Table 1.
Reports the results of the estimation of multiple regression model (equation (1)) using time series data. The dependent variable is the maternal mortality rate (MMR). Standard errors are reported in italics, and ∗∗∗, ∗∗, and∗ denote statistical significance at the 0.1%, 1%, and 5% levels, respectively. The values in parentheses are P values generated from statistical software (R studio).
| Dependent variable: maternal mortality rate (MMR) | ||||||
|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | (6) | |
| GDP | -1.6990 (0.07332) | |||||
| FLR | −0.3497∗(0.02700) | |||||
| BCH | −0.5035∗∗(0.005258) | |||||
| Per capita Health Expenditure | −17.01∗∗(0.006297) | |||||
| Nurses and midwives | −1.8085∗(0.01181) | |||||
| Sanitation Facilities | −0.21557∗(0.031) | |||||
| Constant | 1268.18∗∗(0.00855) | 753.93∗∗(0.00905) | 1303.02∗∗∗(0.000485) | 1231.12∗∗∗(0.000353) | 691.10∗∗(0.00153) | 200.69∗(0.0182) |
| R Squared | 0.5928 | 0.7442 | 0.884 | 0.8733 | 0.8279 | 0.9976 |
GDP: gross domestic product; FLR: female literacy rate; BCH: budget committed to health.