The UK has been a net debtor over the past two decades and the sterling exchange rates are sensitive to any chaos that might occur in the Financial market. This paper examines the importance of the inter-national financial imperfections in the sterling exchange rate dynamics. We build a small...

Maximum Likelihood (ML) shows both lower power and higher bias in small sample Monte Carlo experiments than Indirect Inference (II) and IIís higher power comes from its use of the model-restricted distribution of the auxiliary model coeffi cients (Le et al. 2016). We show here that IIís higher...

A common practice in estimating parameters in DSGE models is to Önd a set that when simulated gets close to an average of certain data moments; the modelís simulated performance for other moments is then compared to the data for these as an informal test of the model. We call this procedure...

This paper studies the economy of Hong Kong through the lens of a small open economy DSGE model with a currency board exchange rate commitment. It assumes flexible prices and a banking system that provides credit to entrepreneurial household-firms; the money supply is fully backed by reserves...

We set up a two-region model to study the policy challenge of bringing the North's income up to the level of the South in the UK. The model focuses on labour costs as the driver of output gains through the international competitiveness channel. The empirical results show that the regional model...

Stochastic simulations are used on the Liverpool Model of the UK to assess the effect of UK euro entry on macroeconomic stability. Instability increases substantially, particularly for inflation and real interest rates. A key factor is the extent of the euro's instability against the dollar; by...

Macroeconomic researchers use a variety of estimators to parameterise their models empirically. One such is FIML; another is a form of indirect inference we term "informal" under which data features are "targeted" by the model -i.e. parameters are chosen so that model-simulated features...

Indirect inference testing can be carried out with a variety of auxiliary models. Asymptotically these different models make no difference. However, in small samples power can differ. We explore small sample power with three different auxiliary models: a VAR, average Impulse Response Functions...

Indirect inference testing can be carried out with a variety of auxiliary models. Asymptotically these different models make no difference. However, in small samples power can differ. We explore small sample power with three different auxiliary models: a VAR, average Impulse Response Functions...