This paper examines the properties of qualitative inflation expectations collected from economic experts for Germany. It describes their characteristics relating to rationality and Granger causality. An out-of-sample simulation study investigates whether this indicator is suitable for inflation forecasting. Results from other standard forecasting models are considered and compared with models employing survey measures. We find that a model using survey expectations outperforms most of the competing models. Moreover, we find some evidence that the survey indicator already contains information from other model types (e. g. Phillips curve models). However, the forecast quality may be further improved by completely taking into account information from some financial indicators.

The paper is a methodological report on the IWH-FDI-Micro Database of the year 2009. It contains a motivation of the research questions and describes the availability of existing data sources on multinational affiliates in transition economies. In its core it describes the population, survey sampling and implementation, in depth information on the survey representativeness, and questionnaire design. The 2009 survey covers multinationals affiliates in manufacturing and selected services of Hungary, Czech Republic, Poland, Romania, Slovakia, and East Germany.

The paper is a methodological report on the IWH-FDI-Micro Database of the year 2010. It contains a motivation of the research questions and describes the availability of existing data sources on multinational affiliates in transition economies. In its core it describes the population, survey sampling and implementation, in depth information on the survey representativeness, and questionnaire design. The 2010 survey covers multinationals affiliates in manufacturing and selected services of East Germany.

The paper is a methodological report on the IWH-FDI-Micro Database of the year 2008. It contains a motivation of the research questions and describes the availability of existing data sources on multinational affiliates in transition economies. In its core it describes the population, survey sampling and implementation, in depth information on the survey representativeness, and questionnaire design. The 2008 survey covers multinationals affiliates in manufacturing and selected services of East Germany.

The paper is a methodological report on the IWH-FDI-Micro Database of the year 2007. It contains a motivation of the research questions and describes the availability of existing data sources on multinational affiliates in transition economies. In its core it describes the population, survey sampling and implementation, in depth information on the survey representativeness, and questionnaire design. The 2007 survey covers multinationals affiliates in manufacturing of Croatia, Poland, Romania, Slovenia East Germany.

There is growing consensus that the conduct of monetary policy can have an impact on financial and economic stability through the risk-taking incentives of banks. Falling interest rates might induce a “search for yield” and generate incentives to invest into risky activities. This paper provides evidence on the link between monetary policy and commercial property prices and the risk-taking incentives of banks. We use a factor-augmented vector autoregressive model (FAVAR) for the U.S. for the years 1997-2008. We include standard macroeconomic indicators and factors summarizing information provided in the Federal Reserve’s Survey of Terms of Business Lending. These data allow modeling the reactions of banks’ new lending volumes and the riskiness of new loans. We do not find evidence for a risk-taking channel for the entire banking system after a monetary policy loosening or an unexpected increase in property prices. This masks, however, important differences across banking groups. Small domestic banks increase their exposure to risk, foreign banks lower risk, and large domestic banks do not change their risk exposure.

This paper analyses the recession in 2008/2009 in Germany, which is very different from previous recessions, in particular regarding its cause and magnitude. We show to what extent forecasters and forecasts based on leading indicators fail to detect the timing and the magnitude of the recession. This study shows that large forecast errors for both expert forecasts and forecasts based on leading indicators resulted during this recession which implies that the recession was very difficult to forecast. However, some leading indicators (survey data, risk spreads, stock prices) have indicated an economic downturn and hence, beat univariate time series models. Although the combination of individual forecasts provides an improvement compared to the benchmark model, the combined forecasts are worse than several individual models. A comparison of expert forecasts with the best forecasts based on leading indicators shows only minor deviations. Overall, the range for an improvement of expert forecasts during the crisis compared to indicator forecasts is relatively small.

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.

This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown, Durbin, and Evans (1975) and Zeileis (2004), Nyblom (1989) and Hansen (1992), and Andrews, Lee, and Ploberger (1996). Power and size properties are derived using Monte Carlo simulations. Results emphasize that mostly the CUSUM type tests are affected by the presence of heteroscedasticity, whereas the individual parameter Nyblom test and AvgLM test are proved to be highly robust. However, each test is significantly affected by leptokurtosis. Contrarily to other tests, where skewness is far more problematic than kurtosis, it has no additional effect for any of the endogenous break tests we analyze. Concerning overall robustness the Nyblom test performs best, while being almost on par to more recently developed tests in terms of power.

This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown, Durbin, and Evans (1975) and Zeileis (2004), Nyblom (1989) and Hansen (1992), and Andrews, Lee, and Ploberger (1996). Power and size properties are derived using Monte Carlo simulations. Results emphasize that mostly the CUSUM type tests are affected by the presence of heteroscedasticity, whereas the individual parameter Nyblom test and AvgLM test are proved to be highly robust. However, each test is significantly affected by leptokurtosis. Contrarily to other tests, where skewness is far more problematic than kurtosis, it has no additional effect for any of the endogenous break tests we analyze. Concerning overall robustness the Nyblom test performs best, while being almost on par to more recently developed tests in terms of power.