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Table 3 Estimates of β k parameters of Eq. (1), MORT st  = β k CUM_NCE s,tk + γ INCIDENCE s,t−1 + α s + δ t + ε st for different values of k

From: The impact of pharmaceutical innovation on cancer mortality in Mexico, 2003–2013

Column Parameter 1 2 3 4 5 6
Row Lag Estimate Std. err. Z Pr > |Z| Mean(∆CUM_ NCE_k) β k * mean(∆CUM_NCE_k)
  Both sexes (mean ∆MORT = − 0.50)
1 0 β 0 − 0.1628 0.0887 − 1.84 0.0664 2.3 − 0.380
2 3 β 3  0.1788 0.0827  2.16 0.0306 2.2 − 0.387
3 6 β 6  0.1702 0.0787  2.16 0.0306 2.3 − 0.397
4 9 β 9  0.1909 0.0511  3.74 0.0002 2.2 − 0.424
5 12 β 12  0.223 0.046  4.85 < 0.0001 2.1 − 0.471
6 15 β 15  0.217 0.0646  3.36 0.0008 1.6 − 0.338
7 18 β 18  0.257 0.0973  2.64 0.0083 1.3 − 0.328
        Average − 0.389
  Female (mean ∆MORT = − 0.39)
8 0 β 0 − 0.0949 0.0733 − 1.29 0.1953 2.4 − 0.223
9 3 β 3 − 0.1388 0.081 − 1.71 0.0866 2.2 − 0.310
10 6 β 6 − 0.1704 0.1013 − 1.68 0.0925 2.5 − 0.421
11 9 β 9  0.2081 0.0939  2.22 0.0267 2.2 − 0.465
12 12 β 12  0.2218 0.0908  2.44 0.0145 2.1 − 0.470
13 15 β 15 − 0.1552 0.0826 − 1.88 0.0601 1.4 − 0.219
14 18 β 18  0.2841 0.1175  2.42 0.0156 1.1 − 0.301
        Average − 0.344
  Male (mean ∆MORT = − 0.69)
15 0 β 0 − 0.1219 0.0913 − 1.33 0.1819 2.2 − 0.268
16 3 β 3 − 0.1153 0.0901 − 1.28 0.2008 2.0 − 0.231
17 6 β 6 − 0.0852 0.0955 − 0.89 0.3722 2.1 − 0.182
18 9 β 9 − 0.1512 0.1592 − 0.95 0.3423 1.9 − 0.282
19 12 β 12  0.3191 0.1155  2.76 0.0058 1.7 − 0.553
20 15 β 15  0.3212 0.1014  3.17 0.0015 1.3 − 0.407
21 18 β 18  0.2563 0.0819  3.13 0.0018 1.1 − 0.290
        Average − 0.316
  1. Estimates in bold are statistically significant (p-value < .05)