• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Combining Forces: New Two-stage Approaches for Causal Inference

Research Project

Project/Area Number 25K05032
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 07030:Economic statistics-related
Research InstitutionUniversity of Tsukuba

Principal Investigator

余 征飛  筑波大学, 人文社会系, 准教授 (40774758)

Project Period (FY) 2025-04-01 – 2029-03-31
Project Status Granted (Fiscal Year 2025)
Budget Amount *help
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2028: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2027: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2026: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2025: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
KeywordsCausal inference / Endogeneity / Bayesian method / Bootstrap
Outline of Research at the Start

This project investigates scenarios in which combining estimators of different natures helps to facilitate and enrich causal inference in economics. It focuses on two models. Model #1: for discrete choice models with endogeneity, this project develops a method that combines a first-stage frequentist estimator for the control function with a second-stage Bayesian approach for the structural parameters. Model #2: for the individual treatment effect (ITE) in a non-separable triangular model, this project studies pointwise and uniform inference of the distribution of ITE.

URL: 

Published: 2025-04-17   Modified: 2025-06-20  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi