We suggest improved tests for cointegration rank in the vector autoregressive (VAR) model and develop asymptotic distribution theory and local power results. The tests are (quasi-)likelihood ratio tests based on a Gaussian likelihood, but of course the asymptotic results apply more generally....

This paper examines the limiting properties of the estimated parameters in the random field regression model recently proposed by Hamilton (Econometrica, 2001). Though the model is parametric, it enjoys the flexibility of the nonparametric approach since it can approximate a large collection of...

Distortionary effects of inflation on relative prices are the main argument for inflation stabilization in macro models with sticky prices. Under indexation of non-optimized prices those models imply a nonlinear and dynamic impact of inflation on the cross-sectional price dispersion...

We apply the asymmetric ARDL model advanced by Shin, Yu and Greenwood-Nimmo (2009) to the analysis of the patterns of pass-through from policy-controlled interest rates to a variety of longer-term rates in the U.S. and Germany. Our results reveal three main phenomena. Firstly, while the effect...

Various deviations from the Permanent Income consumption model with rational expectations have been discussed in the literature, including loss aversion and liquidity constraints. In the existing literature, these two types of consumption asymmetry are usually considered as mutually exclusive....

The creation of jobs in the low-pay sector is considered to be an approach to reduce unemployment, especially with respect to low-skilled workers. By now, the expansion of the German low-wage sector over the last 15 years is empirically confirmed, which indicates a successful implementation of...

Using the Cointegrated VAR framework, we provide evidence for the US manufacturing sector that the principle of effective demand in a growth context, by which a permanent demand shock has a permanent growth effect, is consistent with the stylized fact of a stationary rate of capacity...

We introduce a variant of the smooth transition autoregression - the GSTAR model - capable to parametrize the asymmetry in the tails of the transition equation by using a particular generalization of the logistic function. A General-to-Specific modelling strategy is discussed in detail, with...

A review is given of parametric estimation methods for discretely sampled multivariate diffusion processes. The main focus is on estimating functions and asymptotic results. Maximum likelihood estimation is briefly considered, but the emphasis is on computationally less demanding martingale...

Forecasting using factor models based on large data sets have received ample attention due to the models’ ability to increase forecast accuracy with respect to a range of key macroeconomic variables in the US and the UK. However, forecasts based on such factor models do not uniformly...