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Campisi, Domenico; De Nicola, Arianna; Farhadi, Maryam; … - In: Inventi impact: microfinance & banking (2014) 3, pp. 152-161

Persistent link: https://www.econbiz.de/10010423889

Forecasting financial and macroeconomic variables using data reduction methods : new empirical evidence

Kim, Hyun Hak; Swanson, Norman R. - In: Journal of econometrics 178 (2014) 1, pp. 352-367

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Analysing farmland rental rates using Bayesian geoadditive quantile regression

März, Alexander; Klein, Nadja; Kneib, Thomas; … - 2014 - This version: February 14, 2014

Empirical studies on farmland rental rates have predominantly concentrated on modelling conditional means using spatial autoregressive models, where a linear functional form between the response and the covariates is usually assumed. However, if it is in fact non-linear, misspecifying the...

Persistent link: https://www.econbiz.de/10010242847

Predicting recessions with leading indicators : model averaging and selection over the business cycle

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Student and school performance across countries : a machine learning approach

Masci, Chiara; Johnes, Geraint; Agasisti, Tommaso - In: European journal of operational research : EJOR 269 (2018) 3, pp. 1072-1085

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Understanding survey based inflation expectations

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Google data in bridge equation models for German GDP

Götz, Thomas B.; Knetsch, Thomas A. - In: International journal of forecasting 35 (2019) 1, pp. 45-66

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Gradient boosting survival tree with applications in credit scoring

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Can deep neural networks outperform Fama-MacBeth regression and other supervised learning approaches in stock returns prediction with asset-pricing factors?

Teng, Huei-Wen; Li, Yu-Hsien - In: Digital finance : smart data analytics, investment … 5 (2023) 1, pp. 149-182

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