This paper considers estimation methods and inference for linear dynamic panel data models with unit-specific heterogeneity and a short time dimension. In particular, we focus on the identification of the coefficients of time-invariant variables in a dynamic version of the Hausman and Taylor...

On 11 March 2015, SUERF jointly organised a conference with the Oesterreichische Nationalbank and the Austrian Society for Bank Research (Bankwissenschaftliche Gesellschaft - BWG). The present SUERF Study 2015/2 includes a selection of papers based on the authors' contributions to the Vienna...

On May 11-12, 2011, SUERF, the Belgian Financial Forum, the Brussels Finance Institute and the Centre for European Policy Studies (CEPS) jointly organised the 29th SUERF Colloquium New paradigms in money and finance? The papers included in this SUERF Study are based on contributions to the...

On 23rd February 2017, SUERF and EY organized a conference on "Brexit and the Implications for Financial Services" at EY's offices, Churchill Place, Canary Wharf, London. While the outcome of the Brexit negotiations remains highly uncertain, the conference discussed the burning questions for...

We exploit a policy change in Sweden to estimate the effect of copayments on the demand for children's and adolescents' usage of medical care. To this end, we use population-wide registry data including detailed characteristics of individuals and their medical visits. We examine whether the...

We rationalize a special type of sharing information which can typically be found in markets for occupational disability insurances. There, firms share information about acceptances and rejections of an applicant. We set up a multiple-step signalling model with uninformed agents and endogenize...

The topic of this paper is the estimation uncertainty of the Stock-Watson and Gonzalo-Granger permanent-transitory decompositions in the framework of the co-integrated vector autoregression. We suggest an approach to construct the confidence interval of the transitory component estimate in a...

In this paper we explore the possibility of the application of GAMLSS regression techniques for the analysis of income distributions in Germany following the reunification. We find that conditional income distributions can generally be modelled using the three parameter Dagum distribution and...

I derive the unconditional transformed likelihood function and its derivatives for a fixed-effects panel data model with time lags, spatial lags, and spatial time lags that encompasses the pure time dynamic and pure space dynamic models as special cases. In addition, the model can accommodate...