Some Thoughts on Causation as It Relates to Demography and Population Studies
Bibliographic Data
| ID | 4120910 |
|---|---|
| Authors | Herbert L Smith (University of the Arts, corresponding author) |
| Year | 2003 |
| Volume | 29 |
| Issue | 3 |
| Pages | 459-469 |
| Publication date | 2003-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Population and Development Review (JOURNAL) |
| Journal identifiers | ISSN: 0098-7921 • E-ISSN: 1728-4457 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1728-4457.2003.00459.x |
| OpenAlex | W1967045150 |
| Language | EN |
| Citations received | 16 |
| References cited | 24 |
The counterfactual account of causality defines an effect as the difference, for some unit, between an outcome under an observed treatment and an outcome under a hypothetical alternative. When units are heterogeneous in a population, there is no single causal effect. The micro-level account of causation is complicated when units interact with one another, as they do in human populations. The search for causation requires manipulation. But key micro-level demographic variables-age, race, sex-are not easily manipulated. What are subject to manipulation are the social rules, policies, or choice sets available to individuals within populations. Thus causes are best conceptualized at the macro level, even if their effects are observed at the micro level
Causality (physics) · Causation · Counterfactual thinking · Economics · Macro · Macro level · Microeconomics · Outcome (game theory) · Political science · Population · Positive economics · Race (biology) · Sociology · Advanced Causal Inference Techniques · Computer Science · Demography · Health Systems, Economic Evaluations, Quality of Life · Income, Poverty, and Inequality · Psychology · Social Psychology
How Political Events Become Demographic
Abordaje Contrafáctico, Inferencia Causal y el Enfoque de la Puntuación de la Propensión. Efectos de las Remesas en la Escolarización Paraguaya
Spatial Causality
The Demographic Transition and Women's Economic Participation in Tamil Nadu, India
Remarks on the analysis of causal relationships in population research
Addressing confounding errors when using non-experimental, observational data to make causal claims
Child Wanted and When? Fertility Intentions, Wantedness, and Child Survival in Rural Northern Ghana
Introducing New Contraceptives in Rural China
The ABC of demographic behaviour
Integrating macro- and micro-level approaches in the explanation of population change
On Causation in Demography
Adult children's union type and contact with mothers
Confounding and control
Effects of Causes and Causes of Effects
Military Service in the Life Course
Causal Inference in Sociological Research
Sociological methodology, 1969
Money, Work, and Crime
Statistics and Causal Inference
Hierarchical linear models
Does Increasing Women's Schooling Raise the Schooling of the Next Generation
Statistics
Two Notes on the Probabilistic Approach to Causality
Micro Data, Heterogeneity, and the Evaluation of Public Policy
Introducing New Contraceptives in Rural China
Regression Analysis
Use of Black English and Racial Discrimination in Urban Housing Markets
Crime and Poverty
Causal Analysis in Population Research
The Estimation of Causal Effects From Observational Data
Hans Zeisel Concludes the Debate
Saying it Wrong with Figures
Disagreement over the Evaluation of a Controlled Experiment
| Unique citing works | 16 |
|---|---|
| Citations per year | 0,76 |
| Citation span | 2005 - 2026 (22) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 14 |