Working Papers

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2023

October 4, 2023

Labor Market Exposure to AI: Cross-country Differences and Distributional Implications

Description: This paper examines the impact of Artificial Intelligence (AI) on labor markets in both Advanced Economies (AEs) and Emerging Markets (EMs). We propose an extension to a standard measure of AI exposure, accounting for AI's potential as either a complement or a substitute for labor, where complementarity reflects lower risks of job displacement. We analyze worker-level microdata from 2 AEs (US and UK) and 4 EMs (Brazil, Colombia, India, and South Africa), revealing substantial variations in unadjusted AI exposure across countries. AEs face higher exposure than EMs due to a higher employment share in professional and managerial occupations. However, when accounting for potential complementarity, differences in exposure across countries are more muted. Within countries, common patterns emerge in AEs and EMs. Women and highly educated workers face greater occupational exposure to AI, at both high and low complementarity. Workers in the upper tail of the earnings distribution are more likely to be in occupations with high exposure but also high potential complementarity.

October 4, 2023

Mining the Gap: Extracting Firms’ Inflation Expectations From Earnings Calls

Description: Using a novel approach involving natural language processing (NLP) algorithms, we construct a new cross-country index of firms' inflation expectations from earnings call transcripts. Our index has a high correlation with existing survey-based measures of firms' inflation expectations, it is robust to external validation tests and is built using a new method that outperforms other NLP algorithms. In an application of our index to United States, we uncover some facts related to firm's inflation expectations. We show that higher expected inflation translates into future inflation. Going into the firms level dimension of our index, we show departures from a rational framework in firms' inflation expectations and that firms' attention to the central enhances monetary policy effectiveness.

October 3, 2023

Geoeconomic Fragmentation and Commodity Markets

Description: This paper studies the economic impact of fragmentation of commodity trade. We assemble a novel dataset of production and bilateral trade flows of the 48 most important energy, mineral and agricultural commodities. We develop a partial equilibrium framework to assess which commodity markets are most vulnerable in the event of trade disruptions and the economic risks that they pose. We find that commodity trade fragmentation – which has accelerated since Russia’s invasion of Ukraine – could cause large price changes and price volatility for many commodities. Mineral markets critical for the clean energy transition and selected agricultural commodity markets appear among the most vulnerable in the hypothetical segmentation of the world into two geopolitical blocs examined in the paper. Trade disruptions result in heterogeneous impacts on economic surplus across countries. However, due to offsetting effects across commodity producing and consuming countries, surplus losses appear modest at the global level.

September 29, 2023

Assessing Macrofinancial Risks from Crypto Assets

Description: Failures in the crypto space—including the fall of Terra USD and the FTX debacle—have sparked calls for strengthening countries’ policy frameworks for crypto assets, including by enhanced regulation and supervision. How have these heightened concerns about crypto assets been picked up in systemic risk assessment, and what can be done going forward? In this paper, we introduce a conceptual macrofinancial framework to understand and track systemic risks stemming from crypto assets. Specifically, we propose a country-level Crypto-Risk Assessment Matrix (C-RAM) to summarize the main vulnerabilities, useful indicators, potential triggers and potential policy responses related to the crypto sector. We also discuss how experts and officials can weave in specific vulnerabilities stemming from crypto asset activity into their assessment of systemic risk, and how they can provide policy advice and take action to help contain systemic risks when needed.

September 29, 2023

New Evidence on Spillovers Between Crypto Assets and Financial Markets

Description: We analyze returns and volatility spillovers among a representative set of crypto and financial assets. The magnitude of spillovers increases during periods of heightened turbulence due to negative economic-financial news, crypto market events, or exogenous shocks. There is evidence of increasing spillovers over time, with a peak during the COVID-19 pandemic, implying growing interdependence. Crypto assets predominantly transmit spillovers to financial markets, though reversals occur during periods of financial stress. The increased correlation during risk-off episodes suggests that crypto assets could serve as important conduits for financial market shocks, generating financial stability risks.

September 29, 2023

Inflation Dynamics in Bulgaria: The Role of Policies

Description: This paper analyses inflation dynamics in Bulgaria using different complementary econometrics technics. We find that common factors play a large role in the EU’s inflation variation but impact individual countries differently due to country-specific factors. Greater weight of energy and food in Bulgaria’s CPI basket amplifies the impact of shocks on headline inflation. Furthermore, second-round effects in Bulgaria are likely pronounced, associated with a higher inflation persistence compared to the EU countries. Recent ECB monetary tightening has been insufficient for Bulgaria and its transmission is weak. Fiscal policy supported the recovery from the COVID crisis but added to inflation.

September 29, 2023

Monetary Policy and Labor Market Gender Gaps

Description: We study the effects of monetary policy shocks on employment gender gaps in a panel of 22 countries using quarterly data from 1990 to 2019. Our results show that men’s employment falls more than women’s after contractionary monetary policy shocks, narrowing the employment gender gap over time. Two factors contribute to explaining this heterogeneous effect. First, a larger impact of monetary policy shocks on employment in the industry sector that employs more men. Second, the larger response of the employment gap in the sector (services) that employs the largest share of men and women. In terms of labor market adjustment, the narrowing of the gender employment gap is initially driven by a reduction in the gender unemployment gaps that, over time, results in an adjustment in the gender labor force participation gap—with men’s labor force participation dropping more than women’s. The effects are larger in countries with more flexible labor market regulations, higher gender wage gaps, and lower informal women’s employment compared to men’s. Finally, the effects are also larger for contractionary monetary policy shocks and during expansions.

September 29, 2023

Putting Out the NBFIRE: Lessons from the UK's Liability-Driven Investment (LDI) Crisis

Description: Liability Driven Investment (LDI) funds were at the center of the severe stress that emerged in the UK gilt market in the aftermath of the September 2022 UK "mini-budget". The episode, which came on the heels of the “Dash for Cash” and “Archegos” stress episodes in the previous two years, highlights underlying vulnerabilities in the large and diverse non-bank financial institution (NBFI) sector. This paper seeks a deeper understanding of the factors that amplified the gilt market turmoil which ultimately led the Bank of England (BoE) to undertake temporary gilt purchases on financial stability grounds in late September/early October 2022 to restore orderly market conditions and enable LDI funds to build their capital positions. With the gilt market stress and the BoE’s purchases now fully unwound, this paper identifies the key reasons for the success of the BoE’s intervention. Then, drawing also on findings of the 2022 UK Financial Sector Assessment Program (FSAP), the paper discusses key gaps and policy issues related to the monitoring of financial stability risks in the broader NBFI sector for both individual jurisdictions and international standard-setting bodies.

September 29, 2023

Identifying News Shocks from Forecasts

Description: We propose a method to identify the anticipated components of macroeconomic shocks in a structural VAR. We include empirical forecasts about each time series in the VAR. This introduces enough linear restrictions to identify each structural shock and to further decompose each one into “news” and “surprise” shocks. We estimate a VAR on US time series using forecast data from the SPF, CBO, Federal Reserve, and asset prices. Unanticipated fiscal stimulus and interest rate shocks we identify have typical effects that match existing evidence. In our news-surprise decomposition, we find that news drives around one quarter of US business cycle volatility. News explains a larger share of the variance due to fiscal shocks than for monetary policy shocks. Finally, we use the news structure of the shocks to estimate counterfactual policy rules, and compare the ability of fiscal and monetary policy to moderate output and inflation. We find that coordinated fiscal and monetary policy are substantially more effective than either tool is individually.

September 29, 2023

Reassessing GDP Growth in Countries with Statistical Shortcomings - A Case Study on Turkmenistan

Description: Reliable national accounts are essential for proper economic analyses and informed policymaking by national authorities as well as other stakeholders. Nevertheless, in many countries, national accounts statistics are subject to serious shortcomings, which are often manifested as overestimated growth rates. In cases where official data are not adequate for surveillance, IMF staff compile alternative estimates by applying various forecasting methods. This study proposes a more holistic, bottom-up approach, which is based on the compilation of GDP by the expenditure method with limited source data. The study also discusses the case of Turkmenistan, where this method was implemented in practice.

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