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In a recent paper, Bai and Perron (2006) demonstrate that their approach for testing for multiple structural breaks in time series works well in large samples, but they found substantial deviations in both the size and power of their tests in smaller samples. We propose modifying their methodology to deal with small samples by using Monte Carlo simulations to determine sample-specific critical values under the each time the test is run. We draw on the results of our simulations to offer practical suggestions on handling serial correlation, model misspecification, and the use of alternative test statistics for sequential testing. We show that, for most types of data generating processes in samples with as low as 50 observations, our proposed modifications perform substantially better.
Econometrics. --- Time-series analysis. --- Monte Carlo method. --- Artificial sampling --- Model sampling --- Monte Carlo simulation --- Monte Carlo simulation method --- Stochastic sampling --- Games of chance (Mathematics) --- Mathematical models --- Numerical analysis --- Numerical calculations --- Stochastic processes --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Economics, Mathematical --- Statistics --- Data Processing --- Data Collection and Data Estimation Methodology --- Computer Programs: General --- Data capture & analysis --- Data processing --- Electronic data processing
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This paper reviews the empirical relationships between credit growth, economic recovery, and bank profitability in Europe after the global financial crisis (GFC). We find that the post-GFC recoveries in Europe have been weaker than previous recoveries, with the “double-dip” recessions in 2011–12 in many countries and the worldwide reach of the GFC explaining the underperformance. Bank lending has been subdued as well, but this appears to have only held back the recovery relatively moderately. A 10 percent increase in bank credit to the private sector is associated with a rise of 0.6–1 percent in real GDP and 2–2½ percent in real private investment. These relationships have not changed significantly during and after the GFC. Loan quality, customer deposits, bank equity price index, and bank capital appear to be closely linked to bank lending. As expected, bank profitability is positively and significantly influenced by credit growth, but this relationship has weakened after the GFC.
Bank loans. --- Bank credit --- Loans --- Banks and Banking --- Financial Risk Management --- Macroeconomics --- Money and Monetary Policy --- 'Panel Data Models --- Spatio-temporal Models' --- Single Equation Models: Single Variables: Instrumental Variables (IFV) Estimation --- Money Supply --- Credit --- Money Multipliers --- Financial Crises --- Banks --- Depository Institutions --- Micro Finance Institutions --- Mortgages --- Measurement of Economic Growth --- Aggregate Productivity --- Cross-Country Output Convergence --- Economywide Country Studies: Europe --- Monetary Policy, Central Banking, and the Supply of Money and Credit: General --- Monetary economics --- Economic & financial crises & disasters --- Banking --- Financial crises --- Global financial crisis of 2008-2009 --- Money --- Credit booms --- Global Financial Crisis, 2008-2009 --- Banks and banking --- Iceland --- Panel Data Models --- Spatio-temporal Models
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