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Intangible-capital-stocks

Parameters for intangible capital accumulation and data on intangible stocks (Ewens, Peters and Wang (2020))

Intangible capital: depreciation rates and stocks

This repository contains the parameter estimates for intangible capital accumulation and estimated knowledge and organization capital stocks from Ewens, Peters and Wang (2023) work “Measuring Intangible Capital with Market Prices.”

In April 2019, we updated our methodology for adjusting goodwill and fixed a bug in our estimation code. The parameter estimates have changed, so we encourage researchers to use these updated numbers. In October 2023, we identified a small data error in our estimation sample that resulted in small changes to the parameter estimates and estimated intangible stocks. The changes had no meaningful impacts on the relative performance of the paper’s intangible asset stocks.

Primer on capitalizing intangibles: the perpetual inventory model

See Sections 2 and 4 of Ewens, Peters and Wang (2023). Parameters of interest:

Each of these parameters are estimated for the five Fama-French industries.

Parameter estimates

The depreciation and investment parameters (in csv form) can be merged onto any dataset of firm-time R&D and SG&A flows using SIC codes. The variables are

Here are the estimates (Oct. 2023) along with their bootstrapped standard errors:

Parameter estimates from Ewens, Peters and Wang (2020)

We will soon provide code that allows you to take raw Compustat data and build the intangible capital stocks.

Stocks for Compustat firms

The csv file or Stata .dta file contains firm-year stocks of knowledge – knowCapital – and organization – orgCapital – capital implied by the parameter estimates. The columns are:

To load in Stata so you have the most up-to-date file:

insheet using "https://github.com/michaelewens/intangible_capital/blob/master/intangibleCapital_090123.csv?raw=true", comma clear

or

use "https://github.com/michaelewens/intangible_capital/raw/master/intangibleCapital_090123.dta", clear

We use the industry-level parameter estimates from Ewens, Peters and Wang (2023) combined with the past 10 years of SG&A and R&D from the firm’s income statement in Compustat. All dollars are nominal. Importantly, these stocks are net assets, not gross. So any year-on-year change represents a net, rather than gross investment.

Code to construct stocks

Dijun Liu wrote a Python script that generates stocks with correlations > .99 with the EPW stocks.

### Stata

### R

### Python

## Citation

 @article{ewensPetersWang2023,
  title={Measuring Intangible Capital with Market Prices},
  author={Ewens, Michael and Peters, Ryan and Wang, Sean},
  journal={Management Science},
  year={Forthcoming}
  }

Ewens, Michael, Ryan Peters and Sean Wang. “Measuring Intangible Capital with Market Prices.” Management Science, forthcoming, 2023.