Enhancing survey‐based investment forecasts
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DOI: 10.1002/for.2567
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Cited by:
- Ciaran Driver, 2019. "Trade liberalization and South African manufacturing: Looking back with data," WIDER Working Paper Series wp-2019-30, World Institute for Development Economic Research (UNU-WIDER).
- Kladivko, Kamil & Österholm, Pär, 2020. "Can Households Predict where the Macroeconomy is Headed?," Working Papers 2020:11, Örebro University, School of Business.
- Blagov, Boris & Müller, Henrik & Jentsch, Carsten & Schmidt, Torsten, 2021. "The investment narrative: Improving private investment forecasts with media data," Ruhr Economic Papers 921, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Claveria, Oscar & Monte, Enric & Torra, Salvador, 2020. "Economic forecasting with evolved confidence indicators," Economic Modelling, Elsevier, vol. 93(C), pages 576-585.
- Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2022. "Assessing the usefulness of survey‐based data in forecasting firms' capital formation: Evidence from Italy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 491-513, April.
- Oscar Claveria & Enric Monte & Salvador Torra, 2021.
"“Nowcasting and forecasting GDP growth with machine-learning sentiment indicators”,"
AQR Working Papers
202101, University of Barcelona, Regional Quantitative Analysis Group, revised Feb 2021.
- Oscar Claveria & Enric Monte & Salvador Torra, 2021. ""Nowcasting and forecasting GDP growth with machine-learning sentiment indicators"," IREA Working Papers 202103, University of Barcelona, Research Institute of Applied Economics, revised Feb 2021.
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