Rekursive oder nicht-rekursive Modelle? / Testing for non-recursiveness in causal modelling
Zum Problem der Testbarkeit von Feedback-Prozessen / For the problem of measurability of feedback processes
Bibliographic Data
| ID | 11981663 |
|---|---|
| Authors | Christof Ammermann (Universität Erlangen-Nürnberg, Seminar für Soziologie, 852 Erlangen, Dompfaffstr. 136, corresponding author), Peter Gluchowski (0000-0002-0006-195X, Sozialwissenschaftliches Forschungsinstitut der Konrad-Adenauer-Stiftung, Alfter, 5305 Alfter, Am Mühlenweiher 22), Peter R Schmidt (0000-0002-5700-3144, Universität Hamburg), Peter Schmidt (0000-0001-6954-8590, Universität Hamburg, Seminar für Sozialwissenschaften, 2 Hamburg 26, Carl-Petersen-Str. 100) |
| Year | 1975 |
| Volume | 4 |
| Issue | 3 |
| Pages | 203-220 |
| Publication date | 1975-06-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Zeitschrift für Soziologie (JOURNAL) |
| Journal identifiers | ISSN: 0340-1804 • E-ISSN: 2366-0325 |
| Publisher | De Gruyter (PUBLISHER • DE) |
| DOI | 10.1515/zfsoz-1975-0301 |
| OpenAlex | W153841585 |
| Language | EN |
| References cited | 1 |
The paper discusses a stubborn problem of theory construction: deciding between recursive and non- recursive variants of a causal model by testing them against empirical data. After pointing out the consequences of a correlation between an exogeneous variable and the error term of an endogeneous variable as well as certain aspects of the identification problem we show for the asymptotic case (n → ∞) that a test is possible if the correlation between the exogeneous and the error term is in fact zero. Following this we present the results of a Monte-Carlo simulation investigating the robustness of the proposed test when applied to small samples. Finally we suggest conclusions of this testing procedure for empirical research
Causal model · Econometrics · Monte Carlo method · Robustness (evolution · Statistical hypothesis testing · Statistics · Bayesian Modeling and Causal Inference · Computer Science · Mathematics · Applied Mathematics
| Citation velocity | historical |
|---|---|
| Highly cited | No |