Keskimarginaaliyhteydissä

Keskimarginaaliyhteydissä is a Finnish term that translates to "in the context of average marginal effects" or "within the average marginal effect." It is commonly used in statistical analysis, particularly in econometrics and social sciences, when interpreting the results of regression models.

The concept of average marginal effects (AME) is a way to summarize the impact of a continuous predictor variable on the outcome variable in a non-linear model. Unlike linear models where the effect of a variable is constant, in non-linear models, the effect can change depending on the values of other variables. The AME calculates the marginal effect for each observation in the dataset and then averages these effects across all observations. This provides a single number that represents the typical change in the outcome variable for a one-unit change in the predictor variable, holding all other variables at their observed values.

Therefore, when a study refers to "keskimarginaaliyhteydissä," it signifies that the conclusions drawn from the analysis are based on this specific metric. It emphasizes that the reported effects are averages across the entire sample and should be interpreted as such, rather than as fixed effects applicable to every individual or situation. This approach helps to provide a more nuanced understanding of the relationships between variables in complex models.