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Table 2 Fixed effect regression models with MR as dependent variable

From: Real and predicted mortality under health spending constraints in Italy: a time trend analysis through artificial neural networks

 

Model a)

Model b)

Model c)

Model d)

Model e)

 DPS

−0.0077** (0.0280)

−0.0061*** (0.0060)

−0.0111 *** (0.0007)

− 0.0099 *** (0.0013)

−0.0107*** (0.0047)

 TAUS

−0.0019 (0.6855)

0.0001 (0.9801)

0.0033 (0.5172)

−0.0025 (0.6219)

0.0071 (0.1812)

 FHE

−0.0049 (0.3618)

−0.0052** (0.0373)

−0.0023 (0.6952)

− 0.0041 (0.3259)

0.0018 (0.6190)

Social Condition

 Unemployment

0.0395 (0.5648)

0.0175 (0.8443)

 Educational level

−0.0029 (0.9729)

−0.0652 (0.5908)

 GDP

−0.0001 (0.2329)

−0.0002 (0.2949)

Lifestyle

 Smoke rate

−0.0295 (0.7451)

0.0232 (0.8346)

 Obesity rate

−0.0499 (0.7843)

−0.0701 (0.7094)

 Sport active people

−0.1316 (0.2334)

−0.1861* (0.0542)

Healthcare

 HB

−0.0629 (0.3192)

−0.2786** (0.0276)

 NN

0.0006** (0.0388)

0.0004 (0.1775)

  1. *** = p < 0.01; ** = p < 0.05; * = p < 0.1. Control variables are described in Additional file 1