Most US house price models break down in the mid-2000's, due to the omission of exogenous changes in mortgage credit supply (associated with the sub-prime mortgage boom) from house price-to-rent ratio and inverted housing demand models. Previous models lack data on credit constraints facing...

The U.S. house price boom has been linked to an unsustainable easing of mortgage credit standards. However, standard time series models of US house prices omit credit constraints and perform poorly in the 2000’s. We incorporate data on credit constraints for first time buyers into a model of...

Housing and pension wealth are shown to be important determinants of personal sector consumption and retirement behaviour in the UK. Housing and state pension wealth have a positive effect on consumption, while private pension wealth promotes greater savings. Greater private defined benefit...

The paper analyzes the existence and impact of …nancing constraints as a possibly serious obstacle to innovation by …rms. Direct measures of …nancing constraints are employed using survey data collected by the Banque de France and Eurostat, which overcomes the problems with the traditional...

Microeconomic efficiency and market transparency argue in favour of UK membership in EMU and for Scotland''s membership in the UK monetary union and also in EMU. UK seigniorage (government revenues from money issuance) would be boosted by EMU membership. Lender of last resort arrangements would...

Both the euro-area and the United States suffered an initially quite similar housing and financial shock in 2007/8, with several states in both regions being particularly badly affected. Yet there was never any question that the worst hit US states would need a special bail-out or leave the...

We analyse the Generalised Hyperbolic distribution as a model for fat tails and asymmetries in multivariate conditionally heteroskedastic dynamic regression models. We provide a standardised version of this distribution, obtain analytical expressions for the log-likelihood score, and explain how...

We propose an easy to use derivative based two-step estimation procedure for semi-parametric index models. In the first step various functionals involving the derivatives of the unknown function are estimated using nonparametric kernel estimators. The functionals used provide moment conditions...

We develop in this paper a generalization of the Indirect Inference (II) to semi-parametric settings and termed Semi-parametric Indirect Inference (SII). We introduce a new notion of Partial Encompassing which lays the emphasis on Pseudo True Values of Interest. The main difference with the...

A well known result is that the Gaussian log-likelihood can be expressed as the sum over different frequency components. This implies that the likelihood ratio statistic has a similar linear decomposition. We exploit these observations to devise diagnostic methods that are useful for...