Computing power now allows empirical researchers to use intensive computing estimation techniques with nonlinear panel-data models. Maximum Likelihood estimation is often cumbersome, if not analytically intractable, when dealing with such models. Even the simple calculation of the likelihood...

Advances in computing power allow the empirical researcher to use intensive computional techniques to solve and estimate nonlinear panel-data models, specifically those arising from nonlinear panel data such as Probit and Tobit models. In these cases, maximum-likelihood estimation can be...

As an emerging economy, Turkey is an interesting case study because it was one of the hardest hit countries by the crisis, with a year-over-year contraction of 15 percent during the first quarter of 2009. At the same time, anticipating the fallout from the crisis, the Central Bank of the...

This paper estimates a New Keynesian open economy DSGE model for Turkey by using Bayesian estimation technique for the period of 2002 : q1 - 2009 : q3. It studies fiscal and monetary policy interactions and their role in stabilisation of the economy using a small-scale model following the...

The recent episodes of capital flows to emerging market economies in the aftermath of the global financial crisis once again highlighted the importance of appropriate policy design to cope with strong and volatile capital flows, that are effective not only during surges but also during...

This paper aims to understand the role of investment shocks in explaining output fluctuations observed in Turkish economy. For this purpose a small open economy DSGE model is estimated on Turkish data for 2002:1-2012:2 period by Bayesian methods. Variance decomposition analysis shows that...

Central puzzles in international macroeconomics are why fluctuations of the real exchange rate are so volatile with respect to other macroeconomic variables, and the contradiction of efficient risk-sharing. Several theoretical contributions have evaluated alternative forms of pricing under...

Parallel particle filters for evaluation of the likelihood of DSGE models are implemented and evaluated in a distributed memory message-passing context. In our paper special emphasis is put on the details of the interprocessor communication which is necessary for load balancing in the particle...

This paper embeds the financial accelerator into a medium-scale DSGE model and estimates it using Bayesian methods. Incorporation of financial frictions enhances the model's description of the main macroeconomic aggregates. The financial accelerator accounts for approximately ten percent of...

This paper uses bayesian techniques to estimate a small-scale two country model based on the Euro Area and the U.S. data. The model, based on the New Open Economy Macroeconomics framework, is microfounded and characterized by nominal price rigidities, a nontradable sector, home bias in...