Consider the following table of regression output. The dependent variable is In GDP per capita. The...
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Consider the following table of regression output. The dependent variable is In GDP per capita. The explanatory variables are the urbanization rate in 1500 and an indicator for being a country that was colonized. | (1) (2) Urbanization rate in 1500 0.001 0.068 (0.019) (0.023) Indicator for being a former colony -0.536 0.519 (0.191) (0.300) (Urbanization rate in 1500) X (Indicator -0.146 for being a former colony) (0.034) R2 0.092 0.262 Number of observations 84 84 Here are some summary statistics to help interpret the regression results: Mean St. Dev. Min Мах In GDP per capita, 1995 Urbanization rate in 1500 Indicator for being a former colony 8.73 0.89 6.88 10.22 7.32 5.14 28 0.49 0.50 1 a) Interpret the coefficients in model (1). b) Interpret the coefficients in model (2). Consider the following table of regression output. The dependent variable is In GDP per capita. The explanatory variables are the urbanization rate in 1500 and an indicator for being a country that was colonized. | (1) (2) Urbanization rate in 1500 0.001 0.068 (0.019) (0.023) Indicator for being a former colony -0.536 0.519 (0.191) (0.300) (Urbanization rate in 1500) X (Indicator -0.146 for being a former colony) (0.034) R2 0.092 0.262 Number of observations 84 84 Here are some summary statistics to help interpret the regression results: Mean St. Dev. Min Мах In GDP per capita, 1995 Urbanization rate in 1500 Indicator for being a former colony 8.73 0.89 6.88 10.22 7.32 5.14 28 0.49 0.50 1 a) Interpret the coefficients in model (1). b) Interpret the coefficients in model (2).
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