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  1. We saw examples of how to calculate probabilities by integrating the PDF fXY over the relevant regions. Now, we’ll see some other things we can do with joint distributions. To start, we are …

  2. With a dichotomous independent variable, the marginal effect is the difference in the adjusted predictions for the two groups, e.g. for black people and for white people.

  3. One way to remember these is by saying the words: the conditional distribution is the joint distribution divided by the marginal distribution. Also notice the probability interpretation when …

  4. The distribution of an individual random variable is call the marginal distribution. The marginal mass function for X is found by summing over the appropriate column and the marginal mass …

  5. Lecture 2. Marginal Functions, Average Functions, Elasticity, the Marginal Principle, and Constrained Optimization 2.1. Introduction Suppose that an economic relationship can be …

  6. Think of marginal e ects as @p getting an average derivative: @Xj When using the margins command, make sure that 1) you use the option dydx(varname) and 2) make sure you use …

  7. Marginal analysis is the tool economists use to make these allocation decisions. The idea of marginal analysis is quite simple: If the marginal benefit from another unit of some activity …