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| Conjoint-Analyse× | Microsimulation× | |
|---|---|---|
| Fachgebiet≠ | Versuchsplanung | Simulation |
| Familie≠ | Hypothesis test | Process / pipeline |
| Entstehungsjahr≠ | 1978 | 1957 |
| Urheber≠ | Paul E. Green & V. Srinivasan | Guy Orcutt (concept, 1957); modern tax-transfer frameworks developed through EUROMOD and related projects |
| Typ≠ | Decomposition-based utility estimation | Policy simulation / computational social science |
| Wegweisende Quelle≠ | Green, P.E. & Srinivasan, V. (1978). Conjoint analysis in consumer research: Issues and outlook. Journal of Consumer Research, 5(2), 103–123. DOI ↗ | O'Donoghue, C. (Ed.) (2014). Handbook of Microsimulation Modelling. Emerald. DOI ↗ |
| Aliasnamen≠ | CBC conjoint, choice-based conjoint, adaptive conjoint analysis, full-profile conjoint | Mikrosimülasyon, micro-simulation, policy microsimulation |
| Verwandt≠ | 6 | 5 |
| Zusammenfassung≠ | Conjoint analysis is a preference-measurement technique that decomposes overall product evaluations into the separate utility values — called part-worths — that respondents assign to each attribute level. Formalised by Green and Srinivasan in their seminal 1978 Journal of Consumer Research paper, the method has become the dominant tool in marketing research and product design for quantifying what buyers truly trade off when they choose between options. | Microsimulation is a computational method that simulates policy effects by operating directly on a population of individual micro-units — households, firms, patients — and applying rules to each unit according to its own demographic, economic, and behavioural characteristics. Developed conceptually by Guy Orcutt in 1957, it has become the standard tool for evaluating tax reform, pension systems, and health policy before implementation. |
| ScholarGateDatensatz ↗ |
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