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William Russell Easterly (born September 7, 1957) is an American economist specializing in economic development. He is a professor of economics at New York University, joint with Africa House, and co-director of NYU's Development Research Institute. He is a Research Associate of NBER, senior fellow at the Bureau for Research and Economic Analysis of…
The analysis highlights Works and Regions as prominent areas in the source structure around William Easterly.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around William Easterly shows recurring relationship patterns in the source. For example, William Easterly → Brookings InstitutionWilliam Easterly, C-SPAN, Easterly's, IMDbAppearances Another extracted example is William Easterly → (1957-09-07) September 7, 1957 (age 68) Morgantown, West Virginia, U.S.. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
easterly development aid university economic foreign william rights poor growth isbn many economist efforts experts world economics books white burden
TTTA extracted 27 structured relationships around William Easterly. Examples in this analysis include William Easterly → Born → (1957-09-07) September 7, 1957 (age 68) Morgantown, West Virginia, U.S. and William Easterly → Discipline → Political economy, International development. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| William Easterly | Born | (1957-09-07) September 7, 1957 (age 68) Morgantown, West Virginia, U.S. | 1.00 | infobox |
| William Easterly | Discipline | Political economy, International development | 1.00 | infobox |
| William Easterly | Doctoral advisor | Lance J. Taylor | 1.00 | infobox |
| William Easterly | Education | Bowling Green State University (BA) Massachusetts Institute of Technology (PhD) | 1.00 | infobox |
| William Easterly | Influences | Friedrich von Hayek, Milton Friedman | 1.00 | infobox |
| William Easterly | School or tradition | Chicago School | 1.00 | infobox |
| William Easterly | Website | Information at IDEAS / RePEc | 1.00 | infobox |
| mosquito nets or latrines | instance of | champion technical solutions | 0.80 | text |
| believing they will end poverty | instance of | champion technical solutions | 0.80 | text |
| National Public Radio | instance of | to which he offered a counter-rebuttal.Easterly's work has been discussed in media outlets | 0.80 | text |
| the BBC | instance of | to which he offered a counter-rebuttal.Easterly's work has been discussed in media outlets | 0.80 | text |
| the New York Times | instance of | to which he offered a counter-rebuttal.Easterly's work has been discussed in media outlets | 0.80 | text |
The concept neighborhoods around William Easterly bring nearby vocabulary together. In this analysis, examples include Isbn, Easterly and William. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For William Easterly, one of the stronger structural bridges in this analysis connects William Easterly with Academic work. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around William Easterly to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — William Easterly · EN edition · Analysis: TopicsToTalkAbout