Forecasting the global shortage of physicians: an economic- and needs-based approach
Richard M Scheffler, Jenny X Liu, Yohannes Kinfu, Mario R Dal Poz
Volume 86, Number 7, July 2008, 516-523
Table 2. Ordinary least squares regression results of needs-based and demand-based modelsa
| Needs-based model:% live births attended by a skilled physicianb |
Demand-based model:logged physicians per 1000 |
||||
|---|---|---|---|---|---|
| Estimated coefficient | Robust standard error | Estimated coefficient | Robust standard error | ||
| Logged physicians per 1000 | 0.204c | 0.010 | |||
| Logged GNP per capita (t–5) | 0.237c | 0.074 | |||
| Middle-income country | –0.568c | 0.128 | |||
| Low-income country | –1.565c | 0.182 | |||
| Country fixed effects | Yes | Yes | |||
| N | 409 | 2 513 | |||
| R² | 0.974 | ||||
| Wald-stat (P > χ²) | 446.52 | 0.000 | |||
| F-stat (P-value) | 74.15 | 0.000 | |||
GNP, gross national product.a Full sample n = 158 countries. Standard errors are clustered at the country level. Regressions are weighted by population size.b Sin–1 transformation applied.c Significant at 1% level.Data source: World development indicators database,12 World health statistics 2006,13 Health nutrition population statistics, OECD health data 2005,14 2004 revision population database.15
