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Article title
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Abstract
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Keywords
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1. Introduction
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2. Literature review
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2.1. Evaluation of treatment effects
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2.2. Effects and efficiency of banking regulation
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3. Methodology
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3.1. Bank for International Settlements (BIS) approach
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3.1.2. Fixed effects model for panel data
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3.2. Robustness checks
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3.2.2. Capturing the asymmetric effects
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3.2.3. Calculations based on quarterly data and considering bank mergers
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3.2.4. Replacing the capital ratio with capital buffer
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3.2.5. Endogenous treatment effects
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3.3. Forecasting the measures’ effects at the level of the banking system
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4. Data
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4.1. Lending dynamics and macroeconomic indicators
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4.2. Bank indicators
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4.3. Measures of the Bank of Russia
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4.3.1. Adjustment for limited information for 2014
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4.3.2. Methods of gauging measures
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4.4. Russian Government supportive measures
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4.4.1. Direct accounting
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4.4.2. Indirect accounting
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4.4.3. Synergy effect of easing measures of the Bank of Russia and the Russian Government
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4.5. Outliers’ exclusion
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5. Consolidated results of econometric modeling
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5.1. Visual analysis of the data
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5.2. Endogenous treatment effects
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5.2.1. Factors influencing the non-random selection of measures
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5.2.2. Quantitative estimates of endogenous effects
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5.3. Quantitative effects
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5.3.2. Multiplicative effect of the Bank of Russia easing measures
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5.3.3. Russian Government supportive measures
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5.3.4. Synergy effect of the Bank of Russia and the Government of Russia measures
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6. Discussion
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7. Conclusion
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Acknowledgements
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References
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