Publication:

Spend or invest? Analyzing MPC heterogeneity across three stimulus programs

Date

Date

Date
2023
Working Paper

Citations

Citation copied

Toczynski, J. (2023). Spend or invest? Analyzing MPC heterogeneity across three stimulus programs (No. 23–57; Swiss Finance Institute Research Paper). https://doi.org/10.2139/ssrn.4270518

Abstract

Abstract

Abstract

I employ data gathered by an account aggregator app covering the universe of user transactions to study the effects of three waves of stimulus checks on U.S. households’ investments, consumption, and savings. I analyze within-person variation in consumption sensitivity showing that higher liquidity and debt levels lead to smaller consumption responses. Using relative timing of stimulus and tax refunds, I illustrate the role of liquidity. Lastly, I estimate marginal propensities to invest and show a strong effect on market participatio

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Creators (Authors)

  • Toczynski, Jan

Series Name

Series Name

Series Name
Swiss Finance Institute Research Paper

Institution

Institution

Institution

Item Type

Item Type

Item Type
Working Paper

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

JEL Classification

JEL Classification

JEL Classification
D12
D14
D15
E21
G51

Keywords

Consumption, marginal propensity to consume, household debt, stimulus, liquidity, retail investments

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Publication date

Publication date

Publication date
2023-03

Date available

Date available

Date available
2023-09-07

Number of pages

Number of pages

Number of pages
42

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1556-5068

OA Status

OA Status

OA Status
Green

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:23535

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Citations

Citation copied

Toczynski, J. (2023). Spend or invest? Analyzing MPC heterogeneity across three stimulus programs (No. 23–57; Swiss Finance Institute Research Paper). https://doi.org/10.2139/ssrn.4270518

Green Open Access
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