<p>I can’t imagine what dummy could you use there. Here trade is your dependent variable if you would use dummy you would have to switch to some non-linear probabilistic model such as logit or probit. </p>

<p>Most of the time I see papers using just exports from country i to j as proxy for bilateral trade. But there are multiple ways how you could in principle measure it, and it’s not easy to provide some short review of all possible ways. For example, more sophisticated metric would be to measure it in terms of value added like <a href="https://scholar.google.com/scholar?hl=nl&amp;as_sdt=0%2C5&amp;as_ylo=2016&amp;q=measuring%20bilateral%20trade&amp;btnG=#d=gs_qabs&amp;u=%23p%3DW6-ajqXJZBcJ" rel="nofollow noreferrer">here</a>. It would really depend on exact situation, I would maybe recommend starting with the exports from UK to AU for UK and vice versa for AU and then move onto more fancy measures, it might be good idea to do extensive robustness checks using different possible metrics. </p>

CC BY-SA 4.0
2020-02-14T15:01:00.153Z
2020-02-14T15:01:00.153Z
1muflon1
<p>I am doing a report on whether environmental regulation has an impact on trade, using a difference-in-difference model and seeing whether the EU Industrial Emissions Directive had an effect on UK trade. The UK is my treatment group and Australia is my control group. However, what is the best way to control for bilateral trade between the two? Would I need bilateral trade data on UK and Australia trade or can I just use a dummy variable? If I am using a dummy variable, how can I use it? Thanks!</p>

CC BY-SA 4.0
2023-02-28T19:07:43.753Z
Trade between the two is a violation of SUTVA.
Papayapap
<econometrics><international-trade><environmental-economics>
How can I control for trade between UK and Australia in my difference-in-difference trade model?
Mathew Chandy
# How can I control for trade between UK and Australia in my difference-in-difference trade model?

(Asked by: username_0 on 2020-02-14)

I am doing a report on whether environmental regulation has an impact on trade, using a difference-in-difference model and seeing whether the EU Industrial Emissions Directive had an effect on UK trade. The UK is my treatment group and Australia is my control group. However, what is the best way to control for bilateral trade between the two? Would I need bilateral trade data on UK and Australia trade or can I just use a dummy variable? If I am using a dummy variable, how can I use it? Thanks!

**Tags:** econometrics, international-trade, environmental-economics
> **Comments:**
> **username_1**: Trade between the two is a violation of SUTVA.  

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## 1 answers

### Answer by username_2 on 2020-02-14. Score: 0

I can’t imagine what dummy could you use there. Here trade is your dependent variable if you would use dummy you would have to switch to some non-linear probabilistic model such as logit or probit.

Most of the time I see papers using just exports from country i to j as proxy for bilateral trade. But there are multiple ways how you could in principle measure it, and it’s not easy to provide some short review of all possible ways. For example, more sophisticated metric would be to measure it in terms of value added like [here](https://scholar.google.com/scholar?hl=nl&as_sdt=0%2C5&as_ylo=2016&q=measuring%20bilateral%20trade&btnG=#d=gs_qabs&u=%23p%3DW6-ajqXJZBcJ). It would really depend on exact situation, I would maybe recommend starting with the exports from UK to AU for UK and vice versa for AU and then move onto more fancy measures, it might be good idea to do extensive robustness checks using different possible metrics.


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