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Table 9 DKSE, FE, Two-step GMM, and Granger causality results

From: The impact of food insecurity on health outcomes: empirical evidence from sub-Saharan African countries

 

Coef

Std. Err

t

P > t

[95% Conf. Interval]

Other statistics

Model 1A using DKSE when the dependent variable is LNLEXP

 PRUND

-0.00348***

0.0008573

-4.06

0.001

-0.005289

-0.0016715

F(5,17) = 435.58

Prob > F = 0.0000 within R2 = 0.6434

 GDPPC

-4.28e-06

2.95e-06

-1.45

0.165

-0.0000105

1.95e-06

 GOVEXP

0.00474

0.0049357

0.96

0.350

-0.0056726

0.0151541

 MNSCHOOL

0.0936***

0.004993

18.76

0.000

0.0831156

0.1041842

 URBAN

-0.00011

0.0001784

-0.65

0.526

-0.0004919

0.0002609

 _CONS

3.7019***

0.0371405

99.67

0.000

3.623589

3.780308

Model 1B using DKSE when the dependent variable is LNLEXP

 AVRDES

0.00317***

0.000845

3.76

0.002

0.0013936

0.0049593

F(5,17) = 410.16

Prob > F = 0.0000 within R2 = 0.6295

 GDPPC

-3.81e-06

2.78e-06

-1.37

0.188

-0.0000097

0.0000021

 GOVEXP

0.00188

0.00573

0.33

0.746

-0.0102006

0.0139790

 MNSCHOOL

0.0926***

0.005319

17.42

0.000

0.0814219

0.1038642

 URBAN

-0.00011

0.000166

-0.67

0.512

-0.0004620

0.0002392

 _CONS

3.2941***

0.074949

43.95

0.000

3.1360170

3.4522750

Model 1C using the FE model when the dependent variable is LNINFMOR

 PRUND

0.0119***

0.0009722

12.29

0.000

0.010040

0.013860

sigma_u = 0.45608378

sigma_e = 0.10751418

F test that all u_i = 0: F(30, 522) = 164.49 Prob > F = 0.0000

within R2 = 0.6823

 GDPPC

0.000057***

0.0000087

6.53

0.000

0.000040

0.000074

 GOVEXP

-0.0103

0.0088257

-1.17

0.241

-0.027691

0.006986

 MNSCHOOL

-0.2812***

0.0110858

-25.37

0.000

-0.303052

-0.259495

 URBAN

0.00061

0.0006116

1.00

0.316

-0.000588

0.001815

 _CONS

4.9049***

0.0575012

85.30

0.000

4.791987

5.017912

Model 1D using GMM when the dependent variable is LNINFMOR

 L_LNINFMOR

32.1844***

10.5261

3.06

0.002

11.55363

52.81518

No of instruments = 21, No of groups = 31

AR(1): z = -0.98 Pr > z = 0.326

AR(2): z = -1.02 Pr > z = 0.308

Sargan test of over-identification: Chi2(15) = 4.15 Prob > chi2 = 0.997

Hansen test of over-identification: Chi2(15) = 12.22 Prob > chi2 = 0.662

 AVRDES

-0.0139***

0.0052795

-2.63

0.008

-0.024255

-0.00356

 GDPPC

0.000065

0.000082

0.8

0.424

-0.0000952

0.000226

 GOVEXP

-0.0891**

0.0372889

-2.39

0.017

-0.1622396

-0.01607

 MNSCHOOL

-0.1152

0.1239816

-0.93

0.352

-0.3582814

0.127717

 URBAN

0.0010

0.0013938

0.75

0.454

-0.0016875

0.003776

Dumitrescu and Hurlin [124] Granger causality test

 Null hypothesis

W-bar

Z-bar

Z-bar tilde

p-value

Decision

 PRUND does not Granger-cause LNLEXP

17.5322

65.0874

48.4371

0.0000

PRUND does Granger-cause LNLEXP

 AVRDES does not Granger-cause LNLEXP

13.2728

48.3179

35.8304

0.0000

AVRDES does Granger-cause LNLEXP

 PRUND does not Granger-cause LNINFMOR

5.0078

15.7787

11.3686

0.0000

PRUND does Granger-cause LNINFMOR

 AVRDES does not Granger-cause LNINFMOR

5.2776

16.8409

12.1671

0.0000

AVRDES does Granger-cause LNINFMOR

  1. Source: Computed by the author using STATA 15
  2. AVRDES Average Dietary Energy Supply, DKSE Driscoll-Kraay Standard Errors, FE Fixed Effect, GDPPC Gross Domestic Product (GDP) per capita, GMM Generalised Method of Momentum, GOVEXP Domestic General Government Health Expenditure, L_LNINFMOR Lag of Natural Logarithm of Infant Mortality Rate, LNINFMOR Natural Logarithm of Infant Mortality Rate, LNLEXP Natural Logarithm of Life Expectancy at Birth, MNSCHOOL Mean Years of Schooling, PRUDN Prevalence of Undernourishment, URBAN Urbanisation
  3. *** p < 0.01
  4. ** p < 0.05