TABLE 3-10Demographic and Regional Variation in Binary Indicator for Any Employment in Past Year

All Work, Rural and Urban RespondentsAll Work, Rural RespondentsAll Work, Urban RespondentsAgricultural Work, Rural RespondentsNonagricultural Work, Urban, and Rural Respondents
Aged 55–64−0.417***
(−4.23)		−0.374**
(−3.42)		−0.522*
(−2.33)		−0.200
(−1.94)		−0.357**
(−3.29)
Aged 65–74−0.689***
(−5.69)		−0.612***
(−4.33)		−0.966**
(−4.31)		−0.317*
(−2.39)		−0.542**
(−3.37)
Aged 75+−1.227***
(−6.47)		−1.103***
(−5.31)		−1.889***
(−4.42)		−0.737***
(−3.62)		−0.926***
(−4.26)
Female−1.349***
(−14.27)		−1.282***
(−14.26)		−1.597***
(−5.66)		−0.858***
(−9.89)		−1.016***
(−7.91)
Education (yrs)−0.007
(−0.57)		0.002
(0.14)		−0.022
(−1.03)		−0.022
(−1.98)		0.029*
(2.45)
Rajasthan0.427**
(2.80)		0.389*
(2.16)		0.604**
(3.34)		0.531**
(2.88)		−0.070
(−0.47)
Kerala−0.086
(−0.53)		−0.286
(−1.59)		0.341
(1.54)		−0.432*
(−2.10)		0.056
(0.44)
Karnataka0.300
(1.89)		0.355
(1.88)		0.270
(1.52)		0.528**
(2.97)		−0.047
(−0.36)
Rural0.312**
(2.97)		−0.488***
(−5.41)
Scheduled caste0.211
(1.53)		0.108
(0.69)		0.473
(1.88)		−0.256
(−1.69)		0.483*
(3.44)
Scheduled tribe0.093
(0.51)		0.071
(0.38)		−0.041
(−0.09)		0.040
(0.26)		−0.199
(−0.71)
Other backward caste0.093
(0.98)		0.038
(0.33)		0.243
(2.13)		−0.101
(−0.94)		0.175
(1.67)
ADL disability count−0.150**
(−3.02)		−0.112*
(−2.06)		−0.263*
(−2.67)		−0.107*
(−2.12)		−0.089
(−1.39)
Constant0.478*
(2.62)		0.772**
(3.33)		0.582
(2.15)		0.108
(0.54)		−0.124
(−0.85)
N1,4281,0234051,0231,428
F-stat20.74***19.84***14.0119.56***11.07***
Estimatorprobitprobitprobitprobitprobit

NOTES: Labor force participation is a dummy variable for having worked in the past 12 months. It includes self-employment, employment by another, or agricultural work both paid and unpaid as reported in the household income module by a household financial respondent or self-reported in the individual interview. The sample is restricted to respondents who self-reported an age of at least 45 years old; LASI used a stratified sampling design, which sampled respondents independently by state, rural-urban area, and district. All multivariate models are unweighted, and the standard errors have been corrected for design effects of stratification. 44.6% of respondents were classified as working. ADL disability count is the number of activities of daily life the respondent has some difficulty with or cannot do. Table presents coefficients with t statistics in parentheses:,

* denotes p < 0.05; ** p < 0.01; *** p < 0.001.

SOURCE: Data from Longitudinal Aging Study in India (LASI) Pilot Wave.

From: 3, Longitudinal Aging Study in India: Vision, Design, Implementation, and Preliminary Findings

Cover of Aging in Asia
Aging in Asia: Findings From New and Emerging Data Initiatives.
National Research Council (US) Panel on Policy Research and Data Needs to Meet the Challenge of Aging in Asia; Smith JP, Majmundar M, editors.
Washington (DC): National Academies Press (US); 2012.
Copyright © 2012, National Academy of Sciences.

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