Most of the available monthly interest data series consist of monthlyaverages of daily observations. It is well-known that this averaging introduces spurious autocorrelation effectsin the first differences of the series. It isexactly this differenced series we are interested in when...

We derive new theoretical results on the properties of the adaptive least absolute shrinkage and selection operator (adaptive lasso) for time series regression models. In particular we investigate the question of how to conduct finite sample inference on the parameters given an adaptive lasso...

In this paper, we introduce a new class of bivariate threshold VAR cointegration models. In the models, outside a compact region, the processes are cointegrated, while in the compact region, we allow different kinds of possibilities. We show that the bivariate processes form a 1/2-null recurrent...

In the paper a general framework for large scale modeling of macroeconomic and financial time series is introduced. The proposed approach is characterized by simplicity of implementation, performing well independently of persistence and heteroskedasticity properties, accounting for common...

This paper discusses nonparametric kernel regression with the regressor being a d-dimensional ß-null recurrent process in presence of conditional heteroscedasticity. We show that the mean function estimator is consistent with convergence rate p n(T)hd, where n(T) is the number of regenerations...

Most of the available monthly interest data series consist of monthlyaverages of daily observations. It is well-known that this averaging introduces spurious autocorrelation effectsin the first differences of the series. It isexactly this differenced series we are interested in when...

In this paper, first, six micro (4) and macro (2) estimation approaches are briefly described; they are the National Accounts Statistics discrepancy method and two new micro survey methods, a third one using a combination of company manager surveys and their knowledge to calibrate the size of the...

In this paper, first, the MIMIC estimation method is described and criticized and due to a double counting problem a correction is suggested. Second, the measurement methods used for National Accounts Statistics – the discrepancy method and two new micro survey methods – are described and a...

In this paper, first, the MIMIC estimation method is described and criticized and due to a double counting problem a correction is suggested. Second, the measurement methods used for National Accounts Statistics - the discrepancy method and two new micro survey methods - are described and a...

In this paper, first, the MIMIC estimation method is described and criticized and due to a double counting problem a correction is suggested. Second, the measurement methods used for National Accounts Statistics - the discrepancy method and two new micro survey methods - are described and a...