Bibliographic record
Abstract
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
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.778 | 0.789 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".