The hitchhiker's guide to markup estimation: assessing estimates from financial data

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 over time 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, andwe 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.

Publication Details

Journal
London School of Economics and Political Science Research Online (London School of Economics and Political Science)
Published
2025-09-21
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The hitchhiker's guide to markup estimation: assessing estimates from financial data

London School of Economics and Political Science Research Online (London School of Economics and Political Science)
Financial Markets and Investment Strategies
article

The hitchhiker's guide to markup estimation: assessing estimates from financial data

article en

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 over time 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, andwe 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.

London School of Economics and Political Science Research Online (London School of Economics and Political Science)
Openalex Percentile: Top 31%
Financial Markets and Investment Strategies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The hitchhiker's guide to markup estimation: assessing estimates from financial data · London School of Economics and Political Science Research Online (London School of Economics and Political Science) (2025) | TGRS Research Map | TGRS