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Andrew Michael Spence (* 7. listopadu 1943 Montclair, New Jersey) je americký ekonom, který v roce 2001 spolu s Georgem Akerlofem a Josephem Stiglitzem získal Cenu Švédské národní banky za rozvoj ekonomické vědy na památku Alfreda Nobela za „analýzu trhů při existenci asymetrických informací“. Vystudoval filosofii na Princetonské univerzitě, matematiku…
The analysis highlights Overview, Výběr z díla and Odkazy as prominent areas in the source structure around Michael Spence.
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.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
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 Michael Spence shows recurring relationship patterns in the source. For example, Michael Spence → Autobiografie, Nobelprize, Obrázky, Wikimedia Commons Another extracted example is Michael Spence → Harvardova univerzita (Ph.D.) Oxfordská univerzita (B.A.) Princetonská univerzita (B.A.). 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.
spence montclair listopadu new jersey 1943 michael 2001 usa ekonomii datové položky americký ekonom filosofii matematiku market signaling press andrew
TTTA extracted 12 structured relationships around Michael Spence. Examples in this analysis include Michael Spence → Alma mater → Harvardova univerzita (Ph.D.) Oxfordská univerzita (B.A.) Princetonská univerzita (B.A.) and Michael Spence → Narození → 7. listopadu 1943 (82 let) Montclair, New Jersey, USA. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Michael Spence | Alma mater | Harvardova univerzita (Ph.D.) Oxfordská univerzita (B.A.) Princetonská univerzita (B.A.) | 1.00 | infobox |
| Michael Spence | Narození | 7. listopadu 1943 (82 let) Montclair, New Jersey, USA | 1.00 | infobox |
| Michael Spence | Národnost | Spojené státy americké | 1.00 | infobox |
| Michael Spence | Obor | ekonomie | 1.00 | infobox |
| Michael Spence | Ocenění | John Bates Clark Medal (1981) Nobelova cena za ekonomii (2001) | 1.00 | infobox |
| Michael Spence | Pracoviště | Harvardova univerzita Stanfordova univerzita | 1.00 | infobox |
| Michael Spence | Známý díky | signalizační teorie | 1.00 | infobox |
| Michael Spence | related to Externí odkazy | Obrázky | 0.60 | section |
| Michael Spence | related to Externí odkazy | Wikimedia Commons | 0.60 | section |
| Michael Spence | related to Externí odkazy | Autobiografie | 0.60 | section |
| Michael Spence | related to Externí odkazy | Nobelprize | 0.60 | section |
| Michael Spence | related to Reference | Wikipedii | 0.60 | section |
The concept neighborhoods around Michael Spence bring nearby vocabulary together. In this analysis, examples include Spence, Banky and Cenu. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Michael Spence, one of the stronger structural bridges in this analysis connects Michael Spence with Overview. 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 Michael Spence to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Výběr z díla & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Michael Spence · CS edition · Analysis: TopicsToTalkAbout