[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/13988.html
   My bibliography  Save this paper

Policy Uncertainty and Information Flows: Evidence from Pension Reform Expectations

Author

Listed:
  • Francesconi, Marco
  • Ciani, Emanuele
  • ,
  • Etheridge, Ben
Abstract
Subjective expectations about future policy play an important role in individuals’ welfare. We examine how workers’ expectations about pension reform vary with proximity to reforms, information cost, and aggregate information acquisition. We construct a new pan-European dataset of reform implementations and government announcements, and combine it with individual-level representative survey data on expectations about future reforms and country-level data on online search. We ï¬ nd: (1) Expectations are revised upward by about 10 percentage points in the year leading up to a reform, from a median of 50%, regardless of whether the reform is announced; (2) Aggregate online search increases after announcements, when the cost of information is lower; (3) Reform announcements and online information gathering are substitutes in the formation of expectations; (4) Expectations do not converge as a result of announcements or implementations; (5) The effect of information on expectations varies substantially across workers and systematically with observed characteristics that proxy cognitive ability and information value. These ï¬ ndings, interpreted using a model of rational inattention, reveal substantial informational rigidities, with welfare costs that run into trillions of Euros.

Suggested Citation

  • Francesconi, Marco & Ciani, Emanuele & , & Etheridge, Ben, 2019. "Policy Uncertainty and Information Flows: Evidence from Pension Reform Expectations," CEPR Discussion Papers 13988, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:13988
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP13988
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Andries De Grip & Maarten Lindeboom & Raymond Montizaan, 2012. "Shattered Dreams: The Effects of Changing the Pension System Late in the Game," Economic Journal, Royal Economic Society, vol. 122(559), pages 1-25, March.
    2. Luis Armona & Andreas Fuster & Basit Zafar, 2019. "Home Price Expectations and Behaviour: Evidence from a Randomized Information Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(4), pages 1371-1410.
    3. Olivier Armantier & Scott Nelson & Giorgio Topa & Wilbert van der Klaauw & Basit Zafar, 2016. "The Price Is Right: Updating Inflation Expectations in a Randomized Price Information Experiment," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 503-523, July.
    4. Trudy Cameron, 2005. "Updating Subjective Risks in the Presence of Conflicting Information: An Application to Climate Change," Journal of Risk and Uncertainty, Springer, vol. 30(1), pages 63-97, January.
    5. 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.
    6. Bottazzi, Renata & Jappelli, Tullio & Padula, Mario, 2006. "Retirement expectations, pension reforms, and their impact on private wealth accumulation," Journal of Public Economics, Elsevier, vol. 90(12), pages 2187-2212, December.
    7. John Ameriks & Gábor Kézdi & Minjoon Lee & Matthew D. Shapiro, 2020. "Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 633-646, July.
    8. Debets, Steven & Prast, Henriette & Rossi, Mariacristina & van Soest, Arthur, 2018. "Pension Communication in the Netherlands and Other Countries," Other publications TiSEM 247a0420-2150-40f5-8b29-8, Tilburg University, School of Economics and Management.
    9. Khaw, Mel Win & Stevens, Luminita & Woodford, Michael, 2017. "Discrete adjustment to a changing environment: Experimental evidence," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 88-103.
    10. 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.
    11. 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.
    12. John McHale, 2001. "The Risk of Social Security Benefit-Rule Changes: Some International Evidence," NBER Chapters, in: Risk Aspects of Investment-Based Social Security Reform, pages 247-290, National Bureau of Economic Research, Inc.
    13. David A. Wise, 1990. "Issues in the Economics of Aging," NBER Books, National Bureau of Economic Research, Inc, number wise90-1.
    14. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2014. "Inflation Expectations, Learning and Supermarket Prices," NBER Working Papers 20576, National Bureau of Economic Research, Inc.
    15. 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.
    16. 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.
    17. Arie Beresteanu & Francesca Molinari, 2008. "Asymptotic Properties for a Class of Partially Identified Models," Econometrica, Econometric Society, vol. 76(4), pages 763-814, July.
    18. Giustinelli, Pamela & Manski, Charles F. & Molinari, Francesca, 2022. "Tail and center rounding of probabilistic expectations in the Health and Retirement Study," Journal of Econometrics, Elsevier, vol. 231(1), pages 265-281.
    19. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    20. Smith, V Kerry & Johnson, F Reed, 1988. "How Do Risk Perceptions Respond to Information? The Case of Radon," The Review of Economics and Statistics, MIT Press, vol. 70(1), pages 1-8, February.
    21. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    22. Camerer, Colin F, 1987. "Do Biases in Probability Judgment Matter in Markets? Experimental Evidence," American Economic Review, American Economic Association, vol. 77(5), pages 981-997, December.
    23. Matthew Wiswall & Basit Zafar, 2015. "Determinants of College Major Choice: Identification using an Information Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 791-824.
    24. Erzo F. P. Luttmer & Andrew A. Samwick, 2018. "The Welfare Cost of Perceived Policy Uncertainty: Evidence from Social Security," American Economic Review, American Economic Association, vol. 108(2), pages 275-307, February.
    25. David H. Autor, 2003. "Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 1-42, January.
    26. B. Douglas Bernheim, 1990. "How Do the Elderly Form Expectations? An Analysis of Responses to New Information," NBER Chapters, in: Issues in the Economics of Aging, pages 259-286, National Bureau of Economic Research, Inc.
    27. Rosenzweig, Mark R & Wolpin, Kenneth I, 1994. "Parental and Public Transfers to Young Women and Their Children," American Economic Review, American Economic Association, vol. 84(5), pages 1195-1212, December.
    28. W. Kip Viscusi & Jahn Hakes, 2003. "Risk ratings that do not measure probabilities," Journal of Risk Research, Taylor & Francis Journals, vol. 6(1), pages 23-43, January.
    29. Olivier Armantier & Wändi Bruine de Bruin & Giorgio Topa & Wilbert Klaauw & Basit Zafar, 2015. "Inflation Expectations And Behavior: Do Survey Respondents Act On Their Beliefs?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 505-536, May.
    30. Christopher D. Carroll, 2003. "Macroeconomic Expectations of Households and Professional Forecasters," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 269-298.
    31. van der Klaauw, Wilbert & Wolpin, Kenneth I., 2008. "Social security and the retirement and savings behavior of low-income households," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 21-42, July.
    32. Viscusi, W Kip & O'Connor, Charles J, 1984. "Adaptive Responses to Chemical Labeling: Are Workers Bayesian Decision Makers?," American Economic Review, American Economic Association, vol. 74(5), pages 942-956, December.
    33. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    34. Adeline Delavande & Susann Rohwedder, 2011. "Differential Survival in Europe and the United States: Estimates Based on Subjective Probabilities of Survival," Demography, Springer;Population Association of America (PAA), vol. 48(4), pages 1377-1400, November.
    35. Jun, Seung-Pyo & Yoo, Hyoung Sun & Choi, San, 2018. "Ten years of research change using Google Trends: From the perspective of big data utilizations and applications," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 69-87.
    36. Pamela Giustinelli & Charles F. Manski & Francesca Molinari, 2019. "Precise or Imprecise Probabilities? Evidence from Survey Response on Late-onset Dementia," NBER Working Papers 26125, National Bureau of Economic Research, Inc.
    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. Gizem Koşar & Cormac O'Dea, 2022. "Expectations Data in Structural Microeconomic Models," NBER Working Papers 30094, National Bureau of Economic Research, Inc.
    2. 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.
    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. Tullio Jappelli & Immacolata Marino & Mario Padula, 2021. "Social Security Uncertainty and Demand for Retirement Saving," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(4), pages 810-834, December.
    5. Kanabar, Ricky & Nivalainen, Satu & Järnefelt, Noora, 2024. "‘Relabelling’ of individual early retirement pension in Finland: Application and behavioural responses using Finnish register data," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 20-38.
    6. Etgeton, Stefan & Fischer, Björn & Ye, Han, 2023. "The effect of increasing retirement age on households’ savings and consumption expenditure," Journal of Public Economics, Elsevier, vol. 221(C).
    7. Soeren Leth-Petersen & Andrew Caplin & Eungik Lee & Johan Saeverud, 2022. "Communicating Social Security Reform," CEBI working paper series 22-19, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    8. Kanabar, Ricky & Nivalainen, Satu & Järnefelt, Noora, 2023. "‘Relabelling’ of individual retirement pension in Finland: application and behavioural responses using Finnish register data," ISER Working Paper Series 2023-05, Institute for Social and Economic Research.
    9. Kalwij, Adriaan & Kanabar, Ricky, 2022. "State Pension eligibility age and retirement behaviour: evidence from the United Kingdom Household Longitudinal Study," ISER Working Paper Series 2022-05, Institute for Social and Economic Research.

    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. Andrade, Philippe & Gautier, Erwan & Mengus, Eric, 2023. "What matters in households’ inflation expectations?," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 50-68.
    2. 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.
    3. Adeline Delavande, 2008. "Measuring revisions to subjective expectations," Journal of Risk and Uncertainty, Springer, vol. 36(1), pages 43-82, February.
    4. 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.
    5. Andreas Fuster & Ricardo Perez-Truglia & Mirko Wiederholt & Basit Zafar, 2022. "Expectations with Endogenous Information Acquisition: An Experimental Investigation," The Review of Economics and Statistics, MIT Press, vol. 104(5), pages 1059-1078, December.
    6. Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021. "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 507-520.
    7. Cornand, Camille & Hubert, Paul, 2020. "On the external validity of experimental inflation forecasts: A comparison with five categories of field expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    8. Camille Cornand & Paul Hubert, 2021. "Information frictions in inflation expectations among five types of economic agents," Working Papers halshs-03351632, HAL.
    9. 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.
    10. repec:hal:spmain:info:hdl:2441/7t8isspkbs8hk8kol9kk9sjdl6 is not listed on IDEAS
    11. Cornand, Camille & Hubert, Paul, 2022. "Information frictions across various types of inflation expectations," European Economic Review, Elsevier, vol. 146(C).
    12. Charles F. Manski, 2018. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Macroeconomics Annual, University of Chicago Press, vol. 32(1), pages 411-471.
    13. repec:spo:wpmain:info:hdl:2441/7t8isspkbs8hk8kol9kk9sjdl6 is not listed on IDEAS
    14. Chee-Hong Law & Kim Huat Goh, 2024. "A systematic literature review of the implications of media on inflation expectations," International Economics and Economic Policy, Springer, vol. 21(2), pages 311-340, May.
    15. Camille Cornand & Paul Hubert, 2018. "On the external validity of experimental inflation forecasts: A comparison with five categories of field expectations," Working Papers halshs-01890770, HAL.
    16. J r my Boccanfuso, 2022. "Consumption Response Heterogeneity and Dynamics with an Inattention Region," Working Papers wp1172, Dipartimento Scienze Economiche, Universita' di Bologna.
    17. Abe, Naohito & Ueno, Yuko, 2015. "Measuring Inflation Expectations: Consumers' Heterogeneity and Nonlinearity," RCESR Discussion Paper Series DP15-5, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
    18. Camille Cornand & Paul Hubert, 2021. "Information frictions in inflation expectations among five types of economic agents," Working Papers hal-03468918, HAL.
    19. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," CEBI working paper series 21-15, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    20. Martin Geiger & Johann Scharler, 2021. "How Do People Interpret Macroeconomic Shocks? Evidence from U.S. Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(4), pages 813-843, June.
    21. 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.
    22. Abe, Naohito & Ueno, Yuko, 2016. "The Mechanism of Inflation Expectation Formation among Consumers," RCESR Discussion Paper Series DP16-1, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.

    More about this item

    Keywords

    Expectations; Retirement; Pension reform uncertainty; Reform announcement; Online search; Rational inattention;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

    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:cpr:ceprdp:13988. 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: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    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.