Ankush Agrawal

The timeliness dimension of data quality has not received sufficient scholarly attention even though the publication of official statistics of various countries are often delayed. This paper examines the growing delays in the release of census data in India amidst the technocratisation of policy-making, public professions of faith in evidence based policy-making and growing fascination with big data. We show that the growing delay in the release of census data of India is a fact, rather than a mere allegation, and contextualise the problem by comparing seven decennial censuses conducted between 1951 and 2011. We suggest that delays can be measured vis-à-vis usual , desirable , declared and feasible schedules of publication. Further, delays can be understood from the perspectives of the unwillingness of the government statistical system to face public scrutiny, decline in the quality of public goods, political interference and, in case of data on identity, communalisation of politics.

The economics literature on returns to education has focused largely on wage workers, thereby ignoring a sizable section of the workforce which is self-employed. This paper presents the estimates of private returns to education for business, farm and wage workers in India using a nationally representative household survey. The paper addresses the sample-selectivity issue arising due to endogenous sector allocation in the earnings equation using the multinomial-selection approach. Our results show that the average rate of return to education is higher for wage workers followed by business and farm workers. Focusing only on wage workers would provide an overestimate of returns by 30 per cent for business workers and by 40–50 per cent for farm workers. Further, the profile of returns across the education ladder varies perceptibly for the three type of workers with higher education being more rewarding for wage workers.

Skill development has been a major policy agenda in several countries and there is a lot of emphasis on the promotion of vocational education and training (VET) programmes. This paper investigates the labour market outcomes of the vocationally trained population in India using the data from a nationally representative survey on employment and unemployment. We find that a large section of the population in the age group 15–59 years does not have any kind of formal training. Among the VET holders, a large share is accounted for by non-formal trainees. Quite a high proportion of formal trainees in the workforce remain unemployed reflecting underutilisation of human resource. We also examine the extent to which individuals’ training matches their occupational levels and find that overall about two-thirds of the trainees are employed in occupations related to the field of training. Further, we compare the returns to general secondary and vocational education streams using the standard earnings function accounting for the sample selection bias. Our findings show that the relative returns to vocational education is higher than that to general secondary education.

Few studies of agrarian transition examine what farmers themselves feel about farming. Are they cultivating out of choice or a lack of options? What distinguishes farmers who like farming from those who do not: their personal/household characteristics and endowments? The local ecology and regional economy? Or a mix of these and other factors? Understanding farmer satisfaction is important not only for assessing citizen wellbeing but also for agricultural productivity, since occupational satisfaction can affect a farmer’s incentive to invest and reveal production constraints. Using a unique all-India data-set which asked farmers, ‘Do you like farming?’ this paper provides answers and policy pointers, contributing a little-studied dimension to debates on the smallholder’s future and subjective wellbeing.

The UNDP Human Development Report (HDR) for 2010 introduced a new index, the Inequality-adjusted Human Development Index (IHDI), to capture the distributional dimensions of human development. The indicators used for the three dimensions of the HDI, namely, income, education and health, are adjusted for inequalities in attainments across persons. In the light of growing concern with inequalities in India and the focus of the Government of India on inclusive growth, this article adopts the methodology proposed in the HDR 2010 to compute the HDI and the IHDI for states in India. This is done largely using the available information from different National Sample Survey (NSS) rounds on appropriate variables. To facilitate cross-country comparison, the indices are normalized with reference to the goalposts mentioned in the HDR 2010. The findings of this study provide useful policy insights for a strategy to promote human development by addressing inequalities across dimensions in different states in the country. The potential lost due to inequalities is the highest in education among the three dimensions. Similarly, the inequalities are staggering in the case of health. Given the spectacular growth that the country has witnessed in the last decade, the policies promoting economic growth needs to be integrated with the distributional dimensions of education and health.