“Machinery of Progress: Charting the Capabilities of Capital, 1998-2023″ (forthcoming), by Peter John Lambert and Yannick Schindler. This paper outlines the data methodology. Please cite this paper when using information contained on this website.
What is the Machinery of Progress Project?
The aim of the Machinery of Progress (MoP) project is to bring measurement of capital equipment into the 21st century. By utilising novel AI tools, along with big data from administrative archives, we produce a high-frequency and highly-detailed measurement of investment and capital equipment powering the modern economy.
Monthly from1990 to present
Texas, California, Floria,
Colorado (more coming soon)
Census tract and county level
Down to 4-digit NAICS
Peter J. Lambert
Pete is PhD candidate at the LSE. Peter holds MRes & MSc degrees from LSE, and a Masters/BA from Monash University. He is affiliated with the Programme on Innovation and Diffusion (POID). His research leverages large novel datasets (e.g. text, transactions, networks) and novel data methods to study organizations, industries, productivity and economic progress.
Yannick M. Schindler
Yannick is a PhD candidate at the Centre for Macroeconomics (CfM) and the LSE. He has worked as a Senior Research Fellow at Princeton University, and a Research Analyst at the European Central Bank. His research focuses on the causes and consequences of capital reallocation/misallocation, capital upgrading, and novel measurement of capital to study business cycles and economic growth.