From: Infant mortality in Brazil, 1980-2000: A spatial panel data analysis

Spatial fixed effects | ||||
---|---|---|---|---|

Dependent variable: log(infant mortality rate) _{t} - log(infant mortality rate)_{t-1}
| FE SEA model | FE SAR model | ||

Number of public health care institutions per 1,000 people
_{
t-1
}
| 0.046 | ** | 0.033 | * |

Number of private health care institutions per 1,000 people
_{
t-1
}
| 0.182 | *** | 0.184 | *** |

% of households with access to water
_{
t-1
}
| 0.212 | *** | 0.170 | *** |

% of households with access to sanitation
_{
t-1
}
| 0.133 | *** | 0.134 | *** |

Average income (2000 R$)
_{
t-1
}
| 0.000 | 0.000 | ||

Gini Index
_{
t-1
}
| -0.248 | *** | -0.264 | *** |

Female illiteracy rate (15 years old or more)
_{
t-1
}
| -0.275 | *** | -0.346 | *** |

% of urban population
_{
t-1
}
| -0.061 | -0.069 | ||

Adolescent fertility rate (10-19 years old)
_{
t-1
}
| -0.385 | *** | -0.222 | |

W * Number of public health care institutions per 1,000 people
_{
t- 1
}
| -0.069 | |||

W * Number of private health care institutions per 1,000 people
_{
t-1
}
| 0.593 | *** | ||

W * % of households with access to water
_{
t-1
}
| 0.189 | *** | ||

W * % of households with access to sanitation
_{
t-1
}
| 0.204 | *** | ||

Spatial error autocorrelation (ρ)
| 0.553 | *** | ||

Spatial lag of the log(infant mortality rate) (δ)
| 0.5530 | *** | ||

R
^{2}
| 0.5478 | 0.6607 | ||

${\mathbf{\sigma}}_{\mathbf{\epsilon}}^{\mathbf{2}}$ | 0.0262 | 0.0262 | ||

Loglikelihood
| 2,724 | 2,723 | ||

AIC
| -5,421 | -5,426 | ||

Corr-squared
| 0.1792 | 0.1803 | ||

N
| 7,318 | 7,318 |