"Good luck or good policy? A recent macroeconomic history of New Zealand". Singapore Economic Review, 2022.
Older Version: International Network for Economic Research - INFER, Working Papers 2021.02
Abstract: The Great Moderation was a global phenomenon marked by stable economic growth and inflation. However, how much monetary policy contributed to its success remained a popular debate in the literature. Answering this question became imperative after the global financial crisis since global conditions became relatively more important than past. I examined the recent macroeconomic history of New Zealand through the lens of a regime-switching structural vector-autoregression model to understand the contributions of domestic monetary policy and global conditions to its macroeconomic stabilization. A small open economy structure is essential to facilitate the identification of structural shocks that spillover from the globe.
"Robust Inference Via Heteroskedasticity in Linear Models" with Max-Sebastian Dovi. (R&R, The Econometrics Journal)
Abstract: We study inference via heteroskedasticity in linear models commonly used for macroeconomic policy analysis, where covariate endogeneity must often be addressed with limited time and data. Our framework nests standard heteroskedasticity-based approaches, allows for new non-nested restrictions, and does not require manual regime labelling. We propose an easily implementable weak-identification-robust test and derive sufficient conditions for its validity. Simulation results show good size and power properties in a wide range of settings. Empirical applications to the fuel-price passthrough in Sierra Leone, the effect of remittances on consumption in the Philippines, and exchange-rate passthroughs in many countries illustrate the versatility and scalability of our approach.
"Nowcasting Low-Income Countries Through Global Linkages " with Domenico Giannone.
Abstract: Timely assessment of economic activity is crucial for effective policymaking at the national, regional, and global levels. However, many economies still do not publish GDP data at a quarterly basis, creating persistent information gaps. In 2025, 34% of economies publish only annual GDP statistics. This lack of higher‑frequency and timely data is particularly restrictive for emerging market and developing economies, where economic volatility and spillover risks are often highest. The problem is more severe for historical data: only 42% of economies have quarterly GDP estimates for a period longer than 20 years. To address these gaps, this paper develops a model that estimates missing quarterly GDP series by leveraging global and regional economic interconnections. The method transforms sparse annual data into quarterly estimates by exploiting higher-frequency information from the rest of the world, enabling real-time policymaking in both data-scarce economies and in global-level discussions. Moreover, this method ensures internally consistent estimates of regional and global economic activity, allowing both top‑down and bottom‑up scenario analyses.
"Regime-Switching Factor Models and Nowcasting with Big Data "
IMF Working Paper 2024/190 Online Appendix
Abstract: 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. 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.
"Panel Nowcasting for Countries Whose Quarterly GDPs are Unavailable " with Seung M Choi, Futoshi Narita, and Jiaxiong Yao.
IMF Working Paper Series 2023/158
Abstract: Quarterly GDP statistics facilitate timely economic assessment, but the availability of such data are limited for more than 60 developing economies, including about 20 countries in sub-Saharan Africa as well as more than two-thirds of fragile and conflict-affected states. To address this limited data availability, this paper proposes a panel approach that utilizes a statistical relationship estimated from countries where data are available, to estimate quarterly GDP statistics for countries that do not publish such statistics by leveraging the indicators readily available for many countries. This framework demonstrates potential, especially when applied for similar country groups, and could provide valuable real-time insights into economic conditions supported by empirical evidence.
"Monetary Policy Spillover and Sovereign Debt Structure" with Gokce Karasoy and Sang Seok Lee.
"Estimating Sectoral Investment and Growth" with Yasin Simsek.
"Central Bank Independence and Monetary Policy Effectiveness in the Middle East, Central Asia, and Caucasus", IMF Departmental Paper Series, forthcoming
"Monetary Policy Frameworks and Communication in the Caucasus and Central Asia", IMF Working Paper Series, Working Paper No. 2023/251
"Strengthening Monetary Policy Frameworks in the Caucasus and Central Asia", IMF Departmental Paper Series, Paper No. 2023/006