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Table 2 Income elasticity for rehabilitative services, by model specification (Log-log functions used in all models)

From: Is economic growth enough to propel rehabilitation expenditures? An empirical analysis of country panel data and policy implications

 

Fixed-effects model

Lag-model

Income elasticity

(Std. error)

0.90***

(0.345)

1.362***

(0.029)

R-squared

0.689

0.781

Sample size

211

176

  1. Notes:
  2. (***) p < 0.01; (**) p < 0.05; (*) p < 0.10
  3. All models include as controls total current health expenditure, population, country’s income classification data, life expectancy, percentage of people above age 65. In the lag-models, to control for time-variant unobservable factors, parameters are estimated using two waves of data resulting in a smaller sample size. All missing variables for the control variables were imputed at the mean value and a corresponding dummy for missing was added. Robust standard errors were computed