Rational expectations models have increasingly been replaced by models with various forms of learning. This paper studies the global dynamics of a model of renewable resource markets due to Hommes and Rosser [Macroecon. Dyn. 5 (2001) 180] under adaptive and statistical learning systems. The statistical learning system is seen to generate greater complexity of the structures of the basins of att...

This paper compares three reduced-form models of heterogeneity in survey inflation expectations. On the one hand, we specify two models of forecasting inflation based on limited information flows of the type developed in Mankiw and Reis [2002. Sticky information versus sticky prices: a proposal to replace the new Keynesian Phillips curve. Quarterly Journal of Economics 117(4), 1295–1328]. We pr...

We propose a generalized ordered response model that nests the popular Carlson-Parkin (CP) method to quantify household inflation expectations while explicitly control for cross-sectional heterogeneity in the threshold parameters and the variance. By matching qualitative and quantitative data from 1979 to 2012 from the University of Michigan’s Survey of Consumers, we find evidence against the t...

We determine optimal discretionary monetary policy in a New-Keynesian model when nominal interest rates are bounded below by zero. Nominal interest rates should be lowered faster in response to adverse shocks than in the case without bound. Such ‘preemptive easing’ is optimal because expectations of a possibly binding bound in the future amplify the e ects of adverse shocks. Calibrating the mod...

– This paper applies neural network methodology to inßation forecasting in the Euro-area and the USA. Neural network methodology outperforms linear forecasting methods for the Euro Area at forecast horizons of one, three, and six month horizons, while the linear model is preferable for US data. The nonlinear estimation shows that unemployment is a signiÞcant predictor of inßation for the Euro A...

The purpose of this paper is study the effect of monetary policy on asset prices. We study the properties of a monetary model in which a real asset is valued for its rate of return and for its liquidity. We show that money is essential if and only if real assets are scarce, in the precise sense that their supply is not sufficient to satisfy the demand for liquidity. Our model generates a clear ...

In this study, a vector autoregression (VAR) model with time-varying parameters (TVP) to predict the daily Indian rupee (INR)/US dollar (USD) exchange rates for the Indian economy is developed. The method is based on characterization of the TVP as an optimal control problem. The methodology is a blend of the flexible least squares and Kalman filter techniques. The out-of-sample forecasting perf...

This study examines the expectational stability of the rational expectations equilibria (REE) under alternative Taylor rules when trend inflation is non-zero. We find that when trend inflation is high, the REE is likely to be expectationally unstable. This result holds true regardless of the nature of the data (such as contemporaneous data, forecast, and lagged data) introduced in the Taylor ru...

We examine the price dynamics in Indian cities using cointegration analysis. We identify and then calculate a common trend for prices in these 25 cities. We obtain the impulse response functions to calculate the rates of convergence to the prices, and find that the half-life of any shock is very small for Indian cities. Although a close to three-month half-life seems too fast, there are some in...

UNLABELLED The objective of this paper is to verify the hypotheses presented in the literature on the causal relationship between inflation and its uncertainty, for the newest EU countries. To ensure the robustness of the results, in the study four models for inflation uncertainty are estimated in parallel: ARCH (1), GARCH (1,1), EGARCH (1,1,1) and PARCH (1,1,1). The Granger method is used to t...