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Applied Economics Letters Volume 21, 2014 - Issue 2
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Original Articles

Survey data and short-term forecasts of Swedish GDP growth

Pär ÖsterholmNational Institute of Economic Research, 10362Stockholm, SwedenCorrespondence[email protected]
Pages 135-139 | Published online: 15 Oct 2013

Citations (17)

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Petar Sorić, Andrija Henjak & Mirjana Čižmešija. (2023) The decoupling of government sentiment and the macroeconomy in a highly polarised political setting. East European Politics 39:3, pages 523-553.
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Johanna Garnitz, Robert Lehmann & Klaus Wohlrabe. (2019) Forecasting GDP all over the world using leading indicators based on comprehensive survey data. Applied Economics 51:54, pages 5802-5816.
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Oscar Claveria, Enric Monte & Salvador Torra. (2017) Using Survey Data to Forecast Real Activity with Evolutionary Algorithms. a Cross-Country Analysis. Journal of Applied Economics 20:2, pages 329-349.
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Articles from other publishers (14)

Robert Lehmann. (2022) The Forecasting Power of the ifo Business Survey. Journal of Business Cycle Research 19:1, pages 43-94.
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Mirjana Čižmešija & Tihana Škrinjarić. (2021) Economic sentiment and business cycles: A spillover methodology approach. Economic Systems 45:3, pages 100770.
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Kristian Jönsson. (2021) Bootstrap aggregation accuracy gains in nearest‐neighbor nowcasting of Swedish gross domestic product. Applied AI Letters 2:2.
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Petar Sorić, Mirjana Čižmešija & Marina Matošec. (2020) EU Consumer Confidence and the New Modesty Hypothesis. Social Indicators Research 152:3, pages 899-921.
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Kristian Jönsson. (2020) Machine Learning and Nowcasts of Swedish GDP. Journal of Business Cycle Research 16:2, pages 123-134.
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Erik Frohm. (2020) Price-setting and economic slack: Evidence from firm-level survey data. Journal of Macroeconomics 65, pages 103235.
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Martin Solberger & Erik Spånberg. (2019) Estimating a Dynamic Factor Model in EViews Using the Kalman Filter and Smoother. Computational Economics 55:3, pages 875-900.
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Mirjana Čižmešija, Zrinka Lukač & Tomislav Novoselec. (2019) Nonlinear optimisation approach to proposing novel Croatian Industrial Confidence Indicator. Croatian Review of Economic, Business and Social Statistics 5:2, pages 17-26.
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Ard den Reijer & Andreas Johansson. (2018) Nowcasting Swedish GDP with a large and unbalanced data set. Empirical Economics 57:4, pages 1351-1373.
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Oscar Claveria, Enric Monte & Salvador Torra. (2017) Evolutionary Computation for Macroeconomic Forecasting. Computational Economics 53:2, pages 833-849.
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Maria Billstam, Kristina Frändén, Johan Samuelsson & Pär Österholm. (2017) Quasi-Real-Time Data of the Economic Tendency Survey. Journal of Business Cycle Research 13:1, pages 105-138.
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Hamid Baghestani & Bassam M. AbuAl-Foul. (2017) Comparing Federal Reserve, Blue Chip, and time series forecasts of US output growth. Journal of Economics and Business 89, pages 47-56.
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Bengt Assarsson,P?r ?sterholm. (2015) Do Swedish Consumer Confidence Indicators Do What They Are Intended to Do?. Applied Economics Quarterly 61:4, pages 391-404.
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Oscar Claveria, Enric Monte & Salvador Torra. (2018) Tracking Economic Growth by Evolving Expectations Via Genetic Programming: A Two-Step Approach. SSRN Electronic Journal.
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