Working Papers
2023
November 17, 2023
Predicting the Law: Artificial Intelligence Findings from the IMF’s Central Bank Legislation Database
Description: Using the 2010, 2015, and 2020/2021 datasets of the IMF’s Central Bank Legislation Database (CBLD), we explore artificial intelligence (AI) and machine learning (ML) approaches to analyzing patterns in central bank legislation. Our findings highlight that: (i) a simple Naïve Bayes algorithm can link CBLD search categories with a significant and increasing level of accuracy to specific articles and phrases in articles in laws (i.e., predict search classification); (ii) specific patterns or themes emerge across central bank legislation (most notably, on central bank governance, central bank policy and operations, and central bank stakeholders and transparency); and (iii) other AI/ML approaches yield interesting results, meriting further research.
November 17, 2023
Estimating Fiscal Multipliers Under Alternative Exchange Rate Regimes: The Case of Bolivia
Description: Empirical (employing the Blanchard-Perotti framework) and modeling (using a country-specific DSGE model) approaches are used to estimate fiscal multipliers by policy instrument for Bolivia, to evaluate possible adjustments in a fiscal consolidation strategy. Multipliers are also estimated using alternative assumptions about the accompanying exchange rate regime and capital mobility, highlighting the importance of the policy mix in determining the impact of fiscal adjustments. The study exploits the DSGE modeling structure to assess this interaction of fiscal and monetary policy in a lower middle-income country under different exchange rate regimes. It finds that expenditure multipliers fall into the range of 1/3 to 2/3, with public investment multipliers slightly higher than government consumption multipliers over longer horizons, and multipliers generally higher under a peg than inflation targeting. Tax multipliers are shown to be about half of expenditure multipliers.
November 17, 2023
Is FinTech Eating the Bank's Lunch?
Description: This paper examines how the growing presence of FinTech firms affects the performance of traditional financial institutions. The findings point to a negative impact on profitability, primarily due to a reduction in interest income and a rise in operational costs. Although established financial institutions have tried to diversify their revenue streams, these efforts have proven inadequate to offset the losses associated with increased competition from FinTech firms. Our study also reveals that various FinTech business models, such as Peer-to-Peer (P2P) lending and Balance Sheet lending, have varying effects on financial institutions. Cooperative banks experience more significant profit deterioration under both models, whereas (larger) commercial banks appear to benefit from partnerships with P2P platforms, as evidenced by an increase in non-interest income. Furthermore, the findings suggest that FinTech presence has a disproportionately larger adverse effect on banks in countries with more competitive, profitable, and developed financial systems. Interestingly, however, traditional financial institutions in countries with stronger regulatory frameworks appear to benefit from the expanding influence of FinTech firms.
November 17, 2023
Central Bank Digital Currency and Bank Disintermediation in a Portfolio Choice Model
Description: Would the introduction of a Central Bank Digital Currency (CBDC) lead to lower deposits (disintermediation) and lending in the banking sector? This paper develops a model where households heterogeneous in wealth allocate between an illiquid asset and assets that can be used for payments: bank deposits, cash, and CBDC. CBDC is more efficient as a means of payment and has lower access cost than deposits. Deposits are offered by an imperfectly competitive banking sector which raises deposit interest rates after CBDC introduction to prevent substitution away from deposits to CBDC. We find that there are two opposing margins of impact on the level of aggregate deposits: (1) the intensive margin gain in deposits by richer households increasing their holdings of deposits because of higher interest rates, and (2) the extensive margin loss of deposits among poorer households who switch from deposits to the CBDC. The extensive margin loss in deposits is more likely to dominate (yielding a fall in aggregate deposits) when the mass of poorer households is large and when it is relatively costly to access bank accounts. This tends to be the case in developing and emerging market economies. However, even when the extensive margin loss of deposits dominates and there is disintermediation, the impact on lending is quantitatively small if banks have access to other forms of funding, such as wholesale or central bank financing.
November 10, 2023
FINEX - A New Workhorse Model for Macroeconomic Forecasting and Policy Analysis
Description: This paper presents a semi-structural macroeconomic model aimed at facilitating policy analysis and forecasting, primarily in countries with imperfect capital mobility and hybrid monetary policy regimes. Compared to earlier gap-trend projection models, the Forecasting Model of Internal and External Balance (FINEX) contains three main innovations: it accentuates external and internal balances; explicitly incorporates fiscal policy; and partly endogenizes the main trends. FINEX thus covers a broad set of policy instruments, including foreign exchange interventions (FXI), capital flow management measures (CFM), as well as common fiscal policy instruments. The model incorporates insights from the recent DSGE literature, while maintaining a more accessible gap-trend structure that lends itself to practical policy applications. While the paper refrains from drawing broad policy lessons, it emphasizes the model's ability to interpret recent data in terms of structural shocks and policy responses, thereby aiding policymakers in constructing coherent economic narratives and considering alternative scenarios.
November 10, 2023
Trade Diversion Effects from Global Tensions—Higher Than We Think
Description: The paper builds a unique industry-level dataset by combining Mexico’s nationally sourced inputoutput data (INEGI) with cross-country sources (WIOD, UN Comtrade). Using this dataset to exploit higher supply linkages across a larger number of industries than what is available in cross-country sources, the paper estimates the trade diversion effect on Mexico’s exports to the U.S. from two episodes, with a focus on the first: the U.S.-China trade tension in 2018 and the U.S. sanctions on Russia in 2014. Difference-in-differences, local projections and few other empirical methodologies are used. For the first episode, the paper finds higher trade diversion effects than estimates in literature. Output tariff plays an important role, and there is some evidence of a positive impact through downstream tariffs. The effects are stronger when nationally sourced input-output data is used compared to those derived from cross-country sources. Importantly, the magnitude of trade diversion across industries does not depend on Mexico’s industry-level trade exposure to the U.S., but rather on the U.S. tariff changes on Chinese goods, the decrease in imports from China, product substitutability with Chinese products, and (weakly) on Mexico’s GVC integration. Similarly, for the second episode, the paper finds positive trade diversion effects. Overall, the findings suggest that trade diversion effect might be higher than previously thought and the proper accounting of dataset and supply linkages makes a difference.
November 10, 2023
The Pass-through of Wages to Consumer Prices in the COVID-19 Pandemic: Evidence from Sectoral Data in the U.S.
Description: We study the pass-through of labor costs to prices using a novel data-set that links industry-level wages to sectoral consumer prices through input-output tables. Pass-through increased during the COVID-19 pandemic recovery, temporarily in goods and persistently in services. Our analysis suggests that the elevated pass-through contributed at least 0.8 percentage points to goods inflation in 2021 and 0.7 percentage points and 0.5 percentage points to services inflation in 2021 and 2022, respectively. We find that the increase in pass-through reflects elevated demand in goods sectors and firms' difficulty in absorbing high wage growth in services sectors. The analysis suggests it will take a reduction in wage growth to bring PCE inflation back to target. Fiscal and monetary policies that help to re-balance the labor markets can facilitate this process.
November 10, 2023
The Economic Consequences of Social Unrest: Evidence from Initial Public Offerings
Description: Prior research attributes negative stock market performance following episodes of social unrest to elevated uncertainty. However, social unrest does not solely increase uncertainty, but separately acts to decrease investor sentiment. To determine which effect dominates, we study initial public offering (IPO) underpricing, which responds differently to changes to uncertainty and investor sentiment. Consistent with the notion that social unrest dampens investor sentiment, we find robust evidence that IPO first-day returns are lower during times of greater social unrest. Limits to arbitrage intensify the negative relation between social unrest and underpricing. Notably, strong institutional frameworks mitigate the impact of social unrest on underpricing, suggesting that quality institutions weaken the link between investor sentiment and returns.
November 10, 2023
Quantifying the Revenue Yields from Tax Administration Reforms
Description: Despite the criticality of tax administration (TA) reforms in enhancing domestic revenue mobilization, few studies have attempted to quantify the revenue impact of such reforms. This paper fills this gap by estimating the revenue yields associated with various tax administration capabilities, based on the International Survey on Tax Administration (ISORA), the Tax Administration Diagnostic Assessment Tool (TADAT), and TA reform episodes datasets (identified by Akitoby et al., 2020). It uses a Hausman-Taylor cross-country panel regression and an event study for specific TA reform episodes. Our results (using the ISORA data) show that an increase in the overall strength of TA from the 40th percentile to the 60th percentile is associated with an increase in tax revenue by 1.8 pp. of GDP (with a 95 percent confidence range of 0.5‒2.6 pp. of GDP). Similarly, the event-study assessment shows that sustained TA reforms led to an increase in tax revenues between 2 to 3 pp. of GDP, in line with the experience in three country cases (Jamaica, Rwanda, and Senegal). Also, the revenue yields are increasing over time to more than 3 pp. of GDP after the 6th year following a comprehensive reform. The analysis also highlights the significant impact of specific measures including: i) strengthening compliance risks management, ii) enhancing public accountability, iii) establishing Large Taxpayer Offices (LTO), iv) strengthening accountability and transparency, and v) enhancing timely filing of tax declarations.
November 3, 2023
A New Fiscal Framework for Resource-Rich Countries
Description: This paper revisits the debate on the design of fiscal rules in resource-rich countries. Its main objective is to assess alternative systems of rules against their policy objectives, while taking into account country characteristics. One of the contributions of the paper is to propose fiscal frameworks that are centered around the principle of insurance against shocks and less reliant on estimating precisely resource wealth, which tends to be highly volatile.