Jiaying Gu, University of Toronto

Research

education measurement and evaluation nonparametric shrinkage estimator panel data teacher value-added (1) structural dynamic discrete choice model (2) individual unobserved heterogeneity (3) fixed-effect method (4) identification

Latest funding

Optimal Policy Choice Under Weak Modelling Assumptions
SSHRC · 2022 · Co-investigator
$17,795
Optimal Policy Choice Under Weak Modelling Assumptions
SSHRC · 2022 · Co-investigator
$37,042
A new approach for estimating teacher value-added
SSHRC · 2018 · Principal investigator
$90,215

All 4 grants and awards

Optimal Policy Choice Under Weak Modelling Assumptions

Co-investigatorSSHRC2022Insight Grants

Principal investigators: Russell, Thomas M.

Keywords: partial identification; decision theory; counterfactuals; policy analysis; structural modelling

$17,795

Optimal Policy Choice Under Weak Modelling Assumptions

Co-investigatorSSHRC2022Insight Grants

Principal investigators: Russell, Thomas M.

Keywords: partial identification; decision theory; counterfactuals; policy analysis; structural modelling

$37,042

A new approach for estimating teacher value-added

Principal investigatorSSHRC2018Insight Grants

Principal investigators: Gu, Jiaying

Keywords: education measurement and evaluation; nonparametric shrinkage estimator; panel data; teacher value-added

$90,215

Unobserved Heterogeneity in Structural Dynamic Discrete Choice Models

Principal investigatorSSHRC2018Insight Development Grant

Principal investigators: Gu, Jiaying

Keywords: (1) structural dynamic discrete choice model; (2) individual unobserved heterogeneity; (3) fixed-effect method; (4) identification; (5) estimation; (6) counterfactual analyses

$40,077

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Subject: Prospective PhD student: education measurement and evaluation Dear Professor Gu, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on education measurement and evaluation connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]