Developing statistical methods for structural change analysis using panel data

• Project/Area Number: 24K16343
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 07030:Economic statistics-related
• Research Institution: Tokyo Metropolitan University
• Principal Investigator: Jiang Peiyun 東京都立大学, 経営学研究科, 助教 (20906929)
• Project Period (FY): 2024-04-01 – 2029-03-31
• Project Status: Granted (Fiscal Year 2024)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2028: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2027: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2026: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2025: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2024: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
• Keywords: structural change / factor models / panel data

Outline of Research at the Start

This research project aims to develop statistical methods for detecting structural change and cope with the issues arising from introducing factor structure to capture unobserved heterogeneity in panel data models to help understand economic shocks.