In diesem Artikel wird die Konjunkturprognose des IWH vom 13. Dezember 2012 zusammenfassend dargestellt.

Das IWH ist im Dezember für das Jahr 2012 von einer Zunahme des Bruttoinlandsproduktes in Deutschland von 0,8% ausgegangen. Aktuellere Daten des Statistischen Bundesamtes weisen eine Zunahme um 0,7% aus. Das vierte Quartal 2012 dürfte somit geringfügig schwächer ausgefallen sein als in der Prognose vom Dezember unterstellt. Die Prognose für die Jahre 2013 und 2014 bleibt davon jedoch unberührt. Nach konjunktureller Flaute zum Jahresende 2012 dürfte die Weltwirtschaft im Jahr 2013 wieder frischen Wind in den Segeln verspüren. Ein kräftiger Aufschwung bleibt jedoch aus. Die Konsolidierungsnotwendigkeiten in vielen fortgeschrittenen Volkswirtschaften wirken weiter belastend. Auch die deutsche Wirtschaft wird im Schlussquartal des Jahres 2012 schrumpfen, dann aber wieder Fahrt aufnehmen. Das Bruttoinlandsprodukt legt im Jahr 2013 um 0,7% zu und im Jahr 2014 um 1,5%. Dabei wird die Arbeitslosenquote geringfügig auf 6,7% steigen. Die Verbraucherpreisinflation wird in den Jahren 2013 und 2014 in etwa bei 2% liegen. Der staatliche Finanzierungssaldo wird im Jahr 2013 wieder negativ.

It is widely unclear as to whether start-up firms supported by publicly-initiated incubator initiatives have higher survival rates than comparable start-up firms that have not received support by such initiatives. This paper contributes to the underlying discussion by performing an empirical analysis of the long-term survival of 371 incubator firms (after their graduation) from five German incubators and contrasting these results with the long-term survival of a control group of 371 comparable non-incubated firms. The analysis covers a 10-year time span. To account for the problem of selection bias, a non-parametric matching approach is applied to identify an appropriate control group. For neither of the five incubator locations we find statistically significant higher survival probabilities for firms located in incubators compared to firms located outside those incubator organizations. For three incubator locations the analysis even reveals statistically significant lower chances of survival for those start-ups having received support by an incubator. We therefore arrive at the conclusion that being located in an incubator – contrasting the widespread rhetoric of policy actors and incubator stakeholders – does not increase the chances of long-term business survival.

This paper evaluates the New Keynesian Phillips Curve (NKPC) and its hybrid

variant within a limited information framework for Germany. The main interest rests on the average frequency of price re-optimization of firms. We use the labor income share as the driving variable and consider a source of real rigidity by allowing for a fixed firm-specific capital stock. A GMM estimation strategy is employed as well as an identification robust method that is based upon the Anderson-Rubin statistic. We find out that the German Phillips Curve is purely forward looking. Moreover, our point estimates are consistent with the view that firms re-optimize prices every two to three quarters. While these estimates seem plausible from an economic point of view, the uncertainties around these estimates are very large and also consistent with perfect nominal price rigidity where firms never re-optimize prices. This analysis also offers some explanations why previous results for the German NKPC based on GMM differ considerably. First, standard GMM results are very sensitive to the way how orthogonality conditions are formulated. Additionally, model misspecifications may be left undetected by conventional J tests. Taken together, this analysis points out

the need for identification robust methods to get reliable estimates for the NKPC.