This paper uses a two-country, monetary general equilibrium model with imperfect competition to study the optimal rate of inflation in an open economy. In contrast with the closed economy literature, when policy is set non-cooperatively in the open economy, the optimality of the Friedman rule --...

Can active Taylor rules (i.e. monetary rules where the nominal interest rate responds more than proportionally to inflation) deliver global equilibrium uniqueness in small open economies? By studying the local and global dynamics of a standard small open economy we point out the misleading...

In this paper, we consider a dynamic New Keynesian model of the small open economy in the light of bounded rationality. This entails private agents and the central bank updating their beliefs about the laws of motion of inflation, the output gap and real exchange rate when forming their optimal...

We compare the performance of a currency board, inflation targeting, and dollarization in a small, open developing economy with a liberalized capital account. We focus on the transmission of shocks to currency and country risk premia and on the role of fluctuations in premia in the propagation...

The research addresses three methodological questions that are central to effective exchange rate and macroeconomic management: what are the determinants and how to model the real exchange rate (RER), how to estimate its equilibrium level, and how to quantify the likely impact of misalignment on...

This study examines the dynamics associated with an economy implementing an Exchange Rate Based Stabilization (ERBS) programs when they are subject to sudden restrictions in international capital flows. In the context of a simple theoretical model, we describe the pressures on a country's...

It is known that stock returns are affected by monetary policy. This paper theoretically and empirically investigates whether asymmetric information between the Federal Reserve and the public causes the relation between stock returns and monetary policy actions. The paper concludes that...

This paper is concerned with Bayesian reduced rank regression when instruments are weak. There have been a number of studies on weak identification problem with the application of reduced rank regression combined with singular value decomposition (SVD) method in the Bayesian framework, see...

Finite-sample inference methods are developed for quantile regression models. The methods are conservative in that (i) they apply to arbitrary sample sizes without the liberal assumption that sample sizes approach infinity, (ii) they apply when the quantiles are partially or set identified,...

We propose a novel statistic to test the rank of a matrix. The rank statistic overcomes deficiencies of existing rank statistics, like: necessity of a Kronecker covariance matrix for the canonical correlation rank statistic of Anderson (1951), sensitivity to the ordering of the variables for the...