Estimating and Using Individual Marginal Component Effects from Conjoint Experiments
| Autor: | Kirill Zhirkov |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
021110 strategic
defence & security studies Sociology and Political Science Component (UML) 05 social sciences Political Science and International Relations 050602 political science & public administration 0211 other engineering and technologies 02 engineering and technology Biological system Psychology 0506 political science |
| Zdroj: | Political Analysis. 30:236-249 |
| ISSN: | 1476-4989 1047-1987 |
| Popis: | Conjoint experiments are quickly gaining popularity as a vehicle for studying multidimensional political preferences. A common way to explore heterogeneity of preferences estimated with conjoint experiments is by estimating average marginal component effects across subgroups. However, this method does not give the researcher the full access to the variation of preferences in the studied populations, as that would require estimating effects on the individual level. Currently, there is no accepted technique to obtain estimates of individual-level preferences from conjoint experiments. The present paper addresses this gap by proposing a procedure to estimate individual preferences as respondent-specific marginal component effects. The proposed strategy does not require any additional assumptions compared to the standard conjoint analysis, although some changes to the task design are recommended. Methods to account for uncertainty in resulting estimates are also discussed. Using the proposed procedure, I partially replicate a conjoint experiment on immigrant admission with recommended design adjustments. Then, I demonstrate how individual marginal component effects can be used to explore distributions of preferences, intercorrelations between different preference dimensions, and relationships of preferences to other variables of interest. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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