We construct and estimate a unified model combining three of the main sources of cross-country income disparities:[...]

This paper constructs a two-country stochastic growth model in which neutraland investment-specic technology shocks are nonstationary but cointegrated acrosseconomies. It uses this model to interpret data showing that while real investmenthas grown faster than real consumption in the United...

We use plant output and input prices to decompose the profit margin into four parts:productivity, demand shocks, mark-ups and input costs. We find that each of these marketfundamentals are important in explaining plant exit. We then use variation across sectors intariff changes after the...

We analyze the cross-national distribution of GDP per capita and its evolutionfrom 1970 to 2003. We argue that peaks are not a suitable measure for distinctgrowth regimes, because the number of peaks is not invariant under strictlymonotonic transformations of the data (e.g. original vs. log...

This paper embarks to analyse the role of exports and investment supposed to be major sources of economic growth in Asia Pacific. Therefore at first, the cointegration properties of exports, capital formation and GDP are examined in vector error correction models (VECMs)...

Recent research has shown that relaxing the assumptions of complete informationand common knowledge in exchange rate models can shed light on a wide range ofimportant exchange rate puzzles. In this chapter, we review a number of models wehave developed in previous work that relax the strong...

Standard models of international risk sharing with complete asset markets predict a positive association between relative consumption growth and real exchange-rate depreciations across countries. The striking lack of evidence for this link - the consumption/real-exchange-rate anomaly or...

Over the past 15 years there has been remarkable progress in the specification and estimation of dynamic stochastic general equilibrium (DSGE) models. Central banks in developed and emerging market economies have become increasingly interested in their usefulness for policy analysis and...

Motivated by the recurrent Neural Networks, this paper proposes a recurrent Support Vector Regression (SVR) procedure to forecast nonlinear ARMA model based simulated data and real data of financial returns. The forecasting ability of the recurrent SVR is compared with three competing methods,...

We look at how large international datasets can improve forecasts of national activity. Weuse the case of New Zealand, an archetypal small open economy. We apply “data-rich” factorand shrinkage methods to tackle the problem of efficiently handling hundreds of predictordata series from many...