Table A3.

Results for non-CFA countries

Variable1234
Gini (t−1)1.022*** (0.016)1.001*** (0.021)1.013*** (0.021)1.023*** (0.014)
Gdppc0.008 (0.085)0.222** (0.092)−0.068 (0.071)−2.367 (1.747)
MP0.012 (0.013)0.014 (0.009)0.002 (0.003)−0.005 (0.004)
FD0.512 (0.540)  −3.727* (2.234)
FD×MP−0.089 (0.069)   
FI −1.137** (0.510)  
FI×MP −0.049*** (0.018)  
FM  1.564*** (0.601) 
FM×MP  −0.051*** (0.018) 
gdppc²   0.172 (0.124)
FD²   6.032* (3.297)
Constant−1.169 (0.968)−1.285 (1.094)−0.237 (0.996)7.309 (6.293)
Obs300300300300
N22222222
Wald (p-value)0.000.000.000.00
Sargan[p-value]12.78[0.99]11.41[0.99]10.09[0.99]9.47[0.99]
AR(1) test[p-value]−2.91[0.00]−3.06[0.00]−3.18[0.00]−3.21[0.00]
AR(2) test[p-value]0.79[0.43]1.17[0.24]0.82[0.41]1.32[0.19]

Notes:

This table presents the results from the regressions of income inequality on GDP per capita, monetary policy (MP), financial development (FD) and the interaction between monetary policy and financial development. The dependent variable is the net Gini coefficient. Columns 2 and 3 consider respectively, the financial institution (FI) and financial markets (FM) aspects of the financial system. Column 4 captures the hypothesized non-linear relationship between growth, financial development and inequality. The results reported in this table exclude CFA countries from the sample. *, ** and *** denote significance at the 10, 5 and 1% levels. Standard errors in parentheses. The results reported are for the two-step estimations and 2 maximum lags of the dependent variable are specified as instruments

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