Ghost Dark Energy with Variable Gravitational Constant

In a bid to resolve lingering problems in modern Cosmology, Cosmologist are turning to models in which Physical constants of nature are not real constants but vary as function of the scale factor of the universe. In this work, a cosmological model is developed by incorporating Ghost Dark Energy model with Barrow's ansatz for varying Gravitational Constant. A model obtained is free from initial Big Bang Singularity and Inflation Problem. A test of Causality showed that the model depends of the constant m and is classically stable at  -6 > m > -3

An Estimated DSGE Model of the Indian Economy

We develop a closed-economy DSGE model of the Indian economy and estimate it by Bayesian Maximum Likelihood methods using Dynare. We build up in stages to a model with a number of features important for emerging economies in general and the Indian economy in particular: a large proportion of credit-constrained consumers, a financial accelerator facing domestic firms seeking to finance their investment, and an informal sector. The simulation properties of the estimated model are examined under a generalized inflation targeting Taylor-type interest rate rule with forward and backward-looking components. We find that, in terms of model posterior probabilities and standard moments criteria, inclusion of the above financial frictions and an informal sector significantly improves the model fit.Indian economy, DSGE model, Bayesian estimation, monetary interest rate rules, financial frictions

A Floating versus Managed Exchange Rate Regime in a DSGE Model of India

We first develop a two-bloc model of an emerging open economy interacting with the rest of the world calibrated using Indian and US data. The model features a financial accelerator and is suitable for examining the effects of financial stress on the real economy. Three variants of the model are highlighted with increasing degrees of financial frictions. The model is used to compare two monetary interest rate regimes: domestic Inflation targeting with a floating exchange rate (FLEX(D)) and a managed exchange rate (MEX). Both rules are characterized as a Taylor-type interest rate rules. MEX involves a nominal exchange rate target in the rule and a constraint on its volatility. We find that the imposition of a low exchange rate volatility is only achieved at a significant welfare loss if the policymaker is restricted to a simple domestic in- flation plus exchange rate targeting rule. If on the other hand the policymaker can implement a complex optimal rule then an almost fixed exchange rate can be achieved at a relatively small welfare cost. This finding suggests that future research should examine alternative simple rules that mimic the fully optimal rule more closely. JEL Classification: E52, E37, E58DSGE model, Indian economy, monetary interest rate rules, floating versus managed exchange rate, financial frictions.

An Estimated DSGE Model of the Indian Economy.

We develop a closed-economy DSGE model of the Indian economy and estimate it by Bayesian Maximum Likelihood methods using Dynare. We build up in stages to a model with a number of features important for emerging economies in general and the Indian economy in particular: a large proportion of credit-constrained consumers, a financial accelerator facing domestic firms seeking to finance their investment, and an informal sector. The simulation properties of the estimated model are examined under a generalized inflation targeting Taylor-type interest rate rule with forward and backward-looking components. We find that, in terms of model posterior probabilities and standard moments criteria, inclusion of the above financial frictions and an infor- mal sector significantly improves the model fit.Indian economy ; DSGE model ; Bayesian estimation ; Monetary interest rate rules ; Financial frictions