Identification Problems in the Social Sciences / / Charles F. Manski.
This book provides a language and a set of tools for finding bounds on the predictions that social and behavioral scientists can logically make from nonexperimental and experimental data. The economist Charles Manski draws on examples from criminology, demography, epidemiology, social psychology, an...
Saved in:
VerfasserIn: | |
---|---|
Place / Publishing House: | Cambridge, MA : : Harvard University Press, , [2022] ©1999 |
Year of Publication: | 2022 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (194 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
9780674265790 |
---|---|
ctrlnum |
(DE-B1597)617606 |
collection |
bib_alma |
record_format |
marc |
spelling |
Manski, Charles F., author. aut http://id.loc.gov/vocabulary/relators/aut Identification Problems in the Social Sciences / Charles F. Manski. Cambridge, MA : Harvard University Press, [2022] ©1999 1 online resource (194 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Frontmatter -- Contents -- Preface -- Introduction -- I. Prediction with Incomplete Data -- 1. Conditional Prediction -- 2. Missing Outcomes -- 3. Instrumental Variables -- 4. Parametric Prediction -- 5. Decomposition of Mixtures -- 6. Response-Based Sampling -- II. Analysis of Treatment Response -- 7. The Selection Problem -- 8. Linear Simultaneous Equations -- 9. Monotone Treatment Response -- 10. The Mixing Problem -- 11. Planning under Ambiguity -- 12. Planning with Sample Data -- III. Predicting Choice Behavior -- 13. Revealed Preference Analysis -- 14. Measuring Expectations -- 15. Studying Human Decision Processes -- References -- Author Index -- Subject Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star This book provides a language and a set of tools for finding bounds on the predictions that social and behavioral scientists can logically make from nonexperimental and experimental data. The economist Charles Manski draws on examples from criminology, demography, epidemiology, social psychology, and sociology as well as economics to illustrate this language and to demonstrate the broad usefulness of the tools. There are many traditional ways to present identification problems in econometrics, sociology, and psychometrics. Some of these are primarily statistical in nature, using concepts such as flat likelihood functions and nondistinct parameter estimates. Manski's strategy is to divorce identification from purely statistical concepts and to present the logic of identification analysis in ways that are accessible to a wide audience in the social and behavioral sciences. In each case, problems are motivated by real examples with real policy importance, the mathematics is kept to a minimum, and the deductions on identifiability are derived giving fresh insights. Manski begins with the conceptual problem of extrapolating predictions from one population to some new population or to the future. He then analyzes in depth the fundamental selection problem that arises whenever a scientist tries to predict the effects of treatments on outcomes. He carefully specifies assumptions and develops his nonparametric methods of bounding predictions. Manski shows how these tools should be used to investigate common problems such as predicting the effect of family structure on children's outcomes and the effect of policing on crime rates. Successive chapters deal with topics ranging from the use of experiments to evaluate social programs, to the use of case-control sampling by epidemiologists studying the association of risk factors and disease, to the use of intentions data by demographers seeking to predict future fertility. The book closes by examining two central identification problems in the analysis of social interactions: the classical simultaneity problem of econometrics and the reflection problem faced in analyses of neighborhood and contextual effects. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 31. Jan 2022) Estimation theory. Social sciences Statistical methods. BUSINESS & ECONOMICS / Econometrics. bisacsh https://doi.org/10.4159/9780674265790?locatt=mode:legacy https://www.degruyter.com/isbn/9780674265790 Cover https://www.degruyter.com/document/cover/isbn/9780674265790/original |
language |
English |
format |
eBook |
author |
Manski, Charles F., Manski, Charles F., |
spellingShingle |
Manski, Charles F., Manski, Charles F., Identification Problems in the Social Sciences / Frontmatter -- Contents -- Preface -- Introduction -- I. Prediction with Incomplete Data -- 1. Conditional Prediction -- 2. Missing Outcomes -- 3. Instrumental Variables -- 4. Parametric Prediction -- 5. Decomposition of Mixtures -- 6. Response-Based Sampling -- II. Analysis of Treatment Response -- 7. The Selection Problem -- 8. Linear Simultaneous Equations -- 9. Monotone Treatment Response -- 10. The Mixing Problem -- 11. Planning under Ambiguity -- 12. Planning with Sample Data -- III. Predicting Choice Behavior -- 13. Revealed Preference Analysis -- 14. Measuring Expectations -- 15. Studying Human Decision Processes -- References -- Author Index -- Subject Index |
author_facet |
Manski, Charles F., Manski, Charles F., |
author_variant |
c f m cf cfm c f m cf cfm |
author_role |
VerfasserIn VerfasserIn |
author_sort |
Manski, Charles F., |
title |
Identification Problems in the Social Sciences / |
title_full |
Identification Problems in the Social Sciences / Charles F. Manski. |
title_fullStr |
Identification Problems in the Social Sciences / Charles F. Manski. |
title_full_unstemmed |
Identification Problems in the Social Sciences / Charles F. Manski. |
title_auth |
Identification Problems in the Social Sciences / |
title_alt |
Frontmatter -- Contents -- Preface -- Introduction -- I. Prediction with Incomplete Data -- 1. Conditional Prediction -- 2. Missing Outcomes -- 3. Instrumental Variables -- 4. Parametric Prediction -- 5. Decomposition of Mixtures -- 6. Response-Based Sampling -- II. Analysis of Treatment Response -- 7. The Selection Problem -- 8. Linear Simultaneous Equations -- 9. Monotone Treatment Response -- 10. The Mixing Problem -- 11. Planning under Ambiguity -- 12. Planning with Sample Data -- III. Predicting Choice Behavior -- 13. Revealed Preference Analysis -- 14. Measuring Expectations -- 15. Studying Human Decision Processes -- References -- Author Index -- Subject Index |
title_new |
Identification Problems in the Social Sciences / |
title_sort |
identification problems in the social sciences / |
publisher |
Harvard University Press, |
publishDate |
2022 |
physical |
1 online resource (194 p.) |
contents |
Frontmatter -- Contents -- Preface -- Introduction -- I. Prediction with Incomplete Data -- 1. Conditional Prediction -- 2. Missing Outcomes -- 3. Instrumental Variables -- 4. Parametric Prediction -- 5. Decomposition of Mixtures -- 6. Response-Based Sampling -- II. Analysis of Treatment Response -- 7. The Selection Problem -- 8. Linear Simultaneous Equations -- 9. Monotone Treatment Response -- 10. The Mixing Problem -- 11. Planning under Ambiguity -- 12. Planning with Sample Data -- III. Predicting Choice Behavior -- 13. Revealed Preference Analysis -- 14. Measuring Expectations -- 15. Studying Human Decision Processes -- References -- Author Index -- Subject Index |
isbn |
9780674265790 |
callnumber-first |
H - Social Science |
callnumber-subject |
HA - Statistics |
callnumber-label |
HA29 |
callnumber-sort |
HA 229 M2465 41995 |
url |
https://doi.org/10.4159/9780674265790?locatt=mode:legacy https://www.degruyter.com/isbn/9780674265790 https://www.degruyter.com/document/cover/isbn/9780674265790/original |
illustrated |
Not Illustrated |
dewey-hundreds |
300 - Social sciences |
dewey-tens |
300 - Social sciences, sociology & anthropology |
dewey-ones |
300 - Social sciences |
dewey-full |
300/.5/51 |
dewey-sort |
3300 15 251 |
dewey-raw |
300/.5/51 |
dewey-search |
300/.5/51 |
doi_str_mv |
10.4159/9780674265790?locatt=mode:legacy |
work_keys_str_mv |
AT manskicharlesf identificationproblemsinthesocialsciences |
status_str |
n |
ids_txt_mv |
(DE-B1597)617606 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Identification Problems in the Social Sciences / |
_version_ |
1770176213239726080 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05127nam a22006735i 4500</leader><controlfield tag="001">9780674265790</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20220131112047.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">220131t20221999mau fo d z eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780674265790</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4159/9780674265790</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)617606</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-B1597</subfield><subfield code="b">eng</subfield><subfield code="c">DE-B1597</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">mau</subfield><subfield code="c">US-MA</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">HA29</subfield><subfield code="b">.M2465 1995</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">BUS021000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">300/.5/51</subfield><subfield code="2">20</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Manski, Charles F., </subfield><subfield code="e">author.</subfield><subfield code="4">aut</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Identification Problems in the Social Sciences /</subfield><subfield code="c">Charles F. Manski.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, MA : </subfield><subfield code="b">Harvard University Press, </subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©1999</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (194 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="b">PDF</subfield><subfield code="2">rda</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">Preface -- </subfield><subfield code="t">Introduction -- </subfield><subfield code="t">I. Prediction with Incomplete Data -- </subfield><subfield code="t">1. Conditional Prediction -- </subfield><subfield code="t">2. Missing Outcomes -- </subfield><subfield code="t">3. Instrumental Variables -- </subfield><subfield code="t">4. Parametric Prediction -- </subfield><subfield code="t">5. Decomposition of Mixtures -- </subfield><subfield code="t">6. Response-Based Sampling -- </subfield><subfield code="t">II. Analysis of Treatment Response -- </subfield><subfield code="t">7. The Selection Problem -- </subfield><subfield code="t">8. Linear Simultaneous Equations -- </subfield><subfield code="t">9. Monotone Treatment Response -- </subfield><subfield code="t">10. The Mixing Problem -- </subfield><subfield code="t">11. Planning under Ambiguity -- </subfield><subfield code="t">12. Planning with Sample Data -- </subfield><subfield code="t">III. Predicting Choice Behavior -- </subfield><subfield code="t">13. Revealed Preference Analysis -- </subfield><subfield code="t">14. Measuring Expectations -- </subfield><subfield code="t">15. Studying Human Decision Processes -- </subfield><subfield code="t">References -- </subfield><subfield code="t">Author Index -- </subfield><subfield code="t">Subject Index</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">restricted access</subfield><subfield code="u">http://purl.org/coar/access_right/c_16ec</subfield><subfield code="f">online access with authorization</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book provides a language and a set of tools for finding bounds on the predictions that social and behavioral scientists can logically make from nonexperimental and experimental data. The economist Charles Manski draws on examples from criminology, demography, epidemiology, social psychology, and sociology as well as economics to illustrate this language and to demonstrate the broad usefulness of the tools. There are many traditional ways to present identification problems in econometrics, sociology, and psychometrics. Some of these are primarily statistical in nature, using concepts such as flat likelihood functions and nondistinct parameter estimates. Manski's strategy is to divorce identification from purely statistical concepts and to present the logic of identification analysis in ways that are accessible to a wide audience in the social and behavioral sciences. In each case, problems are motivated by real examples with real policy importance, the mathematics is kept to a minimum, and the deductions on identifiability are derived giving fresh insights. Manski begins with the conceptual problem of extrapolating predictions from one population to some new population or to the future. He then analyzes in depth the fundamental selection problem that arises whenever a scientist tries to predict the effects of treatments on outcomes. He carefully specifies assumptions and develops his nonparametric methods of bounding predictions. Manski shows how these tools should be used to investigate common problems such as predicting the effect of family structure on children's outcomes and the effect of policing on crime rates. Successive chapters deal with topics ranging from the use of experiments to evaluate social programs, to the use of case-control sampling by epidemiologists studying the association of risk factors and disease, to the use of intentions data by demographers seeking to predict future fertility. The book closes by examining two central identification problems in the analysis of social interactions: the classical simultaneity problem of econometrics and the reflection problem faced in analyses of neighborhood and contextual effects.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 31. Jan 2022)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Estimation theory.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Social sciences</subfield><subfield code="x">Statistical methods.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">BUSINESS & ECONOMICS / Econometrics.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.4159/9780674265790?locatt=mode:legacy</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.degruyter.com/isbn/9780674265790</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="3">Cover</subfield><subfield code="u">https://www.degruyter.com/document/cover/isbn/9780674265790/original</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_BACKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_CL_LAEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EBACKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ECL_LAEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EEBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ESSHALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ESTMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_PPALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_SSHALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_STMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV-deGruyter-alles</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA11SSHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA12STME</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA13ENGE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA17SSHEE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA18STMEE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA5EBK</subfield></datafield></record></collection> |