A matching estimator that uses a binary dependent variable for major tax cuts to generate cross-country comparisons for a whole *five years after the policy intervention? l o f{inks}ing l
If you fall for this, you're probably similarly *SHOCKED* that most working poors/LMC folx didn't have iPhones, televisions or access to post-secondary education fifty years ago (thanks neoliberalism!)
The fundamental problem with this type of #analysis is an improperly constructed counterfactual. Cross-country comparisons don't really tell us whether "Reaganomics" has worked when there's been a steady, long-term global trend toward more liberal economies; the appropriate (and more difficult) question to answer is if we would've been better off sticking with the production/consumption economies of the 1930s-60s instead of transitioning to the investment economies of the 1980s-present? If your outcomes of interest are the quality of consumer goods, national output (GDP) and just general quality-of-life, then the latter comes out as the obvious winner
You're wrong based on GDP
Annualized U.S real GDP per capita
1946-1980: 2.12%
1981-2019: 1.74%
source: measuringworth.com calculator
I chose 1946 because it's post Great Depression and Post World War II. The recovery from the Great Depression and the spending during World War II would obviously skew the numbers considerably.
Annualized U.S real GDP per capita
1930-1945 4.80%
After Roosevelt became President
1933-1945: 8.15%
This obviously includes the deep recession from 1937-1938.
If you feel that 1946 is too soon post war to be an accurate measurement, it actually lowers the percentage. (There was a lot of inflation and slow growth for a time following World War II in the United States)
Annualized U.S real GDP per capita
1950-1980: 2.28%
I appreciate that you're wedded to your favorable feelings towards trickle down tax cuts, but as the saying goes: facts don't care about your feelings.