Inflation risk and heterogeneous trading down

I examine how households adjust the quality of their purchases in response to adverse economic shocks. Using household scanner data from Germany, I document heterogeneous responses across income levels. Higher-income households tend to reduce the quality of the goods they purchase, whereas lower-income households, who typically consume lower-quality goods, show a limited propensity to trade down, likely due to a limited ability to do so. To assess the equilibrium effects of an aggregate shift in demand toward lower-quality varieties, I implement a shift-share research design.

Walking the talk? Green politicians and pollution patterns

Exploiting three decades of detailed regional data for Germany, we find that when the Green Party is successful at the polls, local hazardous emissions decline. The level of political representation matters, too. Green politicians’ gaining influence at county level is followed largely by a decline in air pollutants that have an immediate adverse health effect. In contrast, when the Green party joins the state government, only greenhouse gas emissions that affect the welfare of future generations via climate change decline.

The complex linkages between euro area insurers and sovereign bond markets

Euro area insurers manage several trillion euro in assets and take a long‑term investment perspective. To counteract the long period of low interest rates, they have shifted towards holding more alternative and less liquid assets. As a result, their balance sheets have become less liquid and more sensitive to market conditions overall. Meanwhile, their holdings of sovereign bonds show a significant home bias, which may have even increased with quantitative easing.

Labor supply response to windfall gains

Using a large survey of euro area consumers, we conduct an experiment in which respondents report how they would adjust their labor market participation, hours worked, and job search effort (if not employed) in response to randomly assigned windfall gain scenarios. Windfall gains reduce labor supply, but only when the gains are substantial. At the extensive margin, gains of €25,000 or less have no effects, while gains between €50,000 and €100,000 reduce the probability of working by 1.5 to 3.5 percentage points.

The fiscal sources of euro area inflation through the lens of the Bernanke-Blanchard model

We estimate the contribution of discretionary fiscal policy measures to euro area inflation in the post-pandemic era using an extension of Bernanke and Blanchard (2024b)’s semi-structural model. Since the pandemic, aggregate discretionary fiscal measures had a modest yet progressively increasing positive contribution to inflation that partly worked through an indirect effect on wage growth and inflation expectations. However, net indirect taxes helped to contain inflationary pressures, both during the pandemic and energy crises.

Supply chain decoupling in green products: a granular input-output analysis

This paper introduces a novel methodology to enhance the granularity of Inter-Country Input-Output (ICIO) tables. While our general methodology can be applied to any products of interest, we show that the well-documented distortions caused by sectoral aggregation in ICIO tables are particularly pronounced for products with a low substitutability, such as those essential to the green transition (e.g. electric batteries, rare earths). We therefore apply our framework to construct a disaggregated ICIO table that singles out 129 products essential to the energy transition.

Joining forces: why banks syndicate credit

Banks can grant loans to firms bilaterally or in syndicates. We study this choice by combining bilateral loan data with syndicated loan data. We show that loan size alone does not adequately explain syndication. Instead, banks’ ability to manage risks and firm riskiness drive the choice to syndicate. Banks are more likely to syndicate loans if their risk-bearing capacity is low and if screening and monitoring come at a high cost. Syndicated loans are more expensive and more sensitive to loan risk than bilateral loans.

A machine learning approach to real time identification of turning points in monetary aggregates M1 and M3

Monetary aggregates provide valuable information about the monetary policy transmission and the business cycle. This paper applies machine learning methods, namely Learning Vector Quantisation (LVQ) and its distinction-sensitive extension (DSLVQ), to identify turning points in euro area M1 and M3. We benchmark performance against the Bry–Boschan algorithm and standard classifiers. Our results show that LVQ detects M1 turning points with only a three-month delay, halving the six-month confirmation lag of Bry–Boschan dating.

Repo collateral reuse and liquidity windfalls

Collateral reuse in repo markets helps entities meet short-term funding needs, maintain market efficiency, and anchor collateral valuations, although it creates risks through interconnectedness. A prominent view in the literature is that securities dealers use their market position to obtain temporary free-cash wedges from differences in collateral requirements when reusing collateral, so-called “liquidity windfalls”. By affecting dealers’ funding structures, such windfalls could influence yield curve determination, leverage, and monetary policy transmission.

Monetary policy transmission through cross-selling banks

Banks trade off short-term losses on deposits against long-term profits from cross-selling other products to new depositors. This strategy is especially attractive when policy rates are low and future sales are more valuable. Therefore, deposit rates move less than policy rates: banks keep them relatively higher when policy rates fall, and relatively lower when policy rates rise. As returns on other financial assets follow policy rates more closely, this makes deposits relatively less attractive for depositors at higher policy rates.

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