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Yiqiao Sun

Economics

Division

Forecasting and Policy Modelling

Current Position

Economist

Fields of interest

Macroeconomics and Monetary Economics,International Economics,Economic Growth

Email

Yiqiao.Sun@ecb.europa.eu

Education
2019

PhD in Economics, WHU-Otto Beisheim School, Germany

2011

M.Sc. in Economics and Finance, University of Tübingen, Germany

2009

Licence Economie et gestion, Université IX de Paris-Dauphine, France

Professional experience
2024-

DG Economics, Forecasting and Policy Modelling

2018-2024

DG Economics, Business Cycle Analysis Division

2015-2017

DG Economics, Prices and Costs Division

26 June 2025
WORKING PAPER SERIES - No. 3063
Details
Abstract
This study involves tasking ChatGPT with classifying an “activity sentiment score” based on PMI news releases. It explores the predictive power of this score for euro area GDP nowcasting. We find that the PMI text scores enhance GDP nowcasts beyond what is embedded in ECB/Eurosystem Staff projections and Eurostat’s first GDP estimate. The ChatGPT-derived activity score retains its significance in regressions that also include the composite output PMI diffusion index. GDP nowcasts are significantly enhanced with PMI text scores even when accounting for methodological variations, excluding extraordinary economic events like the pandemic, and for different GDP growth quantiles. However, the forecast gains from the enhancement of GDP nowcasts with ChatGPT scores are time dependent, varying by calendar years. Sizeable forecast gains of on average about 20% were obtained apart from the two most recent years due to exceptionally low forecast errors of the two benchmarks, especially the first GDP estimate.
JEL Code
C8 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
15 December 2023
OCCASIONAL PAPER SERIES - No. 336
Details
Abstract
In this paper we analyse the sensitivity of the macroeconomic outcomes under the Network for Greening the Financial System’s (NGFS’s) Phase III net-zero and delayed transition scenarios to different monetary and fiscal policy settings. In doing so, we provide a rare application of the NGFS climate scenarios to economic assessment through the lens of the macroeconomic modelling frameworks underlying the scenario construction (e.g. NiGEM). Using the model to disentangle the main drivers of the scenarios, we show that gross domestic product (GDP) growth is shaped by physical and transition shocks jointly, whereas transition shocks account for most of the inflationary pressure. As regards alternative policy settings within the model, it turns out that Fiscal recycling options become more discriminant in terms of GDP impact in the medium term. Full recycling through government investment yields the strongest output multiplier, whereas recycling through household transfers or reduced income taxes yields the lowest multiplier. During the transition, euro area macroeconomic variables respond very similarly if two-pillar or price level-targeting monetary policy rules are followed. The Taylor- rule, reacting to inflation and output gap, yields higher and more persistent inflation as well as stronger short-term interest rate increases. These findings are certainly model-specific but do reflect the policy sensitivity embedded of the NGFS scenarios, within the confines of the very model used to build them up.
JEL Code
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
E6 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
D6 : Microeconomics→Welfare Economics
15 February 2023
ECONOMIC BULLETIN - BOX
Economic Bulletin Issue 1, 2023
Details
Abstract
In line with the ECB’s comprehensive action plan to incorporate climate change considerations into its policy framework, technical assumptions on carbon pricing have been introduced in the Eurosystem/ECB staff macroeconomic projections, along with a regular evaluation of the impact of climate-related fiscal policies on the projections baseline. This box evaluates the impact of green fiscal measures on GDP growth and inflation and discusses potential effects and risks to the outlook posed by the EU Emissions Trading System (ETS) and non-fiscal climate-related measures. The overall impact of green measures on euro area real GDP growth is expected to be very small until 2025, and their impact on inflation is limited but increases slightly over time. Over the period 2022-25, fiscal measures that are detrimental to the green transition outweigh green measures. Changes to the EU ETS under the “Fit for 55” package, and the sustained shift towards renewable energy sources implied by regulation, could pose both upside and downside risks to the inflation outlook, especially from 2025 onwards.
JEL Code
Q58 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Government Policy
O44 : Economic Development, Technological Change, and Growth→Economic Growth and Aggregate Productivity→Environment and Growth
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
23 September 2022
WORKING PAPER SERIES - No. 2730
Details
Abstract
We propose a new and time-varying optimum currency area (OCA) index for the euro area in assessing the evolution of the OCA properties of the monetary union from an international business cycle perspective. It is derived from the relative importance of symmetric vs. asymmetric shocks that result from a sign and zero restricted open-economy structural vector autoregression (VAR) model. We argue that the euro area is more appropriate through the lens of empirical OCA properties when the relative importance of common symmetric shocks is high, but, at the same time, is not overly dispersed across euro area member countries. We find that symmetric shocks have been the dominant drivers of business cycles across euro area countries. Our OCA index, nevertheless, shows that cyclical convergence among euro area members is not a steady process as it tends to be disrupted by crises, especially those not primarily triggered by common external shocks. In the aftermath of a crisis the OCA index embarks on a recovery trajectory catching up with its pre-crisis level. Our OCA index is slow-moving and a good reflection of changing underlying economic structures across the euro area and, therefore, informative about the ability of monetary policy to stabilise the euro area economy in the medium run.
JEL Code
F33 : International Economics→International Finance→International Monetary Arrangements and Institutions
F44 : International Economics→Macroeconomic Aspects of International Trade and Finance→International Business Cycles
E42 : Macroeconomics and Monetary Economics→Money and Interest Rates→Monetary Systems, Standards, Regimes, Government and the Monetary System, Payment Systems
22 August 2022
WORKING PAPER SERIES - No. 2716
Details
Abstract
We estimate the euro area output gap by applying the Beveridge-Nelson decomposition based on a large Bayesian vector autoregression. Our approach incorporates multivariate information through the inclusion of a wide range of variables in the analysis and addresses data issues associated with the COVID-19 pandemic. The estimated output gap lines up well with the CEPR chronology of the business cycle for the euro area and we find that hours worked, more than the unemployment rate, provides the key source of information about labor utilization in the economy, especially in pinning down the depth of the output gap during the COVID-19 recession when the unemployment rate rose only moderately. Our findings suggest that labor market adjustments to the business cycle in the euro area occur more through the intensive, rather than extensive, margin.
JEL Code
C18 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Methodological Issues: General
E17 : Macroeconomics and Monetary Economics→General Aggregative Models→Forecasting and Simulation: Models and Applications
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
4 August 2022
WORKING PAPER SERIES - No. 2696
Details
Abstract
We investigate the factors driving current account and monetary policy developments in the euro area. We estimate an open-economy structural vector autoregression (VAR) model with zero and sign restrictions derived from a multi-country dynamic stochastic general equilibrium (DSGE) model to identify relevant shocks and analyse their impact on the current account and interest rate. Examining the VAR impulse responses for Germany, Italy and Spain we find that investment shocks and preference shocks drive the current account and interest rates in the opposite directions. By contrast, external demand shocks and productivity shocks cause both the current account balance and interest rate to move in the same direction. We also provide evidence for spillovers to the euro area from US preference shocks and US interest rate policy shocks.
JEL Code
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
F32 : International Economics→International Finance→Current Account Adjustment, Short-Term Capital Movements
F45 : International Economics→Macroeconomic Aspects of International Trade and Finance
3 August 2022
ECONOMIC BULLETIN - ARTICLE