Working Papers
2024
September 13, 2024
The Labor Market Impact of Artificial Intelligence: Evidence from US Regions
Description: This paper empirically investigates the impact of Artificial Intelligence (AI) on employment. Exploiting variation in AI adoption across US commuting zones using a shift-share approach, I find that during 2010-2021, commuting zones with higher AI adoption have experienced a stronger decline in the employment-to-population ratio. Moreover, this negative employment effect is primarily borne by the manufacturing and lowskill services sectors, middle-skill workers, non-STEM occupations, and individuals at the two ends of the age distribution. The adverse impact is also more pronounced on men than women.
September 13, 2024
Climate Policy Diffusion Across US States
Description: Climate policy at the subnational level is sometimes framed as being counterproductive, because climate change is considered a collective action problem that can be best addressed in a coalition that should be as large as possible. Using comprehensive data from US states on climate policy and policy outcomes, we show that state-level policy is effective in accelerating the adoption of solar energy. Crucially, however, state policies also have positive spillovers to other states, by making it more likely that neighboring states adopt climate policy as well. By proportionally attributing the spillover effects, we find that many US states achieve more climate benefits through the spillovers to other states than within their own jurisdiction. In a further step, we distinguish between climate policies in the energy sector and policies addressed either at other sectors or greenhouse gas emission (GHG) reductions generally. We find that climate policies in the energy sector are distinct from other climate policies in two ways: They have a significant effect on solar capacity growth and they diffuse more broadly.
September 13, 2024
Beyond the Dikes: Flood Scenarios for Financial Stability Risk Analysis
Description: We assess financial stability risks from floods in the Netherlands using a comprehensive set of flood scenarios considering different factors including geographical regions, flood types, climate conditions, return periods, and adaptation. The estimated damage from each flood scenario is used to calibrate the corresponding macro-financial scenario for bank stress tests. Our results show the importance of considering these heterogeneous factors when conducting physical climate risk stress tests, as the impact of floods on bank capital varies significantly by scenario. We find that climate change amplifies the adverse impact on banks’ capital, but stronger flood defenses in the Netherlands can help mitigate some impacts. Further, we find a non-linear relationship between flood damages and banks’ capital depletion, highlighting the importance of considering extreme scenarios.
September 13, 2024
A Gravity Model of Geopolitics and Financial Fragmentation
Description: Do geopolitical tensions between countries influence the cross-border asset allocation of investment funds? Our answer is yes. We estimate gravity models and find that investment funds allocate smaller shares of their portfolios to recipient countries that are geopolitically more distant to their country of origin—with geopolitical distance measured by dissimilarity in countries’ voting behavior in the United Nations General Assembly. We also find an investment diversion effect: a recipient country attracts additional investments when its source countries get geopolitically more distant to third-party countries. These results are robust to instrumenting geopolitical distance and using alternative distance measures.
September 13, 2024
Aggregate Shocks and the Formation of Preferences and Beliefs
Description: A growing body of work has shown that aggregate shocks affect the formation of preferences and beliefs. This article reviews evidence from sociology, social psychology, and economics to assess the relevance of aggregate shocks, whether the period in which they are experienced matters, and whether they alter preferences and beliefs permanently. We review the literature on recessions, inflation experiences, trade shocks, and aggregate non-economic shocks including migrations, wars, terrorist attacks, pandemics, and natural disasters. For each aggregate shock, we discuss the main empirical methodologies, their limitations, and their comparability across studies, outlining possible mechanisms whenever available. A few conclusions emerge consistently across the reviewed papers. First, aggregate shocks impact many preferences and beliefs, including political preferences, risk attitudes, and trust in institutions. Second, the effect of shocks experienced during young adulthood is stronger and longer lasting. Third, negative aggregate economic shocks generally move preferences and beliefs to the right of the political spectrum, while the effects of non-economic adverse shocks are more heterogeneous and depend on the context.
September 10, 2024
Banking Law and Climate Change: Key Legal Issues
Description: This paper explores the intersection of climate change policies with banking supervisory law. Statutory mandates define banking supervisory agencies’ objectives, functions and powers. Policies that aim to address climate change risks appear fully germane to banking supervisors’ main objective of safety and soundness. As such, banking supervisory agencies have a duty to address climate risks in light of their mandate. A mandate that is not anchored on safety and soundness in light of best practice would blur the accountability of banking supervisory agencies and undermine their legitimacy also with respect to climate. While legal changes can help provide greater legal certaintly, particularly given the long-term perspective of climate change, bank supervisory agencies can take action without fundamental reforms of their legal framework. Accordingly, they have set expectations or requirements for banks to incorporate climate into their strategy and business model, risk management, and governance. A combination of legal instruments—based on soft law and hard law—helps to achieve this objective. Notwithstanding implementation challenges, taxonomies and disclosures remain important tools, and banking supervisors should assess their role in the development of such tools in light of their mandate. The key responsibility to address climate risks rests on banks, and corporate governance frameworks could assist.
September 9, 2024
Central Banks and Climate Change: Key Legal Issues
Description: Well-designed legal frameworks and institutional arrangments support the legitimacy of central banks’ autonomous decision-making when grounded on sound legal basis and can prevent over-stepping in the remit of other authorities. This paper explores the key legal intersections of climate change and central banks. Climate change could impact price and finanical stability, which are at the core of a central bank’s mandate. While central banks’ legal frameworks can support climate change efforts they also determine the boundaries of the measures they can adopt. Central banks need to assess their mandate and authority under their current legal frameworks when considering measures to contribute to the global response to climate change, while taking actions to fulfill their legal mandates.
September 6, 2024
Managing Remittances Inflows with Foreign Exchange Intervention
Description: In a 157 emerging markets and developing countries sample, remittances continue to grow fast, outpacing other financial inflows (as a share of GDP), particularly in Asia. Without alternative policy instruments, foreign exchange interventions (FXIs) have often been the authorities’ go-to tool to manage the short-term effects of these remittance inflows. However, this practice comes at a cost. This paper shows that FXIs are quick, temporary solutions that often may hinder the development of the recipient country’s financial sector and may not support financial stability over the medium term. The analysis suggests that FXIs act as an insurance tool that, by mitigating FX volatility, protect remittance recipients and tradable sectors from FX risks, encouraging less bank deposits (consistent with more spending) and lower buffers in the banking sector. These costs add to other direct FXI-related costs already identified in the literature. The development of private sector market risk management tools should support longer-term structural reforms required to increase the absorptive capacity of additional FX inflows.
September 6, 2024
Regime-Switching Factor Models and Nowcasting with Big Data
Description: This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good trade-off between accuracy and speed, which makes it especially useful for large dimensional data. Unlike traditional numerical maximization approaches, this methodology benefits from closed-form solutions for parameter estimation, enhancing its practicality for real-time applications and historical data exercises with focus on frequent updates. In a nowcasting application to vintage US data, I study the information content and relative performance of regime-switching model after each data releases in a fifteen year period, which was only feasible due to the time efficiency of the proposed estimation methodology. While existing literature has already acknowledged the performance improvement of nowcasting models under regime-switching, this paper shows that the superior nowcasting performance observed particularly when key economic indicators are released. In a backcasting exercise, I show that the model can closely match the recession starting and ending dates of the NBER despite having less information than actual committee meetings, where the fit between actual dates and model estimates becomes more apparent with the additional available information and recession end dates are fully covered with a lag of three to six months. Given that the EM algorithm proposed in this paper is suitable for various regime-switching configurations, this paper provides economists and policymakers with a valuable tool for conducting comprehensive analyses, ranging from point estimates to information decomposition and persistence of recessions in larger datasets.
September 6, 2024
How do Economic Growth and Food Inflation Affect Food Insecurity?
Description: During the global recession of 2020 food insecurity increased substantially in many countries around the world. Fortunately, the surge in food insecurity quickly came to a halt as the world economy returned to its positive growth path, despite double-digit domestic food inflation in most countries. To shed light on the relative importance of income growth and food inflation in driving food insecurity, we employ a heterogeneous-agent model with income inequality, complemented by novel cross-country data for the period 2001-2021. We use external instruments (changes in commodity terms-of-trade, external economic growth, and harvest shocks) to isolate exogenous variation in domestic income growth and ood inflation. Our findings suggest that income growth is the dominant driver of annual variations in food insecurity, while food price inflation plays a somewhat smaller role, aligning with our model predictions.