In this paper, we develop a forward-looking small scale macroeconomic model (SSMM) of the Indonesian economy which is potentially useful for carrying out monetary policy analysis. The Batini-Haldane (1999) model is used as the theoretical underpinning for the development of the model along with...

Since the introduction of rational expectations in the literature, most of the research focus in the area of macroeconomics has been investigating micro foundations of macroeconomic theory and transmission channels of policy. In 1990s, macroeconomists started working on macro models...

A widely agreed proposition in modern economics is that policy rules have greater advantage over discretion in improving economic performance. Simple monetary policy instrument rules are feasible options for developing countries lacking the pre-requisites for more sophisticated targeting rules....

Given the importance of Consumer Price Index (CPI), there has been long debate on its measurement issues. It is the best and most well-known indicator of inflation, which is further used for evaluating the monetary and fiscal policy of a country. Other uses of CPI for indexation are social...

In this paper a fiscal consolidation program for India has been presented based on a policy simulation model that enables us to examine the macroeconomic implications of alternative fiscal strategies, given certain assumptions about other macro policy choices and relevant exogenous factors. The...

Lucas (1976) argued that interventionist policies in macroeconomics may fail because the policies themselves affect the optimal behavior of private agents and hence the associated response parameters. We extend Lucas's argument and propose that a highly controlled and regulated environment leads...

In this paper we attempt to provide a comprehensive understanding of the drivers of academic research and patenting in India. Academic research is conceptualised as a research production process where research inputs (like research time and number of research scholars) are transformed into...

We propose an instrumental variable quantile regression (IVQR) estimator for spatial autoregressive (SAR) models. Like the GMM estimators of Lin and Lee (2006) and Kelejian and Prucha (2006), the IVQR estimator is robust against heteroscedasticity. Unlike the GMM estimators, the IVQR estimator...

The efficiency of 119 electric cooperatives in the Philippines from 1990-2002 is analyzed using a stochastic frontier model augmented with spatial-temporal terms, addressing the underestimation of technical efficiency usually encountered among maximum-likelihood based methods. The model is also...

This paper investigates the asymptotic properties of quasi-maximum likelihood estimators for transformed random effects models where both the response and (some of) the covariates are subject to transformations for inducing normality, flexible functional form, homoscedasticity, and simple model...