Technological Progress, Employment and Living Standards in the Long Run Flashcards
Production Function
Let’s model a production function that explicitly includes capital goods and technology
* Cobb-Douglas production function (variant of a Solow growth model)
𝑌=𝐴𝐹(𝐾,𝑁) =𝐴𝐾^α𝑁^(1-α)
- K denotes capital stock
- A is the total factor productivity that also includes the
technology in use - α is the share of capital used and
0<α<1 - Y and N are as in Unit 14
Production function assumptions
The production function exhibits constant returns to scale
* Technological progress is labour-saving
* The production function is characterised by diminishing returns to capital
Dividing by N:
y = Ak^α
What y = Ak^α shows
This equation shows that output per worker will depend on:
* capital per worker
* total factor productivity (including technology)
* This equation is what is shown by Figure 16.2 in the textbook and we can obtain the average product of capital and marginal product of capital from it
Production function: APL
Technological progress rotates the production function upwards
* Offsets the diminishing marginal returns to capital
* Makes it profitable to invest domestically, leading to increased capital intensity
Technology and living standards
Technological progress and capital goods accumulation are complementary:
* New technologies require new machines
* Technological advance is needed for increasingly capital-intensive methods of production to be profitable
* This process allows a sustained increase in average living standards
Capital and labour productivity
Unlike our concave production function, capital productivity remained roughly constant over time in the technology leaders. Why?
* These countries experienced a combination of capital accumulation and technological progress
* Technological progress results in:
* Process innovation – new ways of making and delivering products
* Product innovation – firm brings new varieties and qualities of products to the market
Beveridge Curve
Job creation is strongly procyclical whereas job destruction is countercyclical
* Let’s introduce a new curve: the Beveridge curve
* It shows the inverse relationship between the unemployment rate and the job vacancy rate
During recessions, firms post fewer vacancies and lay off workers
* During booms, firms post more vacancies and hire more workers
Labour Market Matching
Newly posted vacancies are not filled instantly because of issues/frictions with labour market matching:
* Mismatch – unemployed workers may not have the skills required for the job; jobseekers and vacancies may be located in different parts of the country
* Jobseekers and/or employers may not know about each other (information frictions)
* Policies and technology can improve efficiency
* Industry-specific shocks or shocks that prevent workers from moving increase the mismatch (lower efficiency)
Changes in the Beveridge curve
The Beveridge curve can shift over time
* The German Beveridge curve shifted closer to the origin due to reforms that helped unemployed workers find jobs
* The US curve shifted away from the origin due to a skill- based mismatch
and limited worker mobility (industry-specific shocks and housing crisis)
Long run labour market model
Long run: output, employment, prices, wages, capital, institutions and technologies can all adjust
* What determines economic performance in the long run?
* Long run employment rate depends on how well
policies and institutions deal with:
* Work incentives - depends on long run wage
setting curve
* Investment incentives - depends on long run price setting curve
Long run labour market model assumptions
In the long run labour market model, we assume:
* Firms are all of a given size
* Changes in capital stock determined by entry or exit of firms
* In the long run, firms can enter or exit * Constant returns to scale (CRS)
* Long-run equilibrium in the labour market:
* wages, employment level, and the number of firms are constant
Equilibrium markup
Recall from Unit 7 and 14 markup, 𝜇 = 1/elasticity of demand
* High markup ⇒ firms enter
* Lower markup ⇒ firms exit
* Self-correcting process:
* More firms ⇒ more competition ⇒ higher elasticity of demand facing firms ⇒ lower markup ⇒ fewer firms
* Fewer firms ⇒ less competition ⇒ lower elasticity of demand facing firms ⇒ higher markup ⇒ new firms attracted
What shifts the markup?
Improvement in business operating environment
* An improvement due to legislation (e.g., property protection)
Reduced costs, decreases markup as more firms enter as safer to operate
LRPCS EQ
Equilibrium markup (𝜇∗) prod of labouir (lambda)
* Therefore, long-run price-setting curve is given as:
w = lambda(1-markup)
- Recall the CRS assumption: long-run price-setting curve is flat
What shifts long run price setting curve
Long-run price-setting curve can be shifted by:
* Output per worker - price-setting curve is higher the higher is output per worker
* Mark-up - price-setting curve is higher the lower the long run μ at which firm entry and exit is zero