Disastrous Discretion: Political Bias in Relief Allocation Varies Substantially with Disaster Severity

42 Pages Posted: 18 Feb 2021 Last revised: 20 Jun 2023

See all articles by Stephan A. Schneider

Stephan A. Schneider

Stockholm University - Institute for International Economic Studies (IIES); CESifo (Center for Economic Studies and Ifo Institute); ETH Zurich - KOF Swiss Economic Institute

Sven Kunze

Zurich University of Applied Sciences (ZHAW)

Multiple version iconThere are 2 versions of this paper

Date Written: January 18, 2023

Abstract

Allocation decisions are vulnerable to political influence, but it is unclear in which situations politicians use their discretionary power in a partisan manner. We analyze the allocation of presidential disaster declarations in the United States, exploiting the spatiotemporal randomness of all hurricane strikes from 1965-2018 along with changes in political alignment. We show that decisions are unbiased when disasters are either very strong or weak. Only after medium-intensity hurricanes do areas governed by presidents’ co-partisans receive up to twice as many declarations. This hump-shaped political bias explains 8.3 percent of overall relief spending, totaling about USD 400 million per year.

Keywords: disaster relief, distributive politics, hurricanes, natural disasters, nonlinearity, party alignment, political influence, political economy

JEL Classification: D72, H30, H84, P16, Q54

Suggested Citation

Schneider, Stephan A. and Kunze, Sven, Disastrous Discretion: Political Bias in Relief Allocation Varies Substantially with Disaster Severity (January 18, 2023). Available at SSRN: https://ssrn.com/abstract=3786196 or http://dx.doi.org/10.2139/ssrn.3786196

Stephan A. Schneider (Contact Author)

Stockholm University - Institute for International Economic Studies (IIES) ( email )

Stockholm, SE-10691
Sweden

CESifo (Center for Economic Studies and Ifo Institute) ( email )

Poschinger Str. 5
Munich, DE-81679
Germany

ETH Zurich - KOF Swiss Economic Institute ( email )

Switzerland

Sven Kunze

Zurich University of Applied Sciences (ZHAW) ( email )

United States

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