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...

In this paper, we consider semiparametric model averaging of the nonlinear dynamic time series system where the number of exogenous regressors is ultra large and the number of autoregressors is moderately large. In order to accurately forecast the response variable, we propose two semiparametric...

We examine a kernel regression smoother for time series that takes account of the error correlation structure as proposed by Xiao et al. (2008). We show that this method continues to improve estimation in the case where the regressor is a unit root or near unit root process.

We consider approximating a multivariate regression function by an affine combination of one-dimensional conditional component regression functions. The weight parameters involved in the approximation are estimated by least squares on the first-stage nonparametric kernel estimates. We establish...

We investigate a model in which we connect slowly time varying unconditional long-run volatility with short-run conditional volatility whose representation is given as a semi-strong GARCH (1,1) process with heavy tailed errors. We focus on robust estimation of both long-run and short-run...

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...