In this paper we develop an open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model -- the Halle Economic Projection Model (HEPM) -- is closely related to studies published by Carabenciov et al. Our main contribution is that we model the Euro area countries separately. In doing so, we consider Germany, France, and Italy which represent together about 70 percent of Euro area GDP. The model combines core equations of the New-Keynesian standard DSGE model with empirically useful ad-hoc equations. We estimate this model using Bayesian techniques and evaluate the forecasting properties. Additionally, we provide an impulse response analysis and a historical shock decomposition.

This paper uses panel data to show that capital controls have a significant impact on international interest rate differentials. Various types of controls can be distinguished within the data. The analysis shows that the aforementioned effects of capital controls on interest rates are especially strong in the case of capital import controls on portfolio capital; the implementation of these controls has been suggested in the wake of the Asian Crisis to prevent further crises. The results presented herein contradict the hypothesis that capital controls can achieve a restructuring of the maturity of capital inflows without a distortion in international capital allocation.

Loan rates for seemingly identical borrowers often exhibit substantial dispersion. This paper investigates the determinants of the dispersion in interest rates on loans granted by banks to small and medium sized enterprises. We associate this dispersion with the loan officers’ use of “discretion” in the loan rate setting process. We find that “discretion” is most important if: (i) loans are small and unsecured; (ii) firms are small and opaque; (iii) the firm operates in a large and highly concentrated banking market; and (iv) the firm is distantly located from the lender. Consistent with the proliferation of information-technologies in the banking industry, we find a decreasing role for “discretion” over time in the provision of small credits to opaque firms. While widely used in the pricing of loans, “discretion” plays only a minor role in the decisions to grant loans.

This article seeks to make an assessment of estimation uncertainty in a multi-rating class loan portfolio. Relationships are established between estimation uncertainty and parameters such as probability of default, intra- and inter-rating class correlation, degree of inhomogeneity, number of rating classes used, number of debtors and number of historical periods used for parameter estimations. In addition, by using an exemplary portfolio based on Moody’s ratings, it becomes clear that estimation uncertainty does indeed have an effect on interest rates.

This study deals with the question whether the central banks of Sweden, Denmark and the UK can really influence short-term money markets and thus, would lose this influence in case of Euro adoption. We use a GARCH-M-GED model with daily money market rates. The model reveals the co-movement between the Euribor and the shortterm interest rates in these three countries. A high degree of co-movement might be seen as an argument for a weak impact of the central bank on its money markets. But this argument might only hold for tranquil times. Our approach reveals, in addition, whether there is a specific reaction of the money markets in turbulent times. Our finding is that the policy of the European Central Bank (ECB) has indeed a significant impact on the three money market rates, and there is no specific benefit for these countries to stay outside the Euro area. However, the GARCH-M-GED model further reveals risk divergence and unstable volatilities of risk in the case of adverse monetary shocks to the economy for Sweden and Denmark, compared to the Euro area. We conclude that the danger of adverse monetary developments cannot be addressed by a common monetary

policy for these both countries, and this can be seen as an argument to stay outside the Euro area.

Mittels der hier erstmals vorgestellten IWH-Indikatoren zur Beschreibung der Regulierungsintensität internationaler Kapitalmärkte ist es möglich, Kapitalverkehrskontrollen künftig mit ökonometrischen Verfahren zu evaluieren. Der Datensatz deckt über 150 Länder und einen Zeitraum von bisher 13 Jahren (1997 bis 2009) ab. Er unterscheidet Kapitalverkehrskontrollen nicht nur nach ihrer Intensität, sondern auch nach der Richtung (Zufluss oder Abfluss) der regulierten Kapitalströme. So kann den unterschiedlichen Folgen von Kapitalmarktpolitik Rechnung getragen werden, je nachdem, ob sie durch Zuflusskontrollen dem Aufbau riskanter Außenpositionen entgegenwirken möchte, oder ob sie – wesentlich weiter verbreitet – auf eine Erhöhung des heimischen

Kapitalangebots abzielt. Die explizite Berücksichtigung von diskretionären Entscheidungsspielräumen gestattet es darüber hinaus, auch die institutionelle Ausgestaltung von Kapitalverkehrskontrollen in die empirische Analyse

einzubeziehen. Erste Auswertungen der Indikatoren zeigen in der Folge der Finanz- und Wirtschaftskrise eine weltweite Renaissance der Regulierung grenzüberschreitender Kapitalströme. Der Anteil regulierter Teilmärkte ist von 2007 bis 2009 global um ca. zehn Prozentpunkte angestiegen. Kapitalimporte und -exporte sind dabei in ähnlicher Form betroffen. Der Anstieg der Kontrollintensität geht nicht auf massive Eingriffe einzelner Staaten zurück, sondern ist

über alle betrachteten Ländergruppen hinweg zu beobachten. Teilweise, wie z. B. in den Transformationsökonomien des früheren Warschauer Paktes, wurden viele Jahre der Liberalisierungsanstrengungen in kurzer Zeit kompensiert. Diese Entwicklung ist insofern bedenklich, als dass sich theoretische Überlegungen bezüglich Kapitalverkehrskontrollen stark widersprechen und auch keine empirische Evidenz vorliegt, die eine solche Politik rechtfertigt.

The present paper compares expected inflation to (econometric) inflation forecasts based on a number of forecasting techniques from the literature using a panel of ten industrialized countries during the period of 1988 to 2007. To capture expected inflation, we develop a recursive filtering algorithm which extracts unexpected inflation from real interest rate data, even in the presence of diverse risks and a potential Mundell-Tobin-effect.

The extracted unexpected inflation is compared to the forecasting errors of ten

econometric forecasts. Beside the standard AR(p) and ARMA(1,1) models, which

are known to perform best on average, we also employ several Phillips curve based approaches, VAR, dynamic factor models and two simple model avering approaches.

Am 14. und 15. Februar 2011 fand am IWH erstmalig in Zusammenarbeit mit dem International Network for Economic Research (INFER) der Workshop „Applied Economics and Economic Policy“ statt. Wissenschaftlerinnen und Wissenschaftler europäischer Universitäten und internationaler Organisationen stellten einem breiten Publikum neueste Forschungsergebnisse zu aktuellen ökonomischen Fragen und Problemen vor. Der Workshop richtete sich neben einem wissenschaftlichen Publikum vor allem auch an Mitarbeiterinnen und Mitarbeiter internationaler Organisationen, wie beispielsweise der Europäischen Kommission und der Europäischen Zentralbank (EZB), sowie der verschiedenen Ministerien, wie z. B. der Wirtschaftsministerien. Ziel der Veranstaltung war es somit, nicht nur aktuelle Forschungsergebnisse vorzustellen, sondern auch mit Vertretern aus Wissenschaft und Praxis über aktuelle Wirtschaftspolitik und über das Spezialthema „The Empirics of Imbalances and Disequilibria“

zu diskutieren. Mit Lorenzo Bini Smaghi, Mitglied des Direktoriums der EZB, und Martin Hallet aus der Generaldirektion Wirtschaft und Finanzen der Europäischen Kommission konnten zwei hochrangige Vertreter aus den politischen Institutionen als Keynote-Speaker gewonnen werden.

Our baseline scenario for the world economy in 2011 and 2012 is a continuation of the upswing, because growth dynamics continue to be high in emerging economies, monetary policy will in general continue to be expansive, and the factors that dampen the recovery in many advanced economies are slowly declining. There are two main downward risks for this prospect: first, low interest rates and high growth might drive commodity prices to disruptive levels. Second, waning confidence in financial markets might enhance volatility and enforce further extensivemeasures of consolidation in advanced economies.

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.