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Table 4 Regression results, associations between coping strategy and variables of socioeconomic background

From: Coping with the economic burden of Diabetes, TB and co-prevalence: evidence from Bishkek, Kyrgyzstan

 

Income & savings

Social Welfare & Donations

Social Networks

Borrowing money

Selling assets

 

Coeff. (S.E.)

Coeff. (S.E.)

Coeff. (S.E.)

Coeff. (S.E.)

Coeff. (S.E.)

(Intercept)

16.69

-1.16

15.22

-15.13

-16.48

(994.52)

(1.51)

(992.70)

(1018.94)

(1006.01)

Age: for each year

-0.03 **

-0.00

0.01

-0.00

0.03 *

(0.01)

(0.01)

(0.01)

(0.02)

(0.02)

Gender: female vs male

-0.47

0.10

0.43

-0.01

0.31

(0.31)

(0.31)

(0.27)

(0.45)

(0.44)

Education: compl. primary vs no schooling

-14.85

1.85

-12.97

16.47

14.58

(994.52)

(1.73)

(992.71)

(1018.94)

(1006.01)

Education: compl. secondary vs no schooling

-15.30

0.30

-14.58

13.85

13.60

(994.52)

(1.45)

(992.70)

(1018.94)

(1006.01)

Education: compl. tertiary vs no schooling

-15.31

-0.27

-15.04

14.11

12.39

(994.52)

(1.45)

(992.70)

(1018.94)

(1006.01)

Employment: informal vs unemployed

1.20 ***

-1.05 **

-1.01 ***

-1.92 ***

-0.23

(0.41)

(0.43)

(0.38)

(0.70)

(0.70)

Employment: formal vs unemployed

1.01 **

-0.66

-1.30 ***

-0.73

0.70

(0.46)

(0.45)

(0.43)

(0.60)

(0.62)

Employment: retired vs unemployed

0.50

1.37 ***

-1.08 **

-0.52

-0.33

(0.46)

(0.48)

(0.46)

(0.65)

(0.71)

Equivalence income: second tertile vs first tertile

0.16

0.40

-0.16

-0.66

0.60

(0.34)

(0.37)

(0.32)

(0.57)

(0.47)

Equivalence income: third tertile vs first tertile

0.41

0.93 *

0.25

-0.05

-0.23

(0.36)

(0.37)

(0.33)

(0.50)

(0.55)

AIC

323.48

312.77

364.85

184.11

200.28

BIC

362.85

352.23

404.36

223.57

239.74

Log Likelihood

-150.74

-145.39

-171.43

-81.06

-89.14

Deviance

301.48

290.77

342.85

162.11

178.28

Num. obs.

265

267

268

267

267

  1. ***p < 0.01, **p < 0.05, *p <0.1