Modelling bank lending in the euro area: a nonlinear approach
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DOI: 10.1080/09603101003781430
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- Leonardo Gambacorta & Carlotta Rossi, 2007. "Modelling bank lending in the euro area: A non-linear approach," Temi di discussione (Economic working papers) 650, Bank of Italy, Economic Research and International Relations Area.
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- Onder Ozgur & Erdal Tanas Karagol & Fatih Cemil Ozbugday, 2021. "Machine learning approach to drivers of bank lending: evidence from an emerging economy," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-29, December.
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- Apostolos Serletis & Maksim Isakin, "undated". "Banking Technology in a Markov Switching Economy," Working Papers 2018-18, Department of Economics, University of Calgary, revised 15 Nov 2018.
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- Leontieva, E.A. & Perevyshin, Y.N., 2015. "Credit Channel of Monetary Policy Transmission in Russia," Published Papers 431505, Russian Presidential Academy of National Economy and Public Administration.
- Geun-Young Kim & Hail Park & Peter Tillmann, 2016. "The Spillover Effects of U.S. Monetary Policy on Emerging Market Economies: Breaks, Asymmetries and Fundamentals," Working Papers 2016-1, Economic Research Institute, Bank of Korea.
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JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
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