Questions tagged [treatment-effect]
The treatment-effect tag has no usage guidance.
16
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Difference in differences with one post and two treatment variables
I want to test the following hypotheses with a difference in differences (DiD) OLS model: 1. The post grant effect on the dependent variable is stronger for patents with at least one rejection than ...
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Diff-in-diff treatment problem
I have a cuestion about a possible aplication of a diff in diff in labor economics.
I'm thinking for my master's thesis of comparing the effects of a reduction of the payroll tax in Argentina, which ...
1
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1
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23
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Asking for the definition of various types of treatment?
Borusyak (2021) writes the following:
We further discuss the implications of our results when treatment is simultaneous rather than staggered, when it can switch on and off, and when multiple ...
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What can explain a wrong sign on difference-in-difference estimator?
I am trying to estimate the casual impact of treatment T on outcome Y based on an unbalanced panel data. The data consists of two subsamples: subsample A and subsample B. Based on context of the ...
2
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Missing values in difference-in-differences
To give a background of the problem: I'm performing a difference-in-differences analysis to estimate the effect of a treatment, say A. I have a panel data with 5 rounds and about 3000 observations in ...
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1
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101
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Is there any intuitive example for multi-valued treatment?
The definition from Wikipedia about multi-valued treatment is quite ambiguous to me, is there any other simpler definition or intuitive example for this term?
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What should we conclude when the significant levels are different but the sign are similar among coefficients of variable of interest?
I saw the impact of anticollusion laws on dependent variables Y across the country by using generalized DID by following Dasgupta, 2019.
The identification is:
$Y_{it}$ = $\alpha$ + $\beta$ $(pt)_{kt}$...
1
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1
answer
114
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IV estimate for entire sample is larger than IV estimates for subsets of sample?
I am using two-stage least squares to estimate a local average treatment effect, with 'treatment' being the endogenous variable and 'assignment to treatment' being the instrument. If I use my full ...
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Synthetic control question on donors
I'm using synthetic control methods.
The treatment group has covariates that are the extrema of the values across itself and all potential donor units.
So, say, on covariate $x_1$, the treatment unit ...
4
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1
answer
79
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Matching unpopularity
It seems that in economics, matching techniques (such as pscore, covariate matching, regression adjustment) are not as popular as selection-on-unobservables techniques (such as DiD, IV).
Indeed I ...
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0
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How to calculate and interpret a marginal treatment effect (local instrumental variable)? (Intuition through simple example.)
I am working on the intuition behind local instrumental variables (LIV), also known as the marginal treatment effect (MTE). I have worked some time on this and would benefit from solving a simple. I ...
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66
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CIA and Exclusion restriction
I have recently got myself confused about CIA and wondered if somebody could perhaps help me disentangle my thoughts. Consider the regression
$Y_i = \alpha_0 + \Delta D_i + \beta X_i + \eta_i$
Where ...
3
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1
answer
59
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Imbens and Angrist (1994): the $D_i(z)$ variables
I'm referring to the Econometrica (1994) paper by Imbens and Angrist. In particular, I don't really understand the random variables $D_i(z)$ (defined on page 468). Could you please provide me with ...
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1
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346
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What is a good AUSTERITY indicator?
I am writing a paper on European poverty and I am using a treatment control setup
similar to Difference-in-Difference methods.
Now, since the data I am using is rather recent, I would like to ...
3
votes
1
answer
1k
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How encouragement design works practically?
I'm trying to understand the encouragement design but I have some doubts. For example, if I want to introduce a voucher for teachers that can be used for professional development(the treatment) and I ...
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3
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Self-selection bias during the course of experiments
Suppose you are running a randomized experiment to assess the effect of $X$, say some training program for unemployed people, on $Y$, say the chance of finding a job in the coming year. Suppose also ...