Economic theory, as well as empirical findings, suggest that the way in which agricultural support is provided has an influence on land markets, because payments capitalise to some degree into land values, affecting both the sale and rental price of land. The present paper analyses how the...

This study investigates the impact of the SAPS (Simplified Area Payment Scheme) on rental land values in seven New EU Member States (NMS). Using the FADN farm level panel data with 20,930 observations from 2004 and 2005 we are able to control for unobserved heterogeneity, simultaneity, and...

In this paper we estimate the income distributional effects of the common agricultural policy (CAP) for farmers and landowners. First, we theoretically analyse the level of farmers' and landowners' gains from coupled and decoupled payments. Second, using a unique farm level panel data set from...

Economic theory, as well as empirical findings, suggest that the way in which agricultural support is provided has an influence on land markets, because payments capitalise to some degree into land values, affecting both the sale and rental price of land. The present paper analyses how the...

Decoupled direct payments were introduced in the EU in form of the Single Payment Scheme (SPS) in 2005. The 2013 CAP reform changed both the implementation of the SPS and its budget. We assess the possible effects of the 2013 CAP reform on EU land markets; in particular the capitalization of the...

Credible Granger-causality analysis appears to require post-sample inference, as it is well-known that in-sample fit can be a poor guide to actual forecasting effectiveness. However, post-sample model testing requires an often-consequential a priori partitioning of the data into an "in-sample"...

The Beveridge-Nelson decomposition defines the trend component in terms of the eventual forecast function, as the value the series would take if it were on its long-run path. The paper in-troduces the multistep Beveridge-Nelson decomposition, which arises when the forecast function is obtained...

We apply a recently proposed Bayesian model selection technique, known as stochastic model specification search, for characterising the nature of the trend in macroeconomic time series. We illustrate that the methodology can be quite successfully applied to discriminate between stochastic and...

Few authors have studied, either asymptotically or in finite samples, the size and power of seasonal unit root tests when the data generating process [DGP] is a non-stationary alternative aside from the seasonal random walk. In this respect, Ghysels, lee and Noh (1994) conducted a simulation...

Sequential Monte Carlo (SMC) methods are widely used for non-linear filtering purposes. However, the SMC scope encompasses wider applications such as estimating static model parameters so much that it is becoming a serious alternative to Markov-Chain Monte-Carlo (MCMC) methods. Not only do SMC...