In no particular order:
Moonshot: Public R&D and Growth by Shawn Kantor and Alexander Whalley. Whether its going to the moon or vaccinating a country, government spending sure seems to have a much better impact when there is a big, bright, and highly-specific outcome target.
The Economic Consequences of Being Denied an Abortion by Sarah Miller, Laura Wherry, and Diana Greene Foster. Being denied an abortion leads to significant financial distress.
Preferences for Firearms and Their Implications for Regulation by Sarah Moshary, Bradley Shapiro, and Sara Drango. Different types of guns serve as strong substitutes for each other, which will likely temper any regulatory effects from limiting one or more specific strata of firearms. As with any regulation, narrowly identifying what it is you want and expect from the policy remains the key to making an evidence-based argument for it.
A panel-based proxy for gun prevalence in US and Mexico by Daniel Cerquiera, Danilo Coelho, John Donohue, Marcelo Fernandes, and Jony Pinto Junior. Using “percent of suicides committed with a firearm” remains a the best proxy for firearms. Regional variation across the US remains exactly what you’d expect in the US. Is the same true of Mexico?
BONUS PAPER. From twitter this morning:
How Much Should We Trust the Dictator’s GDP Growth Estimates? by Luis Martinez
I’d seen this before, but I think about all the time. We don’t give nearly enough time consideration ro the endogeneity of results to the incentives behind data creation/recording anywhere, let alone autocratic countries. I get why – it invites the dismissal of any data inconvenient to your status quo thinking, but ignoring it completely is foolish.
Economist Writing Every Day 