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Table 7 Determinants of maize traders’ business resilience in Malawi

From: Performance, behaviour and organization of maize trading in Malawi

 

Posterior with informative prior

Posterior with reference prior

OLS with bootstrapping

Mean

SD

p(B ≠ 0)

Mean

SD

p(B ≠ 0)

Coef.

Std. err.

Bias

Registered business

.011

.043

.188

.009

.038

.126

.128

.099

− .008

Has export licence

.092

.102

.598

.068

.100

.408

.162

.124

.002

Runs other businesses

− .135

.063

.954

− .106

.080

.749

− .215***

.069

.001

Engages in value addition

.238

.088

.993

.249

.099

.966

.174

.114

− .007

Trader is male

− .308

.102

.997

− .310

.115

.978

− .349**

.165

− .009

Log no. of family members in business

− .001

.014

.086

.000

.011

.060

− .040

.052

.002

Log asset replacement record

− .529

.256

.948

− .457

.318

.790

− .681***

.238

− .057

Log time spent searching for market info

− .107

.032

.998

− .113

.033

.996

− .094**

.042

− .004

Log of geographical coverage (km) radius

.114

.031

1.000

.119

.032

.998

.125***

.035

.005

Log no. of district but distant traders

.004

.017

.145

.003

.016

.101

− .009

.039

.004

Log experience with broker (years)

.558

.060

1.000

.587

.063

1.000

.594***

.084

.002

Log no. of friends running business

.143

.035

1.000

.148

.036

1.000

.185***

.045

.895

Log no. of traders from the same region

.120

.037

.998

.128

.039

.994

.109***

.041

− .001

Christian Catholic

− .067

.080

.559

− .044

.073

.362

− .113

.131

.009

Christian Protestant

− .001

.034

.152

.001

.024

.089

− .011

.110

.003

Moslem

.029

.067

.284

.014

.048

.147

.205

.153

.007

Chichewa

− .004

.036

.102

− .003

.030

.067

− .011

.164

.002

Chiyao

.003

.049

.102

.003

.041

.069

− .173

.244

.010

Chilomwe

.004

.046

.097

.002

.038

.064

   

Market FE

YES

  

YES

  

YES

  

District FE

YES

  

YES

  

YES

  

Seasonal FE

YES

  

YES

  

YES

  

No. of traders

172

  

172

  

172

  
  1. Dependent variable is log of age of the business
  2. SD = standard deviation
  3. Baseline for religion is no religion while Chisena is for trader tribe
  4. *Significantly different from zero at 90% confidence
  5. **Significantly different from zero at 95% confidence
  6. ***Significantly different from zero at 99% confidence