Working Papers
2024
March 22, 2024
The Dynamic Effects of Local Labor Market Shocks on Small Firms in The United States
Description: We use payroll data on over 1 million workers at 80,000 small firms to construct county-month measures of employment, hours, and wages that correct for dynamic changes in sample composition in response to business cycle fluctuations. We use this to estimate the response of small firms' employment, hours and wages following tighter local labor market conditions. We find that employment and hours per worker fall and wages rise. This is consistent with the predictions of the response to a demand shock in the well-known “jobs ladder” model of labor markets. To check this interpretation, we show our results hold when instrumenting for local demand using county-level Department of Defense contract spending. Correction for dynamic sample bias is important -- without it, the hours fall by only one third as much and wages increase by double.
March 15, 2024
High Inflation in the Baltics: Disentangling Inflation Dynamics and Its Impact on Competitiveness
Description: This paper identifies and quantifies the drivers of inflation dynamics in the three Baltic economies and assesses the effectiveness of fiscal policy in fighting inflation. It also analyzes the macroeconomic impact of inflation on competitiveness by focusing on the relationship between wages and productivity in the tradeable sector. The results reveal that inflation in the Baltics is largely driven by global factors, but domestic demand matters as well, suggesting that fiscal policy can play a role in containing inflation. Also, there is robust evidence of a long-run (cointegration) relationship between (real) wages in the tradeable (manufacturing) sector and productivity in the Baltics with short-term deviations self-correcting in Estonia and Lithuania only.
March 15, 2024
Can Fiscal Consolidation Announcements Help Anchor Inflation Expectations?
Description: In this paper, we use quarterly data and a novel database on fiscal policy consolidation announcements, for a sample of advanced economies and emerging markets to quantify the effects of fiscal tightening on inflation expectations. We find that fiscal consolidation announcements reduce inflation expectations over the medium-term (three and five-years ahead), but not in the short-term (one-year ahead). There is also some evidence that consolidation announcements reduce “disagreement” about expected future inflation at longer horizons. The inflation anchoring role of consolidation announcements is enhanced by the strength of a country’s fiscal and monetary frameworks, and when fiscal and monetary policy work in tandem. In addition, we find that initial conditions matter—inflation expectation’s response to consolidation announcements is larger in periods of high contemporaneous inflation. With these results in hand, we show that the effectiveness of fiscal consolidation in controlling realized inflation depends greatly on the response of inflation expectations to consolidation announcements. These results show that fiscal policy is crucial to anchor inflation expectations and a key element of a credible disinflationary process.
March 15, 2024
Effect of Exchange Rate Movements on Inflation in Sub-Saharan Africa
Description: This paper provides new evidence on the exchange rate passthrough to domestic inflation in Sub-Saharan Africa (SSA) using both bilateral US dollar exchange rate and the nominal effective exchange rate (NEER), and monthly data. We find that depreciations cause sizable increases in domestic inflation. The passthrough in SSA is higher than in other regions and its magnitude depends on the exchange rate regime, type of exchange rate (bilateral versus NEER), natural resource endowment and domestic market competitiveness. The passthrough is found to be disproportionately larger and more persistent for large depreciation shocks, and for exchange rate changes that are more persistent. We also find evidence of asymmetry, with passthrough eight times stronger during depreciations than appreciations. Additional findings suggest that improved monetary policy effectiveness is an important driver of our observed declining estimates of exchange rate passthrough over time, supporting the long-standing view that strengthening monetary policy frameworks and credibility helps mitigate the impact of depreciations on inflation.
March 15, 2024
Climate Variability and Worldwide Migration: Empirical Evidence and Projections
Description: We estimate a bilateral gravity equation for emigration rates controlling for decadal weather averages of temperature, precipitation, droughts, and extreme precipitation in origin countries. Using the parameter estimates of the gravity equation, we estimate global, regional, and country-by-country emigration flows using different population and climate scenarios. Global emigration flows are projected to increase between 73 and 91 million in 2030-2039; between 83 and 102 million in 2040-2049; between 88 and 121 in 2050-59, and between 87 and 133 million in 2060-2069. Changes in emigration flows are mainly due to population growth in the origin countries.
March 15, 2024
Efficient Economic Rent Taxation under a Global Minimum Corporate Tax
Description: The international agreement on a corporate minimum tax is a milestone in global corporate tax arrangements. The minimum tax disturbs the equivalence between otherwise equivalent forms of efficient economic rent taxation: cash-flow tax and allowance for corporate equity. The marginal effective tax rate initially declines as the statutory tax rate rises, reaching zero where the minimum tax is inapplicable, and increases thereafter. This kink occurs at a lower statutory rate under cash-flow taxation. We relax the assumption of full loss offset; provide a routine for computing effective rates under different designs; and discuss policy implications of the minimum tax.
March 15, 2024
The ECB’s Future Monetary Policy Operational Framework: Corridor or Floor?
Description: This paper reviews the trade-offs involved in the choice of the ECB’s monetary policy operational framework. As long as the ECB’s supply of reserves remains well in excess of the banks’ demand, the ECB will likely continue to employ a floor system for implementing the target interest rate in money markets. Once the supply of reserves declines and approaches the steep part of the reserves demand function, the ECB will face a choice between a corridor system and some variant of a floor system. There are distinct pros and cons associated with each option. A corridor would be consistent with a smaller ECB balance sheet size, encourage banks to manage their liquidity buffers more tightly, and facilitate greater activity in the interbank market. But it would require relatively more frequent market operations to ensure the money markets rate stays close to the policy rate and could leave the banking system vulnerable to intermittent liquidity shortages that may have financial stability implications and impair monetary transmission. The floor, on the other hand, would allow for more precise control of the overnight rate and a lower risk of liquidity shortages, but it would entail a somewhat larger ECB balance sheet, weaken the incentives for banks to manage their liquidity buffers, and discourage interbank market activity. The analysis of tradeoffs suggests that, on balance, in steady state, a hybrid system that combines the features of the “parsimonious floor” (with a minimal volume of reserves) with a lending facility or frequent short-term full-allotment lending operations priced at or very close to the deposit rate, making it a “zero (or near-zero) corridor”, would be most conducive for achieving the ECB’s monetary policy objective.
March 8, 2024
Predicting IMF-Supported Programs: A Machine Learning Approach
Description: This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML prediction results relative to traditional econometric approaches, explores non-linear relationships among predictors indicative of IMF-supported programs, and evaluates model robustness with regard to different feature sets and time periods. ML models consistently outperform traditional methods in out-of-sample prediction of new IMF-supported arrangements with key predictors that align well with the literature and show consensus across different algorithms. The analysis underscores the importance of incorporating a variety of external, fiscal, real, and financial features as well as institutional factors like membership in regional financing arrangements. The findings also highlight the varying influence of data processing choices such as feature selection, sampling techniques, and missing data imputation on the performance of different ML models and therefore indicate the usefulness of a flexible, algorithm-tailored approach. Additionally, the results reveal that models that are most effective in near and medium-term predictions may tend to underperform over the long term, thus illustrating the need for regular updates or more stable – albeit potentially near-term suboptimal – models when frequent updates are impractical.
March 8, 2024
An Assessment of the 2019 and 2020 Pension Reforms in Mexico
Description: In recent years the Mexican pension system has changed significantly. In 2019 the existing means-tested social pension was made universal – covering everyone over the age of 65 – and the benefit level increased. In 2020, the main regime of the private sector was substantially reformed, increasing contribution rates for the funded defined contribution system, lowering the minimum years of contributions needed to receive an earnings-related pension, and increasing minimum pensions. This paper tries to assess the likely outcomes of those reforms, discusses design inefficiencies of the reforms and offers policy options to improve pension system design.
March 8, 2024
Specialization, Market Access and Real Income
Description: This paper estimates the impact of external demand shocks on real income. We utilize a first order approximation to a wide class of small open economy models that feature sector-level gravity in trade flows, which allows us to measure foreign shocks and characterize their welfare impact in terms of reducedform elasticities. We use machine learning techniques to group 4-digit manufacturing sectors into a smaller number of clusters, and show that the cluster-level elasticities of income with respect to foreign shocks can be estimated using high-dimensional statistical techniques. Foreign demand shocks in complex intermediate and capital goods have large positive impacts on real income, whereas impacts in other sectors are negligible. We showthat the estimates imply that countries that specialize in these sectors enjoy greater gains from increased openness, and that (small) export subsidies to these sectors are welfare-improving. Finally, a calibrated multisector production and trade model with input-output linkages and external economies of scale can match the empirical estimates.