Does financial development shield countries from the pass-through of financial shocks to real outcomes? We evaluate this question by characterising the probability density of expected GDP growth conditional on financial stability indicators in a panel of 28 countries. Our robust results unveil a non-linear nexus between financial stability and expected GDP growth, depending on countries’ degree of financial development. While both domestic and global financial factors affect expected growth, the effect of global factors is moderated by financial development. This result highlights a previously unexplored channel trough which financial development can break the link between financial (in)stability and GDP growth.

We study whether government subsidies can stimulate bank funding of marginal investment projects and the associated effect on financial stability. We do so by exploiting granular project-level information for the largest regional economic development programme in Germany since 1997: the Improvement of Regional Economic Structures programme (GRW). By combining the universe of subsidised firms to virtually all German local banks over the period 1998-2019, we test whether this large-scale transfer programme destabilised regional credit markets. Because GRW subsidies to firms are destabilised at the EU level, we can use it as an exogenous shock to identify bank responses. On average, firm subsidies do not affect bank lending, but reduce banks’ distance to default. Average effects conflate important bank-level heterogeneity though. Conditional on various bank traits, we show that well capitalised banks with more industry experience expand lending when being exposed to subsidised firms without exhibiting more risky financial profiles. Our results thus indicate that stable banks can act as an important facilitator of regional economic development policies. Against the backdrop of pervasive transfer payments to mitigate Covid-19 losses and in light of far-reaching transformation policies required to green the economy, our study bears important implications as to whether and which banks to incorporate into the design of transfer Programmes.

Die Bundesregierung plant, mit dem Zweiten Nachtragshaushalt 2021 dem Energie- und Klimafonds eine Rücklage in Höhe von 60 Mrd. Euro zuzuführen. Die Mittel sollen in den Folgejahren in Investitionen in den Klimaschutz und die Transformation der Wirtschaft fließen und zugleich gesamtwirtschaftliche Folgekosten der Pandemie verringern. Diese pandemiebedingten Einbußen sind auch in der mittleren Frist erheblich. Zwar dürften Nachholeffekte beim privaten Konsum die im Jahr 2021 noch deutliche Unterauslastung bis zum Jahr 2024 vollständig verschwinden lassen. Jedoch liegt das Produktionspotenzial in den kommenden Jahren mehr als 1,5% unter dem Ende 2019 vom IWH prognostizierten Wert, vor allem wegen eines geringeren Arbeitsangebots, unter anderem aufgrund deutlich niedrigerer Zuwanderung von Arbeitskräften. Die Investitionen sind gemäß aktueller Mittelfristprojektion im Jahr 2024 ebenfalls noch deutlich niedriger. Die Effekte des Nachtragshaushalts auf Investitionstätigkeit und Produktion lassen sich mit Hilfe des finanzpolitischen Simulationsmodells des IWH abschätzen. Die beabsichtigten Mehrausgaben dürften auf dem Höhepunkt ihrer Wirksamkeit im Jahr 2024 die gesamtwirtschaftliche Aktivität um etwa 0,5% steigern. Allerdings werden die zusätzlichen Investitionen die seit Pandemiebeginn ausgebliebene Investitionstätigkeit bei Weitem nicht kompensieren können. Eine Bewertung des Nachtragshaushals hat die positiven gesamtwirtschaftlichen Effekte zusätzlicher Investitionen und die negativen Effekte auf die Glaubwürdigkeit der Schuldenbremse gegeneinander abzuwägen.

We use secondary corporate loan-market prices to construct a novel loan-market-based credit spread. This measure has considerable predictive power for economic activity across macroeconomic outcomes in both the U.S. and Europe and captures unique information not contained in public market credit spreads. Loan-market borrowers are compositionally different and particularly sensitive to supply-side frictions as well as financial frictions that emanate from their own balance sheets. This evidence highlights the joint role of financial intermediary and borrower balance-sheet frictions in understanding macroeconomic developments and enriches our understanding of which type of financial frictions matter for the economy.

Asset prices are a valuable source of information about financial market participants' expectations about key macroeconomic variables. However, the presence of time-varying risk premia requires an adjustment of market prices to obtain the market's rational assessment of future price and policy developments. This paper reviews empirical approaches for recovering market-based expectations. It starts by laying out the two canonical modeling frameworks that form the backbone for estimating risk premia and highlights the proliferation of risk pricing factors that result in a wide range of different asset-price-based expectation measures. It then describes a key methodological innovation to evaluate the empirical plausibility of risk premium estimates and to identify the most accurate market-based expectation measure. The usefulness of this general approach is illustrated for price expectations in the global oil market. Then, the paper provides an overview of the body of empirical evidence for monetary policy and inflation expectations with a special emphasis on market-specific characteristics that complicate the quest for the best possible market-based expectation measure. Finally, it discusses a number of economic applications where market expectations play a key role for evaluating economic models, guiding policy analysis, and deriving shock measures.

We study how financing non-traditional local activities, conceived here as a proxy for activity diversification, is associated with economic growth. We use municipality-level data from Brazil, a country with large geographical, social, and economic disparities observed across its more than 5500 municipalities. We find that finance to non-traditional local activities associates with higher municipal economic growth, suggesting a positive externality between the non-traditional and traditional sectors. Using large natural disasters in Brazil as sources of unexpected negative events, we find that this association between financing non-traditional local activities and economic growth becomes negative in times of distress. We find that traditional local sectors are more affected than non-traditional sectors following a natural disaster. Precisely because of the non-traditional sector’s dependence on the traditional sector, our results suggest that municipalities should restrengthen their traditional activities during adverse conditions.

My dissertation consists of three studies, all viewing aggregate productivity as driven by the individual decisions of firms and the inventors that work for them. I use microeconometric analysis to study why firms innovate and economic theory to link these decisions to macroeconomic outcomes. The first paper in this dissertation studies how German manufacturing firms adjust their productivity in response to an increase in competition from foreign markets. German firms only increase their productivity if their new competitors come from other industrialized economies. This productivity increase is not driven by innovation. Instead, firms cut input expenses and prices while maintaining their output. The second paper traces the matching decisions of firms and inventors on the labor markets of developed economies. It adapts empirical techniques used in labor economics to this special segment of the labor market and shows that assortative matching has been increasing from 1974 to 2012: High quality inventors go to high quality firms more often than was the case in previous decades. This cannot be explained by changes in the patent invention function: The productivity of a match between a firm and an inventor of constant quality remains roughly unchanged. The third paper develops an endogenous growth model with inventor labor markets and two types of innovation: disruptive inventions that change the underlying technology of firms’ products and incremental improvements over existing products. Firms acquire expertise in certain technologies by hiring the inventors who are experts in these fields. This gives them a strong incentive to prevent disruptive inventions: If the underlying technology changes, their investment in these inventors becomes worthless. Large firms inhibit aggregate growth by poaching inventors from firms engaged in disruptive innovation.

We provide an overview of productivity development and other related indicators in Asia and Pacific (APAC) countries, with comparisons with the Europe region. We use the seventh vintage firm-level data from the Productivity Research Network in the APAC region and CompNet in Europe for our study. The overall results show that the productivity growth in developed APAC countries (Australia, New Zealand, and the Republic of Korea) is significantly ahead of the growth in developing APAC countries (India and the People’s Republic of China) and on par with the EU’s growth. There is an ongoing process of bottom firms catching up with top firms in the Republic of Korea and the richest EU countries. Regarding employment and labor skills, employment growth has generally been quite stagnant in all regions. Labor skills, for which we use the wage premium as a proxy, are quite similar across most regions, with the richest EU countries showing a higher premium than the rest. Our test of the productivity–employment link indicates that the size of employment tends to have a greater impact on productivity in APAC countries, while labor skills have greater emphasis in the EU.

This paper investigates the relative importance of microfinance institutions (MFIs) at both the macro (financial development, economic growth, income inequality, and poverty) and micro levels (efficiency of traditional commercial banks). We observe a significant impact on most of the fronts. MFIs’ participation increases overall savings (total bank deposits) and credit allocation (loans to private sector) in the economy. Their involvement enhances economic welfare by reducing income inequality and poverty. Additionally, their active presence helps to discipline the traditional commercial banks by subjecting them to more competition triggering higher efficiency.

Climate change projections show that the average global temperature will very likely increase further. Policymakers need to implement suitable mitigation policy measures. This thesis uses dynamic general equilibrium models (DGEs) to analyse the potential economic effects of mitigation policy. Chapter 2 documents the forecasting performance of standardly estimated macroeconomic models and compare them to extended versions. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of macroeconomic models. Chapter 3 studies potential economic consequences of a coal phase-out in Germany, using a spatial dynamic general equilibrium model. A phase-out until 2035 is not worse in terms of welfare compared to a coal exit until 2040. Chapter 4 develops a dynamic stochastic general equilibrium (DSGE) model with risky capital and oil as production factors. The contribution of financial market frictions and oil market disturbances to the US business cycle are low. An oil tax increase, to reduce crude oil consumption by 10% can cause a contraction of GDP by 1 to 2%.