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.
Papers published on a yearly basis
Papers
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TL;DR: It was found that U.S. EPA source profiles are not suitable for such regions in India and site-specific source profiles should be used in the application of chemical mass balance for source apportionment.
Abstract: Aerosol samples collected within an industrial region of Bombay were analyzed for elemental concentrations using inductively coupled plasma emission spectroscopy, ultraviolet/visible spectrophotometry and X-ray fluorescence spectroscopy. Nineteen elements were selected as tracers of identified sources of aerosol in the region. The U.S. EPA chemical mass balance model was employed for source apportionment. Seven major source types were identified and the performance of the model was evaluated at different sampling locations. Model results were unsatisfactory at highly polluted sites in the study regions. It was found that U.S. EPA source profiles are not suitable for such regions in India and site-specific source profiles should be used in the application of chemical mass balance for source apportionment.
28 citations
TL;DR: In this article, the authors proposed to apply the principles of sustainable investing on incoming Foreign Direct Investment (FDI) on incoming FDI in order to achieve the goal of sustainable development.
28 citations
TL;DR: In this paper, reduced-form estimates of the Reserve Bank of India's (RBI) first-order condition indicate that its preferences have been asymmetric with respect to exchange-rate management, with the response to the rate of rupee appreciation being relatively larger than to the rapid rate of currency depreciation of the same magnitude.
Abstract: Reduced-form estimates of the Reserve Bank of India's (RBI) first-order condition indicate that its preferences have been asymmetric with respect to exchange-rate management, with the response to the rate of rupee appreciation being relatively larger than to the rate of rupee depreciation of the same magnitude. This behaviour is shown to account for a sizable fraction of reserve accretion in recent years.
28 citations
TL;DR: In this paper, the authors analyze the nexus between resource exhaustion and pollution externality using an overlapping generations framework where each generation lives only for a finite period and derive a modified Hotelling rule according to which the equilibrium resource price rises slower than the rate of interest in order to account for the damages due to the pollution stock generated by the resource used.
28 citations
Posted Content•
TL;DR: In this paper, the authors investigated the question of wage inequality in Indian manufacturing in the years of trade and investment liberalization and found that the positive contribution of change in output (scale effect), capital-output ratio and contract-worker intensity to wage inequality.
Abstract: This paper investigates the question of wage inequality in Indian manufacturing in the years of trade and investment liberalization. The objective is to test the hypothesis of skill biased technological change (SBTC) due to capital-skill complementarity and the impact of labour regulations on wage inequality between skilled and unskilled labour. The skill-wage bill share equation is estimated for a panel of 46 three-digit industries spanning the period 1981-2004 followed by 113 four-digit industries panel covering the period 1993 to 2004.The econometric results suggest the positive contribution of change in output (scale effect), capital-output ratio and contract-worker intensity to wage inequality in Indian manufacturing.
28 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 |