6 votes

Matching unpopularity

It's not true that "no-one uses matching these days". It's a bit too definitive. For example, see Bilicka (2019) who recently published in the American Economic Review. I am sure it's ...
emeryville's user avatar
  • 6,935
3 votes
Accepted

Is there any intuitive example for multi-valued treatment?

In a standard treatment effects set up there are only two options to compare: Either the subject is treated or the subject is non-treated. Multi-valued treatment happens when subjects are not only ...
Jesper Hybel's user avatar
  • 3,356
3 votes
Accepted

Articles on the definition of causality in Economics

As 1muflon1 said, the concept of causality in economics is intertwined with the concept of causality in other sciences, in particular statistic and econometrics, and the concept of probabilistic ...
BakerStreet's user avatar
  • 3,697
3 votes
Accepted

Difference in differences with one post and two treatment variables

Let $x_{it}$ denote after rejection, $z_{it}$ denote after granted, $y_{it}$ the outcome, and $w_i$ is US origin (which should not change over time and doesn't have a $t$ subscript). The two-way fixed ...
Michael Gmeiner's user avatar
3 votes

IV estimate for entire sample is larger than IV estimates for subsets of sample?

In general regression coefficients obtained from a regression on the entire sample need not be equal to the mean of the coefficients obtained from regressions on the subgroups of the sample. I will ...
tdm's user avatar
  • 11.9k
2 votes

Synthetic control question on donors

Welcome. Do you mean: if $x^*_{k,it}$ are the panel variables, then $x_{1,i} = \min_t x^*_{1,it}$, $x_{2,i} = \max_t x^*_{2,it}$, etc.? Usually people use averages over time or values at certain ...
chan1142's user avatar
  • 2,114
2 votes
Accepted

Asking for the definition of various types of treatment?

"From my understanding," treatment is simultaneous" is that all countries passed a law at the same time, is this correct?" Yes. And what is multiple treatment events can happen in ...
Michael Gmeiner's user avatar
2 votes

Imbens and Angrist (1994): the $D_i(z)$ variables

I hope this meets your idea for intuition, but equation 1 comes from using the Law of Total Expectation with the independence condition (Condition 1). There are four possible values of $D_i(z)-D_i(w)$....
soccer_stats's user avatar
1 vote
Accepted

Considering employment when estimating treatment effect on wage RCT

I think you are bit overthinking it. Assuming wage does not affect treatment there is no need for IV because there is no endogeneity. In your case since you are using RCT this should be the case if ...
1muflon1's user avatar
  • 56.4k
1 vote

Diff-in-diff with two control groups: compare parallel trends

Background The typical thing to do is visually inspect the pre-treatment trends for the control and treatment groups. Whether you want it or not, you might be biased when looking at the visual ...
bajun65537's user avatar
1 vote

Diff-in-diff with two control groups: compare parallel trends

I'm not understanding-- could you please talk a little about why both can't be used here? It's been a while since I've really worked with DD, but as far as I'm aware, there's not real metric you can ...
Jared Greathouse's user avatar
1 vote
Accepted

What should we conclude when the significant levels are different but the sign are similar among coefficients of variable of interest?

I am wondering whether I can conclude that: anticollusion laws, in general, have weak but consistent negative impact on Y ceteris paribus, on average in this situation? I think that would be too ...
1muflon1's user avatar
  • 56.4k
1 vote

CIA and Exclusion restriction

The CIA assumption is equivalent to $E\{ \nu_i D_i \vert X_i \} = 0$. However, it is not the case that the unconditional expectation is equal to zero. The whole reason we need the CIA is that we don't ...
Kyle Butts's user avatar

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