This paper develops a fully modified OLS estimator for cointegrating polynomial regressions, i.e. for regressions including deterministic variables, integrated processes and powers of integrated processes as explanatory variables and stationary errors. The errors are allowed to be serially...

This paper develops a fully modified OLS estimator for cointegrating polynomial regressions, i.e. for regressions including deterministic variables, integrated processes and powers of integrated processes as explanatory variables and stationary errors. The errors are allowed to be serially...

In this paper we analyse bootstrap procedures for systems cointegration tests with a prior adjustment for deterministic terms suggested by Saikkonen & Lütkepohl (2000b) and Saikkonen, Lütkepohl & Trenkler (2006). The asymptotic properties of the bootstrap test procedures are derived and their...

Usually cointegrated VAR models of wage formation are analysed in a wage-price setup. However, theoretical wage bargaining models provide the background for a wage-employment setup. The two relations of interest are the labour demand equation from the profit maximizing firms and the (bargained)...

We introduce a new quadratic error correction model that comprehensively accounts for both sign and size asymmetries. We also propose a test protocol that allows to rigorously identify the different sources of long-run nonlinearity, namely, quadratic nonlinearity, size asymmetry and sign...

We propose a novel statistic to test the rank of a matrix. The rank statistic overcomes deficiencies of existing rank statistics, like: Necessity of a Kronecker covariance matrix for the canonical correlation rank statistic of Anderson (1951), sensitivity to the ordering of the variables for the...