Advances in Experimental Economics: A Review of Information Provision Experiment
Luo Jun1, Zou Lehao2
1.School of Economics / Center for Economic Behavior and Decision-making, Zhejiang University of Finance and Economics, Hangzhou 310018, China 2.Zhejiang Research Institute of ZUFE-UCASS, Hangzhou 310018, China
Abstract:The information provision experiment is a research method designed to evaluate the impact of belief changes on individual decision-making by providing participants with specific information about their real-world environment to induce belief updates. This method originates from randomized intervention experiments and retains their credibility and innovation while being low-cost and highly applicable. In recent years, information provision experiments have developed rapidly and have gradually become an important empirical tool in economics.This article provides a comprehensive review of information provision experiments. First, it systematically summarizes the implementation steps of these experiments, which include sample selection and grouping, belief measurement, and information intervention. Proper sample grouping is the first critical step for conducting the experiment. Measuring beliefs before and after the experiment distinguishes information provision experiments from other experimental approaches. Its design directly impacts the validity and interpretability of the results. Moreover, during the information intervention phase, the content and presentation of the information significantly influence belief updating among participants. Researchers must deeply understand participants’ characteristics, environments, and key concerns. Second, the article highlights the advantages of information provision experiments. These experiments excel in credibility, scalability, and mechanism verification. Through random grouping and experimental design, they offer high internal validity and credibility in causal inference. By altering only participants’ perceptions of the external world, this approach is more cost-effective and has broader applicability than traditional randomized intervention experiments. Additionally, by measuring participants’ initial beliefs and tracking their belief-updating processes, researchers can better identify how information affects individuals and explain the mechanisms underlying variations in belief updates, thus providing strong support for mechanism verification. Third, the article introduces representative information provision experiments in various fields. Information provision experiments are experiencing rapid development, with a growing body of outstanding research demonstrating their broad applications across key economic domains such as labor and education economics, macroeconomics and finance, public and political economics, and development economics. Through an analysis of these studies’ methodologies and key findings, the article showcases the potential and research value of information provision experiments, aiming at inspiring domestic scholars.In China, the research on information provision experiments is still in its infancy but shows immense potential. The complex challenges posed by China’s social transformation offer ample opportunities for localized applications of information provision experiments. Chinese scholars should anchor their research in domestic contexts and tell the “China story”, such as addressing employment issues, economic expectations, and educational choices. They should also leverage the advantages of digital innovation to conduct large-scale online experiments and promote collaboration with government agencies. By systematically organizing and reviewing the information provision experiment literature, this article provides domestic scholars with a clear research framework, aiding the academic community in better understanding the implementation steps and practical value of this method. It is hoped that efforts in China will not only advance domestic social progress but also contribute Chinese insights to the global development of experimental economics.
罗俊, 邹乐豪. 实验经济学新进展[J]. 浙江大学学报(人文社会科学版), 2025, 55(6): 63-80.
Luo Jun, Zou Lehao. Advances in Experimental Economics: A Review of Information Provision Experiment. JOURNAL OF ZHEJIANG UNIVERSITY, 2025, 55(6): 63-80.
1 Haaland I., Roth C. & Wohlfart J., “Designing information provision experiments,” Journal of Economic Literature, Vol. 61, No. 1 (2023), pp. 3-40. 2 陆方文:《随机实地实验:方法、趋势和展望》,《经济评论》2017年第4期,第149-160页。 3 Thaler R. H. & Sunstein C. R., Nudge: The Final Edition, New Haven: Yale University Press, 2021. 4 Belot M., Kircher P. & Muller P., “Providing advice to job seekers at low cost: an experimental study on online advice,” The Review of Economic Studies, Vol. 86, No. 4 (2019), pp. 1411-1447. 5 Banerjee A., Chandrasekhar A. G. & Duflo E. et al., “Using gossips to spread information: theory and evidence from two randomized controlled trials,” The Review of Economic Studies, Vol. 86, No. 6 (2019), pp. 2453-2490. 6 BenYishay A. & Mobarak A. M., “Social learning and incentives for experimentation and communication,” The Review of Economic Studies, Vol. 86, No. 3 (2019), pp. 976-1009. 7 Armona L., Fuster A. & Zafar B., “Home price expectations and behaviour: evidence from a randomized information experiment,” The Review of Economic Studies, Vol. 86, No. 4 (2019), pp. 1371-1410. 8 Finkelstein A. & Notowidigdo M. J., “Take-up and targeting: experimental evidence from SNAP,” The Quarterly Journal of Economics, Vol. 134, No. 3 (2019), pp. 1505-1556. 9 Cantoni D., Yang D. Y. & Yuchtman N. et al., “Protests as strategic games: experimental evidence from Hong Kong’s antiauthoritarian movement,” The Quarterly Journal of Economics, Vol. 134, No. 2 (2019), pp. 1021-1077. 10 Bursztyn L., Fiorin S. & Gottlieb D. et al., “Moral incentives in credit card debt repayment: evidence from a field experiment,” Journal of Political Economy, Vol. 127, No. 4 (2019), pp. 1641-1683. 11 Armand A., Coutts A. & Vicente P. C. et al., “Does information break the political resource curse? experimental evidence from Mozambique,” American Economic Review, Vol. 110, No. 11 (2020), pp. 3431-3453. 12 Bursztyn L., González A. L. & Yanagizawa-Drott D., “Misperceived social norms: women working outside the home in Saudi Arabia,” American Economic Review, Vol. 110, No. 10 (2020), pp. 2997-3029. 13 Sahni N. S. & Nair H. S., “Does advertising serve as a signal? evidence from a field experiment in mobile search,” The Review of Economic Studies, Vol. 87, No. 3 (2020), pp. 1529-1564. 14 Blader S., Gartenberg C. & Prat A., “The contingent effect of management practices,” The Review of Economic Studies, Vol. 87, No. 2 (2020), pp. 721-749. 15 Coibion O., Gorodnichenko Y. & Ropele T., “Inflation expectations and firm decisions: new causal evidence,” The Quarterly Journal of Economics, Vol. 135, No. 1 (2020), pp. 165-219. 16 Bidwell K., Casey K. & Glennerster R., “Debates: voting and expenditure responses to political communication,” Journal of Political Economy, Vol. 128, No. 8 (2020), https://doi.org/10.1086/706862. 17 Acemoglu D., Cheema A. & Khwaja A. I. et al., “Trust in state and non-state actors: evidence from dispute resolution in Pakistan,” Journal of Political Economy, Vol. 128, No. 8 (2020), https://doi.org/10.1086/707765. 18 Domurat R., Menashe I. & Yin W., “The role of behavioral frictions in health insurance marketplace enrollment and risk: evidence from a field experiment,” American Economic Review, Vol. 111, No. 5 (2021), pp. 1549-1574. 19 Hjort J., Moreira D. & Rao G. et al., “How research affects policy: experimental evidence from 2,150 Brazilian municipalities,” American Economic Review, Vol. 111, No. 5 (2021), pp. 1442-1480. 20 Carneiro P., Kraftman L. & Mason G. et al., “The impacts of a multifaceted prenatal intervention on human capital accumulation in early life,” American Economic Review, Vol. 111, No. 8 (2021), pp. 2506-2549. 21 Abebe G., Caria A. S. & Fafchamps M. et al., “Anonymity or distance? job search and labour market exclusion in a growing African city,” The Review of Economic Studies, Vol. 88, No. 3 (2021), pp. 1279-1310. 22 Stantcheva S., “Understanding tax policy: how do people reason?” The Quarterly Journal of Economics, Vol. 136, No. 4 (2021), pp. 2309-2369. 23 Goldin J., Lurie I. Z. & McCubbin J., “Health insurance and mortality: experimental evidence from taxpayer outreach,” The Quarterly Journal of Economics, Vol. 136, No. 1 (2021), pp. 1-49. 24 Christensen D., Dube O. & Haushofer J. et al., “Building resilient health systems: experimental evidence from Sierra Leone and the 2014 Ebola outbreak,” The Quarterly Journal of Economics, Vol. 136, No. 2 (2021), pp. 1145-1198. 25 Bergman P., “Parent-child information frictions and human capital investment: evidence from a field experiment,” Journal of Political Economy, Vol. 129, No. 1 (2021), pp. 286-322. 26 de Neve J. E., Imbert C. & Spinnewijn J. et al., “How to improve tax compliance? evidence from population-wide experiments in Belgium,” Journal of Political Economy, Vol. 129, No. 5 (2021), pp. 1425-1463. 27 Garbiras-Díaz N. & Montenegro M., “All eyes on them: a field experiment on citizen oversight and electoral integrity,” American Economic Review, Vol. 112, No. 8 (2022), pp. 2631-2668. 28 Carranza E., Garlick R. & Orkin K. et al., “Job search and hiring with limited information about workseekers’ skills,” American Economic Review, Vol. 112, No. 11 (2022), pp. 3547-3583. 29 Andre P., Pizzinelli C. & Roth C. et al., “Subjective models of the macroeconomy: evidence from experts and representative samples,” The Review of Economic Studies, Vol. 89, No. 6 (2022), pp. 2958-2991. 30 Iacovone L., Maloney W. & McKenzie D., “Improving management with individual and group-based consulting: results from a randomized experiment in Colombia,” The Review of Economic Studies, Vol. 89, No. 1 (2022), pp. 346-371. 31 Cullen Z. & Perez-Truglia R., “How much does your boss make? the effects of salary comparisons,” Journal of Political Economy, Vol. 130, No. 3 (2022), pp. 766-822. 32 Ainsworth R., Dehejia R. & Pop-Eleches C. et al., “Why do households leave school value added on the table? the roles of information and preferences,” American Economic Review, Vol. 113, No. 4 (2023), pp. 1049-1082. 33 Alesina A., Miano A. & Stantcheva S., “Immigration and redistribution,” The Review of Economic Studies, Vol. 90, No. 1 (2023), pp. 1-39. 34 Peter F. H. & Zambre V., “Intended college enrollment and educational inequality: do students lack information?” Economics of Education Review, Vol. 60 (2017), pp. 125-141. 35 Roth J., “Pretest with caution: event-study estimates after testing for parallel trends,” American Economic Review: Insights, Vol. 4, No. 3 (2022), pp. 305-322. 36 Kerr S. P., Pekkarinen T. & Sarvim?ki M. et al., “Post-secondary education and information on labor market prospects: a randomized field experiment,” Labour Economics, Vol. 66 (2020), https://doi.org/10.1016/j.labeco.2020.101888. 37 Berkes J., Peter F. & Spiess C. K. et al., “Information provision and postgraduate studies,” Economica, Vol. 89, No. 355 (2022), pp. 627-646. 38 Armona L., Fuster A. & Zafar B., “Home price expectations and behaviour: evidence from a randomized information experiment,” The Review of Economic Studies, Vol. 86, No. 4 (2019), pp. 1371-1410. 39 Ballarino G., Filippin A. & Abbiati G. et al., “The effects of an information campaign beyond university enrolment: a large-scale field experiment on the choices of high school students,” Economics of Education Review, Vol. 91 (2022), https://doi.org/10.1016/j.econedurev.2022.102308. 40 Alesina A., Stantcheva S. & Teso E., “Intergenerational mobility and preferences for redistribution,” American Economic Review, Vol. 108, No. 2 (2018), pp. 521-554. 41 J?ger S., Roth C. & Roussille N. et al., “Worker beliefs about outside options,” The Quarterly Journal of Economics, Vol. 139, No. 3 (2024), pp. 1505-1556. 42 Lergetporer P., Werner K. & Woessmann L., “Educational inequality and public policy preferences: evidence from representative survey experiments,” Journal of Public Economics, Vol. 188 (2020), https://doi.org/10.1016/j.jpubeco.2020.104226. 43 Jones S. & Santos R., “Can information correct optimistic wage expectations? evidence from Mozambican job-seekers,” Journal of Development Economics, Vol. 159 (2022), https://doi.org/10.1016/j.jdeveco.2022.102987. 44 Chen Y., Lu F. & Zhang J., “Social comparisons, status and driving behavior,” Journal of Public Economics, Vol. 155 (2017), https://doi.org/10.1016/j.jpubeco.2017.08.005. 45 Allcott H. & Knittel C., “Are consumers poorly informed about fuel economy? evidence from two experiments,” American Economic Journal: Economic Policy, Vol. 11, No. 1 (2019), pp. 1-37. 46 翁茜、李栋:《在线实地实验研究进展》,《经济学动态》2020年第5期,第132-145页。 47 Rubin D. B., “For objective causal inference, design trumps analysis,” The Annals of Applied Statistics, Vol. 2, No. 3 (2008), pp. 808-840. 48 罗俊、汪丁丁、叶航等:《走向真实世界的实验经济学——田野实验研究综述》,《经济学(季刊)》2015年第3期,第853-884页。 49 Pradhan M., Suryadarma D. & Beatty A. et al., “Improving educational quality through enhancing community participation: results from a randomized field experiment in Indonesia,” American Economic Journal: Applied Economics, Vol. 6, No. 2 (2014), pp. 105-126. 50 Hammer J. & Spears D., “Village sanitation and child health: effects and external validity in a randomized field experiment in rural India,” Journal of Health Economics, Vol. 48 (2016), pp. 135-148. 51 Carneiro P., Galasso E. & Lopez Garcia et al., “Parental beliefs, investments, and child development: evidence from a large-scale experiment,” https://www.jstor.org/stable/resrep59161. 52 Grigorieff A., Roth C. & Ubfal D., “Does information change attitudes toward immigrants?” Demography, Vol. 57, No. 3 (2020), pp. 1117-1143. 53 Coibion O., Gorodnichenko Y. & Weber M., “Monetary policy communications and their effects on household inflation expectations,” Journal of Political Economy, Vol. 130, No. 6 (2022), pp. 1537-1584. 54 Bassi V. & Nansamba A., “Screening and signalling non-cognitive skills: experimental evidence from Uganda,” The Economic Journal, Vol. 132, No. 642 (2022), pp. 471-511. 55 江艇:《因果推断经验研究中的中介效应与调节效应》,《中国工业经济》2022年第5期,第100-120页。 56 Davis D. D. & Holt C. A., Experimental Economics, Princeton: Princeton University Press, 2021. 57 Altmann S., Falk A. & J?ger S.et al., “Learning about job search: a field experiment with job seekers in Germany,” Journal of Public Economics, Vol. 164 (2018), https://doi.org/10.1016/j.jpubeco.2018.05.003. 58 丁延庆、杜立珍、李伟等:《信息干预对高考志愿专业选择的影响——来自大规模随机实验的证据》,《经济学(季刊)》2021年第6期,第2239-2262页。 59 Coibion O., Georgarakos D. & Gorodnichenko Y. et al., “The effect of macroeconomic uncertainty on household spending,” American Economic Review, Vol. 114, No. 3 (2024), pp. 645-677. 60 Roth C. & Wohlfart J., “How do expectations about the macroeconomy affect personal expectations and behavior?” The Review of Economics and Statistics, Vol. 102, No. 4 (2020), pp. 731-748. 61 Du N., Li L. & Lu T. et al., “Prosocial compliance in P2P lending: a natural field experiment,” Management Science, Vol. 66, No. 1 (2020), pp. 315-333. 62 Haaland I. & Roth C., “Labor market concerns and support for immigration,” Journal of Public Economics, Vol. 191 (2020), https://doi.org/10.1016/j.jpubeco.2020.104256. 63 Roth C., Settele S. & Wohlfart J., “Beliefs about public debt and the demand for government spending,” Journal of Econometrics, Vol. 231, No. 1 (2022), pp. 165-187. 64 Dhar D., Jain T. & Jayachandran S., “Reshaping adolescents’ gender attitudes: evidence from a school-based experiment in India,” American Economic Review, Vol. 112, No. 3 (2022), pp. 899-927. 65 Bandiera O., Buehren N. & Burgess R. et al., “Women’s empowerment in action: evidence from a randomized control trial in Africa,” American Economic Journal: Applied Economics, Vol. 12, No. 1 (2020), pp. 210-259. 66 Kuziemko I., Norton M. I. & Saez E. et al., “How elastic are preferences for redistribution? evidence from randomized survey experiments,” American Economic Review, Vol. 105, No. 4 (2015), pp. 1478-1508. 67 Afridi F., Barooah B. & Somanathan R., “Improving learning outcomes through information provision: experimental evidence from Indian villages,” Journal of Development Economics, Vol. 146 (2020), https://doi.org/10.1016/j.jdeveco.2018.08.002. 68 Premand P. & Barry O., “Behavioral change promotion, cash transfers and early childhood development: experimental evidence from a government program in a low-income setting,” Journal of Development Economics, Vol. 158 (2022), https://doi.org/10.1016/j.jdeveco.2022.102921. 69 Lu F., Zhang J. & Perloff J. M., “General and specific information in deterring traffic violations: evidence from a randomized experiment,” Journal of Economic Behavior & Organization, Vol. 123 (2016), https://doi.org/10.1016/j.jebo.2015.12.009. 70 Zhang J., Perloff J. M. & Lu F., “Informing and inquiring: experimental evidence on reducing traffic violations,” Journal of Development Economics, Vol. 147 (2020), https://doi.org/10.1016/j.jdeveco.2020.102534. 71 Bai C. E., Chi W. & Liu T. et al., “Boosting pension enrollment and household consumption by example: a field experiment on information provision,” Journal of Development Economics, Vol. 150 (2021), https://doi.org/10.1016/j.jdeveco.2020.102622. 72 Giles J., Meng X. & Xue S. et al., “Can information influence the social insurance participation decision of China’s rural migrants?” Journal of Development Economics, Vol. 150 (2021), https://doi.org/10.1016/j.jdeveco.2020.102622. 73 He D., Lu F. & Yang J., “Impact of self- or social-regarding health messages: experimental evidence based on antibiotics purchases,” Journal of Development Economics, Vol. 163 (2023), https://doi.org/10.1016/j.jdeveco.2023.103056. 74 代志新、高宏宇、程鹏:《行为助推对纳税遵从的促进效应研究》,《管理世界》2023年第6期,第51-77页。 75 Alfonsi L., Bandiera O. & Bassi V. et al., “Tackling youth unemployment: evidence from a labor market experiment in Uganda,” Econometrica, Vol. 88, No. 6 (2020), pp. 2369-2414. 76 Horton J. J., “The effects of algorithmic labor market recommendations: evidence from a field experiment,” Journal of Labor Economics, Vol. 35, No. 2 (2017), pp. 345-385. 77 Cede?o D., Lannin D. G. & Russell L. et al., “The effectiveness of a financial literacy and job-readiness curriculum for youth from low-income households,” Citizenship, Social and Economics Education, Vol. 20, No. 3 (2017), https://doi.org/10.1177/20471734211051770. 78 Hanspal T., Weber A. & Wohlfart J., “Exposure to the COVID-19 stock market crash and its effect on household expectations,” The Review of Economics and Statistics, Vol. 103, No. 5 (2021), pp. 994-1010. 79 习明明、卢意、吴志军:《实验宏观经济学研究进展》,《经济学动态》2022年第11期,第126-141页。 80 Chen Y. & Konstan J., “Online field experiments: a selective survey of methods,” Journal of the Economic Science Association, Vol. 1, No. 1 (2015), pp. 29-42. 81 Ai W., Chen Y. & Mei Q. et al., “Putting teams into the gig economy: a field experiment at a ride-sharing platform,” Management Science, Vol. 69, No. 9 (2023), pp. 4973-5693 . 82 Schneider F. H., Campos-Mercade P. & Meier S. et al., “Financial incentives for vaccination do not have negative unintended consequences,” Nature, Vol. 613, No. 7944 (2023), pp. 526-533. 83 Andre P., Boneva T. & Chopra F. et al., “Fighting climate change: the role of norms, preferences, and moral values,” https://ssrn.com/abstract=3886831. 84 陈叶烽、刘莹、杨雯渊:《公共政策评估与随机控制实验——基于“规模化”视角的经验启示与中国实践》,《管理世界》2023年第3期,第172-196页。 85 Harrison G. W. & List J. A., “Field experiments,” Journal of Economic Literature, Vol. 42, No.4 (2004), pp. 1009-1055. 86 包特、王国成、戴芸:《面向未来的实验经济学:文献述评与前景展望》,《管理世界》2020年第7期,第218-237页。