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Policymakers attach an important role to the macroeconomic outlook of households. Using a representative online panel form the U.S., the authors examine how individuals' macroeconomic expectations causally affect their personal economic prospects and their behavior and provide them with different professional forecasts about the likelihood of a recession. The authors find that groups with the largest exposure to aggregate risk, such as individuals working in cyclical industries, are most likely to respond to an improved macroeconomic outlook, while a large fraction of the population is unlikely to react.
Exploiting the natural experiment of the German reunification, we examine how consumers adapt to a new environment in their macroeconomic forecasting. We document that East Germans expect higher in inflation and make larger forecast errors than West
Germans even decades after reunification. Differences in consumption baskets, financial literacy, risk aversion or trust in the central bank cannot fully account for these patterns. We find most support for the explanation that East Germans, who were used to a strong norm of zero inflation, persistently overadjusted the level of their expectations in the face of the initial inflation shock in reunified Germany. Our findings suggest that large changes in the economic environment can permanently impede people's ability to form accurate macroeconomic expectations, with an important role for the interaction of old norms and new experiences around the event.
How demanding and consistent is the 2018 stress test design in comparison to previous exercises?
(2018)
Bank regulators have the discretion to discipline banks by executing enforcement actions to ensure that banks correct deficiencies regarding safe and sound banking principles. We highlight the trade-offs regarding the execution of enforcement actions for financial stability. Following this we provide an overview of the differences in the legal framework governing supervisors’ execution of enforcement actions in the Banking Union and the United States. After discussing work on the effect of enforcement action on bank behaviour and the real economy, we present data on the evolution of enforcement actions and monetary penalties by U.S. regulators. We conclude by noting the importance of supervisors to levy efficient monetary penalties and stressing that a division of competences among different regulators should not lead to a loss of efficiency regarding the execution of enforcement actions.
We present empirical evidence on the heterogeneity in monetary policy transmission across countries with different home ownership rates. We use household-level data together with shocks to the policy rate identified from high-frequency data. We find that housing tenure reacts more strongly to unexpected changes in the policy rate in Germany and Switzerland –the OECD countries with the lowest home ownership rates– compared with existing evidence for the U.S. An unexpected decrease in the policy rate by 25 basis points increases the home ownership rate by 0.8 percentage points in Germany and by 0.6 percentage points in Switzerland. The response of non-housing consumption in Switzerland is less heterogeneous across renters and mortgagors, and has a different pattern across age groups than in the U.S. We discuss economic explanations for these findings and implications for monetary policy.
While the debate about the needs and merits of cryptocurrency regulation is ongoing, the unprecedented price hikes of cryptocurrencies towards the end of 2017 triggered a somewhat unexpected sort of regulation in the form of public statements by governments and financial supervisors. It kicked in rather quickly and turned out to be much more effective than imagined. These interventions can be identified as one of the main factors that drove asset prices down, thereby preventing destabilizing bubbles. The experience of the supervisory response to the cryptocurrency bubble of the past months keeps important insights for any prospective regulation of cryptocurrencies. First, public statements are a highly effective regulatory tool in the short term as they manage market expectations, a fact which is well-known as forward guidance in monetary policy. So far, the legal framework in the EU takes insufficient account of the regulatory role of public statements. Second, regulation needs to keep up with the incredible speed of fintech innovations. Some regulators addressed the challenge by adopting a ‘sandbox’ approach. However, the ‘sandbox’ approach clearly calls for international cooperation. To achieve a balance between safety and innovation, international cooperation should emulate the experimental character of sandboxes. One could conceive of a ‘sandbox for regulators’, an arrangement which would facilitate the exchange of information on regulatory initiatives among authorities but also the coordination of communication and forward guidance.
Germany Inc. was an idiosyncratic form of industrial organization that put financial institutions at the center. This paper argues that the consumption of private benefits in related party transactions by these key agents can be understood as a compensation for their coordinating and monitoring function in Germany Inc. As a consequence, legal tools apt to curb tunneling remained weak in Germany from the perspective of outside shareholders. While banks were in a position to use their firm-level knowledge and influence to limit rent-seeking by other related parties, their own behavior was not subject to meaningful controls. With the dismantling of Germany Inc. banks seized their monitoring function and left an unprecedented void with regard to related party transactions. Hence, a “traditionalist” stance which opposes law reform for related party transactions in Germany negatively affects capital market development, growth opportunities and ultimately social welfare.
The authors relax the standard assumption in the dynamic stochastic general equilibrium (DSGE) literature that exogenous processes are governed by AR(1) processes and estimate ARMA (p,q) orders and parameters of exogenous processes. Methodologically, they contribute to the Bayesian DSGE literature by using Reversible Jump Markov Chain Monte Carlo (RJMCMC) to sample from the unknown ARMA orders and their associated parameter spaces of varying dimensions.
In estimating the technology process in the neoclassical growth model using post war US GDP data, they cast considerable doubt on the standard AR(1) assumption in favor of higher order processes. They find that the posterior concentrates density on hump-shaped impulse responses for all endogenous variables, consistent with alternative empirical estimates and the rigidities behind many richer structural models. Sampling from noninvertible MA representations, a negative response of hours to a positive technology shock is contained within the posterior credible set. While the posterior contains significant uncertainty regarding the exact order, the results are insensitive to the choice of data filter; this contrasts with the authors’ ARMA estimates of GDP itself, which vary significantly depending on the choice of HP or first difference filter.
Even if the importance of micro data transparency is a well-established fact, European institutions are still lacking behind the US when it comes to the provision of financial market data to academics. In this Policy Letter we discuss five different types of micro data that are crucial for monitoring (systemic) risk in the financial system, identifying and understanding inter-linkages in financial markets and thus have important implications for policymakers and regulatory authorities. We come to the conclusion that for all five areas of micro data, outlined in this Policy Letter (bank balance sheet data, asset portfolio data, market transaction data, market high frequency data and central bank data), the benefits of increased transparency greatly offset potential downsides. Hence, European policymakers would do well to follow the US example and close the sizeable gap in micro data transparency. For most cases, relevant data is already collected (at least on national level), but just not made available to academics for partly incomprehensible reasons. Overcoming these obstacles could foster financial stability in Europe and assure level playing fields with US regulators and policymakers.
This paper uses unique administrative data and a quasi-field experiment of exogenous allocation in Sweden to estimate medium- and longer-run effects on financial behavior from exposure to financially literate neighbors. It contributes evidence of causal impact of exposure and of a social multiplier of financial knowledge, but also of unfavorable distributional aspects of externalities. Exposure promotes saving in private retirement accounts and stockholding, especially when neighbors have economics or business education, but only for educated households and when interaction possibilities are substantial. Findings point to transfer of knowledge rather than mere imitation or effects through labor, education, or mobility channels.
A growing body of literature shows the importance of financial literacy in households' financial decisions. However, fewer studies focus on understanding the determinants of financial literacy. Our paper fills this gap by analyzing a specific determinant, the educational system, to explain the heterogeneity in financial literacy scores across Germany. We suggest that the lower financial literacy observed in East Germany is partially caused by a different institutional framework experienced during the Cold War, more specifically, by the socialist educational system of the GDR which affected specific cohorts of individuals. By exploiting the unique set-up of the German reunification, we identify education as a channel through which institutions and financial literacy are related in the German context.
In contrast to the popularity of financial education interventions worldwide, studies on the economic effects of those interventions report mixed results. With a focus on the effect on disadvantaged groups, we review both the theoretical and empirical findings in order to understand why this discrepancy exists. The survey first highlights that it is necessary to distinguish between the concepts of, and the relationships between, financial education, financial literacy and financial behavior to identify the true effects of financial education. The review addresses possible biases caused by third factors such as numeracy. Next, we review theories on financial literacy which make clear that the effect of financial education interventions is heterogeneous across the population. Last, we look closely at main empirical studies on financial education targeted at the migrants/immigrants, the low-income earners and the young, and compare their methodologies. There seems to be a positive effect on short-term financial knowledge and awareness of the young, but there is no proven evidence on long-term behavior after being grown up. Studies on financial behavior of migrants and immigrants show almost no effect of financial education.
The paper analyses the contagion channels of the European financial system through the stochastic block model (SBM). The model groups homogeneous connectivity patterns among the financial institutions and describes the shock transmission mechanisms of the financial networks in a compact way. We analyse the global financial crisis and European sovereign debt crisis and show that the network exhibits a strong community structure with two main blocks acting as shock spreader and receiver, respectively. Moreover, we provide evidence of the prominent role played by insurances in the spread of systemic risk in both crises. Finally, we demonstrate that policy interventions focused on institutions with inter-community linkages (community bridges) are more effective than the ones based on the classical connectedness measures and represents consequently, a better early warning indicator in predicting future financial losses.
A number of recent studies have concluded that consumer spending patterns over the month are closely linked to the timing of income receipt. This correlation is interpreted as evidence of hyperbolic discounting. I re-examine patterns of spending in the diary sample of the U.S. Consumer Expenditure Survey, incorporating information on the timing of the main consumption commitment for most households - their monthly rent or mortgage payment. I find that non-durable and food spending increase with 30-48% on the day housing payments are made, with smaller increases in the days after. Moreover, households with weekly, biweekly and monthly income streams but the same timing of rent/mortgage payments have very similar consumption patterns. Exploiting variation in income, I find that households with extra liquidity decrease non-durable spending around housing payments, especially those households with a large budget share of housing.
The use of evidence and economic analysis in policymaking is on the rise, and accounting standard setting and financial regulation are no exception. This article discusses the promise of evidence-based policymaking in accounting and financial markets as well as the challenges and opportunities for research supporting this endeavor. In principle, using sound theory and robust empirical evidence should lead to better policies and regulations. But despite its obvious appeal and substantial promise, evidence-based policymaking is easier demanded than done. It faces many challenges related to the difficulty of providing relevant causal evidence, lack of data, the reliability of published research, and the transmission of research findings. Overcoming these challenges requires substantial infrastructure investments for generating and disseminating relevant research. To illustrate this point, I draw parallels to the rise of evidence-based medicine. The article provides several concrete suggestions for the research process and the aggregation of research findings if scientific evidence is to inform policymaking. I discuss how policymakers can foster and support policy-relevant research, chiefly by providing and generating data. The article also points to potential pitfalls when research becomes increasingly policy-oriented.
We propose a unified framework to measure the effects of different reforms of the pension system on retirement ages and macroeconomic indicators in the face of demographic change. A rich overlapping generations (OLG) model is built and endogenous retirement decisions are explicitly modeled within a public pension system. Heterogeneity with respect to consumption preferences, wage profiles, and survival rates is embedded in the model. Besides the expected direct effects of these reforms on the behavior of households, we observe that feedback effects do occur. Results suggest that individual retirement decisions are strongly influenced by numerous incentives produced by the pension system and macroeconomic variables, such as the statutory eligibility age, adjustment rates, the presence of a replacement rate, and interest rates. Those decisions, in turn, have several impacts on the macro-economy which can create feedback cycles working through equilibrium effects on interest rates and wages. Taken together, these reform scenarios have strong implications for the sustainability of pension systems. Because of the rich nature of our unified model framework, we are able to rank the reform proposals according to several individual and macroeconomic measures, thereby providing important support for policy recommendations on pension systems.
To estimate demand for labor, we use a combination of detailed employment data and the outcomes of procurement auctions, and compare the employment of the winner of an auction with the employment of the second ranked firm (i.e. the runner-up firm). Assuming similar ex-ante winning probabilities for both firms, we may view winning an auction as an exogenous shock to a firm’s production and its demand for labor. We utilize daily data from almost 900 construction firms and about 3,000 auctions in Austria in the time period 2006 until 2009. Our main results show that the winning firm significantly increases labor demand in the weeks following an auction but only in the years before the recent economic crisis. It employs about 80 workers more after the auction than the runner-up firm. Most of the adjustment takes place within one month after the demand shock. Winners predominantly fire fewer workers after winning than runner-up firms. In the crisis, however, firms do not employ more workers than their competitors after winning an auction. We discuss explanations like labor hoarding and productivity improvements induced by the crisis as well discuss implications for fiscal and stimulus policy in the crisis.
Does economic policy uncertainty affect household stockholding? To answer this question we create a novel measure of household exposure to economic policy uncertainty news by combining survey information on the hours a household spends in reading newspapers and the frequency of such news in the popular press during a household’s pre-interview period. After controlling for household fixed effects, month-year fixed effects and time-varying cognitive skills, we find that households with a higher exposure to economic policy uncertainty news are less likely to invest in stocks held directly or through mutual funds. This effect is independent from the market volatility index and household (first-moment) expectations about the stock market index.
Motivated by the observation that survey expectations of stock returns are inconsistent with rational return expectations under real-world probabilities, we investigate whether alternative expectations hypotheses entertained in the asset pricing literature are consistent with the survey evidence. We empirically test (1) the notion that survey forecasts constitute rational but risk-neutral forecasts of future returns, and (2) the notion that survey fore- casts are ambiguity averse/robust forecasts of future returns. We find that these alternative hypotheses are also strongly rejected by the data, albeit for different reasons. Hypothesis (1) is rejected because survey return forecasts are not in line with risk-free interest rates and because survey expected excess returns are predictable. Hypothesis (2) is rejected because agents are not al- ways pessimistic about future returns, instead often display overly optimistic return expectations. We speculate as to what kind of expectations theories might be consistent with the available survey evidence.
Digitalization expands the possibility for corporations to reduce taxes, mainly, but not exclusively, by allowing improved planning where profits can be shifted. Against this background, the European Commission and several countries emphatically demand and design new tax instruments. However, a selective turning away from internationally accepted principles of international taxation will bring up more questions than solutions. While there are good reasons to think about a fundamental regime switch in international corporate taxation, there are also good arguments for not turning to ad hoc measures that selectively target the relatively small market of Google and Facebook and raise only negligible tax revenues.
Following the introduction of the one-child policy in China, the capital-labor (K/L) ratio of China increased relative to that of India, and, simultaneously, FDI inflows relative to GDP for China versus India declined. These observations are explained in the context of a simple neoclassical OLG paradigm. The adjustment mechanism works as follows: the reduction in the growth rate of the (urban) labor force due to the one-child policy permanently increases the capital per worker inherited from the previous generation. The resulting increase in China's (domestic K)/L thus "crowds out" the need for FDI in China relative to India. Our paper is a contribution to the nascent literature exploring demographic transitions and their effects on FDI flows.