Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
jeffgortmaker.com is the personal academic homepage of economist Jeff Gortmaker. According to the site, he is a postdoctoral researcher in the Princeton Department of Economics, will join NYU Stern as an Assistant Professor of Economics in July 2026, received a PhD in Business Economics from Harvard in 2025, and works in industrial organization. This is not a standard online course platform; rather, it is an academic resource page that brings together papers, open-source software, and a small amount of teaching material.
The education-related content is mainly the Demand Estimation Mixtape Session under “Teaching Materials,” which includes Intro, Day 1, Exercise 1, Day 2, Exercise 2, Day 3, and Exercise 3, with a note linking it to Ariel Pakes. Taken together with the rest of the site, the learning topics focus on differentiated-products demand estimation, industrial organization, and PyBLP. The format is closer to public lecture notes and exercise links than to a video course, live class, or LMS-based course. Certifications/certificates, study duration, prerequisites, homework grading, and similar details are not mentioned. The language is English.
The main text does not show any pricing or payment entry point. The papers, software documentation, and teaching materials appear to be publicly linked, but specific copyright terms, download restrictions, or long-term availability are not stated. Support is mainly via the author’s email, along with Documentation and Issues links for PyBLP and PyHDFE. This is more like academic and open-source project support than course customer service.
The strengths are a strong academic background, a highly specialized research focus, and close connections between the papers, software, and teaching materials, making the site useful for serious research or methodological replication. The page is simple and makes it easy to locate the CV, papers, code documentation, and demand-estimation materials. The drawbacks are also clear: this is not a structured course, and it lacks a clear learning path, chapter objectives, quizzes, certificates, or a learning community. The crawled content also contains a lot of garbled PDF text, so the detailed quality of the lecture notes cannot be verified.
It is best suited to economics PhD students, industrial organization researchers, econometrics learners who need to use PyBLP/PyHDFE, and people who already have a foundation in microeconometrics and programming. It is not well suited to complete beginners, career learners seeking a certificate, or learners who need Chinese-language explanations and systematic guidance.
Based on the available text alone, access from mainland China cannot be determined, so it is assessed as “unknown.” If the materials depend on external PDFs, GitHub Issues, or documentation sites, the actual access experience may be affected by those external resources.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on jeffgortmaker.com official site.
jeffgortmaker.com is an US Education provider. TG4G tracks its product information, an overall rating of 4.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach jeffgortmaker.com directly.