Indira Gandhi Institute of Development Research

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.

Sector GDP concentration bias in the macro-money demand specification: New evidence for India

Abstract: Money serves as an intermediate target variable for transmitting monetary policy actions in macroeconomic management. In this connection, no other macro-behavioural function is subjected to more modelling modifications and regression rigors than the macro-money demand function. Monetary policy planning crucially depends on the parameters of the money demand function. An emerging market economy undergoes structural change in the sector GDP composition when compared to that of a structurally (invariant) mature advanced economy. This obviously introduces a bias in the estimation of the income elasticity of money demand parameter if the structural change were not modelled into the money demand function. The present study tries to incorporate this structural change into the money demand function as an additional variable besides the aggregate GDP and interest rate as the conventional scale and opportunity cost parameters variables respectively. The simplified algebra permits us to proxy the sector GDP concentration variable by the numbers equivalent Herfindahl index(H) For the opportunity cost variable,1-3 year deposit rate and the call money rate are alternatively used. Maximum Likelihood estimates of the have thrown up a statistically highly significant positive coefficient of the H variable besides equally highly significant scale and opportunity cost variables with their expected positive and negative coefficients respectively. This empirical evidence suggests that without this variable, the conventional specification of the money demand function contains a serious policy-centric specification error. Also, the implication of the result is that as the sector GDP concentration increases, the demand for real money balances increases less proportionately, indicating presence of economies of scale.

Child Work and Schooling in Rural India: What Do Time Use Data Say about Trade-offs and Drivers of Human Capital Investment?:

Abstract: This study examines time use data for 1,244 children in the age group 6–12 years in 274 villages in eight states in rural north India to understand the trade-offs between time spent in school, time...

Asymmetry, terms of trade and the aggregate supply curve in an open economy model

Abstract: A new Keynesian monetary policy DSGE model estimated for an emerging and an advanced economy (India and the US) gives deep parameter estimates, impulse responses and forecast error variance decompositions for each in line with theory and country structure, implying similar functional forms can be estimated for differing countries with estimated coefficients capturing differences in structure. Features that create excess volatility, especially in emerging markets, explain differences in policy shocks. The feature explored in this paper is external terms of trade. When this is dampened in the emerging market, using policy tools other than the policy rate, the aggregate supply curve, which was relatively steeper, becomes flatter. As a result volatility of interest rates and their impact on output and inflation, which was relatively higher in India, becomes lower than in the US. Asymmetries between the countries are reversed. The estimated coefficient of the terms of trade is relatively higher in the US Taylor rule, while emerging market central banks find other policy tools more effective to manage external terms of trade.

On Delays in Project Completion with Cost Reduction: An Experiment

Abstract: We examine the voluntary provision of a public project via binary contributions when contributions may be made over multiple periods. In many situations, early contributors are likely to pay a higher cost than those who wait. We show that in such circumstances the provision of the project always involves delay. Because this game involves coordination on complex, dynamic strategies in the face of asymmetries in payoffs, we examine behavior in the laboratory.

Incidence of Poor and Poverty Risk in India across NSS Regions for Rural and Urban areas, 2004-05 and 2009-10

Abstract: This note provides an estimate of incidence of poor and poverty risk in India across NSS regions for 2004-05 and 2009-10 in rural and urban areas. It raises concern on increasing poverty risk and also incidence of poor in some regions. These are not necessarily among the relatively worse-off CABMOUJ (kab mouj, referring to Chhattisgarh, Assam, Bihar, Madhya Pradesh, Odisha, Uttar Pradesh and Jharkhand) states, but they also happen to be in some of the better performing states like Andhra Pradesh, Delhi, Gujarat, Haryana and Punjab. [WP-2014-021].