Notice bibliographique
Résumé
Citation (2017), "Index", Human Capital and Health Behavior (Advances in Health Economics and Health Services Research, Vol. 25), Emerald Publishing Limited, Bingley, pp. 287-291. https://doi.org/10.1108/S0731-219920170000025015 Publisher: Emerald Publishing Limited Copyright © 2017 Emerald Publishing Limited INDEX Adenoma, 211 Aid to Families with Dependent Children (AFDC), 114, 120, 126, 130, 138n6 American Recovery and Reinvestment Act (ARRA) (2009), 252, 256 American Time Use Survey (ATUS), 81, 247, 249, 253–255, 259, 266–272, 273n3 Bayes’ theorem, 214 Behavioral Risk Factor Surveillance System (BRFSS), 247, 249, 253, 254, 259, 261, 262, 265, 266, 268–272, 273n2 Behavioral welfare economics, 144–145 FDA tobacco regulations and, 145–158 Benchmark consumption, 56, 79, 80 Birth spacing, 3–21, 24–29 Brazil, 95 Calibration, 35–37, 47, 50–54, 56, 59–62, 64–67, 68nn14–15, 69n16, 79–83, 166 Canada, 114, 115, 173n4 Cancer, 190, 208, 210–211, 215–216, 233 Cancer Registry of Norway, 216 Causality, 35–37, 41, 55, 64–66, 68n15, 70n25 Child health, 38, 86, 88–91, 94, 99, 102, 103, 113 Child immunization, 86–87, 92, 94, 98, 100–104 Chronic obstructive pulmonary disease (COPD), 217, 233 Cigarette consumption, 145, 147–152, 154, 156–164, 166–167, 171, 172 tax, 188, 195, 202n5 see also Food and Drug Administration (FDA) tobacco regulations Cigarette demand information, 154–156 Cognitive and non-cognitive skills, 39 Colonoscopy, 211 Colorado Department of Education, 11 Colorado Department of Public Health and the Environment (CDPHE), 9 Colorectal cancer (CRC), 208, 209, 210, 214–215, 232, 233 Commitment device, 164, 168, 169–172 Confluence theorem, 20–21 Constant-elasticity-of-substitution (CES), 46, 47 Consumer surplus offset approach, 156–158 Cost-benefit analysis, 144, 145, 153, 154–158, 164, 165, 169, 172 Current Population Survey (CPS), 253, 255 Decision utility, 148 Demand for education, 44 Demand for health, 45, 67n3, 211, 248 Developing world, 88–89 Difference-in-difference (DD) approach, 114, 127, 130, 133, 139n7, 247, 255–259, 261, 262, 264, 266, 270 Earned Income Tax Credit, 112 Econometric strategy, 10, 87, 94–99, 148, 165, 175n17 Education, 93–98, 113–114, 127, 166–167, 247, 249, 253, 255–259, 262, 264, 268, 270 and birth spacing, 4–21 and health, 34–83, 86, 208–234 heterogeneity, 184–202 maternal, 86–88, 97, 100–104 Educational attainment, 4, 5, 35, 39, 86, 91, 127, 184, 187, 195, 196, 198, 268 Educational heterogeneity, 184–202 PSID, 187–188 Education effect, on health behavior, 208–210 human capital and health behavior and, 211–216 Education subsidy, 55, 58, 60, 62, 63 Ethiopia, 88 Fecal occult blood testing (FOBT), 208, 211 Federal Bureau of Investigation (FBI), United States, 114, 119, 127, 137 Food and Drug Administration (FDA) tobacco regulations, 144–173 F-test, 226 Gradient descent method, 82 Grossman model, 248 Health behavior, 35, 37, 39, 44, 86, 87, 92, 98, 184, 186, 208–234, 246, 249, 253, 270 Health Certificate Effect, 209, 213, 214, 215, 220–223 Health information, 144, 184–202, 212 Health policy, 56, 59, 61 Health risk information measurement, 188–190 Health stock, 40, 44, 47–49, 52, 54, 56, 59, 61, 64, 79, 81 Heterogeneity, 8, 9, 127, 133, 147, 153, 156, 167, 184–202, 250 Historical Reader’s Guide to Periodical Literature, 190 Human capital, 48, 53, 55, 60, 67n3, 68n4 birthspacing and educational outcomes and, 4–6, 20 health behavior and, 211–216 health certificate effect and, 220–223 maternal schooling and, 86 ICD-10 codes, 218, 233 Immunization, see Child immunization Income effect, 36, 43–45, 59–61, 66 Income tax reduction, 35–36, 55, 58, 60–63, 66, 67 India Human Development Survey (IHDS), 87, 92 India, 86–92, 94–97, 99, 102–104 Individual investments in education and health, 34–64 Information flow and information stock, 190–195 Insufficient reason principle, 158–159 Insurance, 39, 116, 129, 166, 246–273 Intention-to-treat (ITT), 220–224, 226, 231 Life extension, 62–64 Lifetime utility, 46, 47, 160 Linear probability model (LPM), 100, 104n3 Loss function, 82 Lump-sum transfer, 36, 55, 66–67 Marginal utility, 6, 43, 150 Master Settlement Agreement (1998), 188 Maternal employment, 113, 116, 129, 134 Maternal schooling and child immunization in India, 86–87 and developing world, 88–89 instrumental validity, 97–99 sanitation, 89–92 Maternal work incentives, 112–114 Medical care subsidy, 36, 55–57, 60–64, 67 Menarche, 87, 91–103, 104n2 Miscarriage, 8, 11, 20, 27 Murphy–Topel procedure, 50, 79 National Center for Education Statistics, 81 National Health and Nutrition Examination Survey (NHANES), 272 National Health Expenditures Data, 81 National Household Survey of Drug Abuse, 127 National Patient Register (NPR), 209 National Survey on Drug Use and Health, 173n1, 174n13 Neoclassical model of consumer choice, 36 Nepal, 91 Nigeria, 88 Norway, 216 Norwegian Colorectal Cancer Prevention (NORCCAP) Trial, 208–212, 216, 226, 231, 232 Norwegian Patient Register, 217 Nudges, 145–146, 149, 155, 157, 160, 164, 169–173, 173n4, 174n12 regulation, 150, 152, 161 Numerical modeling, 35, 36 Ordinary Least Squares (OLS), 14, 19, 96, 129, 174n13, 223, 225, 231 Parents’ utility, 5–6 Paternalistic regulation, 145, 146, 149, 155–156, 173n3 impact of, 150–154 Period utility, 47 Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA), United States (1996), 112, 114, 117, 119, 120 Physical activity, 246–273 Policy experiments, 37, 54–56 Pregnancy loss, 7–21, 25–29 Pregnancy Risk Assessment Monitoring System, 163 ProQuest, 190 Rational Demand curve, 150, 154–155, 157, 165–167 Robustness checks, 4, 7, 19, 102, 129, 134, 184, 191, 196, 202, 257, 258, 264, 265, 266 Sanitation, 89–92 Schooling. See Education Screening, 208–234 Self-reinforcement, 69n22, 70n25 Sick time, 49, 68n10 Simmons National Consumer Survey (NCS), 191 Simulation, 37, 49, 56–66, 253 Smoking behavior, 144–173, 194–201 Smoking cessation, 39, 144, 147–148, 158–160, 162–163, 168, 170–171, 175nn17, 20, 184–185, 187, 195–198, 200–202 Social Security Act (1935), 249, 250 Social welfare, 145, 148, 150–155, 157, 168, 169, 171–173, 174nn9–10 South Africa, 88 Statistics Canada, 69n23 Statistics Norway, 216 Subjective well-being (SWB), 168–169, 172, 175n24 Substitution effect, 44, 45, 59–61, 66 Surgeon General’s Report on Smoking, 186 Survey of Income and Program Participation (SIPP), 115, 253 Survival probability, 46, 47 Taxation, 144, 145, 148, 151–154, 156, 165, 168, 169, 173, 174n10, 175n21, 188, 195, 202n5 Tax Burden on Tobacco (Orzechowski and Walker), 188 Teen drug arrests, 112–138 Teen drug crimes, 116, 117, 120, 129, 137, 138n4 Teen drug use, 113–114, 116–118, 127, 134 Telemark Polyp Study I, 208 Temporary Assistance for Needy Families (TANF), 114, 119, 120, 126, 128–130, 135 Tobacco Control Act (TCA), United States (2009), 144, 146 Tobacco. See Cigarette consumption; Food and Drug Administration (FDA) tobacco regulations; Smoking behavior Tobacco-related internalities, 164 Two-period model, 37, 40–45, 147–151 Two-stage least square (2SLS), 221, 223, 226, 231 Uganda, 88 Unemployment insurance and physical activity, 246–273 in United States, 249–251 UNICEF, 99 Universal Immunization Program (UIP), 88 U.S. Bureau of Labor Statistics (BLS), 41, 50, 52, 79, 253, 254 U.S. Census, 81 US Census Bureau, 253 U.S. Department of Health and Human Services, 119 U.S. Justice Department Fact Sheet, 128 US Panel Study of Income Dynamics (PSID), 187–188, 191, 202n4 Utility, 5, 6, 40, 41, 43–45, 47, 54, 59, 66, 67n3, 82, 144, 149–152, 154, 157, 160, 163, 165–168, 175n19, 248 Utility loss, 148, 152, 155, 156, 161–162, 164, 175n18 Violent Crime Control and Law Enforcement Act (1994), United States, 128 Wage income, 48, 79 Wealth transfer, 36, 55, 57, 59–67 Wealth-transfer policy, 36 Welfare analysis, 145, 148, 150–155, 157, 168, 169, 171–173, 174nn9–10 Welfare reform characterization, 119–121 World Health Organization (WHO), 88 Book Chapters Prelims Part I Prenatal Investments and Human Capital Development Birth Spacing and Educational Outcomes Part II Education and Health Individual Investments in Education and Health: Policy Responses and Interactions Causal Effects of Maternal Schooling on Child Immunization in India Part III Human Capital and Risky Health Behavior Effects of Maternal Work Incentives on Teen Drug Arrests Behavioral Welfare Economics and FDA Tobacco Regulations Part IV Information and Health Behavior Educational Heterogeneity in the Association between Smoking Cessation and Health Information The Effect of Education on Health Behavior after Screening for Colorectal Cancer Part V Insurance and Health Behavior Unemployment Insurance and Physical Activity Biographies Index
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,005 | 0,007 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,010 | 0,007 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,778 | 0,789 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».