The effect: an introduction to research design and causality
The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts o...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2022
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts of causality, with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we "add a control variable" what does that actually do? |
| Beschreibung: | xxvi, 619 Seiten Illustrationen, Diagramme |
| ISBN: | 9781032125787 9781032127453 |
Internformat
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| 100 | 1 | |a Huntington-Klein, Nick |e Verfasser |0 (DE-588)1250254566 |4 aut | |
| 245 | 1 | 0 | |a The effect |b an introduction to research design and causality |c Nick Huntington-Klein |
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c 2022 | |
| 264 | 4 | |c © 2022 | |
| 300 | |a xxvi, 619 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
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| 520 | 3 | |a The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts of causality, with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we "add a control variable" what does that actually do? | |
| 650 | 0 | 7 | |a Empirische Sozialforschung |0 (DE-588)4014606-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Kausalität |0 (DE-588)4030102-3 |2 gnd |9 rswk-swf |
| 653 | |a designbasierter Kausalschluss | ||
| 653 | |a Kausalschluss | ||
| 653 | |a kausale Inferenz | ||
| 653 | |a quantitative Forschungsmethoden | ||
| 689 | 0 | 0 | |a Kausalität |0 (DE-588)4030102-3 |D s |
| 689 | 0 | 1 | |a Empirische Sozialforschung |0 (DE-588)4014606-6 |D s |
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Datensatz im Suchindex
| _version_ | 1804183057584881664 |
|---|---|
| adam_text | Contents Introduction xix I The Design of Research X 1 Designing Research 3 2 Research Questions 9 3 Describing Variables 19 4 Describing Relationships 45 5 Identification 67 6 Causal Diagrams 87 7 Drawing Causal Diagrams 101 8 Causal Paths and Closing Back Doors 115 9 Finding Front Doors 129 10 Treatment Effects 143 11 Causality with Less Modeling 161 11 The Toolbox 173 12 Opening the Toolbox 175 13 Regression 179 14 Matching 267 15 Simulation 327 16 Fixed Effects 381
Vill 17 Event Studies 407 18 Difference-in-Differences 435 19 Instrumental Variables 469 20 Regression Discontinuity 505 21 A Gallery of Rogues: Other Methods 555 22 Under the Rug 579 Bibliography 601 Index 617
|
| adam_txt |
Contents Introduction xix I The Design of Research X 1 Designing Research 3 2 Research Questions 9 3 Describing Variables 19 4 Describing Relationships 45 5 Identification 67 6 Causal Diagrams 87 7 Drawing Causal Diagrams 101 8 Causal Paths and Closing Back Doors 115 9 Finding Front Doors 129 10 Treatment Effects 143 11 Causality with Less Modeling 161 11 The Toolbox 173 12 Opening the Toolbox 175 13 Regression 179 14 Matching 267 15 Simulation 327 16 Fixed Effects 381
Vill 17 Event Studies 407 18 Difference-in-Differences 435 19 Instrumental Variables 469 20 Regression Discontinuity 505 21 A Gallery of Rogues: Other Methods 555 22 Under the Rug 579 Bibliography 601 Index 617 |
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| author | Huntington-Klein, Nick |
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| callnumber-first | Q - Science |
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| ctrlnum | (OCoLC)1281991929 (DE-599)BVBBV047620098 |
| dewey-full | 530.01 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 530 - Physics |
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| dewey-search | 530.01 |
| dewey-sort | 3530.01 |
| dewey-tens | 530 - Physics |
| discipline | Physik Soziologie Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Physik Soziologie Mathematik Wirtschaftswissenschaften |
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| illustrated | Illustrated |
| index_date | 2024-07-03T18:42:37Z |
| indexdate | 2024-07-10T09:17:24Z |
| institution | BVB |
| isbn | 9781032125787 9781032127453 |
| language | English |
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| physical | xxvi, 619 Seiten Illustrationen, Diagramme |
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| spelling | Huntington-Klein, Nick Verfasser (DE-588)1250254566 aut The effect an introduction to research design and causality Nick Huntington-Klein Boca Raton ; London ; New York CRC Press 2022 © 2022 xxvi, 619 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts of causality, with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we "add a control variable" what does that actually do? Empirische Sozialforschung (DE-588)4014606-6 gnd rswk-swf Kausalität (DE-588)4030102-3 gnd rswk-swf designbasierter Kausalschluss Kausalschluss kausale Inferenz quantitative Forschungsmethoden Kausalität (DE-588)4030102-3 s Empirische Sozialforschung (DE-588)4014606-6 s DE-604 Erscheint auch als Online-Ausgabe 978-1-003-22605-5 Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033004756&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Huntington-Klein, Nick The effect an introduction to research design and causality Empirische Sozialforschung (DE-588)4014606-6 gnd Kausalität (DE-588)4030102-3 gnd |
| subject_GND | (DE-588)4014606-6 (DE-588)4030102-3 |
| title | The effect an introduction to research design and causality |
| title_auth | The effect an introduction to research design and causality |
| title_exact_search | The effect an introduction to research design and causality |
| title_exact_search_txtP | The effect an introduction to research design and causality |
| title_full | The effect an introduction to research design and causality Nick Huntington-Klein |
| title_fullStr | The effect an introduction to research design and causality Nick Huntington-Klein |
| title_full_unstemmed | The effect an introduction to research design and causality Nick Huntington-Klein |
| title_short | The effect |
| title_sort | the effect an introduction to research design and causality |
| title_sub | an introduction to research design and causality |
| topic | Empirische Sozialforschung (DE-588)4014606-6 gnd Kausalität (DE-588)4030102-3 gnd |
| topic_facet | Empirische Sozialforschung Kausalität |
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