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: This paper examined the impact of an extreme monetary shock, India's demonetization of 2016, on domestic agricultural trade using data from around 3000 regulated markets for 35 major crops, finding that trade value fell by 16.3 - 16.8 \% in the short run, settling at 11.8 - 12.1 % after eight months - driven primarily by a decline in prices.
Abstract: We examine the impact of an extreme monetary shock, India's demonetization of 2016, on domestic agricultural trade. Using data from around 3000 regulated markets for 35 major crops, we find that trade value fell by 16.3 - 16.8 \% in the short run, settling at 11.8 - 12.1 % after eight months - driven primarily by a decline in prices. Triple difference estimates suggest sharpest impacts for kharif crops, perishables and crops with minimal government intervention. Markets far away from banks and other markets fared worse. Our results suggest that the implosion of value of
agricultural trade domestically persisted well beyond the season that coincided with the shock, whereas existing findings suggest that the negative impact on the economy as a whole dissipates.
4 citations
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TL;DR: This article explored the association between short-term migration in the household and the feminization of farm management in rural India and found that women are less likely than men to be either main or associated operators.
Abstract: This paper explores the association between short-term migration in the household and feminization of farm management in rural India. The analysis uses a nationally representative data set covering 35,604 rural Indian households in the year 2013. There is gender disaggregated information on who operates land in addition to the presence of a short-term migrant in the household. We model the labor outcomes of women as reflected by their participation as major decision-makers (main operator) or minor decision makers (associated operator) on the household operational holding. Overall, we find that women are less likely than men to be either main or an associated operator. However, in households with a short-term migrant, the probability of a woman being a decision maker as an operator increases. These results are robust to endogeneity and sample selection concerns. Our study highlights the importance of unpacking the feminization process to better understand the role of women as farm managers.
4 citations
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4 citations
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TL;DR: In this paper, the first attempt to rank economics departments of Indian Institutions based on their research output is made, where two rankings, one based on publications in international journals, and the other based on publication in domestic journals are derived.
Abstract: This paper is the first attempt to rank economics departments of Indian Institutions based on their research output. Two rankings, one based on publications in international journals, and the other based on publications in domestic journals are derived. The rankings based on publications in international journals are obtained using the impact values of 159 journals found in Kalaitzidakis et al. (2003). Rankings based on publications in domestic journals are based on impact values of 20 journals. Since there are no published studies on ranking of domestic journals, we derived the rankings of domestic journals by using the iterative method suggested in Kalaitzidakis et al. (2003). The department rankings are constructed using two approaches namely, the ‘flow approach’ and the ‘stock approach’. Under the ‘flow approach’ the rankings are based on the total output produced by a particular department over a period of time while under the ‘stock approach’ the rankings are based on the publication history of existing faculty members in an institution. From these rankings the trend of research work and the growth of the department of a university are studied. [WP-2010-021]
4 citations
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TL;DR: In this paper, the authors construct an index that measures the level of knowledge embodied in a country's import basket of capital goods and find that the high initial value of this index for the year 1995, leads to high growth rate of per capita income in the subsequent years during 1995~2005, that is, 10 percent increase in the value of the index raises growth rate by 2 to 3 percentage points.
Abstract: Capital goods industries, for example, nuclear reactors, steam and vapour turbines, air or gas compressors, filtering or purifying machinery and apparatus are intrinsically heterogeneous in terms of vintages and the level of technological knowledge embodied in their products. Countries decide to import wide range of varieties from different sources, which has a bearing on their growth rates. The present paper analyses the hypothesis that the types of imported capital goods and the sources of their origin matter for growth. We construct a new index that measures the level of knowledge embodied in a country’s import basket of capital goods. Using the instrumental variable method, we find that the high initial value of this index for the year 1995, leads to high growth rate of per capita income in the subsequent years during 1995~2005, that is, 10 percent increase in the value of the index raises growth rate by 2 to 3 percentage points. This paper looks beyond the simple relationship between trade openness and growth.
4 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 |