Can We Trust U.S. Economic statistics?

In the international academic community, U.S. economic statistics enjoy a reputation for exceptional reliability, with the United States consistently placed among the highest-ranked countries for accuracy in measuring GDP dynamics. To evaluate the foundation of this confidence, the authors draw on their experience conducting alternative GDP estimates for the USSR, Russia, India, and China. This study examines the precision of U.S. economic statistics over the period 1970–1987 in three sectors – industry, construction, and agriculture. GDP volumes at current prices were deflated using the manufacturing output price index for the processing industries and the fuel-price index for the extractive industries. The resulting alternative estimates of industrial GDP were compared with the official figures published by U.S. statistical agencies. The official GDP index in construction was checked based on the dynamics of housing commissioning and the share of housing construction in the total construction volume. In general, the analysis of statistics on the dynamics of US economic GDP confirmed a high assessment of its reliability for the period 1970–1987, with the exception of price statistics. Doubts about the reliability of American statistics for 1970–1987 arise when comparing favorable official indicators of GDP dynamics with a large increase in the US national debt and a small (3–4 %) share of construction in GDP for the period from 1990 to 2010. To assess the real dynamics of US GDP, natural indicators of production were adopted. They allow us to move on to calculating the dynamics of production in sectors of the economy that raise doubts about their reliability: manufacturing and construction. The greatest difficulties arose with assessing the dynamics of the service sector. The authors assumed that labor productivity in it remained unchanged. The calculations of the dynamics of production and labor productivity for 1990–2010 by sectors of the real economy showed an unprecedented drop in labor productivity in American economic history, which indicates deep troubles in the American economy during this period. The calculation of an alternative estimate of GDP dynamics revealed minimal growth indices: by 8% in the 1990s and by 4% in the 2000s, instead of the official growth of 38% in the 1990s and 18% in the 2000s. Both estimates reveal a significant slowdown in economic development in the 2000s. Possible reasons for this are considered. A conclusion is made about the most serious defects of American economic statistics in the period from 1990 to 2010.

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Publication Details

Journal
Ideas and Ideals
Published
2025-09-26
DOI
https://doi.org/10.17212/2075-0862-2025-17.3.2-243-265
Primary Topic
Census and Population Estimation
Type
article
Field-Weighted Citation Impact
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article

Can We Trust U.S. Economic statistics?

Grigory Khanin, Igor Dobrovolskiy
Ideas and Ideals
Census and Population Estimation
article

Can We Trust U.S. Economic statistics?

Grigory Khanin, Igor Dobrovolskiy
article en

Abstract

In the international academic community, U.S. economic statistics enjoy a reputation for exceptional reliability, with the United States consistently placed among the highest-ranked countries for accuracy in measuring GDP dynamics. To evaluate the foundation of this confidence, the authors draw on their experience conducting alternative GDP estimates for the USSR, Russia, India, and China. This study examines the precision of U.S. economic statistics over the period 1970–1987 in three sectors – industry, construction, and agriculture. GDP volumes at current prices were deflated using the manufacturing output price index for the processing industries and the fuel-price index for the extractive industries. The resulting alternative estimates of industrial GDP were compared with the official figures published by U.S. statistical agencies. The official GDP index in construction was checked based on the dynamics of housing commissioning and the share of housing construction in the total construction volume. In general, the analysis of statistics on the dynamics of US economic GDP confirmed a high assessment of its reliability for the period 1970–1987, with the exception of price statistics. Doubts about the reliability of American statistics for 1970–1987 arise when comparing favorable official indicators of GDP dynamics with a large increase in the US national debt and a small (3–4 %) share of construction in GDP for the period from 1990 to 2010. To assess the real dynamics of US GDP, natural indicators of production were adopted. They allow us to move on to calculating the dynamics of production in sectors of the economy that raise doubts about their reliability: manufacturing and construction. The greatest difficulties arose with assessing the dynamics of the service sector. The authors assumed that labor productivity in it remained unchanged. The calculations of the dynamics of production and labor productivity for 1990–2010 by sectors of the real economy showed an unprecedented drop in labor productivity in American economic history, which indicates deep troubles in the American economy during this period. The calculation of an alternative estimate of GDP dynamics revealed minimal growth indices: by 8% in the 1990s and by 4% in the 2000s, instead of the official growth of 38% in the 1990s and 18% in the 2000s. Both estimates reveal a significant slowdown in economic development in the 2000s. Possible reasons for this are considered. A conclusion is made about the most serious defects of American economic statistics in the period from 1990 to 2010.

Ideas and IdealsVol. 17(3-2)
Openalex Percentile: Top 74%
Census and Population Estimation
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