Causal analysis with panel data /
Panel data - information gathered from the same individuals or units at several different points in time - are commonly used in the social sciences to test theories of individual and social change. This book highlights the developments in this technique in a range of disciplines and analytic traditi...
| Основен автор: | Finkel, Steven E. |
|---|---|
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Thousand Oaks, Calif. :
Sage Publications,
℗♭1995.
|
| Серия: |
Quantitative applications in the social sciences ;
no. 07-105. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=24699 |
| Подобни документи: |
Print version::
Causal analysis with panel data. |
Съдържание:
- 1. Introduction
- 2. Modeling change with panel data
- Change-score models and the role of lagged endogenous variables
- Estimation of the static-score model
- Alternative lag specifications
- Problems in the estimation of panel models
- 3. Models of reciprocal causation
- Cross-lagged effects models
- Synchronous effects models
- Cross-lagged and synchronous effects models
- 4. Measurement error models
- Basic concepts
- Single-indicator models
- Multiple-indicator models
- 5. Spurious association and autocorrelated disturbances
- Common factor models
- Unmeasured variable models
- 6. Concluding note on causal inference in panel analysis.