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David Colander: Overview, Related Topics & Entities

David Charles Colander (November 16, 1947 – December 4, 2023) was an American economist, and the Christian A. Johnson Distinguished Professor of Economics at Middlebury College. He is known for his study of the economics profession itself and socioeconomics. His books The Making of an Economist and its later edition, The Making of an Economist, Redux…

Language: English [EN]
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David Colander topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around David Colander.

Related topics
12
Source areas
1
Connected nodes
13
Extracted relationships
7
Related term clusters
12
Bridge connections
13

What this topic covers Research coverage

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.

Overview · 12 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Alma mater
Columbia University
Born
(1947-11-16)November 16, 1947 Jamestown, New York
Died
December 4, 2023(2023-12-04) (aged 76)
Discipline
Macroeconomics
Doctoral advisor
William Vickrey
Institutions
Middlebury College

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Explore all related topics Closing gaps

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.

Overview

For the semantics nerds

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Advanced semantic analysis

How David Colander connects Entity context

The extracted context around David Colander shows recurring relationship patterns in the source. For example, David Colander → Columbia University Another extracted example is David Colander → (1947-11-16)November 16, 1947 Jamestown, New York. Use these groups to spot repeated connection types before inspecting the individual relationships.

David Colander

Top relations

Alma mater · 1
David Colander → Columbia University
Born · 1
David Colander → (1947-11-16)November 16, 1947 Jamestown, New York
Died · 1
David Colander → December 4, 2023(2023-12-04) (aged 76)
Discipline · 1
David Colander → Macroeconomics
Doctoral advisor · 1
David Colander → William Vickrey
Institutions · 1
David Colander → Middlebury College
Website · 1
David Colander → Information at IDEAS / RePEc

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

economics economic college ideas economist colander education approach middlebury university distinguished professor books later called complexity policy received princeton society

David Colander relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around David Colander. Examples in this analysis include David Colander → Alma mater → Columbia University and David Colander → Born → (1947-11-16)November 16, 1947 Jamestown, New York. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
David ColanderAlma materColumbia University1.00infobox
David ColanderBorn(1947-11-16)November 16, 1947 Jamestown, New York1.00infobox
David ColanderDiedDecember 4, 2023(2023-12-04) (aged 76)1.00infobox
David ColanderDisciplineMacroeconomics1.00infobox
David ColanderDoctoral advisorWilliam Vickrey1.00infobox
David ColanderInstitutionsMiddlebury College1.00infobox
David ColanderWebsiteInformation at IDEAS / RePEc1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around David Colander bring nearby vocabulary together. In this analysis, examples include American, Christian and December. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • David Colander
    • American
    • Christian
    • December
    • November
    • David
    • Economist
    • Columbia
    • Princeton
    • Received
    • Middlebury
    • University
    • College
  • david colander
    • American
    • Christian
    • December
    • November
    • Economist
    • David
    • Columbia
    • Princeton
    • Received
    • Middlebury
    • University
    • College
  • complexity economics
    • Complexity
    • Economics
    • Policy
    • Education
    • Economic
    • Johnson
    • Socioeconomics
    • Also
    • Career
    • Professor
    • Society
    • Middlebury
  • journal of economic education
    • Approach
    • Education
    • Ideas
    • Journals
    • Policy
    • Received
    • Society
    • Formal
    • Intuitive
    • Mit
    • Models
    • Economist
  • economics
    • Complexity
    • Johnson
    • Socioeconomics
    • Also
    • Career
    • Policy
    • Professor
    • Society
    • Education
    • Middlebury
    • College
    • Economic
  • middlebury college
    • Middlebury
    • Columbia
    • University
    • Johnson
    • Princeton
    • Professor
    • Received
    • Also
    • Distinguished
    • Policy
    • Ideas
    • Economics
  • vassar college
    • Middlebury
    • Columbia
    • University
    • Johnson
    • Also
    • Distinguished
    • Policy
    • Princeton
    • Professor
    • Received
    • Ideas
    • Economics
  • journal of economic perspectives
    • Approach
    • Education
    • Ideas
    • Formal
    • Intuitive
    • Journals
    • Mit
    • Models
    • Policy
    • Society
    • Economist
    • Economics

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the David Colander map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

David Colander

Nodes14
Edges13
Triples7
Avg. degree1.86
Density0.142857
Components1

Source & methodology

TTTA analyzes the structure around David Colander to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — David Colander · EN edition · Analysis: TopicsToTalkAbout

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