Replication Data for: War and Nationalism: How WW1 battle deaths fueled civilians' support for the Nazi Partydoi:10.7910/DVN/WOEWJ3Harvard Dataverse2023-03-301De Juan, Alexander; Haass, Felix; Koos, Carlo; Riaz, Sascha; Tichelbaecker, Thomas, 2023, "Replication Data for: War and Nationalism: How WW1 battle deaths fueled civilians' support for the Nazi Party", https://doi.org/10.7910/DVN/WOEWJ3, Harvard Dataverse, V1, UNF:6:uVPI65U/rK4yg/t5INfWmQ== [fileUNF]Replication Data for: War and Nationalism: How WW1 battle deaths fueled civilians' support for the Nazi Partydoi:10.7910/DVN/WOEWJ3De Juan, AlexanderHaass, FelixKoos, CarloRiaz, SaschaTichelbaecker, ThomasHarvard DataverseHarvard DataverseHaass, FelixHaass, Felix2022-11-14Social SciencesCan wars breed nationalism? We argue that civilians' indirect exposure to war fatalities can trigger psychological processes that increase identification with their nation and ultimately strengthen support for nationalist parties. We test this argument in the context of the rise of the Nazi Party after World War 1. To measure localized war exposure, we machine-coded information on all 8.6 million German soldiers who were wounded or died in WW1. Our empirical strategy leverages battlefield dynamics that cause plausibly exogenous variation in the county-level casualty fatality rate---the share of dead soldiers among all casualties. We find that throughout the interwar period, electoral support for right-wing nationalist parties, including the Nazi Party, was 2.6 percentage points higher in counties with above-median casualty fatality rates. Consistent with our proposed mechanism, we find that this effect was driven by civilians rather than veterans and areas with a preexisting tradition of collective war commemoration.This dataset not to be distributed/posted outside of the Harvard Dataverse. All downloads should take place directly on Harvard Dataverse to ensure data integrity. This dataset not to be distributed/posted outside of the Harvard Dataverse. All downloads should take place directly on Harvard Dataverse to ensure data integrity. DE JUAN, ALEXANDER, FELIX HAASS, CARLO KOOS, SASCHA RIAZ, and THOMAS TICHELBAECKER. 2023. “War and Nationalism: How WW1 Battle Deaths Fueled Civilians’ Support for the Nazi Party.” American Political Science Review, 1–19.10.1017/S000305542300014XDE JUAN, ALEXANDER, FELIX HAASS, CARLO KOOS, SASCHA RIAZ, and THOMAS TICHELBAECKER. 2023. “War and Nationalism: How WW1 Battle Deaths Fueled Civilians’ Support for the Nazi Party.” American Political Science Review, 1–19.abel_letters.tab57921text/tab-separated-valuesUNF:6:uVPI65U/rK4yg/t5INfWmQ==Year of birth.1895.72340425531911.2463126436405151860.01916.01898.062.0517.0UNF:6:wW1pDOGAJ+qp01BppbMirQ==Combat veteran (0), Non-combat veteran (1), Civilian (2)1.020.0559.0.0.7735629256240091.30232558139534760.02.01Non-combat veterans1740Combat veterans1082Civilians277UNF:6:/zEzPompRdr1zdrvETxlcA==Civilian (binary, ref.cat.: Veteran)0.4946428571428573319.0.0.01.00.50041830189549150.0560.00Veteran2831Civilian277UNF:6:o720PurrMZJ8XFDHxvFVog==Krieg mentioned (binary)579.01.00.471812133941803550.00.00.00.33333333333333204.UNF:6:P6KYQdeluivtOODYQZqZlQ==Krieg mentioned positively (share)383.00.00.34895826324738505196.00.01.00.1929421776107379.UNF:6:vUN2ycAnRRy0Bb1UgMPQ1g==Index Anti-Semitism (count)5.05257511946763850.00.02.0.579.028.03.575129533678751UNF:6:+6s35t6Wx5ZQ/fO4tmwe2A==Index Anti-Leftist (count)0.0579.00.04.619712308912419.3.68221070811743672.022.0UNF:6:A+Ubm2eAiPnG0eecz4bzhw==Index fatherland (count)0.014.63710545169253210.00.0579.083.0.14.348877374784173UNF:6:94BXzGf8ELt1ZLAMXat8LA==Index economic/poverty (count)9.6753022452504260.07.0.0.0579.09.61211001090695753.0UNF:6:Y6y6iWeCkKKX6x9VFZ0m1g==Index WW1 mentions (count).6.3056994818652680.04.032.00.0579.06.53350311559087UNF:6:Mu7vlzs11iFJ628sXkVWNg==Index Anti-Semitism (share)579.03.99650764465332031.0000000214180012-1.722303372746527E-8-0.2997417449951172-0.8907721042633057.0.0UNF:6:vD24rEX5/91k07DsFNGzsw==Index Anti-Leftist (share)579.00.9999999969206134.5396833419799805.1.723509461132474E-90.0-0.9297766089439392-0.2651400566101074UNF:6:Jm4BuEcJBKMpIky2uJz74w==Index fatherland (share)-0.202947169542312627.722447428868344E-8579.00.0-1.495068907737732.0.99999996661764943.3119852542877197UNF:6:UO2eaqMW1oPwiiF3/1lCYQ==Index economic/poverty (share)4.2251815795898440.9999999774494504-0.226071119308471680.0.-1.9840468447207434E-8579.0-1.2738672494888306UNF:6:BC7ETEKK9S2aUtcnzh5GrA==Index WW1 mentions (share)3.7237632274627686.0.9999999585384809-4.595693736905442E-9579.0-1.113461971282959-0.215913385152816770.0UNF:6:3w4PLekfY61myHjdhbQqag==Female (binary)0.24168403560054780.01.00.00.06217616580310877579.0.0.0UNF:6:1u0e16KxBDohI3EBpRSGKg==Berlin (binary)0.00.01.0579.00.46601968098840080.00.317789291882556.UNF:6:PldFbVOumqolHatrT7tUsg==Age579.0.37.010.62603113730555317.00.073.037.2765957794453UNF:6:WV/axkf2Gq/Zj9J3n8Woww==Catholic (binary)579.0.0.00.00.01.00.0483592400690847360.214709674737117UNF:6:2dNlYIxAcU74NikPYLFJ6w==Highschool degree (binary)579.0.1.00.170984455958549250.376820928119300350.00.00.0UNF:6:ITr0IgEbkJr48735tRRZaQ==Year of birth 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