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Table 1 Socio-demographic and socio-economic control variables as determinants of personal well-being, descriptive statistics from the estimation sample

From: Multinational companies: can they foster well-being in the eyes of the poor? Results from an empirical case study

 

Mean / Share

SD

N

Model vs. control village and participation in MVP activities

1 = person from control village

0.522

0.500

1812

2 = non-participant, Kadivala

0.018

0.132

1812

3 = non-participant, Mangalagudda

0.145

0.352

1812

4 = participant in at least one MVP activity, Kadivala

0.141

0.348

1812

5 = participant in at least one MVP activity, Mangalagudda

0.174

0.384

1812

Socio-demographic variables

 Gender

0 = male

   

1 = female

0.536

0.497

1812

 Age

0 = 15- < 25 years

0.144

0.351

1812

1 = 25 - < 40 years

0.343

0.475

1812

2 = 40- < 55 years

0.287

0.452

1812

3 = 55+ years

0.226

0.419

1812

 Marital status

0 = never married,

0.094

0.292

1812

1 = currently married,

0.810

0.393

1812

2 = widowed, divorced, separated

0.097

0.295

1812

 Caste

0 = Upper caste

0,077

0.266

1812

1 = Other backward caste

0.650

0.477

1812

2 = Scheduled tribes

0.077

0.266

1812

3 = Scheduled castes

0.149

0.356

1812

4 = Other or Muslim / Christian

0.048

0.213

1812

Socio-economic variables

 Low personal spendings

0 = able to spend 420 INR per month individually

   

1 = not able to spend 420 INR per month individually

0.450

0.498

1812

 Land and livestock ownership of the household

0 = owns land and livestock

0.580

0.494

1812

1 = owns land or livestock

0.260

0.439

1812

2 = owns neither land nor livestock

0.160

0.367

1812

 Debt problems sometimes or often

0 = No

   

1 = Yes

0.603

0.489

1812

 No work

0 = does work

   

1 = does not work

0.095

0.294

1812

 Illiteracy

0 = can read and write

   

1 = cannot read and write

0.632

0.482

1812

 Illness

0 = does have no illness often

   

1 = has at least one illness often

0.211

0.408

1812

  1. Source: Model Village Panel Survey, waves 2011 and 2014, own definitions and calculations