Working Papers
2024
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.
August 30, 2024
Overview of the New Calibrated DSGE Model of the Economy of North Macedonia
Description: This paper presents a calibrated DSGE model of the economy of North Macedonia that was developed at the National Bank of the Republic of North Macedonia (NBRNM) within a technical assistance project delivered jointly by the International Monetary Fund (IMF) and the Czech National Bank (CNB). The model structure reflects the specific characteristics of the economy of North Macedonia. Namely, it is a small open economy DSGE model featuring a fixed exchange rate regime functioning in an economy experiencing structural changes over time. The paper provides a detailed overview of the theoretical structure of the model, including optimization problems of economic agents and first-order optimality conditions. A particular emphasis is put on model calibration, as well as on model evaluation, including the analysis of impulse responses, shock decompositions and historical in-sample simulation. Compared to other empirical papers focusing on DSGE models, our approach explicitly includes additional trends and wedges needed to capture non-stationary great ratios as well as the Balassa-Samuelson effect. The model has been developed to complement the existing analytic tools used at the NBRNM for policy analyses and to improve the understanding of the underlying drivers of the business cycle of the domestic economy.
August 30, 2024
Currencies in Turbulence: Exploring the Impact of Natural Disasters on Exchange Rates
Description: This paper investigates the impact of natural disasters on exchange rate movements in different country groups with different exchange rate regimes. Using a panel local projection model with a high-frequency monthly dataset of 177 countries during 1970M1-2019M12, we find that exchange rate movements are more sensitive to natural disasters in emerging markets and developing countries (EMDEs) than in advanced economies (AEs). Furthermore, exchange rate reactions to natural shocks depend on exchange rate regimes adopted by EMDEs. On average, both nominal and real exchange rates could depreciate up to 6 percents two years after the disasters in non-pegged regimes. Our findings suggest that EMDEs with flexible exchange rate regimes would observe a faster recovery through nominal and real depreciations, although they should be mindful about policy implications that may arise from large exchange rate fluctuations caused by natural disaster shocks.
August 30, 2024
Changing Climate in Brazil: Key Vulnerabilities and Opportunities
Description: This paper assesses the Brazilian economy's exposure to climate change focusing on two key areas: agriculture and hydropower. While climate vulnerabilities are significant and recent patterns of land-use further amplify climate change risk, Brazil's opportunities for green growth are vast. Given geography and existing infrastructure, notably the very green energy mix, Brazil can boost its economic potential while mitigating a potential tradeoff between energy use, emissions, and growth. Policy options to address key vulnerabilities and leverage opportunities include boosting the Amazon's resilience via fiscal incentives for forest protection, investing in climate smart agriculture and insurance guided by sustainable feebates, continuing the diversification of renewable power generation, and stimulating green growth while greening the financial sector.
August 23, 2024
Investing in Climate Adaptation under Trade and Financing Constraints: Balanced Strategies for Food Security
Description: Financially constrained governments, particularly in emerging and developing economies, tend to face a fiscal trade-off between adapting to climate change impacts and pursuing broader development goals. This trade-off is especially relevant in the agriculture sector, where investing in adaptation is critical to ensure food security amidst climate change. International trade can help alleviate this challenge and reduce adaptation investment needs by offsetting agricultural production shortages. However, in the presence of trade fragmentation, the adaptive role of trade diminishes, exacerbating food insecurity and increasing investment needs for adaptation. In this paper, we present a model to guide policymakers in deciding on the cost-efficient balance between investing in adaptation in the agricultural sector versus in broader development under financing and trade constraints. We apply the model to Ghana, Egypt, and Brazil, to examine the adaptation-development trade-off and highlight factors that would potentially lower adaptation investment needs. These factors include trade openness, higher agricultural productivity and efficiency of adaptation spending, and reduced labor market distortions. The key takeaways from the model applications suggest that (i) promoting trade openness and accessing concessional finance for adaptation help tackle climate challenges and ensure food security in lower-income countries; and (ii) domestic structural reforms are necessary to facilitate adaptation investments and reduce investment needs, by improving labor market flexibility, adaptation efficiency, and agriculture productivity.
August 23, 2024
Advancing Labor Market Reforms in Korea
Description: This paper examines structural challenges facing the Korean labor market and analyzes the macroeconomic effects of potential labor market reforms. Our cross-country empirical analysis finds that easing of employment protection legislation tends to have positive macroeconmic effects during periods of strong growth but could turn contractionary in periods of slack. By contrast, increased spending on active labor market policies and reductions to the labor tax wedge tend to be more effective in periods of slack. Our analysis thus highlights the importance of considering economic and policy conditions when designing labor market reforms. Under the current disinflationary policy stance, the government’s focus on the working hour reform seems appriorate. With growth recovering, deregulation to reduce employment protection for regular workers can also be considered, combined with targeted support to vulnerable groups.
August 23, 2024
Financial and Business Cycles: Shall We Dance?: An Application to Kazakhstan
Description: This paper examines the role of financial cycle proxies in refining available estimates of the business cycle in Kazakhstan. It contributes to the existing literature by introducing a formal test for the stability of the mean of exogenous variables in the estimation set up, and by developing a self-contained statistical package to streamline the whole estimation process. The empirical strategy is designed to be parsimonious, aiming to avoid the pitfalls associated with overly complex models while achieving comparable results. Results have implications for the extent with which the authorities should manage the business and financial cycles, with which policies, for macroprudential policy calibration, and for the usefulness for policymaking of endsample estimates of the cycle.
August 23, 2024
Taming Public Debt in Europe: Outlook, Challenges, and Policy Response
Description: Public debt ratios in Europe increased significantly in response to the pandemic and energy shocks and have remained higher than before the pandemic in most countries. Going forward, the projected public debt trajectories are broadly flat overall in advanced Europe but have a rising profile in emerging Europe. Government financing needs are still elevated, and the unwinding of quantitative easing by major central banks adds to financing pressures. Moreover, there are important medium- to long-term spending pressures from defense, climate transition, and aging, which are not fully reflected in the projected baseline trajectories. Against this backdrop, the risk that debts will not stabilize in the medium term has increased. Debt stabilization will hinge critically on achieving ambitious fiscal consolidation and sustained growth. Facing these elevated risks, policymakers need to implement carefully-calibrated fiscal adjustments that ensure debt sustainability while supporting growth. They could target debt stabilization over a longer, 10-year, horizon—while adhering to credible fiscal rules such as the reformed EU Economic Governance Framework—but with a high probability to reassure markets that debts will indeed be tamed.
August 23, 2024
Trade Implications of China's Subsidies
Description: Available data show a marked increase in subsidy utilization in China and in other major economies between 2009 and 2022. In this paper, we investigate the effects that China's subsidies have on international trade flows at the product level over this period. The results indicate that the subsidies promoted Chinese exports and limited imports. These effects have been magnified by supply-chain linkages: subsidies given to upstream industries expand significantly the exports of downstream industries. Additional analysis of the price and quantity effects at the product level shows that China's subsidies lowered export prices and boosted export quantities in certain sectors such as metal products, furniture and autos, but not in others such as electrical machinery where the evidence is more consistent with quality upgrading.
August 16, 2024
Programmability in Payment and Settlement
Description: Programmability in payment and settlement has yet to realize its potential to support policy goals such as efficiency, safety, and innovation. This paper proposes a comprehensive framework for understanding and evaluating programmability. It explores two key dimensions: external programmatic access, which is the ability for external participants to access the system data and functions with code, and internal programmatic capabilities, the extent to which internal execution of programs is supported and guaranteed. By developing strategies based on these dimensions, financial institutions, regulators, and related actors can better improve resilience, reduce costs and interoperability, all while managing associated risks. The resulting hybrid systems are coordinated efforts balancing the advantages of permissionless blockchains, such as composability, with regulatory requirements and a wider range of technologies. The paper describes these programmatic models to inform and guide the development of digital finance, bridging policy discussions with technical considerations.