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This paper proposes how to select a methodology to target multidimensionally poor households, and how to update that targeting exercise periodically. We present this methodology in the context of discussions regarding the selection of a targeting methodology in India. In 1992, 1997, and 2002 the Indian government identified households that are below the poverty line (BPL) and in updating the 2002 methodology, alternative methods have been proposed and vigorously debated. A fourth BPL method was published and a corresponding Socio Economic Caste Census (SECC), implemented. Using the third National Family Health Survey (NFHS-3), this paper illustrates how a BPL targeting method using SECC variables might be calibrated to a multidimensional poverty measure. This paper compares the fit between a benchmark measure of multidimensional poverty and several plausible targeting methods to determine which method(s) approximate it--as well as related measures--most closely. We find a ten-item binary scoring method, which uses variables already available in the SECC questionnaire, provides a strong proxy. The emphasis of this paper is to illustrate how a particular targeting method can be justified, rather than to advocate any particular solution.

State is often involved in the challenging process of judicious allocation and apportioning of resources for an inclusive growth through creating infrastructure and ensuring accessibility- the "ability of the people to reach and engage in opportunities and activities". The issue at the heart of the debate concerns with the "opportunities" available in a geographic area and the inhabitants' use of those opportunities in terms of their "behaviour". The extant literature suggests that the dominant component of the accessibility is mobility infrastructure. The present paper argues that the impact of the human development and the information infrastructure should also be considered. This paper uses the Indian census data of 2001 and develops the methodology for creating an accessibility index for a geographic unit. The paper also discusses the use of the accessibility index (AI) as a tool for evaluating the efficacy of a public policy initiative towards decreasing the exclusion of geographic units. Validation of the tool is done using the patient inflow data at a large charitable hospital in Central India and household level employment data from National Rural Employment Guarantee Scheme (NREGS).

This paper discusses the grassroots level understanding of poverty and wellbeing. There is rich debate and ever expanding literature on the meaning of wellbeing and poverty and their relationship in developing countries. In recent times wellbeing and poverty have been scrutinised within the discourse on multidimensionality of poverty. Most research outputs though are grounded in quantitative data. Investigations that focus on the perceptions and understandings of poor people about their situations remain sparse in the literature. The current study is an attempt to address this gap. The paper explores the common grounds and the points of departure between the researchers' views of poverty and wellbeing and the perception at the grassroots. The paper presents findings of primary research conducted by the author in Dhar district of Madhya Pradesh and Madhubani district of Bihar in India. Semi-structured survey instruments were deployed to interview a selection of poor, marginal and non-poor households. In addition to identifying the commonalities in grassroots and researchers' understandings of poverty, the paper draws attention to factors that may be outside the radar of the researchers. It is envisaged that mapping a more holistic understanding of poverty and wellbeing will have important long-term policy implications for poverty reduction.

"Wellbeing" is a key concept in the study of children's lives over time, given its potential to link the objective, subjective, and inter-subjective dimensions of their experiences in ways that are holistic, contextualized and longitudinal. For this reason wellbeing is one of the core concepts used by Young Lives, a 15-year project (2000-2015) that follows the lives of 12,000 children growing up in the context of poverty in Ethiopia, Peru, Vietnam and Andhra Pradesh (India) (see http://www.younglives.org.uk). This paper examines a selection of methods being used by Young Lives to capture aspects of child wellbeing in the context of a range of children's life experiences related to poverty, specific risks and protective processes. It draws on a review of the literature on child-focused methods and on recent experiences piloting three core qualitative methods in the four study countries. The paper reports the development of a methodology that is child-centred, but also acknowledges that every child is embedded within a network of social and economic relationships.

Given limited resource availability in a developing nation like India, faced with high incidences of crime, it is important to optimize on the resources spent in combating crime by channelling them to proper direction. This requires an understanding of the actual and overall level of crime across India. Our paper provides a complete understanding of the various indicators of violent crime and the determinants of these crimes in India using district level data for three census years, namely, 1981, 1991 and 2001. We construct three alternative crime-burden indices. Including a variable like voter turnout in state election at the district level, we document significant impact of public awareness to reduce and combat crime. The constructed crime burden index shows that states located in northern parts of India have more incidences of crime compared to states in the south. We also find that our estimated crime-burden indices tend to report in general a higher level of crime-burden than the average based index. This suggests controlling for the factors beyond population while constructing the aggregate crime-burden index for any country is essential. Our work although is limited to the Indian data, we however, believe that this can be easily applied to various other countries.

This paper uses the recent approach of multidimensional deprivation measures to provide a comprehensive and wide ranging assessment of changes to living standards in India during the period, 1992/93-2004/5. This covers the reforms and the immediate post reforms time periods. The study is the first to be based on the simultaneous use of two parallel data sets, namely the National Sample Survey (NSS) and National Family Health Survey (NFHS) data sets, covering proximate rounds and near identical time periods. The results allow a check of consistency on the picture of deprivation in India between these two data sets. The study is conducted both at regionally disaggregated levels and by socio economic groups. The deprivation dimensions range widely from the conventional expenditure dimensions to non-expenditure dimensions such as access to drinking water and clean fuel, to health dimensions such as child stunting and the mother's BMI. The use of decomposable deprivation measures allows the identification of regions, socio economic groups and deprivation dimensions that are contributing more than others to total deprivation.

Using consumption expenditure data of the National Sample Survey 2004-2005, this paper estimates the size of elderly poor and tests the hypotheses that elderly households are not economically better-off compared to non-elderly households in India. Poverty estimates are derived under three scenarios--by applying the official cut-off point of the poverty line to household consumption expenditure (unadjusted), consumption expenditure adjusted to household size and consumption expenditure adjusted to household composition. Results show that an estimated 18 million elderly in India are living below the poverty line. On adjusting the consumption expenditure to household size and composition, there are no significant differences in the incidence of poverty among elderly and non-elderly households in India. This is in contrast to the notion that elderly households are better off than non-elderly households in India. Based on the findings, we suggest that the age dimension should be integrated into social policies for evidence based planning. (Contains 3 figures and 6 tables.)

Shrimp trawling represents an important fishing metier in South India, generating high levels of employment and economic value. It is also a contested metier, ostensibly contributing to environmental degradation and social inequality. This paper investigates the job satisfaction of crew members (captains and workers) on board the shrimp trawlers of Chennai (former Madras). Research took place in 2007 and 2008 (N = 137). Results suggest a general satisfaction with being in the fishery. However, a little over three-fifths of fishers said they would be willing to change fishing metier and about one-half said they would leave the occupation. About one-half also said they would not advise a young person to enter the occupation. The tendency to move away from the fishery is argued to reflect a growing pessimism about the future of the shrimp trawl fisheries, but also an increasing awareness of other economic opportunities. (Contains 2 figures and 16 tables.)

Maslow's hierarchy-of-needs theory has been used to predict development of Quality of Life (QOL) in countries over time. In this paper an attempt has been taken to derive a methodological validation of quality of life questionnaire which have been prepared for the study area. The objective of the study is to standardize a questionnaire tool to assess the QoL of residents in a problem area in India. From a pre tested 16 parameter questionnaire tool factorial validity were established to extract three domains and were mapped in accordance to Abraham Maslow's Hierarchy of Needs theory. Out of these 16 parameters 13 were found relevant. Then a new tool was conceptualized with 13 pre selected parameters and other parameters were pooled from existing tool and reviews to form a 36 parameter tool. Factor analysis was done to extract the domains. Reliability of the tool was also tested to find the relation between the domains of QoL. Then the quality of life of the study area was interpreted to find the distribution of respondents among the categories of QoL. 70% of respondents reported to have average quality of life. The tool was found to be highly reliable and valid.

This study aimed to explore subjective well-being (SWB) in an urban Indian sample. Adults (n = 1099) belonging to two wards in the city of Bangalore in South India, responded to a study-specific questionnaire. This paper is based on data generated as part of an ongoing larger study looking at correlates of SWB. Almost equal number of men and women responded to the study and their age ranged from 20 to 81 years (mean age 37 years). Majority of them were married, Hindus, from middle socio-economic status, had studied above pre-university level and more than half were earning. The mean scores on positive affect (40.9), negative affect (27.6) and life satisfaction (24) suggested above average levels of SWB. Higher age, being married, having higher education, higher income and working in a full time job seemed to improve life satisfaction and decrease negative affect. Religion was also significantly associated with negative affect. Step-wise regression analysis suggested that only education and income were important predictors of positive affect, while negative affect was better predicted by age, income, work status and religion. Life satisfaction was predicted by income, age and education. The important correlates of SWB for men and women were somewhat different. Overall, sociodemographic variables have minimal effect on SWB in urban India and research needs to explore other predictors of SWB.

Studies on educational attainments have tended to focus on attainments at a specific level of education. The change in disparities in attainment over the educational life cycle, however, has been neglected in literature--in India, for instance, the only exceptions are Vaid (2004) and Desai and Kulkarni (2008). This paper uses unit level National Sample Survey data (2004-2005) to examine gender disparities at different educational levels up to the high school level. Bi-variate analysis of gender disparities computed using the Sopher-Kundu index indicates that although there are substantial gender disparities at lower levels of education, this gets reversed at higher levels in several states. At the all-India level, too, in recent years, a reversal of disparity may be observed in urban areas. Econometric analysis using the variable parameter variant of the generalized ordered logit model reveals that robustness of females increase over the educational life cycle, though disparity remains, after controlling for socio-economic traits.

In this paper, we have considered the issues concerning dynamic changes in HDI and its various components from a relative standpoint. The analysis of HDI mobility should entail directional movement introduced by Fields (in Distribution and development: a new look at the developing world. MIT Press, Cambridge, 2001). However, Fields' analysis was in the space of absolute values. Here, we will try to extend this exercise to the positional mobility index by considering the question of improvement and deterioration in relative positions. This requires the concept of "partial mobility" where mobility is judged from the viewpoint of a particular group. We then try to introduce directional changes in partial mobility through axiomatic framework. Finally, we provide an illustrative example from the Indian data.

The paper reports on a field experiment conducted among poor women organized in self-help groups in the north-east of India. The experiment tests in a simple game whether overly optimistic expectations with respect to the benefits of exercising agency reduces one's appreciation of remaining with agency in the future. If so, unrealistic expectations may trigger behaviour that jeopardizes empowerment processes. It is hypothesized that negative emotions, such as disappointment, bring about such risks. We find that overstretched expectations may indeed work against empowerment if the gap between achieved and expected outcomes following increased agency is sufficiently wide. However, modest expectation gaps have the opposite effect and tend to promote attitudes conducive to empowerment. A tentative explanation for this result is offered by combining insights from recent work on the role of aspirations.

The authors review the contribution of qualitative methods to exploring concepts and experiences of wellbeing among children and adults living in developing countries. They provide examples illustrating the potential of these methods for gaining a holistic and contextual understanding of people's perceptions and experiences. Some of these come from Young Lives, an innovative long-term international research project investigating the changing nature of child poverty in India, Ethiopia, Peru and Vietnam (http://www.younglives.org.uk), and others from the Wellbeing in Developing Countries ESRC research group (WeD), an international, inter-disciplinary project exploring the social and cultural construction of wellbeing in Bangladesh, Ethiopia, Peru and Thailand (http://www.welldev.org.uk). The authors show how qualitative methods can be used both alongside and as part of the development of sensitive and relevant quantitative measures, and provide some practical and methodological recommendations. They propose that qualitative approaches are essential in understanding people's experiences of wellbeing, both now and in the future. However, the authors caution that while these offer many benefits, for example, a less structured and hierarchical engagement between researcher and participant; they require time, energy, and sensitivity. Qualitative methods also work best when used by trained and experienced researchers working in the local language/s in a community where some rapport has already been established. Finally, the paper recommends combining data from qualitative and quantitative approaches (e.g. psychological measures or household surveys) to enhance its explanatory power.

This paper analyses and compares the measurement of indicators and variables in the construction of education index in Human Development Index (HDI) at the global, national and 18 sub-national human development reports in India since 1990. The results show non-comparability of measurement of the education indicators and variables. This implies that vertical and horizontal comparability of HDI may not be plausible for India. Implications of these analyses are highlighted for measurement of quality of life indices with special reference to physical quality of life index. Policy lessons are derived for future measurement of education index for India in particular, and other developing countries in general.

This paper studies quality of life (QOL) in urban environment. The term environment has been used in broader sense, which includes physical, social and economic environment. A framework has been proposed which posits that QOL comprises objective condition of living and satisfaction from such living condition constitutes QOL. Such objective condition refers to objective QOL and satisfaction refers to subjective QOL. Dimension of QOL has been found to be multi dimensional. It has been found that both objective and subjective condition is important dimension of QOL. But correlation between objective and subjective QOL has been found not to be high. At the same time it has been found that satisfaction from condition of traffic is the lowest among all satisfaction variables.

The economic reforms initiated in India in 1991 have brought about visible upliftment of economic conditions of the country. This paper examines if the economic process is associated with an enhancement of India's social development in equal measure in the reform decade of nineties. Ray (1989) considered thirteen social indicators of India and constructed the country's social development index (SDI) as a certain weighted average of the selected indicators, for the years between 1950-51 and 1975-76. The present work broadly follows Ray (1989) in tracking the social development in the decade of economic reforms from 1990-91 to 1999-2000. The movement of SDI in nineties has been compared with the movements of India's per capita income and plan expenditure on the social sector. The results show that though there has been growth in the social sector, it is not by far quite encouraging and perhaps more needs to be done in the social sector.

This paper uses household level data from National Sample Survey Organization (NSSO) of India, the 55th round (1999-2000), to show that for urban male children there exists significant wage incentive for schooling, though school dropout rate and child labour incidence are not so small. The parents' level of education plays an important role in reducing this tendency; thus establishing the linkage between social and human capital outcomes in the family. We also look at the incidence of harmful and manual occupations among the child labour. Mother's education now appears as a very important factor in curbing these incidences; supporting earlier findings that women's empowerment (one important indicator of which would be female educational level) is indeed instrumental in increasing parental awareness.

In this paper, a model is set forth relating (a) overall life satisfaction of children to children's values and (b) children's values to parents' values. Using confirmatory factor analysis models three dimensions of values (materialistic values, capacities and knowledge values and interpersonal relationship values) consistently emerged in 5 countries (Brazil, South Africa, Norway, Spain and India) for both parents and children. There was a considerable amount of missing data, mainly because the parent's questionnaire was often not returned. Full information maximum likelihood estimators with missing data were thus used. Multiple-group analyses were next performed to assess factor invariance of the three value dimensions across the live countries for both parents and children. This implies testing the equality of factor loadings and intercepts across groups. This equality is required to ensure that factors have the same interpretation in all groups, which is necessary when comparing any aspect of the factor distribution across groups. The only two countries for which the interpretation of value dimensions was invariant for both parents and children were Brazil and Spain. The results of other countries could thus not be compared. Multiple-group structural equation models revealed that both parents and children scored higher on most values in Brazil than in Spain. In both countries, each child value dimension was only significantly predicted by the same value dimension of the parents. R-squares were in the 4-12% range and slightly higher in Brazil. The only value dimension that had some effect on overall life satisfaction was capacities and knowledge, which was so in both countries.

In this paper we follow a lead provided by Basu and Basu ["The Greying of Populations: Concepts and Measurement," Demography India 16, pp. 79-89], in order to advance a class of "agedness" indices which, because they have been motivated by analogous considerations in the poverty measurement literature, can find application in that area of enquiry as well. The properties of the proposed indices are discussed, and illustrations of empirical application are provided. The note is intended as a contribution to the larger enquiry into the measurement of development indicators.