Oesterreichische Nationalbank

Vienna, Austria

Oesterreichische Nationalbank

Vienna, Austria
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Cuaresma J.C.,Vienna University of Economics and Business | Cuaresma J.C.,International Institute For Applied Systems Analysis | Cuaresma J.C.,Wittgenstein Center for Demography and Global Human Capital | Cuaresma J.C.,Austrian Institute for Economic Research WIFO | Feldkircher M.,Oesterreichische Nationalbank
Regional Studies | Year: 2014

Regional Studies. This paper uses Bayesian model averaging (BMA) to find robust determinants of economic growth between 1995 and 2005 in a new data set of 255 European regions. It finds that income convergence between countries is dominated by the catching-up of regions in new member states in Central and Eastern Europe, whereas convergence within countries is driven by regions in old European Union member states. Regions containing capital cities are growing faster, particularly in Central and Eastern European countries, as do regions with a large share of workers with a higher education. The results are robust when allowing for spatial spillovers among European regions. © 2012 © 2012 Regional Studies Association.

Posch J.,University of Florence | Rumler F.,Oesterreichische Nationalbank
Journal of Forecasting | Year: 2015

We develop a semi-structural model for forecasting inflation in the UK in which the New Keynesian Phillips curve (NKPC) is augmented with a time series model for marginal cost. By combining structural and time series elements we hope to reap the benefits of both approaches, namely the relatively better forecasting performance of time series models in the short run and a theory-consistent economic interpretation of the forecast coming from the structural model. In our model we consider the hybrid version of the NKPC and use an open-economy measure of marginal cost. The results suggest that our semi-structural model performs better than a random-walk forecast and most of the competing models (conventional time series models and strictly structural models) only in the short run (one quarter ahead) but it is outperformed by some of the competing models at medium and long forecast horizons (four and eight quarters ahead). In addition, the open-economy specification of our semi-structural model delivers more accurate forecasts than its closed-economy alternative at all horizons. © 2014 John Wiley and Sons, Ltd.

Fillat C.,University of Zaragoza | Woerz J.,Oesterreichische Nationalbank
Journal of International Trade and Economic Development | Year: 2011

This paper attempts to reconcile the often inconclusive evidence on the role of FDI in the process of economic development by taking into account the heterogeneity both among industries and among countries. Using a comparable database at the industry level for 35 countries in the OECD, Asia and Eastern Europe from 1987 to 2002, we test for the influence of both stage of development and sectoral FDI patterns in the relationship between FDI and productivity growth. In certain industries and for the catching-up countries, a significant and positive relationship emerges when FDI coincides with high investment or export orientation. © 2011 Taylor & Francis.

Kaufmann S.,Oesterreichische Nationalbank | Kugler P.,University of Basel
Journal of Forecasting | Year: 2010

Based on a vector error correction model we produce conditional euro area inflation forecasts. We use real-time data on M3 and HICP, and include real GPD, the 3-month EURIBOR and the 10-year government bond yield as control variables. Real money growth and the term spread enter the system as stationary linear combinations. Missing and outlying values are substituted by model-based estimates using all available data information. In general, the conditional inflation forecasts are consistent with the European Central Bank's assessment of liquidity conditions for future inflation prospects. The evaluation of inflation forecasts under different monetary scenarios reveals the importance of keeping track of money growth rate in particular at the end of 2005. Copyright © 2009 John Wiley & Sons, Ltd.

Zeugner S.,Roosevelt University | Feldkircher M.,Oesterreichische Nationalbank
Journal of Statistical Software | Year: 2015

This article describes the BMS (Bayesian model sampling) package for R that implements Bayesian model averaging for linear regression models. The package excels in allowing for a variety of prior structures, among them the “binomial-beta” prior on the model space and the so-called “hyper-g” specifications for Zellner's g prior. Furthermore, the BMS package allows the user to specify her own model priors and offers a possibility of subjective inference by setting “prior inclusion probabilities” according to the researcher's beliefs. Furthermore, graphical analysis of results is provided by numerous built-in plot functions of posterior densities, predictive densities and graphical illustrations to compare results under different prior settings. Finally, the package provides full enumeration of the model space for small scale problems as well as two efficient MCMC (Markov chain Monte Carlo) samplers that sort through the model space when the number of potential covariates is large. © 2015, American Statistical Association. All rights reserved.

Feldkircher M.,Oesterreichische Nationalbank
Journal of Forecasting | Year: 2012

In this study we evaluate the forecast performance of model-averaged forecasts based on the predictive likelihood carrying out a prior sensitivity analysis regarding Zellner's g prior. The main results are fourfold. First, the predictive likelihood does always better than the traditionally employed 'marginal' likelihood in settings where the true model is not part of the model space. Secondly, forecast accuracy as measured by the root mean square error (RMSE) is maximized for the median probability model. On the other hand, model averaging excels in predicting direction of changes. Lastly, g should be set according to Laud and Ibrahim (1995: Predictive model selection. Journal of the Royal Statistical Society B 57: 247-262) with a hold-out sample size of 25% to minimize the RMSE (median model) and 75% to optimize direction of change forecasts (model averaging). We finally apply the aforementioned recommendations to forecast the monthly industrial production output of six countries, beating for almost all countries the AR(1) benchmark model. Copyright © 2011 John Wiley & Sons, Ltd.

Leibrecht M.,Austrian Institute of Economic Research | Riedl A.,Oesterreichische Nationalbank
Journal of International Trade and Economic Development | Year: 2014

Based on a spatially augmented gravity model, the current paper isolates spatial interrelationships in foreign direct investment (FDI) to Central and Eastern European Countries (CEECs) not only across the destination but also across the origin country dimension of FDI. Results show that (i) spatial interrelationships across destination countries are present and are consistent with the predominance of vertical-complex FDI in total FDI; (ii) spatial correlation across origin countries is given in earlier years of transition, while spillover and competition effects cancel over the whole sample period; and (iii) agglomeration forces gain in importance for FDI to CEECs. © 2013, © 2013 Taylor & Francis.

Fessler P.,Oesterreichische Nationalbank | Rehm M.,Chamber of Labour Vienna | Tockner L.,Chamber of Labour Vienna
Urban Studies | Year: 2016

We estimate non-cash income from owner-occupied housing, subsidised rental housing, and free use of the main residence, and evaluate their impact on the household income distribution and selected inequality measures. We use a novel data set that provides inter-subjective information on housing quality, thus eschewing selection problems. We confirm the standard finding in the literature that imputed rents accruing to home owners have an equalising effect on the distribution of income and find similar evidence for non-cash income from subsidised rents. Whereas imputed rents equalise the upper part of the income distribution, subsidised housing has an equalising effect on the lower part of the income distribution. Overall, the effect of non-cash income from owner-occupied housing clearly dominates the distributional effects, which translates into a combined effect of around 13% higher equivalised household income for the bottom half and around 8% for the upper half of the distribution. Our data provide us with two rare opportunities: to distinguish between council and cooperative housing, and to apply all three approaches used to calculate imputed rents for owner-occupiers: the capital-, the self-assessment and the equivalent rent approach. We find that using the equivalent rent approach leads to the strongest reduction in income inequality. This suggests that, while the inequality reducing effects of imputed rents are robust, they might be overestimated in the literature. © 2015, © Urban Studies Journal Limited 2015.

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