Labor productivity is the average output produced per employed worker (real GDP divided by the number of workers). In AP Macro Topic 5.6, it is determined by the level of technology and the amount of physical and human capital per worker, and rising productivity drives long-run economic growth.
Labor productivity measures how much output the average worker produces. Take total output (real GDP) and divide it by the number of employed workers, and you get output per worker. That number is labor productivity.
Why does it change? The CED gives you three levers. First, technology, meaning better methods and tools for turning inputs into output. Second, physical capital per worker, like machines, factories, and infrastructure. Third, human capital per worker, like education, training, and skills. Give a worker a better machine or better training and that same worker produces more per hour. This all lives inside the aggregate production function, which shows output per capita rising as physical and human capital per worker rise. The catch (and a favorite MCQ trap) is diminishing returns. Piling more capital onto the same worker keeps helping, but each extra unit helps less than the last. Only technological progress keeps productivity growth going without that fade.
Labor productivity is the engine of Topic 5.6 (Economic Growth) in Unit 5, supporting learning objective 5.6.A, which asks you to define the measures and determinants of economic growth. Here's the core logic chain you need: economic growth is measured as the growth rate of real GDP per capita, and the only sustainable way to raise output per person is to raise output per worker. So productivity growth IS long-run growth, just measured at the worker level. It also connects to 5.6.B, because anything that raises productivity (more capital, better technology) shifts the PPC outward and the LRAS curve rightward. Those two shifts are the graphical signature of economic growth, and you should be ready to draw both.
Keep studying AP® Macroeconomics Unit 5
Aggregate Production Function (Unit 5)
This is the framework labor productivity lives inside. The function maps physical and human capital per worker to output per capita, so when you say 'more capital per worker raises productivity,' you're really just reading the production function upward along its curve.
Physical Capital and Human Capital (Unit 5)
These are two of the three determinants of productivity. A new factory robot (physical capital) and a worker training program (human capital) do the same thing on the AP exam, which is raise output per worker and shift LRAS right.
Long-Run Aggregate Supply and the PPC (Units 1 and 3)
Rising labor productivity shifts the PPC outward and LRAS rightward, and the CED treats those as analogous. This is where Unit 1's PPC and Unit 3's AD-AS model finally pay off, because productivity growth is what moves full-employment output itself.
GDP per capita (Unit 5)
GDP per capita is how growth is measured, and labor productivity is why it grows. A country gets richer per person mainly because each worker produces more, not because more people exist.
Labor productivity shows up mostly in multiple choice, and the questions test whether you can sort scenarios into 'raises productivity' versus 'doesn't.' A classic stem describes an economy with a rising capital-to-labor ratio but no new technology and asks about long-term productivity growth (the answer hinges on diminishing returns to capital). Other stems ask which scenario would NOT raise average labor productivity, or which combination of changes would raise it the most. The trap answers are usually things that increase total output without increasing output per worker, like simply hiring more workers. No released FRQ has used this term verbatim, but Unit 5 FRQs regularly ask you to show economic growth graphically, and productivity gains are the standard justification for shifting LRAS rightward or the PPC outward.
Labor productivity is output per employed worker, while GDP per capita is output per person in the entire population (including kids, retirees, and the unemployed). They usually move together, but they're not the same number. The exam uses GDP per capita growth as the measure of economic growth and labor productivity as a determinant of it. If a question describes more output per worker, that's productivity; if it describes the standard of living across a whole population, that's GDP per capita.
Labor productivity is average output per employed worker, calculated as real GDP divided by the number of employed workers.
Productivity is determined by three things in the CED: the level of technology, physical capital per worker, and human capital per worker.
Increasing capital per worker raises productivity, but with diminishing returns; only technological progress sustains productivity growth without that fade.
Rising labor productivity shifts the PPC outward and the LRAS curve rightward, which is how the AP exam wants you to show economic growth graphically.
Hiring more workers raises total output but does not by itself raise output per worker, so it is not a productivity increase. That distinction is a common MCQ trap.
Labor productivity is the average output produced per employed worker, found by dividing real GDP by the number of employed workers. In Topic 5.6, it is determined by technology, physical capital per worker, and human capital per worker.
No. More workers raises total output, but productivity is output PER worker, so the ratio doesn't necessarily change. The exam loves this trap; only better technology or more capital per worker raises productivity.
Labor productivity divides output by employed workers, while GDP per capita divides output by the entire population. GDP per capita growth is the CED's measure of economic growth, and labor productivity growth is its main cause.
Not in the long run. Adding capital per worker raises productivity but with diminishing returns, so each added machine helps less than the last. Sustained productivity growth requires technological progress, which is exactly what an AP MCQ about a rising capital-to-labor ratio with no tech change is testing.
Higher productivity means the economy can produce more at full employment, so LRAS shifts right and the PPC shifts outward. The CED (5.6.B) treats these two shifts as analogous ways to show economic growth.
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