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Institution

Indira Gandhi Institute of Development Research

FacilityMumbai, 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
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TL;DR: In this article, the authors analyse the repurchase patterns of micro-insurance policies and find that the probability of repurchase is highest in the first two months after the contract expires, and steadily declines after.
Abstract: The paper asks what drives insurance coverage in low income households by analysing repurchase patterns of micro-insurance policies We use data on customers of a financial services provider from three states in India and find that the probability of repurchase is highest in the first two months after the contract expires, and steadily declines after This suggests a window of opportunity for financial firms and governments to target customers to ensure continuous insurance purchase Non-membership of micro-finance groups and poor rainfall in the month of expiry affect the chance of repurchase adversely Customers who take longer to repurchase tend to increase the amount of insurance cover

1 citations

Posted Content
TL;DR: In this paper, the impact of technology, markup and interest rate shocks with Indian data using Kalman filter based pure and Bayesian likelihood estimation was investigated. But, the authors did not consider the effect of technology on the Indian gross domestic product.
Abstract: New Keynesian Dynamic Stochastic General Equilibrium (DSGE) models with various specifications of technology, markup and interest rate shocks are estimated with Indian data using Kalman filter based pure and Bayesian likelihood estimation. Preference and interest rate shocks are found to be important for output determination whereas markup and interest rate shocks are important for inflation. News, such as contained in stock market variables and arising from anticipated interest rates, affects growth of gross domestic product. Interest rate shock is anticipated at horizon of one quarter and out of total variance explained by interest rate shock, one third is due to the anticipated shock. Anticipated interest rate shock diminishes the role of preference shock in output determination. Markup shock has a large share, very low persistence but is correlated. There is evidence that permanent component of technology is not well anticipated, and once we incorporate that technology shocks become more important for determination of output although it still remains much below US levels. Implications for policy are drawn out.

1 citations

Posted Content
TL;DR: In this paper, a survey of textiles and clothing exporters has been conducted to identify and assess the impact of non-tariff measures and the cost of compliance (COC) expenditure by the exporters.
Abstract: This paper reports findings from the survey of India’s textiles and clothing exporters. The survey method has been used to identify and assess the impact of Non-Tariff Measures (NTMs) and the Cost of Compliance (COC) expenditure by the exporters. A structured questionnaire has been used to gather data from a sample of 135 exporters across eight export centers of India i.e. Bangalore, Chennai, Coimbatore, Ludhiana, Mumbai, New Delhi, Panipat and Tirupur. Results reveal that the EU and USA are most restrictive region/country covering nearly three-fourth of total NTM incidences. The technical regulations, product & production process standards and conformity assessment for technical barriers are the most frequently used NTMs among the aggregated five categories. The average COC as percentage of turnover is inversely related to the firm size, which is 0.63% for large firms and 1.32% for small firms. However, about 58% of the firms spend less than 0.5% of their turnover on COC which is much lower than overall average of 1.12% and only 26% firms spend more than 1% of their turnover in complying with NTM standards. The COC is not exorbitant and justifiable given its long term benefits. Some of the common issues about NTMs are buyer nomination of the suppliers and testing & certification agencies, stringent social compliance measures, and discriminatory treatment on the basis of standards, import duty and other benefits. Unexpectedly, the NTMs are not only seen as marketing and promotional tool but also they promote efficiency and competitiveness within the industry. Further, financial crisis has reduced the export orders/volumes and the impact is more severe on high end fashion garments where product and market diversification is unlikely due to ever changing customer preferences.

1 citations

Journal ArticleDOI
TL;DR: In this article, the authors tried to empiricaly characterize the Indian intraday equity markets, using high-frequency data, and found that the behaviour of the most traded stocks in the NSE is similar to that in the NYSE, or SEAQ, despite the National Stock Exchange being an emerging marke and having a different market micro-structure than the New York, or the SEAQ.
Abstract: This paper tries to empiricaly characterize the Indian intraday equity markets, using high-frequency data. The National Stock Exchange is one of the busiest exchanges in the world. Parametric modelling of intraday returns of the S \& P CNX Nifty and an equally-weighted market index of the 20 most-traded stocks shows that the behaviour of the most-traded stocks in the NSE is similar to that in the NYSE, or SEAQ, despite the NSE being an emerging marke and having a different market microstructure than the NYSE, or the SEAQ.

1 citations

Journal ArticleDOI
TL;DR: In this paper, a rating-based methodology was proposed to estimate the WFH index for work from home (TRC) for India, where the ratings were provided for occupation-wise work activities according to their likelihood of getting performed from home by experts.
Abstract: The English version of this paper can be found at http://ssrn.com/abstract=3686212. Spanish Abstract: En tiempos del COVID-19, cuando el 'distanciamiento social' surge como una nueva normalidad, conocer los trabajos que se pueden realizar desde casa, es sin duda, un diagnostico necesario y util para los responsables de la politica publica como para los investigadores en general. La manera mas comun de estimar los trabajos u ocupaciones que se pueden realizar desde casa es realizando encuestas, metodo que demanda mucho tiempo y altos costos. Las encuestas estadounidenses O*NET que se utilizan con mayor frecuencia para estimar la valoracion del trabajo remoto desde casa (TRC) en un pais de origen, que no sea Estados Unidos, pueden conducir a grandes errores de medicion. En este documento, proponemos una metodologia basada en calificaciones para estimar la puntuacion del TRC. Este metodo es eficiente en terminos de tiempo y costo, y se puede reproducir facilmente en cualquier pais teniendo en cuenta el contexto interno. Con herramientas como la fiabilidad inter-evaluador (FIE), intentamos crear un indice solido del TRC para India. English Abstract: During unprecedented times like COVID-19, when ‘social distancing’ is a new normal, knowing the jobs that can be performed from home is useful for policymakers and researchers. A most common way to estimate jobs that can be performed from home is by carrying out surveys, but this method is time and cost-intensive. Moreover, using US-based O*NET surveys to estimate work from home (WFH) index in a home country, other than the US, can potentially lead to large measurement errors. In this paper, we propose a rating based methodology to estimate the WFH index. The ratings are provided for occupation-wise work activities according to their likelihood of getting performed from home by experts. This method is time and cost-effective and can easily be replicated in any country accounting for indigenous reality. Using tools like Inter-Rater Reliability (IRR), which is extensively used in psychology literature, we attempt to create a robust index of WFH for India.

1 citations


Authors

Showing all 320 results

NameH-indexPapersCitations
Seema Sharma129156585446
S.G. Deshmukh5618311566
Rangan Banerjee482898882
Kankar Bhattacharya462178205
Ramakrishnan Ramanathan431306938
Satya R. Chakravarty341445322
Kunal Sen332513820
Raghbendra Jha313353396
Jyoti K. Parikh311103518
Sajal Ghosh30727161
Tirthankar Roy251802618
B. Sudhakara Reddy24751892
Vinish Kathuria23961991
P. Balachandra22652514
Kaivan Munshi22625402
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
20225
202143
202027
201945
201844