Macroeconomic outcomes depend on the distribution of markups across firms and over time, making firm-level markup estimates key for macroeconomic analysis. Methods to obtain these estimates require data on the prices that firms charge. Firm-level data with wide coverage, however, primarily comes from financial statements, which lack information on prices. We use an analytical framework to show that trends in markups or the dispersion of markups across firms can still be well-measured with such data. Measuring the average level of the markup does require pricing data, and we propose a consistent estimator for such settings. We validate the analytical results using simulations of a quantitative macroeconomic model and offer supporting evidence from firm-level administrative production and pricing data. Our analysis supports the use of financial data to measure trends in aggregate markups.
The hitchhiker's guide to markup estimation: assessing estimates from financial data
Grassi, Basile;Morzenti, Giovanni
In corso di stampa
Abstract
Macroeconomic outcomes depend on the distribution of markups across firms and over time, making firm-level markup estimates key for macroeconomic analysis. Methods to obtain these estimates require data on the prices that firms charge. Firm-level data with wide coverage, however, primarily comes from financial statements, which lack information on prices. We use an analytical framework to show that trends in markups or the dispersion of markups across firms can still be well-measured with such data. Measuring the average level of the markup does require pricing data, and we propose a consistent estimator for such settings. We validate the analytical results using simulations of a quantitative macroeconomic model and offer supporting evidence from firm-level administrative production and pricing data. Our analysis supports the use of financial data to measure trends in aggregate markups.| File | Dimensione | Formato | |
|---|---|---|---|
|
ecta_accepted.pdf
non disponibili
Descrizione: article
Tipologia:
Documento in Post-print (Post-print document)
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
954.47 kB
Formato
Adobe PDF
|
954.47 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


