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Can Households Predict where the Macroeconomy is Headed?

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Abstract

In this paper, we evaluate households’ directional forecasts of inflation and the unemployment rate in Sweden. The analysis is conducted using monthly forecasts from the National Institute of Economic Research’s Economic Tendency Survey that range from January 1996 until August 2019. Results indicate that households have statistically significant ability to forecast where the unem-ployment is headed, but they fail in predicting the direction of future inflation.

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  • Kladivko, Kamil & Österholm, Pär, 2020. "Can Households Predict where the Macroeconomy is Headed?," Working Papers 2020:11, Örebro University, School of Business.
    • Handle: RePEc:hhs:oruesi:2020_011
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    1. Hansson, Jesper & Jansson, Per & Lof, Marten, 2005. "Business survey data: Do they help in forecasting GDP growth?," International Journal of Forecasting, Elsevier, vol. 21(2), pages 377-389.
    2. Berge, Travis J., 2018. "Understanding survey-based inflation expectations," International Journal of Forecasting, Elsevier, vol. 34(4), pages 788-801.
    3. Carroll, Christopher D & Fuhrer, Jeffrey C & Wilcox, David W, 1994. "Does Consumer Sentiment Forecast Household Spending? If So, Why?," American Economic Review, American Economic Association, vol. 84(5), pages 1397-1408, December.
    4. Christian Dreger & Konstantin Arkadievich Kholodilin, 2013. "Forecasting Private Consumption by Consumer Surveys," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(1), pages 10-18, January.
    5. Greer, Mark, 2003. "Directional accuracy tests of long-term interest rate forecasts," International Journal of Forecasting, Elsevier, vol. 19(2), pages 291-298.
    6. Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-565, October.
    7. Hjalmarsson, Erik & Österholm, Pär, 2019. "A micro-data analysis of households’ expectations of mortgage rates," Economics Letters, Elsevier, vol. 185(C).
    8. Bharat Trehan, 2015. "Survey Measures of Expected Inflation and the Inflation Process," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(1), pages 207-222, February.
    9. Ciaran Driver & Nigel Meade, 2019. "Enhancing survey‐based investment forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(3), pages 236-255, April.
    10. Easaw, Joshy Z. & Heravi, Saeed M., 2004. "Evaluating consumer sentiments as predictors of UK household consumption behavior: Are they accurate and useful?," International Journal of Forecasting, Elsevier, vol. 20(4), pages 671-681.
    11. Blaskowitz, Oliver & Herwartz, Helmut, 2014. "Testing the value of directional forecasts in the presence of serial correlation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 30-42.
    12. Batchelor, Roy A & Dua, Pami, 1989. "Household versus Economist Forecasts of Inflation: A Reassessment: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 21(2), pages 252-257, May.
    13. Lloyd B. Thomas, 1999. "Survey Measures of Expected U.S. Inflation," Journal of Economic Perspectives, American Economic Association, vol. 13(4), pages 125-144, Fall.
    14. Hjalmarsson, Erik & Österholm, Pär, 2017. "Households’ Mortgage-Rate Expectations: More Realistic than at First Glance?," Working Papers 2017:9, Örebro University, School of Business.
    15. Santiago Pinto & Pierre-Daniel G. Sarte & Robert Sharp, 2015. "Learning About Consumer Uncertainty from Qualitative Surveys: As Uncertain As Ever," Working Paper 15-9, Federal Reserve Bank of Richmond.
    16. Hamid Baghestani & Mohammad Arzaghi & Ilker Kaya, 2015. "On the accuracy of Blue Chip forecasts of interest rates and country risk premiums," Applied Economics, Taylor & Francis Journals, vol. 47(2), pages 113-122, January.
    17. Jonung, Lars, 1981. "Perceived and Expected Rates of Inflation in Sweden," American Economic Review, American Economic Association, vol. 71(5), pages 961-968, December.
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    Cited by:

    1. Charles Ka Yui LEUNG, 2022. "Housing and Macroeconomics," ISER Discussion Paper 1197, Institute of Social and Economic Research, Osaka University.

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    More about this item

    Keywords

    Survey data; Directional forecasts; Inflation; Unemployment;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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