Slide 1 - UNDP Climate Change Adaptation
... greater than another student who is not exposed to the same method. ...
... greater than another student who is not exposed to the same method. ...
The Perils of Randomization Checks in the Analysis
... misguided idea in several respects. The problem is not so much the number of comparisons as the logical basis for doing them to begin with. The use of randomization checks for this purpose demonstrates a fundamental misunderstanding of what random assignment does and does not accomplish. A well-exec ...
... misguided idea in several respects. The problem is not so much the number of comparisons as the logical basis for doing them to begin with. The use of randomization checks for this purpose demonstrates a fundamental misunderstanding of what random assignment does and does not accomplish. A well-exec ...
Notes 25
... to a discontinuity of E[Y | X ] . For example, around age 65 individuals become eligible for a host of services and so comparing those a little younger and a little older than 65 may not allow researchers to infer the effect of one particular program. There are a number of things one can do. Most fi ...
... to a discontinuity of E[Y | X ] . For example, around age 65 individuals become eligible for a host of services and so comparing those a little younger and a little older than 65 may not allow researchers to infer the effect of one particular program. There are a number of things one can do. Most fi ...
LIMDEP (NLOGIT) - American Economic Association
... in the OLS regression. The results for the other coefficients and for R2 will be identical either way, while the the constant terms, since they measure the difference of each college from the 18th in the first case, or the difference of all 18 from zero in the second, will differ. This difference is ...
... in the OLS regression. The results for the other coefficients and for R2 will be identical either way, while the the constant terms, since they measure the difference of each college from the 18th in the first case, or the difference of all 18 from zero in the second, will differ. This difference is ...
Interaction (statistics)
In statistics, an interaction may arise when considering the relationship among three or more variables, and describes a situation in which the simultaneous influence of two variables on a third is not additive. Most commonly, interactions are considered in the context of regression analyses.The presence of interactions can have important implications for the interpretation of statistical models. If two variables of interest interact, the relationship between each of the interacting variables and a third ""dependent variable"" depends on the value of the other interacting variable. In practice, this makes it more difficult to predict the consequences of changing the value of a variable, particularly if the variables it interacts with are hard to measure or difficult to control.The notion of ""interaction"" is closely related to that of ""moderation"" that is common in social and health science research: the interaction between an explanatory variable and an environmental variable suggests that the effect of the explanatory variable has been moderated or modified by the environmental variable.