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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)