Economic forecast quality: information timeliness and data vintage effects
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DOI: 10.1007/s00181-012-0672-3
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- Bennöhr, Lars & Oestmann, Marco, 2014. "Determinants of house price dynamics. What can we learn from search engine data?," Working Paper 153/2014, Helmut Schmidt University, Hamburg.
- Oestmann, Marco & Bennöhr, Lars, 2015. "Determinants of house price dynamics. What can we learn from search engine data?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113198, Verein für Socialpolitik / German Economic Association.
- Yang, Ann Shawing, 2020. "Misinformation corrections of corporate news: Corporate clarification announcements," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
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More about this item
Keywords
Economic forecasting; Publication lags; Data vintage; C22; C53; E00;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E00 - Macroeconomics and Monetary Economics - - General - - - General
Statistics
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