Central banks with an exchange rate objective set the interest rate in response to what they call "pressure." Instead, existing interest rate rules rely on the exchange rate minus its target. To stay closer to actual policy, we introduce a rule that uses exchange market pressure (EMP), the...

We propose a new Bayesian heteroskedastic Markov-switching structural vector autoregression with data-driven time-varying identification. The model selects alternative exclusion restrictions over time and, as a condition for the search, allows to verify identification through heteroskedasticity...

We study the impact of foreign direct investment (FDI) on total factor productivity (TFP) of domestic firms using a new, representative firm-level data set spanning six countries. A novel finding is that firm-level spillovers from foreign firms to domestic companies can be significantly...

We design a conceptual framework for linking two approaches: the literature on absorptive capacity and the literature on spatial knowledge spillovers. Regions produce new knowledge, but only part of it is efficiently adopted in the economy; the share of efficiently adopted technology depends on...

This paper reviews the empirical literature on growth and convergence that has addressed the importance of spatial factors. An important distinction in this literature is the one between absolute and relative location. The literature on absolute location predominantly uses non-spatial...

This paper uses monthly data from April 2005 to August 2013 for Taiwan to propose a novel tourism indicator, namely the Tourism Conditions Index (TCI). TCI accounts for the spillover weights based on the Granger causality test and estimates of the multivariate BEKK model for four TCI indicators...

The paper considers the problem as to whether financial returns have a common volatility process in the framework of stochastic volatility models that were suggested by Harvey et al. (1994). We propose a stochastic volatility version of the ARCH test proposed by Engle and Susmel (1993), who...

We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...