This paper investigates the relation between changes in self-employment and changes in unemployment at the regional level in Spain in the period 1979-2001. We estimate a vector autoregression model as proposed by Audretsch, Carree, van Stel and Thurik (2005) using a data base for Spanish regions. By estimating the model we are able to empirically distinguish between two directions of causality....

Graph-theoretic methods of causal search based on the ideas of Pearl (2000), Spirtes et al. (2000), and others have been applied by a number of researchers to economic data, particularly by Swanson and Granger (1997) to the problem of finding a data-based contemporaneous causal order for the structural vector autoregression, rather than, as is typically done, assuming a weakly justified Cholesk...

Firms’ spending on R&D, advertising, and inventory holding affect firm performance, which in turn affects future spending in each of these three areas. Effective allocation of resources across R&D, advertising, and inventory holding is challenging since an understanding of their dynamic inter-relationships is necessary. Past research has not examined these spending issues simultaneously. We est...

Ploberger and Phillips (Econometrica, Vol. 71, pp. 627–673, 2003) proved a result that provides a bound on how close a fitted empirical model can get to the true model when the model is represented by a parameterized probability measure on a finite dimensional parameter space. The present note extends that result to cases where the parameter space is infinite dimensional. The results have impli...

We investigate the international transmission of inflation among G-7 countries using data-determined vector autoregression analysis, as advocated by Swanson and Granger [Swanson, N., Granger, C., 1997. Impulse response functions based on a causal approach to residual orthogonalization in vector autoregressions. Journal of the American Statistical Association 92, 357–367]. Over the period 1973–2...

In this note we introduce a new inferential method for STAR (spatio-temporal autoregression) models. Due to the complexity of such models the maximum likelihood estimation is difficult to undertake when several nearest neighbours are included in the model, see Ali (1979). Moreover, only approximate likelihoods are available in practice because of the observations lying on the edges of the spati...