Guohui Jiang @gjiang.bsky.social · 10/11/2024Would love to hear your thoughts! Tagging @jvoth.bsky.social @essobecker.bsky.social @saumjha.bsky.social @nathannunn.bsky.social @david-schindler.de @dinapomeranz.bsky.social @hmmlowe.bsky.social @vcharnysh.bsky.social @guoxu.bsky.social @heycheckthisout.bsky.social 000
Guohui Jiang @gjiang.bsky.social · 10/11/2024Full paper: ssrn.com/abstract=5007109 Want a quick overview? Check out this 12-min AI-generated podcast! podcasters.spotify.com/pod/show/guo... See more on my website: gjiang-economics.github.io #EconJobMarketssrn.comNo Fairness, No Cooperation: Draft Dodging by the Rich and Voluntary Enlistment in World War IIConscription in the US during World War II favored the rich. This paper first documents this fact and then examines its effects on voluntary enlistment through 110
Guohui Jiang @gjiang.bsky.social · 10/11/2024🚨 Why this matters: 🚨 When govts ask citizens to contribute, perceived fairness is essential - not optional. See a recent example in Ukraine (www.reuters.com/world/europe...) This is why inclusive institutions that treat everyone fairly are crucial (as the 2024 econ Nobel laureates argue) [8/8]reuters.comUkraine's prosecutor general resigns amid draft-dodging scandalAndriy Kostin took responsibility for a scandal in which dozens of officials are alleged to have abused their position to receive disability status and avoid military service. 140
Guohui Jiang @gjiang.bsky.social · 10/11/2024How large is the impact? If the draft had been fair (no poorer-richer draft gap), volunteering would've jumped approximate 1/3!! [7/8] 121
Guohui Jiang @gjiang.bsky.social · 10/11/2024Endogeneity? Instrumental var: lottery number gaps between individuals' poorer vs richer neighbors 🎲 🎲 (Random lottery nums, lower = higher draft chance) Higher nums for richer neighbors (in B's circle) ➡️ fewer richer drafted ➡️ bigger poorer-richer draft rate gap [6/8] 110
Guohui Jiang @gjiang.bsky.social · 10/11/20242️⃣ Did the lower drafting of higher-income neighbors affect volunteering? Main spec: ▶️ Dependent var: binary indicator for individual volunteering ▶️ Independent var: draft rate gap between individuals' poorer vs richer neighbors [5/8] 120
Guohui Jiang @gjiang.bsky.social · 10/11/2024For example: ▶️ Doctor connections ➡️ 11% higher health exemptions ▶️ The richer had more doctor connections If lower drafting of the rich was observed, esp. among neighbors, it was perceived as unfair [4/8] 120
Guohui Jiang @gjiang.bsky.social · 10/11/20241️⃣ These fairness concerns in Gallup polls were well-founded: ▶️ Highest income group's draft rate = *half* that of lowest income group ▶️ Rich more likely to get exemptions Their exemptions? More questionable... [3/8] 120
Guohui Jiang @gjiang.bsky.social · 10/11/2024Key context: ▶️ 12 million draftees and 6 million volunteers during WW2 ▶️ 20% of Gallup respondents perceived the draft as unfair ▶️ Main complaints: ‘favoritism’, ‘money talks’, and ‘some use pull to get out of draft’ Based on newly digitized military records, I show 🧵 [2/8] 120
Guohui Jiang @gjiang.bsky.social · 10/11/2024🚨 Job Market Paper 🚨 If 6 million individuals *voluntarily* put themself in a life-and-death situation, what drove them to make that choice? My job market paper examines how perceived fairness affected the decision to voluntarily enlist in the US during WW2 #EconJMP #EconJMC #EconTwitter [1/8] 14719
