The paper considers a Bayesian approach to the cointegrated VAR model with a uniform prior on the cointegration space. Building on earlier work by Villani (2005b), where the posterior probability of the cointegration rank can be calculated conditional on the lag order, the current paper also...

Cointegration analysis is applied to investigate the long run relationships between money, prices, and wages in Norway. Broad money is determined endogenously, and monetary balances were exposed to large shocks during the period of financial deregulation in the midst of the 1980s. In the long...

Extending the data set used in Beyer (2009) to 2017, we estimate I(1) and I(2) money demand models for euro area M3. After including two broken trends and a few dummies to account for shifts in the variables following the global financial crisis and the ECB's non-standard monetary policy...

Extending the data set used in Beyer (2009) from 2007 to 2017, we estimate I(1) and I(2) money demand models for euro area M3. We find that the elasticities in the money demand and the real wealth relations identified previously in Beyer (2009) have remained remarkably stable throughout the...

Extending the data set used in Beyer (2009) from 2007 to 2017, we estimate I(1) and I(2) money demand models for euro area M3. We nd that the elasticities in the money demand and the real wealth relations identi ed previously in Beyer (2009) have remained remarkably stable throughout the...

Demand for money function in India has been experimented with various specification and estimation issues. The main focus of this exercise is to re-evaluate the performance of the money demand specifications in the context of identifying suitable determinants. The major concern of this effort is...

A small macroeconomic model is constructed starting from a German money demand relation for M3 based on quarterly, seasonally unadjusted data for the period from 1976 to 1996. In contrast to previous studies we build a vector error correction model for M3, GNP, an inflation rate and an interest...

Approximation formulae are developed for the bias of ordinary andgeneralized Least Squares Dummy Variable (LSDV) estimators in dynamicpanel data models. Results from Kiviet (1995, 1999) are extended tohigher-order dynamic panel data models with general covariancestructure. The focus is on...

This paper reconsiders the long-run demand for M2 based on a newly constructed dataset featuring 32 countries since the first half of the 19th century. The evidence from cointegration tests suggests that a long-run equilibrium relationship for M2 demand is hardly present. Specifically, only...

We propose a generic Markov Chain Monte Carlo (MCMC) algorithm to speed up computations for datasets with many observations. A key feature of our approach is the use of the highly efficient difference estimator from the survey sampling literature to estimate the log-likelihood accurately using...