Institution
Indira Gandhi Institute of Development Research
Facility•Mumbai, Maharashtra, India•
About: Indira Gandhi Institute of Development Research is a facility organization based out in Mumbai, Maharashtra, India. It is known for research contribution in the topics: Monetary policy & Inflation. The organization has 307 authors who have published 1021 publications receiving 18848 citations.
Topics: Monetary policy, Inflation, Interest rate, Poverty, Emerging markets
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors address the imperative of tackling the silent humanitarian emergency of under-nutrition in India and make a case for state support in the area of food security and against the background of current debates offers a critical perspective of appropriate food management and delivery strategies.
Abstract: This paper addresses the imperative of tackling the silent humanitarian emergency of under-nutrition in India. It makes a case for state support in the area of food security and against the background of current debates offers a critical perspective of appropriate food management and delivery strategies.
18 citations
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TL;DR: In this paper, the role of behavioral biases in stock market performance of investors has been investigated using a large and special database that includes the entire universe of orders and trades of Indian investors over eighteen months.
Abstract: Using a very large and special database that includes the entire universe of orders and trades of Indian investors over eighteen months, the present study makes several new contributions to the existing literature on the role of behavioral biases in stock market performance of investors. We consider the relative e ffects of disposition e ffect and investor overconfidence in a unifi ed framework. The framework also includes other investor-specifi c factors that have been identifi ed in the existing literature as important in explaining investor performance. We also investigate whether the magnitude of the two behavioral biases di ffers among separate categories of investors, including individual investors, non-financial corporations and financial institutions and, importantly, if and how the eff ects of the biases on trading performance vary across di fferent investor categories. Finally, we examine the joint e ffects of investor category and the magnitude of behavioral biases on an investor's performance. We find that individual investors suff er from higher disposition coffeficient as well as higher sensitivity of disposition bias to performance than the other investor categories. The results identify disposition bias as a direct channel of wealth transfer between investor categories.
18 citations
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TL;DR: The study examines the correlation between inequality in landownership, caste status, measures of local social capital, and whether or not a household will have to collect water in India to argue that time use data provides a natural metric for measuring “social capital” building activities.
Abstract: This study uses micro‐data from the 1998–99 Indian Time Use Survey (ITUS; covering 77,593 persons in 18,591 households in Gujarat, Tamil Nadu, Madhya Pradesh, Meghalaya, Orissa, and Haryana) to argue that time use data provides a natural metric for measuring “social capital” building activities and for distinguishing between the relative importance of “bonding” into groups or “bridging” within communities. The study examines the correlation between inequality in landownership, caste status, measures of local social capital, and whether or not a household will have to collect water. In India, the probability that a rural household fetches water is 4.8% and 9.1% lower in communities in which the average time spent on social interaction and community‐based activities at the district‐level doubles, but it is 18.9% greater when the time in group‐based activities doubles. Inequalities in landownership and home ownership are associated with considerably larger differences in local tap water availability.
18 citations
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TL;DR: In this article, the SImulation of MAcroeconomic scenarios (SIMA) model generates macroeconomically consistent energy scenarios from two interlinked submodels i.e. economic and energy submodels.
Abstract: The energy sector in India claims 30% of the available investments. Moreover, oil import bills have the largest share among the total import bills. Thus, macro economic development and energy sector are highly interdependent. Where energy demand is forecasted without these linkages one cannot be sure if investments and imports required for energy sector will be available. The SImulation of MAcroeconomic scenarios (SIMA) model generates macroeconomically consistent energy scenarios from two interlinked submodels i.e. economic and energy submodels. The energy sector is a part of the non-agricultural sector but it is linked to both the agricultural and the non-agricultural sectors. These three sectors compete with each other for the available capital. In a two-step procedure, various energy economy relations are econometrically estimated and then these are solved simultaneously by feeding in the exogenous parameters (population, oil prices, etc.). The scenarios created correspond to 1991–2010. They are the Dynamics As Usual and the High Oil Price scenarios with capital required for phasing in the electricity sector. Energy-related emission levels for pollutants such as CO2, NOx and SO2 emissions are also calculated for each scenario.
18 citations
10 Aug 2014
TL;DR: In this paper an attempt has been made to assess the current status of open access journals in LIS covered in Directory of Open Access Journals (DOAJ) based on various parameters.
Abstract: Open access spurred by the Internet has brought in new vistas for dissemination of scholarly content in almost all the disciplines. It has enabled agencies, publishers and individuals to distribute scholarly content online, free from licensing restrictions and cost. Like other fields, the growth of open access has also benefited the field of library and information science (LIS). In this paper an attempt has been made to assess the current status of open access journals in LIS covered in Directory of Open Access Journals (DOAJ) based on various parameters.
18 citations
Authors
Showing all 320 results
Name | H-index | Papers | Citations |
---|---|---|---|
Seema Sharma | 129 | 1565 | 85446 |
S.G. Deshmukh | 56 | 183 | 11566 |
Rangan Banerjee | 48 | 289 | 8882 |
Kankar Bhattacharya | 46 | 217 | 8205 |
Ramakrishnan Ramanathan | 43 | 130 | 6938 |
Satya R. Chakravarty | 34 | 144 | 5322 |
Kunal Sen | 33 | 251 | 3820 |
Raghbendra Jha | 31 | 335 | 3396 |
Jyoti K. Parikh | 31 | 110 | 3518 |
Sajal Ghosh | 30 | 72 | 7161 |
Tirthankar Roy | 25 | 180 | 2618 |
B. Sudhakara Reddy | 24 | 75 | 1892 |
Vinish Kathuria | 23 | 96 | 1991 |
P. Balachandra | 22 | 65 | 2514 |
Kaivan Munshi | 22 | 62 | 5402 |