• No results found

Table A1 – Median and mean daily and monthly wage

Category Daily wage (NR) Monthly wage (NR)

Mean 373.6 8443.7

Median 350.0 8000.0

Table A2 –Monthly wage in sample

Monthly wage (NR)

Unskilled worker

Skilled worker Office Migrant

Under 8000 25 (100.0) 0 (0.0) 0 (0.0) 0 (0.0)

8000-11999 0 (0.0) 13 (86.7) 6 (40.0) 1 (12.5)

12000-15999 0 (0.0) 1 (6.7) 6 (40.0) 1 (12.5)

16000-19999 0 (0.0) 1 (6.7) 3 (20.0) 0 (0.0)

20000-23999 0 (0.0) 0 (0.0) 0 (0.0) 3 (37.5)

24000-28000 0 (0.0) 0 (0.0) 0 (0.0) 3 (37.5)

Total 25 (100.0) 15 (100.0) 15 (100.0) 8 (100.0)

85

12 I suspect that individuals over 400 NR daily wage in the ‘No description’ category have vocational skills, as the vocational skills of construction workers were not recorded at the start of the fieldwork.

Table A3 –Vocational skills and daily wage among construction workers

Daily wage (NR)

No description12 Marble worker Mason Carpenter Total

200-299 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.00)

300-399 23 (74.2) 2 (28.6) 0 (0.0) 0 (0.0) 25 (37.9)

400-499 4 (12.9) 5 (71.4) 7 (36.8) 2 (22.2) 18 (27.3)

500 or more 4 (12.9) (0.0) 12 (63.2) 7 (77.8) 23 (34.8)

Total 31 (100.0) 7 (100.0) 19 (100.0) 9 (100.0) 66 (100.0)

Table A4 – Daily wage in sample

Daily wage (NR) Agricultural labour Rickshaw Unskilled wage Skilled wage Total

200-299 7 (22.6) 0 (0.0) 5 (12.2) 0 (0.0) 12 (8.8)

300-399 24 (77.4) 15 (88.2) 36 (87.8) 0 (0.0) 75 (54.8)

400-499 0 (0.0) 2 (11.8) 0 (0.0) 23 (47.9) 25 (18.2)

500 or more 0 (0.0) 0 (0.0) 0 (0.0) 25 (52.1) 25 (18.2)

Total 31 (100.0) 17 (100.0) 41 (100.0) 48 (100.0) 137 (100.0)

86

13 Farming cooperative.

Table A5 – Work among Dalits and non-Dalits in the ‘Skilled work’ category

Occupation Skilled worker

Dalit

Skilled worker Non-Dalit

Factory 5 (13.5) 8 (28.6)

Construction 28 (75.7) 14 (50.0)

Wage labour other 1 (2.7) 1 (3.6)

Employee, restaurant/hotel

0 (0.0) 0 (0.0)

Employee, shop 0 (0.0) 0 (0.0)

Employee, private office 0 (0.0) 3 (10.7)

Employee, private other 2 (5.4) 2 (7.1)

Employee, government 0 (0.0) 0 (0.0)

Other 1 (2.7)13 0 (0.0)

Total 37 (100.0) 28 (100.0)

87 Table A6 – Work descriptions among individuals in ‘Skilled work’, ‘Migrant’ and ‘Office’

Occupation Skilled worker Migrant Office

Factory 13 (20.0) 3 (37.5) 0 (0.0)

Construction 42 (64.6) 1 (12.5) 0 (0.0)

Wage labour other 2 (3.1) 0 (0.0) 0 (0.0)

Employee, restaurant/hotel

0 (0.0) 1 (12.5) 0 (0.0)

Employee, shop 0 (0.0) 1 (12.5) 0 (0.0)

Employee, private office 3 (4.6) 0 (0.0) 0 (0.0)

Employee, private other 4 (6.2) 2 (25.0) 4 (25.0)

Employee, government 0 (0.00) 0 (0.00) 10 (62.50)

Other 1 (1.5) 0 (0.0) 2 (12.50)

Total 65 (100.0) 8 (100.0) 16 (100.0)

88 10.2 Regression

Table B1 –Results from OLS estimation and interaction effect with present illiteracy as dependent variable

Standard errors in parentheses Standard errors clustered on family

*** p<0.01, ** p<0.05, * p<0.1 Table A7 – Household heads and brothers

Categories Household heads Brothers Total

Total 100 (48.1) 108 (51.9) 208 (100.00)

(1) (2)

Dependent variable Illiteracy Illiteracy Illiterate father 0.228** 0.212**

(0.0885) (0.0906)

Landless grandfather 0.0760

(0.0900)

Big family 0.0517

(0.0693)

Dalit -0.0667 -0.0962

(0.0641) (0.0756) Dalit*Illiterate father 0.631*** 0.606***

(0.103) (0.120)

Constant 0.0667 0.0667

(0.0641) (0.0644)

Observations 214 214

R-squared 0.411 0.415

89

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