A solution to the ecological inference problem: reconstructing individual behavior from aggregate data
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Princeton, NJ
Princeton University Press
[1997]
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| Schlagwörter: | |
| Links: | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=634984 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=634984 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=634984 |
| Beschreibung: | Description based on print version record |
| Umfang: | 1 online resource (xxii, 342 pages) illustrations |
| ISBN: | 0691012407 0691012415 1400849209 9780691012407 9780691012414 9781400849208 |
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| 505 | 8 | |a pt. I. Introduction. 1. Qualitative Overview. 2. Formal Statement of the Problem -- pt. II. Catalog of Problems to Fix. 3. Aggregation Problems. 4. Non-Aggregation Problems -- pt. III. The Proposed Solution. 5. The Data: Generalizing the Method of Bounds. 6. The Model. 7. Preliminary Estimation. 8. Calculating Quantities of Interest. 9. Model Extensions -- pt. IV. Verification. 10. A Typical Application Described in Detail: Voter Registration by Race. 11. Robustness to Aggregation Bias: Poverty Status by Sex. 12. Estimation without Information: Black Registration in Kentucky. 13. Classic Ecological Inferences -- pt. V. Generalizations and Concluding Suggestions. 14. Non-Ecological Aggregation Problems. 15. Ecological Inference in Larger Tables. 16. A Concluding Checklist -- App. A. Proof That All Discrepancies Are Equivalent -- App. B. Parameter Bounds -- App. C. Conditional Posterior Distribution -- App. D. The Likelihood Function | |
| 505 | 8 | |a This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over 75 years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data? In political science, this question arises when individual-level surveys are unavailable (for instance, local or comparative electoral politics), unreliable (racial politics), insufficient (political geography), or infeasible (political history). This ecological inference problem also confronts researchers in numerous areas of major significance in public policy, and other academic disciplines, ranging from epidemiology and marketing to sociology and quantitative history. Although many have attempted to make such cross-level inferences, scholars agree that all existing methods yield very inaccurate conclusions about the world. In this volume, Gary King lays out a unique - and reliable - solution to this venerable problem | |
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Datensatz im Suchindex
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| any_adam_object | |
| author | King, Gary 1958- |
| author_facet | King, Gary 1958- |
| author_role | aut |
| author_sort | King, Gary 1958- |
| author_variant | g k gk |
| building | Verbundindex |
| bvnumber | BV043033546 |
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| contents | pt. I. Introduction. 1. Qualitative Overview. 2. Formal Statement of the Problem -- pt. II. Catalog of Problems to Fix. 3. Aggregation Problems. 4. Non-Aggregation Problems -- pt. III. The Proposed Solution. 5. The Data: Generalizing the Method of Bounds. 6. The Model. 7. Preliminary Estimation. 8. Calculating Quantities of Interest. 9. Model Extensions -- pt. IV. Verification. 10. A Typical Application Described in Detail: Voter Registration by Race. 11. Robustness to Aggregation Bias: Poverty Status by Sex. 12. Estimation without Information: Black Registration in Kentucky. 13. Classic Ecological Inferences -- pt. V. Generalizations and Concluding Suggestions. 14. Non-Ecological Aggregation Problems. 15. Ecological Inference in Larger Tables. 16. A Concluding Checklist -- App. A. Proof That All Discrepancies Are Equivalent -- App. B. Parameter Bounds -- App. C. Conditional Posterior Distribution -- App. D. The Likelihood Function This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over 75 years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data? In political science, this question arises when individual-level surveys are unavailable (for instance, local or comparative electoral politics), unreliable (racial politics), insufficient (political geography), or infeasible (political history). This ecological inference problem also confronts researchers in numerous areas of major significance in public policy, and other academic disciplines, ranging from epidemiology and marketing to sociology and quantitative history. Although many have attempted to make such cross-level inferences, scholars agree that all existing methods yield very inaccurate conclusions about the world. In this volume, Gary King lays out a unique - and reliable - solution to this venerable problem |
| ctrlnum | (OCoLC)857769636 (DE-599)BVBBV043033546 |
| dewey-full | 320/.072 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 320 - Political science (Politics and government) |
| dewey-raw | 320/.072 |
| dewey-search | 320/.072 |
| dewey-sort | 3320 272 |
| dewey-tens | 320 - Political science (Politics and government) |
| discipline | Politologie |
| format | Electronic eBook |
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| spelling | King, Gary 1958- Verfasser aut A solution to the ecological inference problem reconstructing individual behavior from aggregate data Gary King Princeton, NJ Princeton University Press [1997] © 1997 1 online resource (xxii, 342 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Description based on print version record pt. I. Introduction. 1. Qualitative Overview. 2. Formal Statement of the Problem -- pt. II. Catalog of Problems to Fix. 3. Aggregation Problems. 4. Non-Aggregation Problems -- pt. III. The Proposed Solution. 5. The Data: Generalizing the Method of Bounds. 6. The Model. 7. Preliminary Estimation. 8. Calculating Quantities of Interest. 9. Model Extensions -- pt. IV. Verification. 10. A Typical Application Described in Detail: Voter Registration by Race. 11. Robustness to Aggregation Bias: Poverty Status by Sex. 12. Estimation without Information: Black Registration in Kentucky. 13. Classic Ecological Inferences -- pt. V. Generalizations and Concluding Suggestions. 14. Non-Ecological Aggregation Problems. 15. Ecological Inference in Larger Tables. 16. A Concluding Checklist -- App. A. Proof That All Discrepancies Are Equivalent -- App. B. Parameter Bounds -- App. C. Conditional Posterior Distribution -- App. D. The Likelihood Function This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over 75 years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data? In political science, this question arises when individual-level surveys are unavailable (for instance, local or comparative electoral politics), unreliable (racial politics), insufficient (political geography), or infeasible (political history). This ecological inference problem also confronts researchers in numerous areas of major significance in public policy, and other academic disciplines, ranging from epidemiology and marketing to sociology and quantitative history. Although many have attempted to make such cross-level inferences, scholars agree that all existing methods yield very inaccurate conclusions about the world. In this volume, Gary King lays out a unique - and reliable - solution to this venerable problem Inferencia Science politique / Méthodes statistiques Inférence (Logique) Aggregatie gtt Politieke wetenschappen gtt Umweltschutz swd Interferenz swd Interferenz (Ökologie) swd POLITICAL SCIENCE / Essays bisacsh POLITICAL SCIENCE / Government / General bisacsh POLITICAL SCIENCE / Government / National bisacsh POLITICAL SCIENCE / Reference bisacsh POLITICAL SCIENCE / History & Theory bisacsh Inference fast Political statistics fast Political statistics Inference Interferenz Ökologie (DE-588)4261387-5 gnd rswk-swf Interferenz (DE-588)4197629-0 gnd rswk-swf Umweltschutz (DE-588)4061644-7 gnd rswk-swf 1\p (DE-588)4056995-0 Statistik gnd-content Umweltschutz (DE-588)4061644-7 s Interferenz (DE-588)4197629-0 s 2\p DE-604 Interferenz Ökologie (DE-588)4261387-5 s 3\p DE-604 Erscheint auch als Druck-Ausgabe King, Gary, 1958- Solution to the ecological inference problem http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=634984 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | King, Gary 1958- A solution to the ecological inference problem reconstructing individual behavior from aggregate data pt. I. Introduction. 1. Qualitative Overview. 2. Formal Statement of the Problem -- pt. II. Catalog of Problems to Fix. 3. Aggregation Problems. 4. Non-Aggregation Problems -- pt. III. The Proposed Solution. 5. The Data: Generalizing the Method of Bounds. 6. The Model. 7. Preliminary Estimation. 8. Calculating Quantities of Interest. 9. Model Extensions -- pt. IV. Verification. 10. A Typical Application Described in Detail: Voter Registration by Race. 11. Robustness to Aggregation Bias: Poverty Status by Sex. 12. Estimation without Information: Black Registration in Kentucky. 13. Classic Ecological Inferences -- pt. V. Generalizations and Concluding Suggestions. 14. Non-Ecological Aggregation Problems. 15. Ecological Inference in Larger Tables. 16. A Concluding Checklist -- App. A. Proof That All Discrepancies Are Equivalent -- App. B. Parameter Bounds -- App. C. Conditional Posterior Distribution -- App. D. The Likelihood Function This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over 75 years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data? In political science, this question arises when individual-level surveys are unavailable (for instance, local or comparative electoral politics), unreliable (racial politics), insufficient (political geography), or infeasible (political history). This ecological inference problem also confronts researchers in numerous areas of major significance in public policy, and other academic disciplines, ranging from epidemiology and marketing to sociology and quantitative history. Although many have attempted to make such cross-level inferences, scholars agree that all existing methods yield very inaccurate conclusions about the world. In this volume, Gary King lays out a unique - and reliable - solution to this venerable problem Inferencia Science politique / Méthodes statistiques Inférence (Logique) Aggregatie gtt Politieke wetenschappen gtt Umweltschutz swd Interferenz swd Interferenz (Ökologie) swd POLITICAL SCIENCE / Essays bisacsh POLITICAL SCIENCE / Government / General bisacsh POLITICAL SCIENCE / Government / National bisacsh POLITICAL SCIENCE / Reference bisacsh POLITICAL SCIENCE / History & Theory bisacsh Inference fast Political statistics fast Political statistics Inference Interferenz Ökologie (DE-588)4261387-5 gnd Interferenz (DE-588)4197629-0 gnd Umweltschutz (DE-588)4061644-7 gnd |
| subject_GND | (DE-588)4261387-5 (DE-588)4197629-0 (DE-588)4061644-7 (DE-588)4056995-0 |
| title | A solution to the ecological inference problem reconstructing individual behavior from aggregate data |
| title_auth | A solution to the ecological inference problem reconstructing individual behavior from aggregate data |
| title_exact_search | A solution to the ecological inference problem reconstructing individual behavior from aggregate data |
| title_full | A solution to the ecological inference problem reconstructing individual behavior from aggregate data Gary King |
| title_fullStr | A solution to the ecological inference problem reconstructing individual behavior from aggregate data Gary King |
| title_full_unstemmed | A solution to the ecological inference problem reconstructing individual behavior from aggregate data Gary King |
| title_short | A solution to the ecological inference problem |
| title_sort | a solution to the ecological inference problem reconstructing individual behavior from aggregate data |
| title_sub | reconstructing individual behavior from aggregate data |
| topic | Inferencia Science politique / Méthodes statistiques Inférence (Logique) Aggregatie gtt Politieke wetenschappen gtt Umweltschutz swd Interferenz swd Interferenz (Ökologie) swd POLITICAL SCIENCE / Essays bisacsh POLITICAL SCIENCE / Government / General bisacsh POLITICAL SCIENCE / Government / National bisacsh POLITICAL SCIENCE / Reference bisacsh POLITICAL SCIENCE / History & Theory bisacsh Inference fast Political statistics fast Political statistics Inference Interferenz Ökologie (DE-588)4261387-5 gnd Interferenz (DE-588)4197629-0 gnd Umweltschutz (DE-588)4061644-7 gnd |
| topic_facet | Inferencia Science politique / Méthodes statistiques Inférence (Logique) Aggregatie Politieke wetenschappen Umweltschutz Interferenz Interferenz (Ökologie) POLITICAL SCIENCE / Essays POLITICAL SCIENCE / Government / General POLITICAL SCIENCE / Government / National POLITICAL SCIENCE / Reference POLITICAL SCIENCE / History & Theory Inference Political statistics Interferenz Ökologie Statistik |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=634984 |
| work_keys_str_mv | AT kinggary asolutiontotheecologicalinferenceproblemreconstructingindividualbehaviorfromaggregatedata |