1. Model specification error: Equations (1)–(3) omit PARM and GDP, and no error term, yet Table 3 reports coefficients for both. Please provide the exact estimated equations. Also, if the dependent variables were not logged, the reported “1% increase → x% decrease” elasticities are invalid.
2. Wooldridge is a serial-correlation test, not a multicollinearity test; multicollinearity requires VIF/tolerance. All reported p-values are <0.05, yet the text says there is no heteroskedasticity/multicollinearity and even states “probability >5% so null hypothesis is rejected.” This is both statistically and logically wrong.
3. Table 2 Hausman results are impossible. For df = 5, χ² = 10, 20, and 30 cannot all have p = 1.00. These p-values need correction. If the Hausman test is invalid, the choice of random effects is not justified.
4. The claim that Tehran had 950 physicians, 972 nurses, and 355 paramedics “per 1000 population,” and North Khorasan had 77 physicians/1000, is impossible. Are these total counts, not per-1000 rates?
5. Figure 1 is misleading. It plots MMR (per 100,000 live births) on the same y-axis as IMR/U5MR (per 1,000) and human resources per 1,000. The legend also says “under 5 mo,” not under-five mortality rate.
6. Methods define GDP as provincial gross domestic product, but results/discussion interpret it as per capita income. Please state exactly which variable was used and how it was deflated.
7. Table 1 indicates significant heteroskedasticity/serial correlation, but the models appear to use standard random-effects SEs. Were robust/clustered SEs used? Also, no endogeneity/reverse-causality strategy is discussed for health workforce and mortality.
