Differences-in-differences estimator, Advanced Statistics

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.

 

Posted Date: 7/27/2012 3:01:15 AM | Location : United States







Related Discussions:- Differences-in-differences estimator, Assignment Help, Ask Question on Differences-in-differences estimator, Get Answer, Expert's Help, Differences-in-differences estimator Discussions

Write discussion on Differences-in-differences estimator
Your posts are moderated
Related Questions
Hurdle Model:  The model for count data which postulates two processes, one generating the zeros in the data and one generating positive values. The binomial model decides the bina

In the time series plot and scatter graphs there were many outliers that were clearly visible. These have been removed to identify if they were influential or had high leverage and

need answers to questions in book advanced and multivariate statistical methods

Missing values : The observations missing from the set of data for some of the reason. In longitudinal studies, for instance, they might occur because subjects drop out of the stud

Kolmogorov Smirnov two-sample method is a distribution free technique which tests for any difference between the two populations probability distributions. The test is relied on t

The probability distribution, f (x), of largest extreme can be given as    The location parameter, α is the mode and β is the scale parameter. The mean, variance skewn

Coincidences : Astonishing concurrence of the events, perceived as meaningfully related, with no apparent causal connection. Such type of events abounds in everyday life and is oft

It is the technique used in the clinical trials when it is possible to make an acceptable place before an active treatment but not to make the two active treatments identical. In t

Bayes factor : A summary of evidence for the modelM1 against the another modelM0 provided by the set of data D, which can be used in the model selection. Given by the ratio of post