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This note reviews the legal issues and concerns that are likely to play an important role in the ongoing deliberations of the Federal Constitutional Court of Germany concerning the legality of ECB government bond purchases such as those conducted in the context of its earlier Securities Market Programme or potential future Outright Monetary Transactions.
This paper summarizes key elements of the German Federal Constitutional Court’s decision on the European Central Bank’s Public Sector Asset Purchase Programme. It briefly explains how it is possible for the German Court to disagree with the ruling of the Court of Justice of the European Union. Finally, it makes suggestions concerning a practical way forward for the Governing Council of the ECB in light of these developments.
This paper empirically investigates how organizational hierarchy affects the allocation of credit within a bank. Using an exogenous variation in organizational design, induced by a reorganization plan implemented in roughly 2,000 bank branches in India during 1999-2006, and employing a difference-in-differences research strategy, we find that increased hierarchization of a branch decreases its ability to produce "soft" information on loans, leads to increased standardization of loans and rationing of "soft information" loans. Furthermore, this loss of information brings about a reduction in performance on loans: delinquency rates and returns on similar loans are worse in more hierarchical branches. We also document how hierarchical structures perform better in environments that are characterized by a high degree of corruption, thus highlighting the benefits of hierarchical decision making in restraining rent seeking activities. Finally, we document a channel - managerial interference - through which hierarchy affects loan outcomes.
In the euro area, monetary policy is conducted by a single central bank for 20 member countries. However, countries are heterogeneous in their economic development, including their inflation rates. This paper combines a New Keynesian model and a neural network to assess whether the European Central Bank (ECB) conducted monetary policy between 2002 and 2022 according to the weighted average of the inflation rates within the European Monetary Union (EMU) or reacted more strongly to the inflation rate developments of certain EMU countries.
The New Keynesian model first generates data which is used to train and evaluate several machine learning algorithms. They authors find that a neural network performs best out-of-sample. They use this algorithm to generally classify historical EMU data, and to determine the exact weight on the inflation rate of EMU members in each quarter of the past two decades. Their findings suggest disproportional emphasis of the ECB on the inflation rates of EMU members that exhibited high inflation rate volatility for the vast majority of the time frame considered (80%), with a median inflation weight of 67% on these countries. They show that these results stem from a tendency of the ECB to react more strongly to countries whose inflation rates exhibit greater deviations from their long-term trend.
The recent sovereign debt crisis in the Eurozone was characterized by a monetary policy, which has been constrained by the zero lower bound (ZLB) on nominal interest rates, and several countries, which faced high risk spreads on their sovereign bonds. How is the government spending multiplier affected by such an economic environment?While prominent results in the academic literature point to high government spending multipliers at the ZLB, higher public indebtedness is often associated with small government spending multipliers. I develop a DSGE model with leverage constrained banks that captures both features of this economic environment, the ZLB and fiscal stress. In this model, I analyze the effects of government spending shocks. I find that not only are multipliers large at the ZLB, the presence of fiscal stress can even increase their size. For longer durations of the ZLB,multipliers in this model can be considerably larger than one.
JEL Classification: E32, E 44, E62
I have assessed changes in the monetary policy stance in the euro area since its inception by applying a Bayesian time-varying parameter framework in conjunction with the Hamiltonian Monte Carlo algorithm. I find that the estimated policy response has varied considerably over time. Most of the results suggest that the response weakened after the onset of the financial crisis and while quantitative measures were still in place, although there are also indications that the weakening of the response to the expected inflation gap may have been less pronounced. I also find that the policy response has become more forceful over the course of the recent sharp rise in inflation. Furthermore, it is essential to model the stochastic volatility relating to deviations from the policy rule as it materially influences the results.
The Federal Reserve has been publishing federal funds rate prescriptions from Taylor rules in its Monetary Policy Report since 2017. The signals from the rules aligned with Fed action on many occasions, but in some cases the Fed opted for a different route. This paper reviews the implications of the rules during the coronavirus pandemic and the subsequent inflation surge and derives projections for the future.
In 2020, the Fed took the negative prescribed rates, which were far below the effective lower bound on the nominal interest rate, as support for extensive and long-lasting quantitative easing. Yet, the calculations overstate the extent of the constraint, because they neglect the supply side effects of the pandemic.
The paper proposes a simple model-based adjustment to the resource gap used by the rules for 2020. In 2021, the rules clearly signaled the need for tightening because of the rise of inflation, yet the Fed waited until spring 2022 to raise the federal funds rate. With the decline of inflation over the course of 2023, the rules’ prescriptions have also come down. They fall below the actual federal funds rate target range in 2024. Several caveats concerning the projections of the interest rate prescriptions are discussed.
In this paper we investigate the comparative properties of empirically-estimated monetary models of the U.S. economy using a new database of models designed for such investigations. We focus on three representative models due to Christiano, Eichenbaum, Evans (2005), Smets and Wouters (2007) and Taylor (1993a). Although these models differ in terms of structure, estimation method, sample period, and data vintage, we find surprisingly similar economic impacts of unanticipated changes in the federal funds rate. However, optimized monetary policy rules differ across models and lack robustness. Model averaging offers an effective strategy for improving the robustness of policy rules.
Recently there has been an explosion of research on whether the equilibrium real interest rate has declined, an issue with significant implications for monetary policy. A common finding is that the rate has declined. In this paper we provide evidence that contradicts this finding. We show that the perceived decline may well be due to shifts in regulatory policy and monetary policy that have been omitted from the research. In developing the monetary policy implications, it is promising that much of the research approaches the policy problem through the framework of monetary policy rules, as uncertainty in the equilibrium real rate is not a reason to abandon rules in favor of discretion. But the results are still inconclusive and too uncertain to incorporate into policy rules in the ways that have been suggested.
During the 1970s, industrial countries, including the US and continental Europa, experienced a combination of slow productivity growth and high unemplyoment. Subsequent research has shown that the standard model of unemployment actually gives counterfactual predictions. Motivated by the observation that the 1970s were also characterized by high and rising inflation, Tesfaselassie and Wolters examine the effect of growth on unemployment in the presence of nominal price rigidity.
The authors demonstrate that the effect of growth on unemployment may be positive or negative. Faster growth leads to lower unemployment if the rate of inflation is high enough. There is a threshold level of inflation below which faster growth leads to higher unemployment and above which faster growth leads to lower unemployment. The threshold level in turn depends on labor market characteristics, such as hiring efficiency, the job destruction rate, workers' relative bargaining power and the opportunity cost of work.