Behavioral Economics and Public Policy: A Pragmatic Perspective

Working Paper: NBER ID: w20928

Authors: Raj Chetty

Abstract: The debate about behavioral economics – the incorporation of insights from psychology into economics – is often framed as a question about the foundational assumptions of economic models. This paper presents a more pragmatic perspective on behavioral economics that focuses on its value for improving empirical predictions and policy decisions. I discuss three ways in which behavioral economics can contribute to public policy: by offering new policy tools, improving predictions about the effects of existing policies, and generating new welfare implications. I illustrate these contributions using applications to retirement savings, labor supply, and neighborhood choice. Behavioral models provide new tools to change behaviors such as savings rates and new counterfactuals to estimate the effects of policies such as income taxation. Behavioral models also provide new prescriptions for optimal policy that can be characterized in a non-paternalistic manner using methods analogous to those in neoclassical models. Model uncertainty does not justify using the neoclassical model; instead, it can provide a new rationale for using behavioral nudges. I conclude that incorporating behavioral features to the extent they help answer core economic questions may be more productive than viewing behavioral economics as a separate subfield that challenges the assumptions of neoclassical models.

Keywords: Behavioral Economics; Public Policy; Savings Rates; Labor Supply; Neighborhood Choice

JEL Codes: B4; H0


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
behavioral nudges (D91)retirement savings (D14)
knowledge about the tax code (K34)labor supply decisions (J22)
neighborhood choice and housing vouchers (R21)welfare implications (I30)
behavioral factors (D91)economic outcomes (F61)
inertia and present bias (D91)behavioral nudges effectiveness (D91)

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