Dear all,
If you have survey data I suggest you considering also the sampling weights. Preliminary
results of a Monte Carlo simulations (unpublished) suggests that they may matter.
Cesare Riillo
On Saturday, 17 March 2018, 17:00:20 CET, cem-request(a)lists.gking.harvard.edu
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Today's Topics:
1. Using CEM without weights (Cristian Vaccari)
2. Re: Using CEM without weights (stefano iacus)
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Message: 1
Date: Fri, 16 Mar 2018 15:59:32 +0000
From: Cristian Vaccari <C.Vaccari(a)lboro.ac.uk>
To: <cem(a)lists.gking.harvard.edu>
Subject: [cem] Using CEM without weights
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<CANbKZGt_fds3CuaWb2BfU5xhY2GXFc3stfM-+MixZMY_pzcXzw(a)mail.gmail.com>
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Dear all,
I am using CEM in a paper based on survey data. The goal is to estimate the
relationship between exposure to political incivility on social media and
an index of political participation (a count of eight different
activities). After matching units based on a set of covariates, I run a
negative binomial regression using the weight calculated by CEM that
equalizes the number of treated and control units within each stratum.
Among the feedback I have received on this paper has been the suggestion
that I should run the analysis on the CEM-matched units, but without using
the CEM-generated weight.
I have tried running the analysis only on the matched units without using
the weight and the results are consistent with the analysis where I used
the weight, but it seems to me using the weights would be more appropriate.
Would anyone be able to comment on whether using the matched units but not
the weight is a sensible/acceptable idea or not?
Many thanks for your help and for developing this great tool!
Cristian