Die deutsche Konjunktur bleibt aufgrund der starken Binnennachfrage recht kräftig. Im Jahr 2017 wird die Zuwachsrate des Bruttoinlandsprodukts nach der neuen IWH-Prognose 1,3% betragen. Sie fällt damit etwa einen halben Prozentpunkt geringer aus als im Jahr 2016, dies liegt an einer geringeren Anzahl an Arbeitstagen und an einem negativen Wachstumsbeitrag des Außenhandels. Die Verbraucherpreisinflation bleibt mit 1,3% mäßig. Die Arbeitslosigkeit nimmt wohl etwas zu, dazu trägt bei, dass die Integration Geflüchteter in den Arbeitsmarkt langwierig ist.

This paper studies the role of the Community Reinvestment Act (CRA) in the recent US housing boom-bust cycle. Using a difference-in-differences matching estimation, I find that the enhancement of CRA enforcement in 1998 caused a 7.7 percentage points increase in annual growth rate of mortgage lending by CRA-regulated banks to CRA-eligible census tracts relative to a group of similar-income CRA-ineligible census tracts within the same state. Financial institutions which are not subject to the CRA, however, do not show any change in their mortgage supply between these two types of census tracts after 1998. I take advantage of this exogenous shift in mortgage supply within an instrumental variable framework to identify the causal effect of mortgage supply on housing prices. I find that every 1 percentage point higher annual growth rate of mortgage supply leads to 0.3 percentage points higher annual growth rate of housing prices. Reduced form regressions show that CRA-eligible neighborhoods experienced higher house price growth during the boom and sharper decline during the bust period. I use placebo tests to confirm that this effect is in fact channeled through the shift in mortgage supply by CRA-regulated banks and not by unobserved demand factors. Furthermore, my results indicate that CRA-induced mortgages went to borrowers with lower FICO scores, carried higher interest rates, and encountered more frequent delinquencies.

This paper investigates a perception in the political debates as to what extent poor countries are affected by price movements in the global commodity markets. To test this perception, we use the case of India to establish in a standard SVAR model that global food prices influence aggregate prices and food prices in India. To further analyze these empirical results, we specify a small open economy New-Keynesian model including oil and food prices and estimate it using observed data over the period 1996Q2 to 2013Q2 by applying Bayesian estimation techniques. The results suggest that a big part of the variation in inflation in India is due to cost-push shocks and, mainly during the years 2008 and 2010, also to global food price shocks, after having controlled for exogenous rainfall shocks. We conclude that the inflationary supply shocks (cost-push, oil price, domestic food price and global food price shocks) are important contributors to inflation in India. Since the monetary authority responds to these supply shocks with a higher interest rate which tends to slow growth, this raises concerns about how such output losses can be prevented by reducing exposure to commodity price shocks. 

In Deutschland sind die Konjunkturaussichten weiter recht günstig. Stimmungsindikatoren deuten zwar auf ein etwas schwächeres Jahresende hin, die Binnenkonjunktur ist aber weiter aufwärtsgerichtet. Das deutsche Bruttoinlandsprodukt dürfte im Jahr 2016 insgesamt um 1,9% zulegen. Für das Jahr 2017 wird dann mit 1,2% eine niedrigere jahresdurchschnittliche Wachstumsrate erwartet. Maßgeblich dafür sind vor allem schwächere Exporte und stärkere Importe. Die Arbeitslosigkeit dürfte im Zuge der Integration von Geflüchteten in den Arbeitsmarkt etwas steigen. Die Verbraucherpreisinflation bleibt weiterhin moderat. Die öffentlichen Haushalte werden wohl im Jahr 2016 ebenso wie im Jahr 2017 – auch in konjunkturbereinigter Rechnung – Überschüsse erwirtschaften.

In a proposed model of a multinational bank, interest margins determine local lending by foreign affiliates and the internal funding by parent banks. We exploit detailed parent-affiliate-level data of all German banks to empirically test our theoretical predictions in pre-crisis times. Local lending by affiliates depends negatively on price margins, the difference between lending and deposit rates in foreign markets. The effect of funding cost margins, the gap between local deposit rates faced by affiliates abroad and the funding costs of their parents, on internal capital market funding is positive but statistically weak. Interest margins are central to explain the interaction between internal capital markets and foreign affiliates lending.

In this paper, we propose a new method to assess the impact of sovereign ratings on sovereign bond yields. We estimate the impulse response of the interest rate, following a change in the rating. Since ratings are ordinal and moreover extremely persistent, it proves difficult to estimate those impulse response functions using a VAR modeling ratings, yields and other macroeconomic indicators. However, given the highly stochastic nature of the precise timing of ratings, we can treat most rating adjustments as shocks. We thus no longer rely on a VAR for shock identification, making the estimation of the corresponding IRFs well suited for so called local projections – that is estimating impulse response functions through a series of separate direct forecasts over different horizons. Yet, the rare occurrence of ratings makes impulse response functions estimated through that procedure highly sensitive to individual observations, resulting in implausibly volatile impulse responses. We propose an augmentation to restrict jointly estimated local projections in a way that produces economically plausible impulse response functions.