Mapping Indian Districts Across Census Years, 1971-2001

Kumar, Hemanshu; Somanathan, Rohini

doi:10.2139/ssrn.2638584

Cited by 38 publications

(26 citation statements)

References 3 publications

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“…Hence, we have completely excluded Hyderabad from our analysis. 7 For more details about changes in district boundaries over time, see Kumar and Somanathan (2009). There are two main features of data used in this research. First, we use high-resolution daily gridded temperature and climate data for India, which have not been exploited much in climate change and agriculture research.…”

Section: Data Set and Sourcesmentioning

confidence: 99%

Climatic impacts across agricultural crop yield distributions: An application of quantile regression on rice crops in Andhra Pradesh, India

Barnwal

Kotani

2013

Ecological Economics

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Section: Data Set and Sourcesmentioning

confidence: 99%

Climatic impacts across agricultural crop yield distributions: An application of quantile regression on rice crops in Andhra Pradesh, India

Barnwal

Kotani

2013

Ecological Economics

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“…Of the 624 districts in 2008, 171 (27%) had unchanged boundaries, 165 (24%) were cleanly partitioned, and 288 (46%) were adjacent districts that underwent complex boundary changes. Following procedures for weighting from Kumar and Somanathan (2009), we created a DISE dataset of matched districts or district composites that were unchanged since 1981. These procedures yielded a dataset of 328 districts and district composites (hereafter called district composites), accounting for all 624 districts of India in 2008.…”

Section: Methodsmentioning

confidence: 99%

Women’s Political Empowerment and Investments in Primary Schooling in India

et al. 2015

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Using a national district-level dataset of India composed of information on investments in primary schooling (data from the District Information Survey for Education [DISE, 2007/8]) and information on demographic characteristics of elected officials (data from the Election Commission of India [ECI, 2000/04]), we examined the relationship between women’s representation in State Legislative Assembly (SLA) seats and district-level investments in primary schooling. We used OLS regressions adjusting for confounders and spatial autocorrelation, and estimated separate models for North and South India. Women’s representation in general SLA seats typically was negatively associated with investments in primary-school amenities and teachers; women’s representation in SLA seats reserved for under-represented minorities, i.e., scheduled castes and scheduled tribes, typically was positively associated with investments in primary schooling, especially in areas addressing the basic needs of poor children. Women legislators’ gender and caste identities may shape their decisions about redistributive educational policies.

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“…For those common cases whereby an old district was split into multiple ones, we simply need to consolidate the new ones. For a few more complex cases whereby a new district was formed by parts carved out from multiple old districts, we partition the new districts using population weights developed in Kumar and Somanathan (2009), and merge the parts to their original districts.…”

Section: Datamentioning

confidence: 99%