Edward Conard

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  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
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  • “Unintended Consequences is far smarter and more thought-provoking than most economics written for the general public” - Greg Mankiw, Harvard University, Former Chairman of the Council of Economic Advisors
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “A full-throated defense of economic dynamism.” - The Wall Street Journal
  • “There are an amazing number of good ideas and interesting points made in Unintended Consequences. The thinking underlying it, and the obvious depth of understanding of the author, are very impressive.” - Steven Levitt, coauthor of Freakonomics; 2004 John Bates Clark Medal
  • “Unintended Consequences represents the most cogent and persuasive analysis of the Financial Crisis to date.” - Andrei Shleifer, 1999 John Bates Clark Medal Winner
  • “…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
  • “Unintended Consequences provides a provocative interpretation of the causes of the global financial crisis and the policies needed to return to rapid growth. Whether you agree or not, this analysis is well worth reading.” - Nouriel Roubini, New York University; Chairman, Roubini Global Economics
  • “…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
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Thursday, July 23, 2015

The Growing Gap between Real Wages and Labor Productivity

AI Summary. US real wages for production workers have stagnated since 1970 even as output per worker grew about 2% annually, with labor's share of income declining around 2000. The gap is attributed partly to faster-rising prices for goods like housing and education, slower productivity growth in services, and benefits such as healthcare growing faster than wages.

Robert Lawrence PIIE
Date Posted:
July 23, 2015
Is Database:
Database

US real wages for production workers have stagnated since 1970 despite 2% annual growth in output per worker. Rising relative prices of consumer goods & slower productivity growth in services have contributed to the gap

US real wages for production workers have stagnated since 1970 despite 2% annual growth in output per worker. Rising...

Why have real wages lagged behind labor productivity growth?

Core argument: US real wages for production workers have stagnated since 1970 even as output per worker grew about 2% annually.

Since 1970, US real wages for production workers have stagnated despite a 2% annual growth in output per worker. From 1970 to 2000, overall worker compensation grew in line with labor productivity, but the decline in labor's share of income began around 2000. This gap is partly due to rising relative prices of consumer goods like housing and education, and slower productivity growth in services compared to investment goods. Additionally, benefits such as healthcare have increased faster than wages, affecting real earnings. The disparity between the business sector price deflator and the consumer price index further complicates the relationship between real wages and productivity.

Takeaways by Macro Roundup® AI

  1. US real wages for production workers have stagnated since 1970 even as output per worker grew about 2% annually.
  2. Overall worker compensation tracked labor productivity from 1970 to 2000, with labor's share of income beginning to decline around 2000.
  3. The wage-productivity gap partly reflects rising relative prices for housing and education, slower productivity growth in services than in investment goods, benefits such as healthcare growing faster than wages, and divergence between the business sector price deflator and the consumer price index.

"...When appropriately measured, from 1970 to 2000, and perhaps to as late as 2008, the growth in overall worker compensation was precisely as rapid as the growth in average labor productivity would imply....the key to explaining sluggish long-run wage growth is understanding productivity growth rather than what drives the distribution of income between capital and labor....Broader measures that include the wages of all workers show considerably more real wage growth—a reflection of the fact that the wages of more skilled and educated workers grew much more rapidly than blue-collar workers with less education...Measuring real product compensation shows that between 1970 and 2000 workers could have increased their purchases of the goods and services they produced at the same rate as the rise in output per worker. This suggests that the decline in labor’s share in income only began in 2000.....The explanation for the sluggish rise in real wages over the long run—1970 through 2000—may lie not with something that weakened labor’s bargaining power but instead in changes in the relative prices of the goods and services that workers consume and those that they produce...."Lawrence, Robert, "The Growing Gap between Real Wages and Labor Productivity,"IIE, July 21, 2015. Available at:http://www.capx.co/external/why-are-wages-lagging-productivity-in-the-us/The Growing Gap between Real Wages and Labor Productivity byRobert Z. Lawrence| July 21st, 2015 | 02:33 pm

The explanation for the sluggish rise in real wages over the long run—1970 through 2000—may lie not with something that weakened labor’s bargaining power but instead in changes in the relative prices of the goods and services that workers consume and those that they produce. In particular, in thinking about policies to raise middle-class incomes, we should be concerned about (a) the rising relative prices of goods and services that workers consume such as housing and education; (b) the rising costs of benefits, especially health care, and (c) the slow productivity growth in services as compared with the rapid productivity growth in investment goods. In the period after 2000, the declining share of labor (and rising share of profits) does warrant further explanation (in arecent working paper, I argue this growing gap reflects a particular type of technical change), but prior to that, simplistic comparisons of “real” output per worker and “real” wages are likely to lead analysts to draw the wrong conclusions.

Figure 5 shows net output per hour and hourly real product compensation, with the difference between them driving labor’s share in net income (blue line). Between 1970 and 2003 the growth in hourly real product compensation matched the growth in hourly real net output per worker. In 2003, therefore, the share of net compensation paid to labor was the same as in 1970. If the rise in average net output per hour is a good measure of the marginal product of labor, for this 33-year period, the data are compatible with the assumption that workers have actually seen their wages rise as rapidly as their marginal product. Since labor’s share in income fluctuates over the business cycle, and was therefore unusually high in 2000 for cyclical reasons, we cannot be confident about dating when the decline in labor’s share in income began. But it is clear that labor’s share has been unusually low since 2008, and real wages and compensation for workers of all skill levels has been slow.

Fourth, the measure of output that is generally used to depict productivity is gross output and thus includes the consumption of capital. Especially in recent years, the use of shorter-lived capital has increased the share of depreciation in gross output; a better productivity measure is net output per hour that takes this depreciation into account. Net output per hour has been growing at 1.8 percent per year since 1970, somewhat slower than the pace of gross output per hour (2.0 percent). Comparing real product compensation with net output per hour gives us the relationship between productivity and labor compensation that is relevant for measuring income shares.

Measuring real product compensation shows that between 1970 and 2000 workers could have increased their purchases of the goods and services they produced at the same rate as the rise in output per worker. This suggests that the decline in labor’s share in income only began in 2000.

A third issue is that different price measures are used to estimate real output and real hourly compensation. The expectation that “real” wages will rise with “real” output per worker reflects the assumption that workers buy the goods and services they produce or that the price of their output and their consumption will rise at the same rate. But these expectations are flawed. The mix of goods and services that workers produce—which is reflected in the business sector price deflator used to measure real output per worker—differs from the mix of goods and services that is reflected in the consumer price index. In particular, the prices of investment goods such as machinery that have risen slowly feature prominently in the business sector price deflator, while items such as the price of shelter that have risen rapidly feature prominently in the consumer price index. In fact, since the business sector deflator has risen more slowly than the consumer price index, if we deflate the rise in nominal hourly compensation by the business sector price deflator to estimate what would happen if workers actually bought the goods and services they produce—a measure sometimes called real product compensation—we find hourly compensation has actually increased at an annual rate of 1.7 percent per year (see figure 4).

Second, workers are paid more than their take-home hourly wages. Their compensation also includes benefits such as health care and social security, which have increased faster than wages. A more complete measure of real earnings is real hourly compensation that takes all benefits into account. Especially prior to the mid 1990s, real average compensation per worker increased more rapidly than real wages.

First, production and nonsupervisory workers do not constitute the full US labor force. Broader measures that include the wages of all workers show considerably more real wage growth—a reflection of the fact that the wages of more skilled and educated workers grew much more rapidly than blue-collar workers with less education (figure 2).

In a recentNew York Timesarticle, Eduardo Portersuggests that this gap has been growing for decades, claims it can be found in many other countries, and conjectures that automation that displaces middle-skilled jobs and “a harsh new global economy” may be responsible. But when the numbers are measured more comprehensively—when wages are broadly defined as compensation to include benefits, comparable price indexes are used to calculate differences in wage and output growth in constant dollars, and the output is measured net of depreciation—the puzzle of lagging wages disappears, at least for 1970-2000. While prior to 2000 blue-collar workers fared especially poorly, constant dollar labor compensation for all workers actually kept pace with output. When appropriately measured, from 1970 to 2000, and perhaps to as late as 2008, the growth in overall worker compensation was precisely as rapid as the growth in average labor productivity would imply. This suggests that the key to explaining sluggish long-run wage growth is understanding productivity growth rather than what drives the distribution of income between capital and labor. If there is something about the American economy that has kept workers from maintaining their share in output as the economy expands, this phenomenon has materialized only relatively recently.

Since 1970, the real wages of US production workers have stagnated, despite the rapid growth in output per worker. This apparent disconnect between labor productivity and real wages is most dramatic when real output per hour is contrasted with real average hourly wages since 1970. While real average hourly wages have stagnated, business sector output per hour has grown at 2 percent per year (figure 1).

  • Wages/Income
  • Productivity
    • Institutional Capabilities
    • Workforce Reorganization
      • High vs Low Skill
  • Workforce
    • Inequality

Friday, July 24, 2015

PISD data on hours worked by quintile

AI Summary. Household total hours worked rise with income, with top-quintile households consistently working more hours than lower-quintile households.

Shaylee Wheeler N/A
Date Posted:
July 24, 2015
Is Database:
Database

@ShayleeWheeler The data on household total hours worked by income quintile reveals significant disparities in labor distribution across economic strata, with the top quintile consistently working more hours compared to lower quintiles.

Do higher-income households work more hours than lower-income households?

Core argument: Household total hours worked rise with income in the PISD data, with the top quintile consistently working more hours than lower quintiles.

The data on household total hours worked by income quintile reveals significant disparities in labor distribution across economic strata. The top quintile, representing the highest earners, consistently works more hours compared to lower quintiles, highlighting a potential correlation between income and labor input. This trend underscores the economic divide, as higher-income households not only earn more but also contribute more labor hours, potentially influencing productivity and GDP growth. Conversely, lower quintiles exhibit fewer hours worked, which may reflect barriers to employment or access to opportunities. These insights are crucial for policymakers aiming to address income inequality and improve labor market participation across all income levels. Understanding these dynamics can inform strategies to enhance economic inclusivity and optimize workforce utilization.

Takeaways by Macro Roundup® AI

  1. Household total hours worked rise with income in the PISD data, with the top quintile consistently working more hours than lower quintiles.
  2. Lower income quintiles record fewer hours worked in the PISD data, which may reflect barriers to employment or access to opportunities.
  3. The PISD breakdown by quintile shows higher-income households both earn more and contribute more labor hours, a pattern relevant to policymakers addressing income inequality and labor market participation.

I copied that specific sheet into an entirely new notebook - hopefully this works. (I assumed you wanted the data sheet on Household Total Hours Worked by Income Quintile, but I can grab any of them).

I made a copy - try this one?

Spreadsheet attached.

https://www.dropbox.com/s/a7711k65nahsqmn/Basic%20results.xlsx

  • Inequality
  • Workforce
    • Wages/Income


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