The U.S. low-wage structure: a McWage comparison

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985998%3A_____%2F24%3A00601674" target="_blank" >RIV/67985998:_____/24:00601674 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11640/24:00601675

Výsledek na webu

<a href="https://www.nber.org/papers/w32708" target="_blank" >https://www.nber.org/papers/w32708</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The U.S. low-wage structure: a McWage comparison

Popis výsledku v původním jazyce

Thanks to standardized work protocol and technology of McDonald’s restaurants, the hourly wage of McDonald’s Basic Crew enables wage comparisons under near-identical skill inputs and hedonic job conditions. McWages capture labor costs in entry-level jobs, while the Big Macs (earned) Per Hour (BMPH) index measures corresponding purchasing power of wages. We document large and growing geographical wage differences in standardized jobs using data covering most U.S. counties during 2016-2023. Before the Covid-19 pandemic, there was no BMPH growth where minimum wages stayed constant, but the pandemic wage increase, which diminished the importance of minimum wages, was stronger in these areas.

Název v anglickém jazyce

The U.S. low-wage structure: a McWage comparison

Popis výsledku anglicky

Thanks to standardized work protocol and technology of McDonald’s restaurants, the hourly wage of McDonald’s Basic Crew enables wage comparisons under near-identical skill inputs and hedonic job conditions. McWages capture labor costs in entry-level jobs, while the Big Macs (earned) Per Hour (BMPH) index measures corresponding purchasing power of wages. We document large and growing geographical wage differences in standardized jobs using data covering most U.S. counties during 2016-2023. Before the Covid-19 pandemic, there was no BMPH growth where minimum wages stayed constant, but the pandemic wage increase, which diminished the importance of minimum wages, was stronger in these areas.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů