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.

Appliance electricity consumption in the residential sector: An economic approach

Abstract: In this article a theoretical framework within which the demand for electricity in the residential sector is studied. The cross-sectional household survey data is analyzed to estimate the consumption of electricity for different end uses by relating the household electricity consumption with the stock of electrical appliances. Using these estimates, appliances elasticities are obtained. It is shown how these elasticities can be used to relate future electricity usage to changes in the stock of appliances for Bangalore, the capital of Kamataka state in southern India.

The European unemployment problem: its cause and cure

Abstract: The stubbornly high unemployment experienced by European countries since the mid-1970s have led to a major reconsideration of the natural rate paradigm. Traditional theories which describe movements of unemployment as fluctuations around a moving natural rate have been challenged by hysteresis theories. The question arises how one can discriminate between these competing theories. To this end, we estimate a time-varying parameter model of the unemployment rate for the US, UK, Germany, and France. The parameters of the model were estimated jointly by maximum likelihood estimation using the Kalman filter algorithm. When the moving natural rate model is tested against the alternative of a unit root process, the unit root hypothesis is resoundingly rejected. Among the determinants of the natural rate institutions that alter labour market incentives for workers appear to have been more important than institutions that affect labour demand.

Variance-Ratio Tests and High-Frequency Data: A Study of Liquidity and Mean Reversion in the Indian Equity Markets

Abstract: This paper tests for market efficiency at high-frequencies of the Indian equity markets by studying the behaviour of serial correlation in firm stock prices. We do this using the Variance Ratio test using returns data at a frequency of 5 minutes. We find that at this frequency interval, stocks show a pattern of mean-reversion. We also find that different stocks revert at different rates. Microstructure literature suggests that there is a correlation between the efficiency of a stock price and the liquidity of the stock on the market. We examine this hypothesis with liquidity measured in terms of both trading intensity as well as impact cost. We find strong evidence that there is a link between the liquidity of a stock and the patterns of serial correlations in its market price at high frequency.

Conditions for inclusive innovation with application to telecom and mobile banking

Abstract: An innovation is defined to be inclusive if it is affordable and increases productivity. Three ways of facilitating inclusion through such innovation in emerging and developing economies are derived analytically. First, invest in inducing more technical change in products the less well-off use. Second, improve capital or skills available to them. Third, reduce their transaction costs. Both the second and the third increase market size for inclusive innovation, thus promoting it through markets. An example of the second is better public provision of relevant infrastructure and of the third is better regulatory design. Absence of such a focus in Indian telecom and mobile banking policy limited market size. Poor Internet infrastructure constrained development of mobile services. Higher transaction costs explain India’s slow start in mobile banking, compared to Pakistan.

Identifying long run supply curve of India

Abstract: Identifications of a vertical then a horizontal supply curve are successively imposed on Indian time series inflation and industrial output growth data in a two-equation Structural Vector Autoregression (SVAR) model. The results provide an indirect test of the identifications. A high elasticity of long run supply cannot be ruled out, because supply shocks have a large impact on inflation and demand has a large and persistent effect on output levels. But supply is subject to frequent shocks. Estimated structural shocks capture historical recessions and turning points well. Pro-cyclical policy induced demand shocks aggravated negative supply shocks or failed to take full advantage of positive supply side developments.