Social security revenues are influenced by business cycle movements. In order to

support the working of automatic stabilizers it would be necessary to calculate social insurance contribution rates independently from the state of the business cycle. This paper investigates whether European countries set social contribution rates according to such a rule. By means of VAR estimations, country-specific effects can be analyzed – in contrast to earlier studies which used a panel design. As a result, some countries under investigation seem to vary their social contribution rates in a procyclical way.

I show that the price discounts of Chinese cross-listed stocks (American Depositary Receipts (ADRs) and H-shares) to their underlying A-shares indicate the expected yuan/US dollar exchange rate. The forecasting models reveal that ADR and H-share discounts predict exchange rate changes more accurately than the random walk and forward exchange rates, particularly at long forecast horizons. Using panel estimations, I find that ADR and H-share investors form their exchange rate expectations according to standard exchange rate theories such as the Harrod–Balassa–Samuelson effect, the risk of competitive devaluations, relative purchasing power parity, uncovered interest rate parity, and the risk of currency crisis.

Fiscal spending multiplier calculations have been revived in the aftermath of the

global financial crisis. Much of the current literature is based on VAR estimation

methods and DSGE models. The aim of this paper is not a further deepening of

this literature but rather to implement a calculation method of multipliers which is

suitable for open economies like EU member states. To this end, Input-Output tables are used as by this means the import intake of domestic demand components can be isolated in order to get an appropriate base for the calculation of the relevant import quotas. The difference of this method is substantial – on average the calculated multipliers are 15% higher than the conventional GDP fiscal spending multiplier for EU members. Multipliers for specific spending categories are comparably high, ranging between 1.4 and 1.8 for many members of the EU. GDP drops due to budget consolidation might therefore be substantial if monetary policy is not able to react in an expansionary manner.

This dissertation applies the theory of technology accumulation to explain the internationalisation of foreign and West German multinational enterprises (MNEs) into East Germany. This theory shifts the focus from technology transfer to the international diffusion of innovation within the MNE. It rejects the position that all MNEs offer the same technological opportunities to host economies. Yet, most of the existing empirical research on postcommunist transition economies including East Germany applies the traditional technology transfer perspective. Therefore, this dissertation provides a complementary and novel approach. We assume a dynamic interaction between existing location specific technological capabilities within the host country, MNEs’ location choice, their internationalisation of research and development (R&D) and innovation, and the potential for technological spillover effects from MNEs to the host economy. The dissertation exploits information from the IWH FDI micro database on the full population of MNEs that entered East German manufacturing until 2005 and corresponding survey data. Microeconometric estimation results generate a number of novel findings: We can show that existing location specific technological capabilities affect MNEs’ general location choice within East Germany. They are not powerful enough to attract MNEs’ technological activities. Instead, the location of MNEs’ innovation requires the joint presence of technological and industry specialisation within regions, whereas foreign R&D benefits from technological specialisation in combination with a diversified industry structure. Moreover, the location of technological activity differs depending upon the underlying motive for internationalisation. Our findings suggest that the potential for technological externalities from affiliates to local firms is subject to centrally and locally driven technological heterogeneity of MNEs. Existing location specific technological capabilities do not affect the spillover potential. This hints a limited dynamic interaction of ownership and locational advantages in firms’ internationalisation. We derive implications for the technology accumulation theory as well as for various fields of science and technology policy.

The paper investigates strategic motives, technological activities and determinants of foreign investment enterprises’ embeddedness in post-transition economies (Eastern Germany and selected Central East European countries). The empirical study makes use of the IWH FDI micro database. Results of the descriptive analysis of investment motives show that market access dominates over efficiency seeking and other motives. The majority of investors are technologically active in the region as a whole, but countries differ in terms of performance. The probit model estimations show that firm specific characteristics, among them innovativeness and autonomy from parent company, are important determinants of foreign investment enterprises’ embeddedness.

This paper evaluates the New Keynesian Phillips curve (NKPC) and its hybrid variant within a limited information framework for Germany. The main interest resides in the average frequency of price re-optimization by 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 based on the Anderson–Rubin statistic. We find that the German Phillips curve is purely forward-looking. Moreover, our point estimates are consistent with the view that firms re-optimize prices every 2–3 quarters. These estimates seem plausible from an economic point of view. But 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 explanation as to why previous results for the German NKPC based on GMM differ considerably. First, standard GMM results are very sensitive to the way in which orthogonality conditions are formulated. Further, model mis-specifications may be left undetected by conventional J tests. This analysis points out the need for identification robust methods to get reliable estimates for the NKPC.

We develop an evolutionary algorithm to estimate Threshold Vector Error Correction models (TVECM) with more than two cointegrated variables. Since

disregarding a threshold in cointegration models renders standard approaches

to the estimation of the cointegration vectors inefficient, TVECM necessitate a

simultaneous estimation of the cointegration vector(s) and the threshold. As far

as two cointegrated variables are considered this is commonly achieved by a grid

search. However, grid search quickly becomes computationally unfeasible if more

than two variables are cointegrated. Therefore, the likelihood function has to be

maximized using heuristic approaches. Depending on the precise problem structure

the evolutionary approach developed in the present paper for this purpose saves 90 to 99 per cent of the computation time of a grid search.

Neglecting the existence of different technologies in banking can contaminate efficiency, market power, and other performance measures. By simultaneously estimating (i) technology regimes conditional on exogenous factors, (ii) efficiency conditional on risk management, and (iii) Lerner indices of German banks, we identify three distinct technology regimes: Public & Retail, Small & Specialized, and Universal & Relationship. System estimation at the regional level reveals that greater bank market power increases bank profitability but also fosters corporate defaults. Corporate defaults, in turn, lead to higher probabilities of bank distress, which supports the market power-fragility hypothesis.

The paper investigates the existence of fiscal illusion in German municipalities with special focus on the revenues from local public enterprises. These shadow budgets tend to increase the misperception of municipal tax prices and seem to have been neglected in the literature. Therefore, an aggregated expenditure function has been estimated for all German independent cities applying an “integrated budget” approach, which means

that revenues and expenditures of the core budget and the local public enterprises are combined to one single municipal budget. The estimation results suggest that a higher relative share of local public enterprise revenues might increase total per capita spending as well as spending for non-obligatory municipal goods and services. Empirical evidence for other sources of fiscal illusion is mixed but some indications for debt illusion, renter illusion or the flypaper effect could be found.

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.