According to his campaign site, Michael Carbonara emphasizes economic opportunity and accountability, and this explainer is intended to provide neutral, sourced background that voters and civic readers can use when evaluating policy discussion and candidate statements.
The analysis below uses official data sources and recent international reviews as primary references so readers can follow the original datasets if they wish.
What wages and productivity mean: clear definitions and why they are not the same
The phrase wages and productivity explained describes two distinct statistical concepts that are often compared in public discussion. Real wages measure the purchasing power of pay received by workers, while productivity measures output per hour; official statistics track both but treat them differently, so the two series can move apart BLS labor productivity and costs overview
Real wages usually refer to inflation adjusted earnings. Analysts commonly report median hourly earnings to show the typical worker experience, and median measures can differ substantially from mean averages when incomes are unevenly distributed.
Real wages versus nominal wages
Nominal wages are the dollar value of pay in the current period. Real wages remove the effect of price changes so readers can see whether purchasing power rose or fell. Saying that wages rose without noting whether that is nominal or real is a frequent source of confusion.
Labor productivity and total factor productivity: basic differences (wages and productivity explained)
Labor productivity measures output per hour of work. Total factor productivity is a broader concept that seeks to capture efficiency gains not explained by measured labor or capital inputs. National and international agencies publish both concepts, and they are measured using different data constructions and assumptions BLS labor productivity and costs overview
Because the concepts and denominators differ, a rise in productivity per hour need not translate into a proportionate rise in median real wages. Users comparing series should confirm which productivity definition and which wage measure are being discussed.
Historical pattern: since the 1970s many advanced economies saw productivity rise faster than median wages
Across many advanced economies, productivity has grown faster than median wages since the 1970s, a long-run pattern documented in international reports and national series OECD Employment Outlook 2024 and in the OECD decoupling analysis Decoupling of wages from productivity
The United States is a prominent example where the gap between median earnings and output per hour widened over several decades. Other countries show variation depending on institutions and policy choices, which is why cross-country reports are useful for comparison ILO Global Wage Report 2024-25
Find official datasets and country tables on OECD and ILO pages
See the OECD and ILO reports cited below for full datasets and country comparisons.
These international reports update through 2024 and include harmonized series to help readers compare trends across advanced economies. They highlight that the divergence is not a single-country anecdote but a multi-country pattern documented by official agencies.
When reading national press about productivity and pay, look for whether journalists use median or mean wage series, and whether they speak about labor productivity or total factor productivity, because these choices change the story the data tell.
Core mechanisms that can separate productivity gains from wage gains
A consistent proximate factor in the productivity pay gap is a falling labor share of national income, which reduces the portion of output that goes to workers rather than capital owners IMF working paper on declining labor share
When the labor share declines, even if total output rises, the portion available for wages can remain flat or fall. This pattern helps explain why productivity and median pay do not move in lockstep in many countries.
Declining labor share of income
A decline in the labor share means profits or returns to capital make up a larger slice of national income. That shift is closely associated with wider gaps between measured productivity and median wages in many studies and reports.
Technology and capital-biased change
Capital biased technological change, including automation, can raise output per worker while reducing demand for certain routine tasks or weakening bargaining positions for affected groups. Recent research examines these effects and finds they can contribute to divergence in specific sectors NBER working paper on technology and labor outcomes and the related NBER analysis Productivity and Wages: Common Factors and …
Because technological change can increase productive capacity without raising pay for all workers, policymakers and analysts often examine how gains are distributed across firms and occupations.
Globalization, offshoring and trade
Global integration and the offshoring of labor intensive production can place downward pressure on wages in exposed sectors, even while aggregate productivity grows; cross country studies point to trade as one contributing factor ILO Global Wage Report 2024-25
These mechanisms typically interact: technology, trade, and institutional changes can reinforce each other and produce larger distributional effects than any single factor alone.
Measuring wages and productivity: which datasets to trust and how they differ
For U.S. series, the Bureau of Labor Statistics provides linked productivity and compensation data that are commonly used to compare output per hour with earnings BLS labor productivity and costs overview
International comparisons typically rely on OECD or ILO harmonized datasets that use consistent definitions across countries to the extent possible OECD Employment Outlook 2024
Productivity and wages are measured differently, and multiple mechanisms such as a declining labor share, technological change, offshoring, and institutional settings can prevent output gains from translating into higher median pay.
Readers should watch for differences such as median versus mean wages, hours worked versus employment counts, and whether productivity is measured at industry, sector or aggregate levels, because these choices can change the apparent relationship between pay and output.
Seasonal adjustments, base year choices for real terms, and the treatment of self employed or part time work are additional technical issues that can make series diverge when compared without care.
How to evaluate explanations: criteria and questions for judging causes
When assessing claims that productivity caused or failed to raise wages, check whether the data match in timing and scope, whether the pattern is concentrated in certain sectors, and whether the labor share changed in the same period IMF working paper on declining labor share
A practical checklist includes verifying that the wage series is real and median, confirming the productivity definition, checking sectoral concentration, and looking for institutional changes such as collective bargaining shifts or policy reforms that could affect pay.
Causal criteria to check in empirical claims
Good causal claims show timing consistent with the mechanism, robustness to different data choices, and corroboration from multiple sources. Single series correlations are a weak basis for strong causal assertions.
Weighing multiple mechanisms
Because technology, trade, and institutional changes often act together, weigh evidence across studies and data sources before concluding which mechanism is primary in a given case Brookings analysis on productivity and wages
Policy options and tradeoffs that affect whether productivity translates into pay
Policy and institutional choices influence how productivity gains are shared. For example, minimum wage policy and tax and transfer design can affect disposable income and the wage floor in ways that change observed median earnings OECD Employment Outlook 2024
Collective bargaining coverage and competition policy also shape how increases in output are distributed between labor and capital. Antitrust enforcement that reduces concentration can strengthen firms capacity to share gains with workers, according to cross country analysis Brookings analysis on productivity and wages
Evidence varies by country and sector. While minimum wages and stronger bargaining can reduce the wage productivity gap in many contexts, the quantitative contribution of each policy differs by institutional setting and is an active research area. Read more on my about page about.
Readers should note that policy choices involve tradeoffs. For example, changes that strengthen wages in one sector may have indirect effects on employment, inflation, or firm investment patterns, and these tradeoffs are the subject of ongoing study.
Sector case studies: tech, retail and manufacturing examples
Sectoral patterns show that large productivity gains concentrated in a few capital intensive industries will not necessarily raise the median wage, because such gains can be captured by firm owners or retained as investment returns ILO Global Wage Report 2024-25 and the ILO report PDF GWR 2024-25 PDF
In technology, rapid output growth can coincide with high returns to a small set of highly skilled workers and owners, while broader groups see limited wage gains. In retail, automation of checkout and logistics can boost output per hour while lowering demand for some routine jobs NBER working paper on technology and labor outcomes
How sectoral productivity gains can be concentrated
When productivity growth is concentrated, the distribution of income matters. Median wages reflect the center of the distribution, so gains that accrue mostly to top earners or to capital owners may leave the median unchanged.
What sector patterns imply for overall wage trends
Understanding which sectors drive national productivity growth and who receives the gains helps explain why aggregate productivity and median pay can diverge over long periods, particularly if rising sectors employ relatively few middle income workers.
Common mistakes readers and commentators make when linking wages and productivity
A common error is mixing nominal and real measures, which can make it appear that wages tracked productivity when they did not in purchasing power terms BLS labor productivity and costs overview
Another frequent mistake is comparing mean and median statistics without noting the difference. Mean wages can rise while median wages stall if top incomes grow much faster than typical incomes.
A quick five step checklist to verify claims about wages and productivity
Use this checklist to confirm whether comparisons are like for like
Readers often overstate causality when data show correlation. Asking for sectoral breakdowns, labor share trends, and institutional context helps avoid overstated conclusions.
Applying the checklist above will reduce the chance of misreading headlines or policy briefs that conflate different measures.
A short practical checklist readers can use when they see claims about wages and productivity
Five quick checks: confirm whether wages are real and median, check the productivity definition, verify the time frame, inspect sectoral concentration, and note institutional changes such as collective bargaining coverage BLS labor productivity and costs overview
Primary data sources to consult include the BLS for U.S. productivity and earnings series, and OECD and ILO harmonized datasets for cross country work OECD Employment Outlook 2024, and see related commentary on my site news.
For sector specific questions, look for industry level productivity and wage series in official national databases and compare them to aggregate measures before drawing conclusions.
Conclusion: what we know, what remains uncertain, and where to read more
Productivity and wages are distinct measures and do not automatically move together. International and national reports show a persistent pattern in many advanced economies where productivity grew faster than median wages, and a decline in the labor share is a robust correlate of that divergence IMF working paper on declining labor share
Open questions remain about the relative importance of technology, trade, and institutions in recent years, and analysts should consult the OECD, ILO, and national sources listed above for country and sector specific analysis OECD Employment Outlook 2024
The resources cited in this article provide starting points for readers who want the underlying data and technical documentation used by researchers and policymakers. You can also visit the homepage for related posts Michael Carbonara.
For most public discussion, median real hourly earnings paired with labor productivity (output per hour) is the most informative comparison because it shows typical worker pay against standard productivity measures.
No. Productivity can rise while median wages stagnate if the labor share falls, gains concentrate among capital owners, or institutional factors limit wage growth.
Start with national statistical agencies such as the BLS for the United States and with OECD and ILO harmonized datasets for international comparisons.
Neutral, well sourced analysis helps clarify where policy can make a difference and where more research is needed.
