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 paper, a study was conducted to survey the residents of Bombay and elicit their willingness to pay for the maintainance and preservation of Borivli National Park (BNP) using the Contingent Valuation (CV) method.
206 citations
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TL;DR: In this article, the relationship between gasoline demand, national income and price of gasoline is empirically examined using cointegration and error correction techniques, and it has been found that gasoline demand is likely to increase significantly for a given increase in the gross domestic product.
201 citations
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TL;DR: In this article, the authors employ a two-stage model selection procedure for the S&P 500 index and India's NSE-50 index at the 95% and 99% levels.
Abstract: Value-at-Risk (VaR) is widely used as a tool for measuring the market risk of asset portfolios. However, alternative VaR implementations are known to yield fairly different VaR forecasts. Hence, every use of VaR requires choosing among alternative forecasting models. This paper undertakes two case studies in model selection, for the S&P 500 index and India's NSE-50 index, at the 95% and 99% levels. We employ a two-stage model selection procedure. In the first stage we test a class of models for statistical accuracy. If multiple models survive rejection with the tests, we perform a second stage filtering of the surviving models using subjective loss functions. This two-stage model selection procedure does prove to be useful in choosing a VaR model, while only incompletely addressing the problem. These case studies give us some evidence about the strengths and limitations of present knowledge on estimation and testing for VaR. Copyright © 2003 John Wiley & Sons, Ltd.
181 citations
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TL;DR: In this article, an integrated model using goal programming and the Analytic Hierarchy Process (AHP) has been developed for energy resource allocation, which incorporates nine quantitative and three qualitative criteria.
Abstract: Energy resource allocation presents a multi-criteria decision making problem with the criteria being quantitative and/or qualitative. Solving such a problem requires an integrated approach. In this paper, an integrated model using goal programming and the Analytic Hierarchy Process (AHP) has been developed for energy resource allocation. It incorporates nine quantitative and three qualitative criteria. The model has been applied to the household sector of Madras, India. A detailed sensitivity analysis has also been carried out. Three additional scenarios have been developed. Use of the model suggested: natural gas, fuelwood and solar thermal for cooking; biogas and electricity generated from fuelwood for water pumping; and all decentralized electricity generation technologies for lighting and operating household appliances. Grid electricity was perferred only for lighting.
179 citations
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TL;DR: In this paper, the authors developed an axiomatic measure of financial inclusion and demonstrated that supply side data on banking services can be usefully employed to measure financial inclusion, which is readily implementable and useful to determine policy priorities to promote financial inclusion.
178 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 |