Table 2 below shows regression results from the study of Schularick and Taylor (2012).1 The dataset comprises annual panel data for 12 countries between 1870 and 2008. The study asks a simple question: does a country's recent history of credit growth help predict a financial crisis? The dependent variable is the probability of a financial crisis event pit in country i in year t.
Table 2. Credit growth and financial crisis.
Ordinary Least Squares | |||
Country fixed effects | |||
Explanatory variables | dependent variable in year t: pit | ||
credit growth in the previous year (t-1) | -0.0273 | ||
(0.0815) | |||
credit growth in year t-2 | 0.302 | ||
(0.0872) | |||
credit growth in year t-3 | 0.0478 | ||
(0.0853) | |||
credit growth in year t-4 | 0.00213 | ||
(0.0814) | |||
credit growth in year t-5 | 0.0928 | ||
(0.0752) | |||
Observations | 1,272 | ||
Countries | 14 | ||
R-squared | 0.023 | ||
Standard errors appear in parentheses. |
Use the |t|>2 rule of thumb in your answers to indicate significance at the 95% level
What is the estimated equation that corresponds to the results of Table 2? Which coefficients in Table 2 are statistically significant?
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