An autoregressive fixed effects panel data equation in error-ridden endogenous and exogenous variables, with finite memory of disturbances, latent regressors and measurement errors is considered. Finite sample properties of GMM estimators are explored by Monte Carlo (MC) simulations. Two kinds...

The Generalized Method of Moments (GMM) is discussed for handling the joint occurrence of fixed effects and random measurement errors in an autoregressive panel data model. Finite memory of disturbances, latent regressors and measurement errors is assumed. Two specializations of GMM are...

We consider the properties of two monetary policy rules (monetary targeting, Taylor-type interest rate rule) in an intertemporal equilibrium model with capital accumulation and two outside assets (government bonds, fiat money). The paper shows that the long-run behaviour of the economy depends...

This paper analyses the issue of money superneutrality through an intertemporal optimising model of capital accumulation and inflation with endogenous fertility, i.e. endogenous population growth. The model establishes an inverse relation between capital-labour ratio and population growth, which...

Few propositions in macroeconomics are less controversial than long-run money neutrality, yet clear and robust empirical support has not been found in time series studies. Bernanke and Mihov (1998) are comparatively successful in this hunt, but their output response to monetary policy shocks...

This paper develops a multi-period extension of the Lucas (1972) overlapping generations "island" model with endogenous monetary policy (based on the minimization of a loss function over inflation and output deviations) and stochastic realization of the "allocation" of the young people across...

In models that have a representation of the form       ) , ( x g y the Wald test for ˆBeta has systematically wrong size in finite samples when the indentifying parameter Gamma is small relative to its estimation error. An alternative test based on linearization of...

Usually, seasonal adjustment is based on time series models which decompose an unadjusted series into the sum or the product of four unobservable components (trendcycle, seasonal, working-day and irregular components). In the case of clearly weatherdependent output in the west German...

We propose a Conditional Autoregressive Wishart (CAW) model for the analysis of realized covariance matrices of asset returns. Our model assumes a generalized linear autoregressive moving average structure for the scale matrix of the Wishart distribution allowing to accommodate for complex...

There appears to be a consensus that the recent instability in global financial markets may be attributable in part to the failure of financial modeling. More specifically, current risk models have failed to properly assess the risks associated with large adverse stock price behavior. In this...