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CEM: Coarsened Exact Matching in State Citation Blackwell, Matthew, Stefano IACUC, Gary King, and Giuseppe Porto. 2010. CEM: Coarsened exact matching in state. State Journal 9(4): 524-546. http://www.stata-journal.com/
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How to fill out coursened matching in stata

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How to fill out coursened matching in stata?

01
First, you need to install the "psmatch2" command in Stata if you haven't already. You can do this by typing "ssc install psmatch2" in the Stata command window.
02
Once the command is installed, load your dataset into Stata using the "use" command.
03
Identify the treatment and control groups in your dataset. You can do this by creating a binary variable indicating the treatment status (1 for treated, 0 for control).
04
Use the "psmatch2" command in Stata to perform the coursened matching. Specify the treatment, control, and covariates variables in the command syntax. For example, the command may look like:
"psmatch2 treatedvar, outcome(outcomevar) covars(covariates) pscore(pscorevar) neighbor(1) caliper(0.1)"
The "neighbor" option specifies the number of nearest neighbors to match on, and the "caliper" option sets the maximum acceptable distance for matching.
01
After running the command, Stata will generate a new variable with the matched group assignment for each observation.
02
You can then assess the quality of the matching using various diagnostics and balance tests in Stata.
03
Finally, analyze the outcome variable using the matched groups and compare the treatment effect between the treated and control groups.

Who needs coursened matching in stata?

01
Researchers and analysts who are interested in estimating causal effects in observational studies.
02
Those who want to compare treatment outcomes between a treatment group and a control group while accounting for confounding variables.
03
Individuals working with non-experimental data where random assignment to treatment is not possible.
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Coursened matching in Stata is a statistical technique used to estimate causal effects by identifying matched groups of individuals or units based on a specified set of covariates.
There is no requirement to file coursened matching in Stata as it is a statistical analysis technique, not a filing or reporting requirement.
Coursened matching in Stata is performed using the 'psem' command, which allows users to specify the desired covariates and other parameters for the matching analysis.
The purpose of coursened matching in Stata is to help researchers estimate causal effects by creating matched groups that are similar in terms of relevant covariates, thereby reducing potential confounding factors.
Coursened matching in Stata does not involve reporting specific information. It is a statistical analysis method aimed at estimating causal effects rather than generating reports.
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