IDEAS home Printed from https://ideas.repec.org/p/ajk/ajkdps/124.html
   My bibliography  Save this paper

Studying Information Acquisition in the Field: A Practical Guide and Review

Author

Listed:
  • Francesco Capozza

    (Erasmus University Rotterdam, Tinbergen Institute)

  • Ingar Haaland

    (University of Bergen and CESifo)

  • Christopher Roth

    (University of Cologne, ECONtribute, briq, CESifo, CEPR, CAGE Warwick)

  • Johannes Wohlfart

    (Department of Economics and CEBI, University of Copenhagen, CESifo, Danish Finance Institute)

Abstract

We review the emerging literature on information acquisition in field settings. We first document an increase in studies on information acquisition and review relevant studies in different subfields of economics, including macroeconomics, political economy, labor economics, health economics, and finance. We next provide an overview of empirical tech-niques to measure information acquisition and discuss the advantages and disadvantages of different methods. We then discuss how one can design studies to test the predictions of different theories of information acquisition. We conclude by highlighting possible directions for future research.

Suggested Citation

  • Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," ECONtribute Discussion Papers Series 124, University of Bonn and University of Cologne, Germany.
    • Handle: RePEc:ajk:ajkdps:124
    as

    Download full text from publisher

    File URL: https://www.econtribute.de/RePEc/ajk/ajkdps/ECONtribute_124_2021.pdf
    File Function: First version, 2021
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hainmueller, Jens & Hiscox, Michael J., 2010. "Attitudes toward Highly Skilled and Low-skilled Immigration: Evidence from a Survey Experiment," American Political Science Review, Cambridge University Press, vol. 104(1), pages 61-84, February.
    2. Mitchell Hoffman, 2016. "How is Information Valued? Evidence from Framed Field Experiments," Economic Journal, Royal Economic Society, vol. 126(595), pages 1884-1911, September.
    3. Banerjee,Abhijit & La Ferrara,Eliana & Orozco Olvera,Victor Hugo, 2019. "The Entertaining Way to Behavioral Change : Fighting HIV with MTV," Policy Research Working Paper Series 8998, The World Bank.
    4. Alberto Alesina & Armando Miano & Stefanie Stantcheva, 2023. "Immigration and Redistribution," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 1-39.
    5. Stefano Giglio & Matteo Maggiori & Johannes Stroebel & Stephen Utkus, 2021. "Five Facts about Beliefs and Portfolios," American Economic Review, American Economic Association, vol. 111(5), pages 1481-1522, May.
    6. Jonas Hjort & Diana Moreira & Gautam Rao & Juan Francisco Santini, 2021. "How Research Affects Policy: Experimental Evidence from 2,150 Brazilian Municipalities," American Economic Review, American Economic Association, vol. 111(5), pages 1442-1480, May.
    7. Emily Oster & Ira Shoulson & E. Ray Dorsey, 2013. "Optimal Expectations and Limited Medical Testing: Evidence from Huntington Disease," American Economic Review, American Economic Association, vol. 103(2), pages 804-830, April.
    8. Jonathan de Quidt & Johannes Haushofer & Christopher Roth, 2018. "Measuring and Bounding Experimenter Demand," American Economic Review, American Economic Association, vol. 108(11), pages 3266-3302, November.
    9. Luigi Paciello & Mirko Wiederholt, 2014. "Exogenous Information, Endogenous Information, and Optimal Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(1), pages 356-388.
    10. Khan, Adnan & Nasim, Sanval & Shaukat, Mahvish & Stegmann, Andreas, 2021. "Building trust in the state with information: Evidence from urban Punjab," Journal of Public Economics, Elsevier, vol. 202(C).
    11. Heiner Mikosch & Christopher Roth & Samad Sarferaz & Johannes Wohlfart, 2024. "Uncertainty and Information Acquisition: Evidence from Firms and Households," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(2), pages 375-405, April.
    12. repec:cup:apsrev:v:113:y:2019:i:04:p:902-916_00 is not listed on IDEAS
    13. Simon Jäger & Christopher Roth & Nina Roussille & Benjamin Schoefer, 2024. "Worker Beliefs About Outside Options," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(3), pages 1505-1556.
    14. Brian Knight & Ana Tribin, 2022. "Opposition Media, State Censorship, and Political Accountability: Evidence from Chavez’s Venezuela," The World Bank Economic Review, World Bank, vol. 36(2), pages 455-487.
    15. Kindermann, Fabian & Le Blanc, Julia & Piazzesi, Monika & Schneider, Martin, 2021. "Learning about Housing Cost: Survey Evidence from the German House Price Boom," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242386, Verein für Socialpolitik / German Economic Association.
    16. Ilyana Kuziemko & Michael I. Norton & Emmanuel Saez & Stefanie Stantcheva, 2015. "How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments," American Economic Review, American Economic Association, vol. 105(4), pages 1478-1508, April.
    17. Bartosz Maćkowiak & Mirko Wiederholt, 2015. "Business Cycle Dynamics under Rational Inattention," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1502-1532.
    18. Markus M. Möbius & Muriel Niederle & Paul Niehaus & Tanya S. Rosenblat, 2022. "Managing Self-Confidence: Theory and Experimental Evidence," Management Science, INFORMS, vol. 68(11), pages 7793-7817, November.
    19. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    20. Bruce, Raphael & Lima, Rafael Costa, 2019. "Compulsory voting and TV news consumption," Journal of Development Economics, Elsevier, vol. 138(C), pages 165-179.
    21. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2019. "Do People Value More Informative News?," CESifo Working Paper Series 8026, CESifo.
    22. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    23. Hobbs, William R. & Roberts, Margaret E., 2018. "How Sudden Censorship Can Increase Access to Information," American Political Science Review, Cambridge University Press, vol. 112(3), pages 621-636, August.
    24. David Card & Alexandre Mas & Enrico Moretti & Emmanuel Saez, 2012. "Inequality at Work: The Effect of Peer Salaries on Job Satisfaction," American Economic Review, American Economic Association, vol. 102(6), pages 2981-3003, October.
    25. Scott R. Baker & Andrey Fradkin, 2017. "The Impact of Unemployment Insurance on Job Search: Evidence from Google Search Data," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 756-768, December.
    26. Marco Gambaro & Valentino Larcinese & Riccardo Puglisi & James M. Snyder Jr., 2021. "The Revealed Demand for Hard vs. Soft News: Evidence from Italian TV Viewership," NBER Working Papers 29020, National Bureau of Economic Research, Inc.
    27. Ben Gillen & Erik Snowberg & Leeat Yariv, 2019. "Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1826-1863.
    28. Darya Korlyakova, 2021. "Learning about Ethnic Discrimination from Different Information Sources," CERGE-EI Working Papers wp689, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    29. Bartosz Mackowiak & Mirko Wiederholt, 2009. "Optimal Sticky Prices under Rational Inattention," American Economic Review, American Economic Association, vol. 99(3), pages 769-803, June.
    30. Chopra, Felix & Haaland, Ingar & Roth, Christopher, 2022. "Do people demand fact-checked news? Evidence from U.S. Democrats," Journal of Public Economics, Elsevier, vol. 205(C).
    31. Ester Faia & Andreas Fuster & Vincenzo Pezone & Basit Zafar, 2024. "Biases in Information Selection and Processing: Survey Evidence from the Pandemic," The Review of Economics and Statistics, MIT Press, vol. 106(3), pages 829-847, May.
    32. Eleonora Freddi, 2021. "Do People Avoid Morally Relevant Information? Evidence from the Refugee Crisis," The Review of Economics and Statistics, MIT Press, vol. 103(4), pages 605-620, October.
    33. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    34. Thiemo Fetzer & Lukas Hensel & Johannes Hermle & Christopher Roth, 2021. "Coronavirus Perceptions and Economic Anxiety," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 968-978, December.
    35. Mounir Karadja & Johanna Mollerstrom & David Seim, 2017. "Richer (and Holier) Than Thou? The Effect of Relative Income Improvements on Demand for Redistribution," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 201-212, May.
    36. Ricardo Perez-Truglia, 2020. "The Effects of Income Transparency on Well-Being: Evidence from a Natural Experiment," American Economic Review, American Economic Association, vol. 110(4), pages 1019-1054, April.
    37. Yuyu Chen & David Y. Yang, 2019. "The Impact of Media Censorship: 1984 or Brave New World?," American Economic Review, American Economic Association, vol. 109(6), pages 2294-2332, June.
    38. Antonio Gargano & Alberto G Rossi, 2018. "Does It Pay to Pay Attention?," The Review of Financial Studies, Society for Financial Studies, vol. 31(12), pages 4595-4649.
    39. David Eil & Justin M. Rao, 2011. "The Good News-Bad News Effect: Asymmetric Processing of Objective Information about Yourself," American Economic Journal: Microeconomics, American Economic Association, vol. 3(2), pages 114-138, May.
    40. Nicolas Bottan & Ricardo Perez-Truglia, 2025. "Betting on the House: Subjective Expectations and Market Choices," American Economic Journal: Applied Economics, American Economic Association, vol. 17(1), pages 459-500, January.
    41. Ingar Haaland & Christopher Roth, 2023. "Beliefs about Racial Discrimination and Support for Pro-Black Policies," The Review of Economics and Statistics, MIT Press, vol. 105(1), pages 40-53, January.
    42. Hensvik, Lena & Le Barbanchon, Thomas & Rathelot, Roland, 2021. "Job search during the COVID-19 crisis," Journal of Public Economics, Elsevier, vol. 194(C).
    43. Alexis Grigorieff & Christopher Roth & Diego Ubfal, 2020. "Does Information Change Attitudes Toward Immigrants?," Demography, Springer;Population Association of America (PAA), vol. 57(3), pages 1117-1143, June.
    44. Bartosz Maćkowiak & Filip Matějka & Mirko Wiederholt, 2023. "Rational Inattention: A Review," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 226-273, March.
    45. Jeffrey L. Hoopes & Daniel H. Reck & Joel Slemrod, 2015. "Taxpayer Search for Information: Implications for Rational Attention," American Economic Journal: Economic Policy, American Economic Association, vol. 7(3), pages 177-208, August.
    46. Christopher Roth & Sonja Settele & Johannes Wohlfart, 2022. "Risk Exposure and Acquisition of Macroeconomic Information," American Economic Review: Insights, American Economic Association, vol. 4(1), pages 34-53, March.
    47. Russell Golman & George Loewenstein & Karl Ove Moene & Luca Zarri, 2016. "The Preference for Belief Consonance," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 165-188, Summer.
    48. Stefanie Stantcheva, 2021. "Understanding Tax Policy: How do People Reason?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(4), pages 2309-2369.
    49. Ruben Durante & Brian Knight, 2012. "Partisan Control, Media Bias, And Viewer Responses: Evidence From Berlusconi'S Italy," Journal of the European Economic Association, European Economic Association, vol. 10(3), pages 451-481, May.
    50. Cruces, Guillermo & Perez-Truglia, Ricardo & Tetaz, Martin, 2013. "Biased perceptions of income distribution and preferences for redistribution: Evidence from a survey experiment," Journal of Public Economics, Elsevier, vol. 98(C), pages 100-112.
    51. Arna Olafsson & Michaela Pagel, 2017. "The Ostrich in Us: Selective Attention to Financial Accounts, Income, Spending, and Liquidity," NBER Working Papers 23945, National Bureau of Economic Research, Inc.
    52. Godlonton, Susan & Thornton, Rebecca, 2012. "Peer effects in learning HIV results," Journal of Development Economics, Elsevier, vol. 97(1), pages 118-129.
    53. Roland Bénabou & Jean Tirole, 2016. "Mindful Economics: The Production, Consumption, and Value of Beliefs," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 141-164, Summer.
    54. Chater, Nick & Loewenstein, George, 2016. "The under-appreciated drive for sense-making," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PB), pages 137-154.
    55. De Benedictis-Kessner, Justin & Baum, Matthew A. & Berinsky, Adam J. & Yamamoto, Teppei, 2019. "Persuading the Enemy: Estimating the Persuasive Effects of Partisan Media with the Preference-Incorporating Choice and Assignment Design," American Political Science Review, Cambridge University Press, vol. 113(4), pages 902-916, November.
    56. Vojtěch Bartoš & Michal Bauer & Julie Chytilová & Filip Matějka, 2016. "Attention Discrimination: Theory and Field Experiments with Monitoring Information Acquisition," American Economic Review, American Economic Association, vol. 106(6), pages 1437-1475, June.
    57. Asger Lau Andersen & Niels Johannesen & Adam Sheridan, 2021. "Dynamic Spending Responses to Wealth Shocks: Evidence from Quasi-lotteries on the Stock Market," CEBI working paper series 21-11, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    58. Christopher Roth & Johannes Wohlfart, 2020. "How Do Expectations about the Macroeconomy Affect Personal Expectations and Behavior?," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 731-748, October.
    59. Fernanda Leite Lopez de Leon & Renata Rizzi, 2014. "A Test for the Rational Ignorance Hypothesis: Evidence from a Natural Experiment in Brazil," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 380-398, November.
    60. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    61. Matthew Gentzkow & Jesse M. Shapiro, 2006. "Media Bias and Reputation," Journal of Political Economy, University of Chicago Press, vol. 114(2), pages 280-316, April.
    62. Ro'ee Levy, 2021. "Social Media, News Consumption, and Polarization: Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 111(3), pages 831-870, March.
    63. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
    64. Edika Quispe-Torreblanca & John Gathergood & George Loewenstein & Neil Stewart, 2020. "Attention Utility: Evidence from Individual Investors," CESifo Working Paper Series 8091, CESifo.
    65. Roberto Mosquera & Mofioluwasademi Odunowo & Trent McNamara & Xiongfei Guo & Ragan Petrie, 2020. "The economic effects of Facebook," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 575-602, June.
    66. Hainmueller, Jens & Hiscox, Michael J., 2010. "Attitudes toward Highly Skilled and Low-skilled Immigration: Evidence from a Survey Experiment—Erratum," American Political Science Review, Cambridge University Press, vol. 104(3), pages 624-624, August.
    67. Dominik Hangartner & Daniel Kopp & Michael Siegenthaler, 2021. "Monitoring hiring discrimination through online recruitment platforms," Nature, Nature, vol. 589(7843), pages 572-576, January.
    68. Bence Bago & David Rand & Gordon Pennycook, 2020. "Fake news, fast and slow: Deliberation reduces belief in false (but not true) news headlines," Post-Print hal-03477497, HAL.
    69. Francesco D’Acunto & Andreas Fuster & Michael Weber, 2021. "Diverse Policy Committees Can Reach Underrepresented Groups," NBER Working Papers 29275, National Bureau of Economic Research, Inc.
    70. Nielsen, Kirby, 2020. "Preferences for the resolution of uncertainty and the timing of information," Journal of Economic Theory, Elsevier, vol. 189(C).
    71. Rebecca L. Thornton, 2008. "The Demand for, and Impact of, Learning HIV Status," American Economic Review, American Economic Association, vol. 98(5), pages 1829-1863, December.
    72. Alessandro Acquisti & Christina Fong, 2020. "An Experiment in Hiring Discrimination via Online Social Networks," Management Science, INFORMS, vol. 66(3), pages 1005-1024, March.
    73. John J. Conlon & Laura Pilossoph & Matthew Wiswall & Basit Zafar, 2018. "Labor Market Search With Imperfect Information and Learning," Working Papers 2018-068, Human Capital and Economic Opportunity Working Group.
    74. Niklas Karlsson & George Loewenstein & Duane Seppi, 2009. "The ostrich effect: Selective attention to information," Journal of Risk and Uncertainty, Springer, vol. 38(2), pages 95-115, April.
    75. Andrew Caplin, 2016. "Measuring and Modeling Attention," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 379-403, October.
    76. Erik Peterson & Shanto Iyengar, 2021. "Partisan Gaps in Political Information and Information‐Seeking Behavior: Motivated Reasoning or Cheerleading?," American Journal of Political Science, John Wiley & Sons, vol. 65(1), pages 133-147, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chopra, Felix & Haaland, Ingar & Roth, Christopher, 2022. "Do people demand fact-checked news? Evidence from U.S. Democrats," Journal of Public Economics, Elsevier, vol. 205(C).
    2. Felix Chopras & Ingar Haaland & Christopher Roth, 2024. "The Demand for News: Accuracy Concerns Versus Belief Confirmation Motives," The Economic Journal, Royal Economic Society, vol. 134(661), pages 1806-1834.
    3. Muhammad Farrukh Shahzad & Shuo Xu & Rimsha Baheer, 2024. "Assessing the factors influencing the intention to use information and communication technology implementation and acceptance in China’s education sector," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    4. Blesse, Sebastian & Lergetporer, Philipp & Nover, Justus & Werner, Katharina, 2023. "Transparency and policy competition: Experimental evidence from German citizens and politicians," ZEW Discussion Papers 23-007, ZEW - Leibniz Centre for European Economic Research.
    5. Heiner Mikosch & Christopher Roth & Samad Sarferaz & Johannes Wohlfart, 2024. "Uncertainty and Information Acquisition: Evidence from Firms and Households," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(2), pages 375-405, April.
    6. Michelle Acampora & Francesco Capozza & Vahid Moghani, 2022. "Mental Health Literacy, Beliefs and Demand for Mental Health Support among University Students," Tinbergen Institute Discussion Papers 22-079/I, Tinbergen Institute.
    7. Sofia Badini & Esther Gehrke & Friederike Lenel & Claudia Schupp, 2024. "Expanding Horizons A Randomized Controlled Trial on Adolescents’ Career Information Acquisition," CESifo Working Paper Series 11225, CESifo.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2022. "Recent Advances in Studies of News Consumption," ECONtribute Discussion Papers Series 204, University of Bonn and University of Cologne, Germany.
    2. Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2023. "Designing Information Provision Experiments," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 3-40, March.
    3. Heiner Mikosch & Christopher Roth & Samad Sarferaz & Johannes Wohlfart, 2024. "Uncertainty and Information Acquisition: Evidence from Firms and Households," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(2), pages 375-405, April.
    4. Assenza, Tiziana, 2021. "The Ability to 'Distill the Truth'," TSE Working Papers 21-1280, Toulouse School of Economics (TSE), revised Mar 2022.
    5. Link, Sebastian & Peichl, Andreas & Roth, Christopher & Wohlfart, Johannes, 2023. "Information frictions among firms and households," Journal of Monetary Economics, Elsevier, vol. 135(C), pages 99-115.
    6. Blesse, Sebastian & Heinemann, Friedrich & Krieger, Tommy, 2021. "Informationsdefizite als Hindernis rationaler Wirtschaftspolitik: Ausmass, Ursachen und Gegenstrategien. Eine Studie mit Unterstützung der Brigitte Strube Stiftung," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 241989, March.
    7. Bartosz Maćkowiak & Filip Matějka & Mirko Wiederholt, 2023. "Rational Inattention: A Review," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 226-273, March.
    8. Peter Andrebriq & Carlo Pizzinelli & Christopher Roth & Johannes Wohlfart, 2022. "Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(6), pages 2958-2991.
    9. Chopra, Felix & Haaland, Ingar & Roth, Christopher, 2022. "Do people demand fact-checked news? Evidence from U.S. Democrats," Journal of Public Economics, Elsevier, vol. 205(C).
    10. Darya Korlyakova, 2021. "Learning about Ethnic Discrimination from Different Information Sources," CERGE-EI Working Papers wp689, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    11. Lergetporer, Philipp & Piopiunik, Marc & Simon, Lisa, 2021. "Does the education level of refugees affect natives’ attitudes?," European Economic Review, Elsevier, vol. 134(C).
    12. Riccardo Bruni & Alessandro Gioffré & Maria Marino, 2022. ""In-group bias in preferences for redistribution: a survey experiment in Italy"," IREA Working Papers 202223, University of Barcelona, Research Institute of Applied Economics, revised Nov 2023.
    13. Haaland, Ingar & Roth, Christopher, 2020. "Labor market concerns and support for immigration," Journal of Public Economics, Elsevier, vol. 191(C).
    14. George Loewenstein & Zachary Wojtowicz, 2023. "The Economics of Attention," CESifo Working Paper Series 10712, CESifo.
    15. Felix Chopras & Ingar Haaland & Christopher Roth, 2024. "The Demand for News: Accuracy Concerns Versus Belief Confirmation Motives," The Economic Journal, Royal Economic Society, vol. 134(661), pages 1806-1834.
    16. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2021. "The Demand for Fact-Checking," CESifo Working Paper Series 9061, CESifo.
    17. Ester Faia & Andreas Fuster & Vincenzo Pezone & Basit Zafar, 2024. "Biases in Information Selection and Processing: Survey Evidence from the Pandemic," The Review of Economics and Statistics, MIT Press, vol. 106(3), pages 829-847, May.
    18. McNamara, Trent & Mosquera, Roberto, 2024. "The political divide: The case of expectations and preferences," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 110(C).
    19. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2019. "Do People Value More Informative News?," CESifo Working Paper Series 8026, CESifo.
    20. Martinangeli, Andrea F.M. & Windsteiger, Lisa, 2023. "Immigration vs. poverty: Causal impact on demand for redistribution in a survey experiment," European Journal of Political Economy, Elsevier, vol. 78(C).

    More about this item

    Keywords

    Information acquisition; Willingness to pay; Click data; Experimental Design; Beliefs; Surveys;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ajk:ajkdps:124. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ECONtribute Office (email available below). General contact details of provider: https://www.econtribute.de .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

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