Here you will find a list of ongoing research collaborations open to new contributors. Please feel free to contact me if you are interested in participating in any of the following projects.

NoteStudents: this means you too

Motivated Honours and MSc students are welcome to join these projects as research contributors — no prior research experience required, just reliability and curiosity. Typical involvement is a few hours per week on data work, literature reviews, or visualization. You will learn how research is actually produced, receive a reference that speaks to real work, and substantial contributions are credited (and can merit co-authorship). Email me at juan.zurita@ed.ac.uk with the project you are interested in and a sentence or two about your background. See also For Students.


Sectoral Wage Dynamics during Periods of Low and High Inflation (Open)

Co-author: Emiliano Carlevaro
Type of Collaboration: Data cleaning, Data visualization, Literature review

The Heterogeneous Effects of Capital Requirements on Credit Supply (Open)

Type of Collaboration: Research analysis, Data visualization

Household Debt and Low Labour Productivity: Implications for Labour Supply (Open)

Type of Collaboration: Data analysis, Research analysis, Data visualization, Literature review

Shock Therapy and Wages: Sectoral Effects of Fiscal Consolidation in Argentina (Open)

Type of Collaboration: Research analysis, Literature review, Data work, Data visualization

For Firms & Institutions: Data Partnerships

I am also open to research partnerships with banks, fintechs, and policy institutions that hold proprietary data on lending, wages, or household finances. I have extensive experience working with large administrative and financial datasets — U.S. Call Reports, HMDA mortgage data, HILDA household panel data, and individual wage records — and can turn your data into rigorous, independent analysis of questions you care about: credit conditions, interest-rate exposure, household resilience, wage dynamics.

What you get: peer-review-quality analysis, co-branded or independently published research, and findings you can use internally. What I need: data access under an appropriate agreement and a genuine question. If this sounds interesting, email juan.zurita@ed.ac.uk — see also Consulting & Policy for commissioned work.