How people pay each other: Data, theory, and calibrations
Year of publication: |
2021
|
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Authors: | Greene, Claire ; Prescott, Brian ; Shy, Oz |
Publisher: |
Atlanta, GA : Federal Reserve Bank of Atlanta |
Subject: | consumer payment choice | person-to-person payments | electronic payments | mixed logit | machine learning | random matching |
Series: | Working Paper ; 2021-11 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 10.29338/wp2021-11 [DOI] 1747804452 [GVK] hdl:10419/244314 [Handle] |
Classification: | D9 - Intertemporal Choice and Growth ; E42 - Monetary Systems; Standards; Regimes; Government and the Monetary System |
Source: |
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How people pay each other : data, theory, and calibrations
Greene, Claire, (2021)
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How People Pay Each Other : Data, Theory, and Calibrations
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