NO: WP-2019-013 AUTHOR: Ashima Goyal, Rajeswari Sengupta and Akhilesh Verma TITLE: External Debt Financing and Macroeconomic Instability in Emerging Market Economies ABSTRACT: We study the relationship between external debt financing and risk to macroeconomic stability using a panel vector autoregression model for a sample of ten major emerging market economies. We also […]
1. Online Examination Results for the M.Phil/Ph.D. Programme 2019 2. Online Examination Results for the M.Sc. Programme 2019
NO : WP-2019-012 Title: Analysing monetary policy statements of the Reserve Bank of India Authors: Aakriti Mathur and Rajeswari Sengupta JEL classification: E52, E58, G12, G14 Keywords: Monetary policy, central bank communication, linguistic complexity, financial markets, textual analysis, natural language processing. Abstract: In this paper we quantitatively analyse monetary policy […]
Prof Rajeswari Sengupta has been appointed a member of the Standing Committee on Centralised Information Management System by the Reserve Bank of India.
Selected Candidates for Visiting Students Programme 2019 No. Name University 1 Chayan Poddar Indian Institute of Technology, Guwahati 2 Deepika Santhanakrishnan Gokhale Institute of Politics and Economics 3 Dipti Mishra Indian Institute of Technology, Roorkee 4 Divya Jain South Asian University 5 Ewan Nikhil Thomas University of Hyderabad 6 Himani Agarwal […]
NO : WP-2019-011 AUTHOR : Nidhi Aggarwal, Venkatesh Panchapagesan and Susan Thomas TITLE : When do regulatory interventions work? ABSTRACT : Previous studies find mixed results about how a fee on high order-to-trade (OTR) ratios impacts market quality. Using a natural experiment where such a fee was introduced twice for different reasons, this paper […]
Madhuparna Ganguly – Gold Medallist M.Sc (Economics) 2018 batch awarded at 16th IGIDR Convocation 26th March 2019.
NO : WP-2019-010 AUTHOR : Ashima Goyal and Abhishek Kumar TITLE : News, Noise and Indian Business Cycle 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 […]