. Schmacker, Renke & Smed, Sinne, 2020. "Do prices and purchases respond similarly to soft drink tax increases and cuts?," Economics & Human Biology, Elsevier, vol. 37(C).
    12. Agrawal, David R., 2014. "LOST in America: Evidence on local sales taxes from national panel data," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 147-163.
    13. Lance S. Ballester & Amy H. Auchincloss & Lucy F. Robinson & Stephanie L. Mayne, 2017. "Exploring Impacts of Taxes and Hospitality Bans on Cigarette Prices and Smoking Prevalence Using a Large Dataset of Cigarette Prices at Stores 2001–2011, USA," IJERPH, MDPI, vol. 14(3), pages 1-15, March.
    14. Michelle Sovinsky & Liana Jacobi & Alessandra Allocca & Tao Sun, 2024. "More than Joints: Multi-Substance Use, Choice Limitations, and Policy Implications," CRC TR 224 Discussion Paper Series crctr224_2024_501, University of Bonn and University of Mannheim, Germany.
    15. Chiou, Lesley & Muehlegger, Erich J., 2010. "Consumer Response to Cigarette Excise Tax Changes," Scholarly Articles 4448875, Harvard Kennedy School of Government.
    16. Chen Zhen & Mary Muth & Abigail Okrent & Shawn Karns & Derick Brown & Peter Siegel, 2019. "Do differences in reported expenditures between household scanner data and expenditure surveys matter in health policy research?," Health Economics, John Wiley & Sons, Ltd., vol. 28(6), pages 782-800, June.
    17. Christopher S. Carpenter & Michael T. Mathes, 2016. "New Evidence on the Price Effects of Cigarette Tax Competition," Public Finance Review, , vol. 44(3), pages 291-310, May.
    18. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2017. "How well targeted are soda taxes?," CEPR Discussion Papers 12484, C.E.P.R. Discussion Papers.
    19. Christian Ben Lakhdar & Nicolas Gérard Vaillant & François-Charles Wolff, 2016. "Does smoke cross the border? Cigarette tax avoidance in France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(9), pages 1073-1089, December.
    20. Wang, Xiaojin & Zheng, Yuqing & Reed, Michael & Zhen, Chen, 2015. "Cigarette Tax Pass-Through by Product Characteristics: Evidence from Nielsen ScanTrack Data," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205375, Agricultural and Applied Economics Association.
    21. Etilé, F.; & Lecocq, S.; & Boizot-Szantaï, C.;, 2018. "The Incidence of Soft-Drink Taxes on Consumer Prices and Welfare:Evidence from the French “Soda Taxâ€," Health, Econometrics and Data Group (HEDG) Working Papers 18/13, HEDG, c/o Department of Economics, University of York.
    22. Panayiota Lyssiotou & Elena Savva, 2021. "Who pays taxes on basic foodstuffs? Evidence from broadening the VAT base," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 28(1), pages 212-247, February.
    23. DeCicca, Philip & Kenkel, Donald & Liu, Feng, 2013. "Excise tax avoidance: The case of state cigarette taxes," Journal of Health Economics, Elsevier, vol. 32(6), pages 1130-1141.
    24. James E. Prieger & Jonathan Kulick, 2018. "Cigarette Taxes And Illicit Trade In Europe," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1706-1723, July.
    25. Benjamin Bittschi & Ines Fortin & Sebastian Koch & Richard Sellner & Simon Loretz & Gregor Zwirn, 2019. "Price Elasticities and Implied Tax Revenue for Alcoholic Beverages. Evidence from Poland, France and Spain," WIFO Working Papers 579, WIFO.
    26. Raymundo M. Campos-Vázquez & Eduardo M. Medina-Cortina, 2019. "Pass-through and competition: the impact of soft drink taxes as seen through Mexican supermarkets," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 28(1), pages 1-23, December.
    27. Michael F. Pesko & John A. Tauras & Jidong Huang & Frank J. Chaloupka, IV, 2016. "The Influence of Geography and Measurement in Estimating Cigarette Price Responsiveness," NBER Working Papers 22296, National Bureau of Economic Research, Inc.
    28. Benjamin Hansen & Daniel I. Rees & Joseph J. Sabia, 2013. "Cigarette Taxes and How Youths Obtain Cigarettes," National Tax Journal, National Tax Association;National Tax Journal, vol. 66(2), pages 371-394, June.
    29. Chad Cotti & Erik Nesson & Nathan Tefft, 2016. "The Effects of Tobacco Control Policies on Tobacco Products, Tar, and Nicotine Purchases among Adults: Evidence from Household Panel Data," American Economic Journal: Economic Policy, American Economic Association, vol. 8(4), pages 103-123, November.
    30. Carpenter, Christopher S. & Sansone, Dario, 2020. "Cigarette Taxes and Smoking among Sexual Minority Adults," IZA Discussion Papers 12915, Institute of Labor Economics (IZA).
    31. John Cawley & Chelsea Crain & David Frisvold & David Jones, 2018. "The Pass-Through of the Largest Tax on Sugar-Sweetened Beverages: The Case of Boulder, Colorado," NBER Working Papers 25050, National Bureau of Economic Research, Inc.
    32. Michael Pesko & Christopher F Baum, 2014. "The Self-Medication Hypothesis: Evidence from Terrorism and Cigarette Accessibility," Boston College Working Papers in Economics 865, Boston College Department of Economics, revised 07 Feb 2016.
    33. Michelle Sovinsky & Liana Jacobi & Alessandra Allocca & Tao Sun, 2023. "More than Joints: Multi-Substance Use, Choice Limitations, and Policy Implications," Rationality and Competition Discussion Paper Series 487, CRC TRR 190 Rationality and Competition.
    34. David Frisvold & Emily Leslie & Joseph P. Price, 2020. "Do Targeted Vouchers Instill Habits? Evidence From Women, Infants, And Children," Contemporary Economic Policy, Western Economic Association International, vol. 38(1), pages 67-80, January.
    35. Erich Muehlegger & Richard L. Sweeney, 2017. "Pass-Through of Own and Rival Cost Shocks: Evidence from the U.S. Fracking Boom," NBER Working Papers 24025, National Bureau of Economic Research, Inc.
    36. Hyunchul Kim & Dongwon Lee, 2021. "Racial demographics and cigarette tax shifting: evidence from scanner data," Empirical Economics, Springer, vol. 61(2), pages 1011-1037, August.
    37. Javier Espinosa & William N. Evans, 2013. "Excise Taxes, Tax Incidence, and the Flight to Quality," Public Finance Review, , vol. 41(2), pages 147-176, March.
    38. Aria Ardalan & Sebastian G. Kessing, 2019. "Tax pass-through in the European beer market," CESifo Working Paper Series 7626, CESifo.
    39. David Agrawal, 2012. "Games within borders: are geographically differentiated taxes optimal?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(4), pages 574-597, August.
    40. Vinish Shrestha, 2022. "Revisiting the Effects of Cigarette Taxes on Smoking Outcomes," Working Papers 2022-02, Towson University, Department of Economics, revised Jun 2024.
    41. Chad D. Cotti & Charles J. Courtemanche & Johanna Catherine Maclean & Erik T. Nesson & Michael F. Pesko & Nathan Tefft, 2020. "The Effects of E-Cigarette Taxes on E-Cigarette Prices and Tobacco Product Sales: Evidence from Retail Panel Data," NBER Working Papers 26724, National Bureau of Economic Research, Inc.
    42. Zhang, Qi & McCluskey, Jill J. & Gallardo, R. Karina & Brady, Michael P., 2021. "Avoidance behaviors circumventing the sugar-sweetened beverages tax," Food Policy, Elsevier, vol. 105(C).
    43. Christian Rojas & Emily Wang, 2021. "Do Taxes On Soda And Sugary Drinks Work? Scanner Data Evidence From Berkeley And Washington State," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 95-118, January.
    44. DeCicca, Philip & Kenkel, Donald & Liu, Feng & Somerville, Jason, 2021. "Quantifying brand loyalty: Evidence from the cigarette market," Journal of Health Economics, Elsevier, vol. 79(C).
    45. Philip DeCicca & Donald Kenkel & Feng Liu, 2015. "Reservation Prices: An Economic Analysis of Cigarette Purchases on Indian Reservations," National Tax Journal, National Tax Association;National Tax Journal, vol. 68(1), pages 93-118, March.
    46. Alex Rees-Jones & Kyle T. Rozema, 2019. "Price Isn’t Everything: Behavioral Response around Changes in Sin Taxes," NBER Working Papers 25958, National Bureau of Economic Research, Inc.
    47. David R. Agrawal, 2015. "The Tax Gradient: Spatial Aspects of Fiscal Competition," American Economic Journal: Economic Policy, American Economic Association, vol. 7(2), pages 1-29, May.
    48. Harju, Jarkko & Kosonen, Tuomas & Laukkanen, Marita & Palanne, Kimmo, 2022. "The heterogeneous incidence of fuel carbon taxes: Evidence from station-level data," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
    49. Johannes Kasinger, 2024. "Shrouded Sin Taxes," Papers 2409.01493, arXiv.org.
    50. John Cawley & David Frisvold & David Jones & Chelsea Lensing, 2021. "The Pass‐Through of a Tax on Sugar‐Sweetened Beverages in Boulder, Colorado," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 987-1005, May.
    51. Jeffrey Brinkman & David Mok-Lamme, 2017. "Not in My Backyard? Not So Fast. The Effect of Marijuana Legalization on Neighborhood Crime," Working Papers 17-19, Federal Reserve Bank of Philadelphia.
    52. Hindriks, Jean & Serse, Valerio, 2019. "Heterogeneity in the tax pass-through to spirit retail prices: Evidence from Belgium," Journal of Public Economics, Elsevier, vol. 176(C), pages 142-160.
    53. James M. Bishop, 2015. "Interacting Effects of State Cigarette Taxes on Smoking Participation," Economics Working Paper Series 1601, Oklahoma State University, Department of Economics and Legal Studies in Business.
    54. Agrawal, David R., 2016. "Local fiscal competition: An application to sales taxation with multiple federations," Journal of Urban Economics, Elsevier, vol. 91(C), pages 122-138.
    55. Andrew Leicester, 2012. "How might in-home scanner technology be used in budget surveys?," IFS Working Papers W12/01, Institute for Fiscal Studies.
    56. Ander Iraizoz & José M Labeaga, 2022. "Incidence and Avoidance Effects of Spatial Fuel Tax Differentials: Evidence using Regional Tax Variation in Spain," PSE Working Papers halshs-03789430, HAL.
    57. Rudi, Jeta & Çakır, Metin, 2017. "Vice or virtue: How shopping frequency affects healthfulness of food choices," Food Policy, Elsevier, vol. 69(C), pages 207-217.
    58. Esteban Petruzzello, 2019. "Measuring the Effect of Policy on the Demand for Menthol Cigarettes: Evidence from Household-Level Purchase Data," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(3), pages 422-445, June.
    59. Hansen, Benjamin & Miller, Keaton & Weber, Caroline, 2020. "Federalism, partial prohibition, and cross-border sales: Evidence from recreational marijuana," Journal of Public Economics, Elsevier, vol. 187(C).
    60. Aisha Baisalova, 2022. "Exploring Border Effects: Sensitivity of Cigarette Consumption to Excise Tax," CERGE-EI Working Papers wp726, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    61. Cotti, Chad & Nesson, Erik & Tefft, Nathan, 2018. "The relationship between cigarettes and electronic cigarettes: Evidence from household panel data," Journal of Health Economics, Elsevier, vol. 61(C), pages 205-219.
    62. Donald H. Dutkowsky & Ryan S. Sullivan, 2014. "Excise Taxes, Consumer Demand, Over-Shifting, and Tax Revenue," Public Budgeting & Finance, Wiley Blackwell, vol. 34(3), pages 111-125, September.
    63. Anurag Sharma & Brian Vandenberg, 2019. "Heterogenous wealth effects of minimum unit price on purchase of alcohol: Evidence using scanner data," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
    64. Powell, Lisa M. & Leider, Julien & Léger, Pierre Thomas, 2020. "The impact of the Cook County, IL, Sweetened Beverage Tax on beverage prices," Economics & Human Biology, Elsevier, vol. 37(C).
    65. James M. Bishop, 2018. "Does Cigarette Smuggling Prop Up Smoking Rates?," American Journal of Health Economics, MIT Press, vol. 4(1), pages 80-104, Winter.
    66. Chad Cotti & Erik Nesson & Nathan Tefft, 2019. "Impacts of the ACA Medicaid expansion on health behaviors: Evidence from household panel data," Health Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 219-244, February.
    67. Keaton Miller & Boyoung Seo, 2021. "The Effect of Cannabis Legalization on Substance Demand and Tax Revenues," National Tax Journal, University of Chicago Press, vol. 74(1), pages 107-145.
    68. Andrew Nicholson & Tracy M. Turner & Eduardo Alvarado, 2016. "Cigarette Taxes and Cross-border Revenue Effects," Public Finance Review, , vol. 44(3), pages 311-343, May.
    69. David Agrawal & William H. Hoyt, 2014. "State Tax Differentials, Cross-Border Commuting, and Commuting Times in Multi-State Metropolitan Areas," CESifo Working Paper Series 4852, CESifo.
    70. Michael A. Catalano & Donna B. Gilleskie, 2021. "Impacts of local public smoking bans on smoking behaviors and tobacco smoke exposure," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1719-1744, August.
    71. Pereda, Paula & Garcia, Carolina Policarpo, 2020. "Price impact of taxes on sugary drinks in Brazil," Economics & Human Biology, Elsevier, vol. 39(C).
    72. B. Douglas Bernheim & Jonathan Meer & Neva K. Novarro, 2016. "Do Consumers Exploit Commitment Opportunities? Evidence from Natural Experiments Involving Liquor Consumption," American Economic Journal: Economic Policy, American Economic Association, vol. 8(4), pages 41-69, November.
    73. J. Michael Collins & Amrita Kulka, 2023. "Saving by buying ahead: stockpiling in response to lump‐sum payments," Fiscal Studies, John Wiley & Sons, vol. 44(4), pages 451-484, December.
    74. Shu Wang & David Merriman & Frank J. Chaloupka, 2016. "Relative Tax Rates, Proximity and Cigarette Tax Noncompliance: Evidence from a National Sample of Littered Cigarette Packs," NBER Working Papers 22577, National Bureau of Economic Research, Inc.
    75. Lee, Daeyong, 2018. "Impact of the excise tax on firm R&D and performance in the medical device industry: Evidence from the Affordable Care Act," Research Policy, Elsevier, vol. 47(5), pages 854-871.
    76. Lichtman-Sadot, Shirlee, 2016. "Does banning carbonated beverages in schools decrease student consumption?," Journal of Public Economics, Elsevier, vol. 140(C), pages 30-50.
    77. Don Fullerton & Erich Muehlegger, 2017. "Who Bears the Economic Costs of Environmental Regulations?," NBER Working Papers 23677, National Bureau of Economic Research, Inc.
    78. Bryan Bollinger & Steven E. Sexton, 2023. "Local excise taxes, sticky prices, and spillovers: evidence from Berkeley’s soda tax," Quantitative Marketing and Economics (QME), Springer, vol. 21(2), pages 281-331, June.
    79. Zhao, Jianqiang J. & Kaiser, Harry M. & Zheng, Yuqing, 2022. "Do grocery food taxes incentivize participation in SNAP?," Regional Science and Urban Economics, Elsevier, vol. 95(C).
    80. Kim, Hyunchul & Lee, Dongwon, 2023. "Tax incidence for menthol cigarettes by race: Evidence from Nielsen Homescan data," Journal of Health Economics, Elsevier, vol. 92(C).
    81. Fabrice Etilé & Sebastien Lecocq & Christine Boizot-Szantai, 2018. "The Incidence of Soft-Drink Taxes on Consumer Prices and Welfare: Evidence from the French " Soda Tax"," PSE Working Papers halshs-01808198, HAL.
    82. Felix Montag & Alina Sagimuldina & Monika Schnitzer, 2021. "Does Tax Policy Work When Consumers Have Imperfect Price Information? Theory and Evidence," CESifo Working Paper Series 9138, CESifo.
    83. Erik Nesson, 2017. "Heterogeneity in Smokers' Responses to Tobacco Control Policies," Health Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 206-225, February.
    84. Muhammad Salar Khan & Paul N. Thompson & Victor J. Tremblay, 2020. "Marijuana tax incidence, stockpiling, and cross-border substitution," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(1), pages 103-127, February.
    85. Fox, William F. & Hargaden, Enda Patrick & Luna, LeAnn, 2022. "Statutory incidence and sales tax compliance: Evidence from Wayfair," Journal of Public Economics, Elsevier, vol. 213(C).
    86. Benjamin Hansen & Keaton Miller & Caroline Weber, 2017. "Getting into the Weeds of Tax Invariance," NBER Working Papers 23632, National Bureau of Economic Research, Inc.
    87. Paula Carvalho Pereda & Carolina Policarpo Garcia, 2021. "Price impact of taxes on sugary drinks in Brazil," Working Papers, Department of Economics 2021_06, University of São Paulo (FEA-USP).

  12. Kenneth Gillingham, Matthew Harding, and David Rapson, 2012. "Split Incentives in Residential Energy Consumption," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).

    Cited by:

    1. Schmitz, Hendrik & Madlener, Reinhard, 2021. "Preferences for Energy Retrofit Investments Among Low-income Renters," FCN Working Papers 8/2021, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    2. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2015. "Assessing the Energy-Efficiency Gap," Working Papers 2015.35, Fondazione Eni Enrico Mattei.
    3. Schleich, Joachim & Faure, Corinne & Guetlein, Marie-Charlotte & Tu, Gengyang, 2020. "Conveyance, envy, and homeowner choice of appliances," Energy Economics, Elsevier, vol. 89(C).
    4. 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.
    5. Palmer, Karen & Walls, Margaret, 2015. "Can Benchmarking and Disclosure Laws Provide Incentives for Energy Efficiency Improvements in Buildings?," RFF Working Paper Series dp-15-09, Resources for the Future.
    6. B. Kelsey Jack & Seema Jayachandran & Flavio Malagutti & Sarojini Rao, 2023. "Environmental Externalities and Free-Riding in the Household," Working Papers 2023-13, Princeton University. Economics Department..
    7. Best, Rohan & Burke, Paul J., 2022. "Effects of renting on household energy expenditure: Evidence from Australia," Energy Policy, Elsevier, vol. 166(C).
    8. Jing Liang & Yueming Qiu & Bo Xing, 2021. "Social Versus Private Benefits of Energy Efficiency Under Time-of-Use and Increasing Block Pricing," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 43-75, January.
    9. Broberg, Thomas & Berg, Charlotte & Samakovlis, Eva, 2014. "The economy-wide rebound effect from improved energy efficiency in Swedish industries – A general equilibrium analysis," CERE Working Papers 2014:8, CERE - the Center for Environmental and Resource Economics.
    10. Petrov, Ivan & Ryan, Lisa, 2021. "The landlord-tenant problem and energy efficiency in the residential rental market," Energy Policy, Elsevier, vol. 157(C).
    11. Fischbacher, Urs & Schudy, Simeon & Teyssier, Sabrina, 2021. "Heterogeneous preferences and investments in energy saving measures," Resource and Energy Economics, Elsevier, vol. 63(C).
    12. Fateh Belaid & Thomas Garcia, 2016. "Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data," Post-Print halshs-01366168, HAL.
    13. Spyridaki, Niki-Artemis & Stavrakas, Vassilis & Dendramis, Yiannis & Flamos, Alexandros, 2020. "Understanding technology ownership to reveal adoption trends for energy efficiency measures in the Greek residential sector," Energy Policy, Elsevier, vol. 140(C).
    14. Xu, Xiaojing & Chen, Chien-fei, 2019. "Energy efficiency and energy justice for U.S. low-income households: An analysis of multifaceted challenges and potential," Energy Policy, Elsevier, vol. 128(C), pages 763-774.
    15. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    16. Artur Meynkhard, 2019. "Energy Efficient Development Model for Regions of the Russian Federation: Evidence of Crypto Mining," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 16-21.
    17. Gillingham, Kenneth & Palmer, Karen, 2013. "Bridging the Energy Efficiency Gap: Policy Insights from Economic Theory and Empirical Evidence," RFF Working Paper Series dp-13-02-rev, Resources for the Future.
    18. Henningsen, Geraldine & Wiese, Catharina, 2019. "Do Household Characteristics Really Matter? A Meta-Analysis on the Determinants of Households’ Energy-Efficiency Investments," MPRA Paper 101701, University Library of Munich, Germany.
    19. Mills, Bradford & Schleich, Joachim, 2014. "Household transitions to energy efficient lighting," Energy Economics, Elsevier, vol. 46(C), pages 151-160.
    20. Yueming (Lucy) Qiu & Xin Su & Yi David Wang, 2017. "Factors influencing commercial buildings to obtain green certificates," Applied Economics, Taylor & Francis Journals, vol. 49(20), pages 1937-1949, April.
    21. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins & Robert C. Stowe, 2015. "An Assessment of the Energy-Efficiency Gap and its Implications for Climate-Change Policy," NBER Working Papers 20905, National Bureau of Economic Research, Inc.
    22. Delmas, Magali A. & Kahn, Matthew E. & Locke, Stephen L., 2017. "The private and social consequences of purchasing an electric vehicle and solar panels: Evidence from California," Research in Economics, Elsevier, vol. 71(2), pages 225-235.
    23. Ramos, Ana & Labandeira, Xavier & Löschel, Andreas, 2015. "Pro-environmental households and energy efficiency in Spain," CAWM Discussion Papers 80, University of Münster, Münster Center for Economic Policy (MEP).
    24. Singhal, Puja & Sommer, Stephan & Kaestner, Kathrin & Pahle, Michael, 2023. "Split-incentives in energy efficiency investments? Evidence from rental housing," Ruhr Economic Papers 992, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    25. Löschel, Andreas & Lutz, Benjamin Johannes & Massier, Philipp, 2017. "Credit constraints, energy management practices, and investments in energy saving technologies: German manufacturing in close-up," ZEW Discussion Papers 17-072, ZEW - Leibniz Centre for European Economic Research.
    26. Louis-Gaëtan Giraudet & Sébastien Houde & Joseph Maher, 2018. "Moral Hazard and the Energy Efficiency Gap: Theory and Evidence," Working Papers hal-01420872, HAL.
    27. Louis-Gaëtan Giraudet & Sébastien Houde, 2015. "Double Moral Hazard and the Energy Efficiency Gap," Working Papers hal-01260907, HAL.
    28. Laurent Ott & Sylvain Weber, 2018. "How effective is carbon taxation on residential heating demand? A household-level analysis," IRENE Working Papers 18-09, IRENE Institute of Economic Research.
    29. Laura Abrardi, 2019. "Behavioral barriers and the energy efficiency gap: a survey of the literature," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(1), pages 25-43, March.
    30. Dodd, Tracey & Nelson, Tim, 2022. "Australian household adoption of solar photovoltaics: A comparative study of hardship and non-hardship customers," Energy Policy, Elsevier, vol. 160(C).
    31. Marina Dorokhova & Fernando Ribeiro & António Barbosa & João Viana & Filipe Soares & Nicolas Wyrsch, 2021. "Real-World Implementation of an ICT-Based Platform to Promote Energy Efficiency," Energies, MDPI, vol. 14(9), pages 1-23, April.
    32. Spyridon Karytsas & Eleni Theodoropoulou, 2023. "Awareness and Utilization of Incentive Programs for Household Energy-Saving Renovations: Empirical Findings from Greece," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    33. Peter Newton & Peter Newman, 2013. "The Geography of Solar Photovoltaics (PV) and a New Low Carbon Urban Transition Theory," Sustainability, MDPI, vol. 5(6), pages 1-20, June.
    34. Huse, Cristian & Lucinda, Claudio & Cardoso, Andre Ribeiro, 2020. "Consumer response to energy label policies: Evidence from the Brazilian energy label program," Energy Policy, Elsevier, vol. 138(C).
    35. Benedikt Maciosek & Mehdi Farsi & Sylvain Weber & Martin Jakob, 2022. "The role of tenants in the transition towards more sustainable energy consumption," IRENE Working Papers 22-08, IRENE Institute of Economic Research.
    36. Suter, Jordan F. & Shammin, Md Rumi, 2013. "Returns to residential energy efficiency and conservation measures: A field experiment," Energy Policy, Elsevier, vol. 59(C), pages 551-561.
    37. Belaïd, Fateh & Joumni, Haitham, 2020. "Behavioral attitudes towards energy saving: Empirical evidence from France," Energy Policy, Elsevier, vol. 140(C).
    38. Benedetto Manganelli & Pierluigi Morano & Francesco Tajani & Francesca Salvo, 2019. "Affordability Assessment of Energy-Efficient Building Construction in Italy," Sustainability, MDPI, vol. 11(1), pages 1-17, January.
    39. Louis-Gaëtan Giraudet & Sébastien Houde & Joseph Maher, 2018. "Moral Hazard and the Energy Efficiency Gap: Theory and Evidence," CIRED Working Papers hal-01420872, HAL.
    40. Pierre Fleckinger & Matthieu Glachant & Paul-Hervé Tamokoué Kamga, 2018. "Energy performance certificates and investments in building energy efficiency: a theoretical analysis," Working Papers hal-01952969, HAL.
    41. Preeti Narwal & J. K. Nayak & Shivam Rai, 2022. "Assessing Customers' Moral Disengagement from Reciprocity Concerns in Participative Pricing," Journal of Business Ethics, Springer, vol. 178(2), pages 537-554, June.
    42. Brewer, Dylan, 2022. "Equilibrium sorting and moral hazard in residential energy contracts," Journal of Urban Economics, Elsevier, vol. 129(C).
    43. Chandra Kiran B. Krishnamurthy and Bengt Kriström, 2015. "How large is the Owner-Renter Divide in Energy Efficient Technology? Evidence from an OECD cross-section," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    44. Louis-Gaëtan Giraudet, 2018. "Energy efficiency as a credence good: A review of informational barriers to building energy savings," Working Papers 2018.07, FAERE - French Association of Environmental and Resource Economists.
    45. Huse, Cristian & Lucinda, Claudio & Ribeiro, Andre, 2021. "Assessing the effects of a large temporary energy savings program: Evidence from a developing country," Journal of Environmental Economics and Management, Elsevier, vol. 110(C).
    46. Hope, Alexander John & Booth, Alexander, 2014. "Attitudes and behaviours of private sector landlords towards the energy efficiency of tenanted homes," Energy Policy, Elsevier, vol. 75(C), pages 369-378.
    47. Liu, Nan & Zhao, Yuan & Ge, Jiaqi, 2018. "Do renters skimp on energy efficiency during economic recessions? Evidence from Northeast Scotland," Energy, Elsevier, vol. 165(PA), pages 164-175.
    48. Spurlock, C. Anna & Fujita, K. Sydny, 2022. "Equity implications of market structure and appliance energy efficiency regulation," Energy Policy, Elsevier, vol. 165(C).
    49. Joëlle Noailly, 2010. "Improving the energy efficiency of building: The impact of environmental policy on technological innovation," CPB Discussion Paper 137, CPB Netherlands Bureau for Economic Policy Analysis.
    50. Fanghella, Valeria & Guetlein, Marie-Charlotte & Schleich, Joachim & Sebi, Carine, 2023. "Preferences on financing mechanisms for thermal retrofit measures in multi-owner buildings: A discrete choice experiment with landlords and owner-occupiers in France," Resource and Energy Economics, Elsevier, vol. 74(C).
    51. Oseni, Musiliu O., 2015. "Assessing the consumers’ willingness to adopt a prepayment metering system in Nigeria," Energy Policy, Elsevier, vol. 86(C), pages 154-165.
    52. Louis-Gaëtan Giraudet & S. Houde, 2013. "Double moral hazard and the energy efficiency gap," Post-Print hal-00799725, HAL.
    53. Hendrik Schmitz & Reinhard Madlener, 2016. "Heterogeneity in Price Responsiveness for Residential Space Heating in Germany," SOEPpapers on Multidisciplinary Panel Data Research 877, DIW Berlin, The German Socio-Economic Panel (SOEP).
    54. Broberg, Thomas & Egüez, Alejandro, 2018. "Blame it on the owner — Ownership and energy performance of multi-dwelling buildings," Energy Economics, Elsevier, vol. 72(C), pages 108-119.
    55. Holt, Emily G. & Sunter, Deborah A., 2024. "National disparities in residential energy tax credits in the United States," Energy, Elsevier, vol. 300(C).
    56. Wilkerson, Jordan T. & Cullenward, Danny & Davidian, Danielle & Weyant, John P., 2013. "End use technology choice in the National Energy Modeling System (NEMS): An analysis of the residential and commercial building sectors," Energy Economics, Elsevier, vol. 40(C), pages 773-784.
    57. Xavier Labandeira & Ana Ramos, 2012. "Household Environmental Attitudes and Energy Efficiency in Buildings: Evidence from Spanish Data," Working Papers fa08-2012, Economics for Energy.
    58. Jing Liang & Yueming Qiu & Poornima Padmanabhan, 2017. "Consumers’ Attitudes towards Surcharges on Distributed Renewable Energy Generation and Energy Efficiency Programs," Sustainability, MDPI, vol. 9(8), pages 1-23, August.
    59. Kiso, Takahiko & Chan, H. Ron & Arino, Yosuke, 2022. "Contrasting effects of electricity prices on retrofit and new-build installations of solar PV: Fukushima as a natural experiment," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
    60. Hunt Allcott, 2014. "Paternalism and Energy Efficiency: An Overview," NBER Working Papers 20363, National Bureau of Economic Research, Inc.
    61. Ana Ramos & Alberto Gago & Xavier Labandeira & Pedro Linares, 2014. "The Role of Information for Energy Efficiency in the Residential Sector," Working Papers 04-2014, Economics for Energy.
    62. Garth Heutel, 2017. "Prospect Theory and Energy Efficiency," NBER Working Papers 23692, National Bureau of Economic Research, Inc.
    63. Ghislaine Lang & Bruno Lanz, 2018. "Energy efficiency, information, and the acceptability of rent increases: A survey experiment with tenants," IRENE Working Papers 18-04, IRENE Institute of Economic Research.
    64. Kiran Krishnamurthy, Chandra & Kriström, Bengt, 2013. "How large is the Owner-Renter Divide? Evidence from an OECD cross-section," CERE Working Papers 2013:8, CERE - the Center for Environmental and Resource Economics.
    65. Cellini, Stefano, 2021. "Split incentives and endogenous inattention in home retrofits uptake: a story of selection on unobservables?," Energy Economics, Elsevier, vol. 104(C).
    66. Buylova, Alexandra, 2020. "Spotlight on energy efficiency in Oregon: Investigating dynamics between energy use and socio-demographic characteristics in spatial modeling of residential energy consumption," Energy Policy, Elsevier, vol. 140(C).
    67. Yang, Christopher & Yeh, Sonia & Zakerinia, Saleh & Ramea, Kalai & McCollum, David, 2015. "Achieving California's 80% greenhouse gas reduction target in 2050: Technology, policy and scenario analysis using CA-TIMES energy economic systems model," Energy Policy, Elsevier, vol. 77(C), pages 118-130.
    68. Egüez, Alejandro, 2020. "Energy Efficiency, District Heating and Waste Management," Umeå Economic Studies 979, Umeå University, Department of Economics.
    69. Klinke, Sandra, 2018. "The determinants for adoption of energy supply contracting: Empirical evidence from the Swiss market," Energy Policy, Elsevier, vol. 118(C), pages 221-231.
    70. Liang, Jing & Qiu, Yueming & James, Timothy & Ruddell, Benjamin L. & Dalrymple, Michael & Earl, Stevan & Castelazo, Alex, 2018. "Do energy retrofits work? Evidence from commercial and residential buildings in Phoenix," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 726-743.
    71. Soyoung Yoo & Jiyong Eom & Ingoo Han, 2020. "Factors Driving Consumer Involvement in Energy Consumption and Energy-Efficient Purchasing Behavior: Evidence from Korean Residential Buildings," Sustainability, MDPI, vol. 12(14), pages 1-23, July.
    72. Areti Kontogianni & Dimitris Damigos & Michail Skourtos & Christos Tourkolias & Eleanor Denny & Ibon Galarraga & Steffen Kallbekken & Edin Lakić, 2021. "Model Validity and Transferability Informing Behavioral Energy Policies," Energies, MDPI, vol. 14(11), pages 1-20, May.
    73. Maya M. Papineau, 2015. "Setting the Standard: Commercial Electricity Consumption Responses to Energy Codes," Carleton Economic Papers 15-04, Carleton University, Department of Economics.
    74. Liang, Jing & Qiu, Jiehong & Wang, Xiangrui & Wu, Jikai & Yang, Sansi & Zhou, You, 2024. "Examining energy inequality: The impact of household wealth on heterogeneous response to temperatures," Energy Policy, Elsevier, vol. 190(C).
    75. Matthew E. Kahn & Randall Walsh, 2014. "Cities and the Environment," NBER Working Papers 20503, National Bureau of Economic Research, Inc.
    76. Lena Borg & Lovisa Högberg, 2014. "Organization of Laundry Facility Types and Energy Use in Owner-Occupied Multi-Family Buildings in Sweden," Sustainability, MDPI, vol. 6(6), pages 1-18, June.
    77. Singhal, Puja & Pahle, Michael & Kalkuhl, Matthias & Levesque, Antoine & Sommer, Stephan & Berneiser, Jessica, 2022. "Beyond good faith: Why evidence-based policy is necessary to decarbonize buildings cost-effectively in Germany," Energy Policy, Elsevier, vol. 169(C).
    78. Enrica De Cian & Filippo Pavanello & Teresa Randazzo & Malcolm Mistry & Marinella Davide, 2019. "Does climate influence households' thermal comfort decisions?," Working Papers 2019:02, Department of Economics, University of Venice "Ca' Foscari".
    79. Lang, Ghislaine & Lanz, Bruno, 2022. "Climate policy without a price signal: Evidence on the implicit carbon price of energy efficiency in buildings," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).
    80. Christian A. Oberst & Reinhard Madlener, 2015. "Prosumer Preferences Regarding the Adoption of Micro†Generation Technologies: Empirical Evidence for German Homeowners," Working Papers 2015.07, International Network for Economic Research - INFER.
    81. Im, Jongho & Seo, Youngme & Cetin, Kristen S. & Singh, Jasmeet, 2017. "Energy efficiency in U.S. residential rental housing: Adoption rates and impact on rent," Applied Energy, Elsevier, vol. 205(C), pages 1021-1033.
    82. Giraudet, Louis-Gaëtan, 2020. "Energy efficiency as a credence good: A review of informational barriers to energy savings in the building sector," Energy Economics, Elsevier, vol. 87(C).
    83. Matthew E. Kahn & Nils Kok & Peng Liu, 2016. "Is California More Energy Efficient than the Rest of the Nation? Evidence from Commercial Real Estate," NBER Working Papers 21912, National Bureau of Economic Research, Inc.
    84. Estelle Cantillon, 2023. "Phase-out policies," ULB Institutional Repository 2013/360041, ULB -- Universite Libre de Bruxelles.
    85. Rapson, David, 2014. "Durable goods and long-run electricity demand: Evidence from air conditioner purchase behavior," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 141-160.
    86. Magali A. Delmas & Matthew E. Kahn & Stephen Locke, 2014. "Accidental Environmentalists? Californian Demand for Teslas and Solar Panels," NBER Working Papers 20754, National Bureau of Economic Research, Inc.
    87. Knuutila, Mirika & Vuorio, Anna, 2023. "Temporal-orientation in organizational decision-making: Factors affecting willingness to execute energy efficiency investments in business premises," Energy, Elsevier, vol. 271(C).
    88. Martey, Edward, 2019. "Tenancy and energy choice for lighting and cooking: Evidence from Ghana," Energy Economics, Elsevier, vol. 80(C), pages 570-581.
    89. Hector H. Sandoval & Pedro I. Hancevic, 2023. "Split Incentives in Emerging Countries," Working Papers 242, Red Nacional de Investigadores en Economía (RedNIE).
    90. Chaudhuri, Kausik & Huaccha, Gissell, 2023. "Who bears the energy cost? Local income deprivation and the household energy efficiency gap," Energy Economics, Elsevier, vol. 127(PA).
    91. Hancevic, Pedro I. & Sandoval, Hector H., 2023. "Solar panel adoption among Mexican small and medium-sized commercial and service businesses," Energy Economics, Elsevier, vol. 126(C).
    92. Roberts, M.B. & Bruce, A. & MacGill, I., 2019. "Opportunities and barriers for photovoltaics on multi-unit residential buildings: Reviewing the Australian experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 95-110.
    93. März, Steven & Stelk, Ines & Stelzer, Franziska, 2022. "Are tenants willing to pay for energy efficiency? Evidence from a small-scale spatial analysis in Germany," Energy Policy, Elsevier, vol. 161(C).
    94. 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).
    95. Weber, Ines & Wolff, Anna, 2018. "Energy efficiency retrofits in the residential sector – analysing tenants’ cost burden in a German field study," Energy Policy, Elsevier, vol. 122(C), pages 680-688.
    96. Carroll, James & Aravena, Claudia & Denny, Eleanor, 2016. "Low energy efficiency in rental properties: Asymmetric information or low willingness-to-pay?," Energy Policy, Elsevier, vol. 96(C), pages 617-629.
    97. Charlier, Dorothée, 2015. "Energy efficiency investments in the context of split incentives among French households," Energy Policy, Elsevier, vol. 87(C), pages 465-479.
    98. Jens Ewald & Thomas Sterner & Eoin Ó Broin & Érika Mata, 2021. "Saving energy in residential buildings: the role of energy pricing," Climatic Change, Springer, vol. 167(1), pages 1-20, July.
    99. Li, Jia & Just, Richard E., 2018. "Modeling household energy consumption and adoption of energy efficient technology," Energy Economics, Elsevier, vol. 72(C), pages 404-415.
    100. Qiu, Yueming & Kahn, Matthew E., 2019. "Impact of voluntary green certification on building energy performance," Energy Economics, Elsevier, vol. 80(C), pages 461-475.
    101. Galvin, Ray & Sunikka-Blank, Minna, 2018. "Economic Inequality and Household Energy Consumption in High-income Countries: A Challenge for Social Science Based Energy Research," Ecological Economics, Elsevier, vol. 153(C), pages 78-88.
    102. Massimo Filippini & Lin Zhang, 2019. "Impacts of heat metering and efficiency retrofit policy on residential energy consumption in China," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(2), pages 203-216, April.
    103. Copiello, Sergio, 2016. "Leveraging energy efficiency to finance public-private social housing projects," Energy Policy, Elsevier, vol. 96(C), pages 217-230.
    104. Evgeniy Lopatin, 2019. "Methodological Approaches to Research Resource Saving Industrial Enterprises," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 181-187.
    105. Myers, Erica, 2020. "Asymmetric information in residential rental markets: Implications for the energy efficiency gap," Journal of Public Economics, Elsevier, vol. 190(C).
    106. Esplin, Ryan & Nelson, Tim, 2022. "Redirecting solar feed in tariffs to residential battery storage: Would it be worth it?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 373-389.
    107. Ferentinos, Konstantinos & Gibberd, Alex & Guin, Benjamin, 2023. "Stranded houses? The price effect of a minimum energy efficiency standard," Energy Economics, Elsevier, vol. 120(C).
    108. Rana, Anber & Sadiq, Rehan & Alam, M. Shahria & Karunathilake, Hirushie & Hewage, Kasun, 2021. "Evaluation of financial incentives for green buildings in Canadian landscape," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    109. Cl'emence Alasseur & Ivar Ekeland & Romuald Elie & Nicol'as Hern'andez Santib'a~nez & Dylan Possamai, 2017. "An adverse selection approach to power pricing," Papers 1706.01934, arXiv.org, revised Sep 2019.
    110. Tsvetan Tsvetanov & Kathleen Segerson, 2014. "The Welfare Effects of Energy Efficiency Standards When Choice Sets Matter," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(1), pages 233-271.
    111. Gosnell, Greer & McCoy, Daire, 2023. "Market failures and willingness to accept smart meters: Experimental evidence from the UK," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    112. Ángeles Longarela-Ares & Anxo Calvo-Silvosa & José-Benito Pérez-López, 2020. "The Influence of Economic Barriers and Drivers on Energy Efficiency Investments in Maritime Shipping, from the Perspective of the Principal-Agent Problem," Sustainability, MDPI, vol. 12(19), pages 1-42, September.
    113. Nie, Hongguang & Kemp, René & Xu, Jin-Hua & Vasseur, Véronique & Fan, Ying, 2020. "Split incentive effects on the adoption of technical and behavioral energy-saving measures in the household sector in Western Europe," Energy Policy, Elsevier, vol. 140(C).
    114. Trotta, Gianluca, 2018. "The determinants of energy efficient retrofit investments in the English residential sector," Energy Policy, Elsevier, vol. 120(C), pages 175-182.
    115. Stéphane Poncin, 2018. "Energy policy tools in Luxembourg - Assessing their impact on households’ space heating energy consumption and CO2 emissions by means of the LuxHEI model," DEM Discussion Paper Series 18-23, Department of Economics at the University of Luxembourg.

  13. Burda, Martin & Harding, Matthew & Hausman, Jerry, 2012. "A Poisson mixture model of discrete choice," Journal of Econometrics, Elsevier, vol. 166(2), pages 184-203.

    Cited by:

    1. Matthew Harding & Michael Lovenheim, 2014. "The Effect of Prices on Nutrition: Comparing the Impact of Product- and Nutrient-Specific Taxes," NBER Working Papers 19781, National Bureau of Economic Research, Inc.
    2. Buddhavarapu, Prasad & Scott, James G. & Prozzi, Jorge A., 2016. "Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 492-510.
    3. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Incorporating Search and Sales Information in Demand Estimation," Cowles Foundation Discussion Papers 2313R1, Cowles Foundation for Research in Economics, Yale University, revised Mar 2023.
    4. Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2017. "Nonseparable multinomial choice models in cross-section and panel data," CeMMAP working papers 33/17, Institute for Fiscal Studies.
    5. Victor Chernozhukov & Jerry A. Hausman & Whitney K. Newey, 2019. "Demand Analysis with Many Prices," NBER Working Papers 26424, National Bureau of Economic Research, Inc.
    6. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Incorporating Search and Sales Information in Demand Estimation," Cowles Foundation Discussion Papers 2313, Cowles Foundation for Research in Economics, Yale University.
    7. Murat K. Munkin, 2022. "Count Roy model with finite mixtures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1160-1181, September.
    8. Marques, Filipe J. & Loingeville, Florence, 2016. "Improved near-exact distributions for the product of independent Generalized Gamma random variables," Computational Statistics & Data Analysis, Elsevier, vol. 102(C), pages 55-66.
    9. Chen, Roger B., 2018. "Models of count with endogenous choices," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 862-875.
    10. Matzkin, Rosa L., 2019. "Constructive identification in some nonseparable discrete choice models," Journal of Econometrics, Elsevier, vol. 211(1), pages 83-103.
    11. Sfeir, Georges & Abou-Zeid, Maya & Kaysi, Isam, 2020. "Multivariate count data models for adoption of new transport modes in an organization-based context," Transport Policy, Elsevier, vol. 91(C), pages 59-75.
    12. Mat'uv{s} Maciak & Ostap Okhrin & Michal Pev{s}ta, 2019. "Infinitely Stochastic Micro Forecasting," Papers 1908.10636, arXiv.org, revised Sep 2019.

  14. Marcus Alexander & Matthew Harding & Carlos Lamarche, 2011. "Quantifying the impact of economic crises on infant mortality in advanced economies," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3313-3323.

    Cited by:

    1. Giacomo De Giorgi & Matthew Harding & Gabriel Vasconcelos, 2021. "Predicting Mortality from Credit Reports," Papers 2111.03662, arXiv.org.

  15. Harding, Matthew & Lamarche, Carlos, 2011. "Least squares estimation of a panel data model with multifactor error structure and endogenous covariates," Economics Letters, Elsevier, vol. 111(3), pages 197-199, June.

    Cited by:

    1. Jonathan R. W. Temple & Nicolas Van de Sijpe, 2014. "Foreign Aid and Domestic Absorption," CSAE Working Paper Series 2014-01, Centre for the Study of African Economies, University of Oxford.
    2. Badi Baltagi & Qu Feng & Chihwa Kao, 2019. "Structural Changes in Heterogeneous Panels with Endogenous Regressors," Center for Policy Research Working Papers 214, Center for Policy Research, Maxwell School, Syracuse University.
    3. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.
    4. Kapetanios, G. & Price, S. & Tasiou, M. & Ventouri, A., 2020. "State-level wage Phillips curves," Working Papers 20/08, Department of Economics, City University London.
    5. Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
    6. G. Forchini & Bin Jiang & Bin Peng, 2015. "Consistent Estimation in Large Heterogeneous Panels with Multifactor Structure Endogeneity," Monash Econometrics and Business Statistics Working Papers 14/15, Monash University, Department of Econometrics and Business Statistics.
    7. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. A. Mahabbati & A. Izady & M. Mousavi Baygi & K. Davary & S. M. Hasheminia, 2017. "Daily soil temperature modeling using ‘panel-data’ concept," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(8), pages 1385-1401, June.
    9. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    10. Matthew Harding & David Rapson, 2019. "Does Absolution Promote Sin? A Conservationist’s Dilemma," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(3), pages 923-955, July.
    11. Eibinger, Tobias & Deixelberger, Beate & Manner, Hans, 2024. "Panel data in environmental economics: Econometric issues and applications to IPAT models," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    12. Timothy Neal, 2016. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15, School of Economics, The University of New South Wales.
    13. Gerdie Everaert & Tom De Groote, 2016. "Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 428-463, March.
    14. Carlos Vladimir Rodríguez-Caballero, 2016. "Panel Data with Cross-Sectional Dependence Characterized by a Multi-Level Factor Structure," CREATES Research Papers 2016-31, Department of Economics and Business Economics, Aarhus University.
    15. Sinem Hacıoğlu Hoke & George Kapetanios, 2021. "Common correlated effect cross‐sectional dependence corrections for nonlinear conditional mean panel models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 125-150, January.
    16. Forchini Giovanni & Jiang Bin & Peng Bin, 2020. "Instrumental Variables Estimation in Large Heterogeneous Panels with Multifactor Structure," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-22, January.
    17. Ngoc Thien Anh Pham & Nicholas Sim, 2020. "Shipping cost and development of the landlocked developing countries: Panel evidence from the common correlated effects approach," The World Economy, Wiley Blackwell, vol. 43(4), pages 892-920, April.
    18. Giovanni Forchini & Bin Jiang & Bin Peng, 2015. "Consistent Estimation in Large Heterogeneous Panels with Multifactor Structure and Endogeneity," School of Economics Discussion Papers 0315, School of Economics, University of Surrey.
    19. Boneva, Lena & CLoyne, James & Weale, Martin & Wieladek, Tomasz, 2016. "Firms’ expectations and price-setting: evidence from micro data," Discussion Papers 48, Monetary Policy Committee Unit, Bank of England.
    20. Lee, Nayoung & Moon, Hyungsik Roger & Weidner, Martin, 2012. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," Economics Letters, Elsevier, vol. 117(1), pages 239-242.
    21. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 47/14, Institute for Fiscal Studies.
    22. Ignace De Vos & Gerdie Everaert, 2016. "Bias-Corrected Common Correlated Effects Pooled Estimation In Homogeneous Dynamic Panels," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/920, Ghent University, Faculty of Economics and Business Administration.
    23. Ignace De Vos & Gerdie Everaert & Vasilis Sarafidis, 2021. "A method for evaluating the rank condition for CCE estimators," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1013, Ghent University, Faculty of Economics and Business Administration.
    24. Matthew Harding & Carlos Lamarche & Chris Muris, 2022. "Estimation of a Factor-Augmented Linear Model with Applications Using Student Achievement Data," Papers 2203.03051, arXiv.org.
    25. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    26. Bing Jiang & Yanrong Yang & Jiti Gao & Cheng Hsiao, 2017. "Recursive estimation in large panel data models: Theory and practice," Monash Econometrics and Business Statistics Working Papers 5/17, Monash University, Department of Econometrics and Business Statistics.
    27. Hacioglu Hoke, Sinem & Kapetanios, George, 2017. "Common correlated effect cross-sectional dependence corrections for non-linear conditional mean panel models," Bank of England working papers 683, Bank of England.
    28. Weili Ding & Steven F. Lehrer, 2014. "Understanding the Role of Time-Varying Unobserved Ability Heterogeneity in Education Production," NBER Working Papers 19937, National Bureau of Economic Research, Inc.
    29. Giovanni Forchini & Bin Jiang & Bin Peng, 2018. "TSLS and LIML Estimators in Panels with Unobserved Shocks," Econometrics, MDPI, vol. 6(2), pages 1-12, April.
    30. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    32. Mirkina, Irina, 2018. "FDI and sanctions: An empirical analysis of short- and long-run effects," European Journal of Political Economy, Elsevier, vol. 54(C), pages 198-225.

  16. Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.

    Cited by:

    1. Galina Besstremyannaya, 2014. "The adverse effects of value-based purchasing in health care: dynamic quantile regression with endogeneity," Discussion Papers 14-006, Stanford Institute for Economic Policy Research.
    2. Wichman, Casey J. & Taylor, Laura O. & von Haefen, Roger H., 2016. "Conservation policies: Who responds to price and who responds to prescription?," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 114-134.
    3. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Spyridon Boikos & Theodore Panagiotidis & Georgios Voucharas, 2021. "Financial Development, Reforms and Growth," Bank of Lithuania Working Paper Series 98, Bank of Lithuania.
    5. Chang, Chun-Ping & Wen, Jun & Dong, Minyi & Hao, Yu, 2018. "Does government ideology affect environmental pollutions? New evidence from instrumental variable quantile regression estimations," Energy Policy, Elsevier, vol. 113(C), pages 386-400.
    6. Guglielmo Maria Caporale & Carlos Pestana Barros & Bruno Damasio, 2013. "Foreign direct investment in the Asian economies," NCID Working Papers 10/2013, Navarra Center for International Development, University of Navarra.
    7. David Powell, 2013. "A New Framework for Estimation of Quantile Treatment Effects Nonseparable Disturbance in the Presence of Covariates," Working Papers WR-824-1, RAND Corporation.
    8. Adam Rosen, 2009. "Set identification via quantile restrictions in short panels," CeMMAP working papers CWP26/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Diebolt, Claude & Mishra, Tapas & Perrin, Faustine, 2015. "Did Gender-Bias Matter in the Quantity-Quality Trade-off in 19th Century France?," Lund Papers in Economic History 141, Lund University, Department of Economic History.
    10. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Kyklos, Wiley Blackwell, vol. 68(4), pages 552-576, November.
    11. Pedro J. Hernández, 2020. "Reassessing the link between firm size and exports," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(2), pages 207-223, June.
    12. David Powell & Joachim Wagner, 2011. "The Exporter Productivity Premium along the Productivity Distribution Evidence from Unconditional Quantile Regression with Firm Fixed Effects," Working Papers WR-837, RAND Corporation.
    13. Pei-Ing Wu & Je-Liang Liou & Hung-Yi Chang, 2015. "Alternative exploration of EKC for $$\hbox {CO}_{2}$$ CO 2 emissions: inclusion of meta-technical ratio in quantile regression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 57-73, January.
    14. David Powell, 2010. "Unconditional Quantile Treatment Effects in the Presence of Covariates," Working Papers WR-816, RAND Corporation.
    15. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Working Papers IES 2017/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
    16. Emmanouil Kitsios & Manasa Patnam, 2016. "Estimating Fiscal Multipliers with Correlated Heterogeneity," IMF Working Papers 2016/013, International Monetary Fund.
    17. Li Tao & Yuanjie Zhang & Maozai Tian, 2019. "Quantile Regression for Dynamic Panel Data Using Hausman–Taylor Instrumental Variables," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1033-1069, March.
    18. Meral KAGITCI & Leonardo BADEA & Vasile Cosmin NICULA, 2021. "The Catch-up Effect of Economic Growth. Evidence from the European Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 76-86, December.
    19. Harding, Matthew & Lamarche, Carlos, 2014. "A Hausman–Taylor instrumental variable approach to the penalized estimation of quantile panel models," Economics Letters, Elsevier, vol. 124(2), pages 176-179.
    20. Mohammad Arshad Rahman & Angela Vossmeyer, 2019. "Estimation and Applications of Quantile Regression for Binary Longitudinal Data," Papers 1909.05560, arXiv.org.
    21. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
    22. José Manuel Pastor & Jose M. Pavía & Lorenzo Serrano & Emili Tortosa-Ausina, 2017. "Rich regions, poor regions and bank branch deregulation in Spain," Regional Studies, Taylor & Francis Journals, vol. 51(11), pages 1678-1694, November.
    23. Stefano Bianchini & Federico Tamagni & Gabriele Pellegrino, 2016. "Innovation strategies and firm growth," Working Papers 2016/10, Institut d'Economia de Barcelona (IEB).
    24. Alessia Matano & Paolo Naticchioni, 2009. "Wage distribution and the spatial sorting of workers and firms," Working Papers - Dipartimento di Economia 8-DEISFOL, Dipartimento di Economia, Sapienza University of Rome, revised 2009.
    25. Guilherme Resende Oliveira & Benjamin Miranda Tabak & José Guilherme de Lara Resende & Daniel Oliveira Cajueiro, 2012. "Determinantes da Estrutura de Capital das Empresas Brasileiras: uma abordagem em regressão quantílica," Working Papers Series 272, Central Bank of Brazil, Research Department.
    26. Brandon J. Sheridan & Rishav Bista & Erik Figueiredo, 2020. "Growth takeoffs and trade margins: a quantile regression approach," Empirical Economics, Springer, vol. 59(1), pages 275-294, July.
    27. Shin-Yi Chou & Echu Liu & Min-Jen Lin & Jin-Tan Liu, 2015. "Better peers, better scores? A study of twin junior high school graduates in Taiwan," Applied Economics, Taylor & Francis Journals, vol. 47(32), pages 3462-3481, July.
    28. David Powell & Joachim Wagner, 2021. "The Exporter Productivity Premium Along the Productivity Distribution: Evidence from Quantile Regression with Nonadditive Firm Fixed Effects," World Scientific Book Chapters, in: Joachim Wagner (ed.), MICROECONOMETRIC STUDIES OF FIRMS’ IMPORTS AND EXPORTS Advanced Methods of Analysis and Evidence from German Enterprises, chapter 9, pages 121-149, World Scientific Publishing Co. Pte. Ltd..
    29. Bonev, Petyo & Glachant, Matthieu & Söderberg, Magnus, 2020. "Testing the regulatory threat hypothesis: Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 62(C).
    30. Jetter, Michael & Laudage, Sabine & Stadelmann, David, 2016. "The Intimate Link between Income Levels and Life Expectancy: Global Evidence from 213 Years," IZA Discussion Papers 10015, Institute of Labor Economics (IZA).
    31. David Powell & Joachim Wagner, 2010. "The Exporter Productivity Premium along the Productivity Distribution: First Evidence from a Quantile Regression Approach for Fixed Effects Panel Data Models," Working Paper Series in Economics 182, University of Lüneburg, Institute of Economics.
    32. Harding, Matthew & Lamarche, Carlos, 2013. "Penalized Quantile Regression with Semiparametric Correlated Effects: Applications with Heterogeneous Preferences," IZA Discussion Papers 7741, Institute of Labor Economics (IZA).
    33. Alessia Matano & Paolo Naticchioni, 2011. "Rent Sharing as a Driver of the Glass Ceiling Effect," Working Papers - Dipartimento di Economia 12-DEISFOL, Dipartimento di Economia, Sapienza University of Rome, revised 2011.
    34. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 47/14, Institute for Fiscal Studies.
    35. Su Liangjun & Tadao Hoshino, 2015. "Sieve Instrumental Variable Quantile Regression Estimation of Functional Coefficient Models," Working Papers 01-2015, Singapore Management University, School of Economics.
    36. Jetter, Michael & Agudelo, Alejandra Montoya & Hassan, Andrés Ramírez, 2015. "The Effect of Democracy on Corruption: Income is Key," World Development, Elsevier, vol. 74(C), pages 286-304.
    37. Galina Besstremyannaya, 2014. "The efficiency of labor matching and remuneration reforms: a panel data quantile regression approach with endogenous treatment variables," Working Papers w0206, New Economic School (NES).
    38. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.
    39. Claude Diebolt & Tapas Mishra & Faustine Perrin, 2021. "Gender empowerment as an enforcer of individuals’ choice between education and fertility : Evidence from 19th century France," Post-Print hal-03345562, HAL.
    40. Li, Tong & Oka, Tatsushi, 2015. "Set identification of the censored quantile regression model for short panels with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 363-377.
    41. Iván Arribas & Jesús Peiró-Palomino & Emili Tortosa-Ausina, 2015. "Is full banking integration desirable?," Working Papers 2015/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    42. Hernández Martínez, Pedro Jesús, 2016. "Reassessing the link between firm size and exports," Economics Discussion Papers 2016-25, Kiel Institute for the World Economy (IfW Kiel).
    43. Carlos Lamarche, 2013. "Industry-wide work rules and productivity: evidence from Argentine union contract data," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-25, December.
    44. Weili Ding & Steven F. Lehrer, 2014. "Understanding the Role of Time-Varying Unobserved Ability Heterogeneity in Education Production," NBER Working Papers 19937, National Bureau of Economic Research, Inc.
    45. Travis A. Smith, 2017. "Do School Food Programs Improve Child Dietary Quality?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(2), pages 339-356.
    46. Steven Parker, 2020. "Gasoline Demand in Middle-Income Countries," Economics Bulletin, AccessEcon, vol. 40(4), pages 2790-2801.
    47. Galina Besstremyannaya, 2014. "The efficiency of labor matching and remuneration reforms: a panel data quantile regression approach with endogenous treatment variables," Working Papers w0206, Center for Economic and Financial Research (CEFIR).
    48. Sieger, Philip, 2013. "Job Losses and Criminal Gains: Analyzing the Effect of Unemployment on Criminal Activity," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79929, Verein für Socialpolitik / German Economic Association.
    49. Behera, Deepak Kumar & Dash, Umakant, 2019. "Prioritization of government expenditure on health in India: A fiscal space perspective," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    50. Philip Kostov & Julie Le Gallo, 2018. "What role for human capital in the growth process: new evidence from endogenous latent factor panel quantile regressions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(5), pages 501-527, November.
    51. Galina Besstremyannaya, 2015. "Heterogeneous effect of residency matching and prospective payment on labor returns and hospital scale economies," Discussion Papers 15-001, Stanford Institute for Economic Policy Research.
    52. Andini, Corrado & Andini, Monica, 2015. "A Note on Unemployment Persistence and Quantile Parameter Heterogeneity," IZA Discussion Papers 8819, Institute of Labor Economics (IZA).
    53. Yonggang Ji & Haifang Shi, 2020. "Bayesian variable selection in linear quantile mixed models for longitudinal data with application to macular degeneration," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-34, October.
    54. Li Tao & Lingnan Tai & Manling Qian & Maozai Tian, 2023. "A New Instrumental-Type Estimator for Quantile Regression Models," Mathematics, MDPI, vol. 11(15), pages 1-26, August.
    55. Fenfen Wei & Nanping Feng & Kevin H. Zhang, 2017. "Innovation Capability and Innovation Talents: Evidence from China Based on a Quantile Regression Approach," Sustainability, MDPI, vol. 9(7), pages 1-15, July.
    56. Entorf, Horst & Sieger, Philip, 2014. "Does the Link between Unemployment and Crime Depend on the Crime Level? A Quantile Regression Approach," IZA Discussion Papers 8334, Institute of Labor Economics (IZA).
    57. Genya Kobayashi & Hideo Kozumi, 2012. "Bayesian analysis of quantile regression for censored dynamic panel data," Computational Statistics, Springer, vol. 27(2), pages 359-380, June.
    58. Dogan, Eyup & Altinoz, Buket & Tzeremes, Panayiotis, 2020. "The analysis of ‘Financial Resource Curse’ hypothesis for developed countries: Evidence from asymmetric effects with quantile regression," Resources Policy, Elsevier, vol. 68(C).
    59. Mulalo Mamburu, 2018. "On the persistence of growth for South African firms," WIDER Working Paper Series wp-2018-74, World Institute for Development Economic Research (UNU-WIDER).
    60. Dary, Stanley K. & James, Harvey S., 2019. "Does investment in trade credit matter for profitability? Evidence from publicly listed agro-food firms," Research in International Business and Finance, Elsevier, vol. 47(C), pages 237-250.
    61. Smith, Travis A., 2013. ""Billions and Billions Served" Heterogeneous Effects of Food Source on Child Dietary Quality," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151212, Agricultural and Applied Economics Association.
    62. Gustavo A. Crespi & Alessandro Maffioli & Pierre Mohnen & Gonzalo Vázquez, 2011. "Evaluating the Impact of Science, Technology and Innovation Programs: a Methodological Toolkit," SPD Working Papers 1104, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    63. David Powell, 2020. "Does Labor Supply Respond to Transitory Income? Evidence from the Economic Stimulus Payments of 2008," Journal of Labor Economics, University of Chicago Press, vol. 38(1), pages 1-38.
    64. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    65. Dogan, Eyup & Altinoz, Buket & Madaleno, Mara & Taskin, Dilvin, 2020. "The impact of renewable energy consumption to economic growth: A replication and extension of Inglesi-Lotz (2016)," Energy Economics, Elsevier, vol. 90(C).
    66. Xu, Feng & Wang, Zhanqi & Chi, Guangqing & Zhang, Zhexi, 2020. "The impacts of population and agglomeration development on land use intensity: New evidence behind urbanization in China," Land Use Policy, Elsevier, vol. 95(C).
    67. Chen, Xia & Fu, Qiang & Chang, Chun-Ping, 2021. "What are the shocks of climate change on clean energy investment: A diversified exploration," Energy Economics, Elsevier, vol. 95(C).
    68. Duong Phuong Thao Pham & Thi Cam Ha Huynh, 2020. "The Impact of Trade Credit Investment on Manufacturing Firms' Profitability: Evidence from Vietnam," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(4), pages 775-796.
    69. Jian Hou & Shenyang Yang & Guoliang Fan & Hongxia Xu, 2024. "The impact of energy consumption on carbon emissions intensity in China: evidence from a dynamic panel quantile regression model," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 19, pages 268-288.
    70. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    71. Zhang, Yingying & Wang, Huixia Judy & Zhu, Zhongyi, 2019. "Quantile-regression-based clustering for panel data," Journal of Econometrics, Elsevier, vol. 213(1), pages 54-67.
    72. Paniagua, Jordi & Figueiredo, Erik & Sapena, Juan, 2015. "Quantile regression for the FDI gravity equation," Journal of Business Research, Elsevier, vol. 68(7), pages 1512-1518.
    73. Harding, Matthew & Lamarche, Carlos, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, Institute of Labor Economics (IZA).
    74. Ilin, Cornelia & Shi, Guanming, 2016. "Competition, Price Dispersion and Capacity Constraints: The Case of the U.S. Corn Seed Industry," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236532, Agricultural and Applied Economics Association.
    75. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.
    76. Herman Sahni & Christian Nsiah & Bichaka Fayissa, 2021. "The African economic growth experience and tourism receipts: A threshold analysis and quantile regression approach," Tourism Economics, , vol. 27(5), pages 915-932, August.
    77. Panayiotis Tzeremes, 2022. "The Asymmetric Effects of Regional House Prices in the UK: New Evidence from Panel Quantile Regression Framework," Studies in Microeconomics, , vol. 10(1), pages 7-22, June.
    78. Marcus Alexander & Matthew Harding & Carlos Lamarche, 2011. "Quantifying the impact of economic crises on infant mortality in advanced economies," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3313-3323.
    79. Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    80. Bang, James T. & Mitra, Aniruddha & Wunnava, Phanindra V., 2016. "Do remittances improve income inequality? An instrumental variable quantile analysis of the Kenyan case," Economic Modelling, Elsevier, vol. 58(C), pages 394-402.
    81. David Powell, 2014. "Did the Economic Stimulus Payments of 2008 Reduce Labor Supply? Evidence from Quantile Panel Data Estimation," Working Papers WR-710-3, RAND Corporation.

  17. Michael Frakes & Matthew Harding, 2009. "The Deterrent Effect of Death Penalty Eligibility: Evidence from the Adoption of Child Murder Eligibility Factors," American Law and Economics Review, American Law and Economics Association, vol. 11(2), pages 451-497.

    Cited by:

    1. Gebhard Kirchgässner, 2011. "Econometric Estimates of Deterrence of the Death Penalty: Facts or Ideology?," CREMA Working Paper Series 2011-10, Center for Research in Economics, Management and the Arts (CREMA).
    2. Theodore Eisenberg & Christoph Engel, 2012. "Assuring Adequate Deterrence in Tort: A Public Good Experiment," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2012_07, Max Planck Institute for Research on Collective Goods.

  18. Burda, Martin & Harding, Matthew & Hausman, Jerry, 2008. "A Bayesian mixed logit-probit model for multinomial choice," Journal of Econometrics, Elsevier, vol. 147(2), pages 232-246, December.
    See citations under working paper version above.
  19. Harding, Matthew C., 2008. "Explaining the single factor bias of arbitrage pricing models in finite samples," Economics Letters, Elsevier, vol. 99(1), pages 85-88, April.

    Cited by:

    1. Marie-Hélène Broihanne & Maxime Merli & Patrick Roger, 2016. "Diversification, gambling and market forces," Review of Quantitative Finance and Accounting, Springer, vol. 47(1), pages 129-157, July.
    2. Chadwick, Meltem, 2010. "Performance of Bayesian Latent Factor Models in Measuring Pricing Errors," MPRA Paper 79060, University Library of Munich, Germany.
    3. Patrick Roger & Marie-Hélène Broihanne & Maxime Merli, 2012. "In search of positive skewness: the case of individual investors," Working Papers of LaRGE Research Center 2012-04, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    4. Jaskowski, M. & McAleer, M.J., 2018. "Spurious Cross-Sectional Dependence in Credit Spread Changes," Econometric Institute Research Papers EI 208-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Edoardo Saccenti & Marieke E. Timmerman, 2017. "Considering Horn’s Parallel Analysis from a Random Matrix Theory Point of View," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 186-209, March.

  20. Matthew C. Harding & Jerry Hausman, 2007. "Using A Laplace Approximation To Estimate The Random Coefficients Logit Model By Nonlinear Least Squares," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1311-1328, November.
    See citations under working paper version above.

Chapters

    Sorry, no citations of chapters recorded.

Books

  1. Quirke, Derek & Harding, Matthew & Vincent, David P. & Garrett, David, 2003. "Effects of Globalisation and Economic Development on the Asian Livestock Sector," Monographs, Australian Centre for International Agricultural Research, number 114079.

    Cited by:

    1. Shah, Jignesh & Dave, Darshana, 2010. "A Shift from Crop-Mixed Traditional Dairying to Market- Oriented Organised Dairy Farming – Plausible Factors Responsible for Structural Transformation in Indian Dairy Sector," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 65(2), pages 1-10.
    2. Paul, B.K. & Epper, C.A. & Tschopp, D.J. & Long, C.T.M. & Tungani, V. & Burra, D. & Hok, L. & Phengsavanh, P. & Douxchamps, S., 2022. "Crop-livestock integration provides opportunities to mitigate environmental trade-offs in transitioning smallholder agricultural systems of the Greater Mekong Subregion," Agricultural Systems, Elsevier, vol. 195(C).

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.