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The estimator of the group by the time period interaction in a study in which the subjects in two different groups are observed in two different time periods.
Normally one of the groups is the control group and the other group is provided the treatment in the second period but not in the first period. The differences-in-differences estimator of the causal effect of treatment is simply difference in the period means for the second group minus the difference in the period means for the first group. The differences-in-differences estimator is striking because it can be seen as resulting from sweeping out both subject-specific intercepts and the period-specific intercepts from a model comprising such terms. It is the standard approach to the program evaluation in the study of economics.
moving and semi average method graphical reprsentation
Hypothesis testing is a general term for procedure of assessing whether the sample data is consistent or otherwise with statements made about the population. It basically tells u
Incidental parameter problem is a problem which sometimes occurs when the number of parameters increases in the tandem with the number of observations. For instance, models for pa
a shop is selling laptops at regular price and at half price.If the laptops are regular price a day they will be at regular price tha day after with proba 2/3, if the laptops are a
An approach of using the likelihood as the basis of estimation without the requirement to specify a parametric family for data. Empirical likelihood can be viewed as the example of
A vague concept which occurs all through statistics. Essentially the term means the number of independent units of the information in an easy relevant to the estimation of the para
Two-phase sampling is the sampling scheme including two distinct phases, in the first of which the information about the particular variables of interest is collected on all the m
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The Null Hypothesis - H0: There is no heteroscedasticity i.e. β 1 = 0 The Alternative Hypothesis - H1: There is heteroscedasticity i.e. β 1 0 Reject H0 if |t | > t = 1.96
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