Identify More, Observe Less: Mediation Analysis Synthetic Control

09/26/2019
by   Giovanni Mellace, et al.
0

The Synthetic Control Method (SCM) allows estimating the causal effect of an intervention in settings where panel data on just few treated, and control units are available. In this paper, we show that the existing SCM as well as its extensions can be easily modified to estimate how much of the "total" effect goes through observed causal channels. The additional assumptions needed are arguably very mild in many settings. Furthermore, in an illustrative empirical application we estimate the effects of adopting the euro on labor productivity in several countries and show that a reduction in the Economic Complexity Index helped mitigating the negative short run effects of adopting the new currency in some countries or boosted the positive effects in others.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/18/2023

Proximal Causal Inference for Synthetic Control with Surrogates

The synthetic control method (SCM) has become a popular tool for estimat...
research
01/17/2023

Estimation of Policy-Relevant Causal Effects in the Presence of Interference with an Application to the Philadelphia Beverage Tax

To comprehensively evaluate a public policy intervention, researchers mu...
research
05/25/2020

An alternative to synthetic control for models with many covariates under sparsity

The synthetic control method is a an econometric tool to evaluate causal...
research
04/04/2023

The Economic Effect of Gaining a New Qualification Later in Life

Pursuing educational qualifications later in life is an increasingly com...
research
09/14/2020

Stop the Clock: Are Timeout Effects Real?

Timeout is a short interruption during games used to communicate a chang...

Please sign up or login with your details

Forgot password? Click here to reset