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Learning from Potentially Biased Statistics

Author

Listed:
  • Alberto Cavallo

    (Massachusetts Institute of Technology)

  • Guillermo Cruces

    (Universidad Nacional de La Plata)

  • Ricardo Perez-Truglia

    (Microsoft Research)

Abstract

No abstract is available for this item.

Suggested Citation

  • Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2016. "Learning from Potentially Biased Statistics," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 59-108.
    • Handle: RePEc:bin:bpeajo:v:47:y:2016:i:2016-01:p:59-108
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    File URL: https://www.brookings.edu/wp-content/uploads/2016/03/cavallotextspring16bpea.pdf
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    References listed on IDEAS

    as
    1. Alberto Cavallo & Roberto Rigobon, 2016. "The Billion Prices Project: Using Online Prices for Measurement and Research," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 151-178, Spring.
    2. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Is the Phillips Curve Alive and Well after All? Inflation Expectations and the Missing Disinflation," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 197-232, January.
    3. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    4. Bates, John M. & Gabor, Andre, 1986. "Price perception in creeping inflation: Report on an enquiry," Journal of Economic Psychology, Elsevier, vol. 7(3), pages 291-314, September.
    5. Saten Kumar & Hassan Afrouzi & Olivier Coibion & Yuriy Gorodnichenko, 2015. "Inflation Targeting Does Not Anchor Inflation Expectations: Evidence from Firms in New Zealand," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(2 (Fall)), pages 151-225.
    6. Paul E. Carrillo & M. Shahe Emran, 2012. "Public Information and Inflation Expectations: Microeconometric Evidence from a Natural Experiment," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 860-877, November.
    7. Ulrike Malmendier & Stefan Nagel, 2016. "Learning from Inflation Experiences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(1), pages 53-87.
    8. Sebastian J. Goerg & Johannes Kaiser, 2009. "Nonparametric testing of distributions—the Epps–Singleton two-sample test using the empirical characteristic function," Stata Journal, StataCorp LLC, vol. 9(3), pages 454-465, September.
    9. Tomasz Kamil Michalski & Guillaume Stoltz, 2010. "Do countries falsify economic date strategically? Some evidence that they do," Working Papers hal-00540794, HAL.
    10. Tomasz Michalski & Gilles Stoltz, 2013. "Do Countries Falsify Economic Data Strategically? Some Evidence That They Might," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 591-616, May.
    11. 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.
    12. Jonung, Lars, 1981. "Perceived and Expected Rates of Inflation in Sweden," American Economic Review, American Economic Association, vol. 71(5), pages 961-968, December.
    13. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2014. "Inflation Expectations, Learning and Supermarket Prices," NBER Working Papers 20576, National Bureau of Economic Research, Inc.
    14. Cavallo, Alberto, 2013. "Online and official price indexes: Measuring Argentina's inflation," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 152-165.
    15. Badarinza, Cristian & Gross, Marco, 2009. "Inflation perceptions and expectations in the euro area: the role of news," Working Paper Series 1088, European Central Bank.
    16. Lamla, Michael J. & Lein, Sarah M., 2014. "The role of media for consumers’ inflation expectation formation," Journal of Economic Behavior & Organization, Elsevier, vol. 106(C), pages 62-77.
    17. Rüdiger Bachmann & Tim O. Berg & Eric R. Sims, 2015. "Inflation Expectations and Readiness to Spend: Cross-Sectional Evidence," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 1-35, February.
    18. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Ingar Haaland & Julian König & Christopher Roth & Johannes Wohlfart, 2024. "Information Experiments," ECONtribute Discussion Papers Series 271, University of Bonn and University of Cologne, Germany.
    2. Miranda-Zanetti, Maximilano & Delbianco, Fernando & Tohmé, Fernando, 2019. "Tampering with inflation data: A Benford law-based analysis of national statistics in Argentina," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 761-770.
    3. Ángelo Gutiérrez-Daza, 2024. "Business Cycles when Consumers Learn by Shopping," Working Papers 2024-12, Banco de México.
    4. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2017. "Inflation Expectations, Learning, and Supermarket Prices: Evidence from Survey Experiments," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(3), pages 1-35, July.
    5. van Bergeijk, P.A.G., 2017. "Measurement error of global production," ISS Working Papers - General Series 632, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    6. Baqaee, David Rezza, 2020. "Asymmetric inflation expectations, downward rigidity of wages, and asymmetric business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 174-193.
    7. Daniel J. Benjamin, 2018. "Errors in Probabilistic Reasoning and Judgment Biases," GRU Working Paper Series GRU_2018_023, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    8. Das, Abhiman & Lahiri, Kajal & Zhao, Yongchen, 2019. "Inflation expectations in India: Learning from household tendency surveys," International Journal of Forecasting, Elsevier, vol. 35(3), pages 980-993.
    9. Pappalardo, Gioacchino & West, Grant Howard & Nayga, Rodolfo M. & Toscano, Sabrina & Pecorino, Biagio, 2022. "The effect of a UNESCO world heritage site designation on willingness to pay to preserve an agri-environmental good: The case of the dry stone walls in Mt. Etna," Land Use Policy, Elsevier, vol. 114(C).
    10. Alberto Cavallo, 2017. "Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers," American Economic Review, American Economic Association, vol. 107(1), pages 283-303, January.
    11. Peter A.G. van Bergeijk, 2017. "Making Data Measurement Errors Transparent: The Case of the IMF," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 18(3), pages 133-154, July.
    12. 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.
    13. Alberto Cavallo & Roberto Rigobon, 2016. "The Billion Prices Project: Using Online Prices for Measurement and Research," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 151-178, Spring.
    14. Young Bin Ahn & Yoichi Tsuchiya, 2022. "Consumer’s perceived and expected inflation in Japan—irrationality or asymmetric loss?," Empirical Economics, Springer, vol. 63(3), pages 1247-1292, September.

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