NAIRU

Forecast processes and methodologies: results of the 2023 special survey - Survey conducted on the occasion of the 25th anniversary of the ECB SPF

Retrieved on: 
Thursday, April 18, 2024

Stock market development and familiarity (language and distance) are considered key determinants for home bias.

Key Points: 
  • Stock market development and familiarity (language and distance) are considered key determinants for home bias.
  • The literature neglects however that investors often invest in foreign funds domiciled in financial centers.

Employment white paper to deliver more highly qualified workers in net zero, care and digitisation

Retrieved on: 
Monday, September 25, 2023

The government will commit $41 million for technical and further education and “higher apprenticeships” when it releases its white paper on employment on Monday.

Key Points: 
  • The government will commit $41 million for technical and further education and “higher apprenticeships” when it releases its white paper on employment on Monday.
  • Treasurer Jim Chalmers said on Sunday the white paper will sketch out 31 future reform directions and contain nine new policies.
  • “The government is aiming to double higher apprenticeship commencements in the priority areas identified in the white paper over five years.
  • The targets in the white paper should be seen as complementary to, but “not in conflict with” the Reserve Bank’s targets.

1 in 5 Australian workers are either underemployed or out of work: white paper

Retrieved on: 
Monday, September 25, 2023

Today’s employment white paper has adopted the broadest-ever definition of what “full employment” means for Australia.

Key Points: 
  • Today’s employment white paper has adopted the broadest-ever definition of what “full employment” means for Australia.
  • The new paper says closer to 2.8 million Australians are either underemployed or out of work – equivalent to one-fifth of the current workforce.
  • The white paper still cautions that “full employment” does not mean zero unemployment.

Underemployment and unemployment approach 2.8 million

    • While 539,700 Australians are unemployed, there are another 1 million who are employed but want to work more.
    • And there are another 1.3 million “potential workers” who are interested in working, but not currently actively looking.
    • This lifts the total number of Australians who are in some way unemployed to 2.8 million, according to the white paper.

Employment white papers date back to WWII

    • This isn’t the first Australian government employment white paper.
    • That 1945 white paper was inspired by the British white paper released in 1944, which set out an ambitious plan to carry forward the high employment achieved during wartime into peacetime.

No specific target for our unemployment rate

    • The 1965 Vernon Report on the economy was more optimistic, defining full employment as an unemployment rate of 1 to 1.5%.
    • The Keating government’s Working Nation paper – released in 1994 when unemployment was almost 10% – adopted a target of 5% by 2000.
    • The words, but not the numbers, in today’s employment white paper are consistent with an unemployment rate of 4% or lower.

Few ideas for lifting productivity

    • The white paper identifies labour productivity (output per hour worked) as crucial to increasing the purchasing power of wages, yet details few ideas for increasing it.
    • Labour productivity has slowed over recent decades, and in recent years has actually fallen.
    • Declining labour productivity is also likely to reflect the gradual shift from manufacturing to services.
    • Read more:
      Government's employment white paper commits to jobs for all who want them – and help to get them

      But weak productivity probably also reflects other things.

We can and should keep unemployment below 4%, says our survey of top economists

Retrieved on: 
Sunday, August 13, 2023

The median (middle) response was higher, but still below official estimates – an unemployment rate of 4%.

Key Points: 
  • The median (middle) response was higher, but still below official estimates – an unemployment rate of 4%.
  • Significantly, only two of the economists surveyed picked an unemployment rate of 5% or higher, which is where Australia’s unemployment rate has been for most of the past five decades.
  • Australia’s unemployment rate dived to 3.5% in mid-2022 and has remained close to that long-term low since.
  • Geopolitical events and climate change have probably pushed up the rate of inflation to be expected from any given domestic unemployment rate.

3.5% unemployment, yet falling inflation

    • Craig Emerson, a former minister in the Rudd and Gillard governments, said NAIRU was best described as the lowest unemployment rate consistent with inflation not taking off.
    • Given Australia’s inflation rate is now coming down, NAIRU is clearly below the present unemployment rate of 3.5%, he argued.
    • This is the case at present, suggesting “full employment” means an unemployment rate of 3.5%.

Fix education, job-matching and childcare

    • There was very little support for cutting immigration or the JobSeeker payment.
    • The unemployed who would benefit the most would be those further down the queue who were the least successful in finding jobs.
    • Another, Brian Dollery from the University of New England, said much of Australia’s unemployment had been generated by unemployment benefits that were too high.

Australia is about to set its first full employment target – and it will define people's lives for decades

Retrieved on: 
Tuesday, August 1, 2023

That decision is to commit future governments and the Reserve Bank to full employment, and, more importantly, spell out what that means.

Key Points: 
  • That decision is to commit future governments and the Reserve Bank to full employment, and, more importantly, spell out what that means.
  • Tuesday’s Reserve Bank decision not to increase interest rates further makes it more likely we could end up with a more ambitious target.

Australia’s daunting post-war challenge

    • In the 20 years leading up to the war, more than 10% of workforce had been out of work, climbing to 25% during the depression.
    • Their challenge was to find jobs for the 1 million defence staff who would be returning to civilian life.
    • It was also one Coombs himself adopted as the first head of the Reserve Bank of Australia from 1960.

Finally setting a jobs target

    • That final report pointed out the bank’s target for inflation is specific – defined in a written agreement with the treasurer as “2-3% on average, over time”.
    • In contrast, the bank’s target for employment has no numbers attached – resulting in inflation getting prioritised.
    • While it is true that putting a number on a target doesn’t guarantee an outcome, the number put on the inflation target does seem to have helped bring it down.

Moving unofficial targets of the past

    • And it’s worth clarifying that the target can’t be an unemployment rate of zero.
    • There will always be some temporary unemployment as people move between jobs.
    • That was its estimate of the “non-accelerating inflation rate of unemployment” (also known as NAIRU), the rate needed to stop shortages of useful workers pushing up inflation.

The lower our target, the more secure we will be

    • A lower target of 3% (not too far above the 2% Australia achieved from 1940 to 1974) would do much more than put people into jobs and better use our resources.
    • It would help us adapt to change in the way we are going to need to.

Creating confidence to face change

    • Hawke agreed with him that the economy would have to change and some industries would have to die.
    • When people knew they could get another job, they would accept change.
    • If Chalmers and the Reserve Bank adopt an ambitious target, they’ll create it and set us up for the challenges ahead.

New findings show a direct causal relationship between unemployment and suicide

Retrieved on: 
Wednesday, July 12, 2023

That is, even though the suicide rate is higher among the unemployed, can we definitely say unemployment directly leads to suicide?

Key Points: 
  • That is, even though the suicide rate is higher among the unemployed, can we definitely say unemployment directly leads to suicide?
  • Using advanced analytic techniques borrowed from ecology we have found clear evidence of a causal relationship.
  • How we detected causality
    To test for causal effects of unemployment and underemployment on suicide, we applied a technique known as convergent cross mapping.
  • A direct causal relationship between unemployment and suicide demands a re-evaluation of policies, a prioritisation of full employment, adequate social safety nets to prevent poverty, mental-health system reform, and greater urgency in shifting to a wellbeing economy.

Why has inflation in the United States been so stable since the 1990s?

Retrieved on: 
Friday, September 18, 2020

In this article, we study the causes of the stability of US inflation over the business cycle since the 1990s.

Key Points: 
  • In this article, we study the causes of the stability of US inflation over the business cycle since the 1990s.
  • We conclude that it is mainly due to a reduced sensitivity of firms pricing decisions to their cost pressures.
  • Ignoring this observation could impair the ability of monetary policy to steer inflation toward its objective.

Inflation has become insensitive to the business cycle

    • US inflation used to rise during economic booms, as businesses charged higher prices to cope with increases in wages and other costs.
    • When the economy cooled and joblessness rose, inflation declined.
    • Since then, US inflation has remained remarkably stable, even though economic activity and unemployment have continued to fluctuate.
    • For example, shortly after the Great Recession, the unemployment rate reached 10%, but inflation barely dipped below 1%, leading many economists to look for the missing deflation (e.g.
    • More recently, with unemployment below 5% for almost four years and inflation persistently under 2%, attention turned to explaining what is holding inflation back (e.g.

Is the stability of US inflation due to changes in the functioning of labour markets, a flatter Phillips curve, or improved monetary policy?

  • What explains the emergence of this disconnect between inflation and unemployment? Economists have explored three main classes of explanations.
    1. The functioning of labour markets has changed in the last three decades, making unemployment a poorer indicator of both the degree of resource under-utilisation in the economy (sometimes referred to as “economic slack”) and of the cost pressures faced by firms.
    2. Firms’ pricing decisions have become less sensitive to these cost pressures. In economic jargon, this phenomenon corresponds to a flattening of the so-called Phillips curve – a relationship capturing the fact that a boost in production typically pushes up the cost of production inputs, and thus leads to higher output prices.
    3. Policy has become more successful in stabilising inflation (McLeay and Tenreyro, 2019).
    • In this article, we discuss the relative merit of these three explanations based on evidence from a combination of state-of-the-art macro-econometric techniques.
    • [2] The bulk of this empirical evidence points towards the second explanation a flatter Phillips curve due to the reduced sensitivity of firms pricing decisions to their cost pressures as the main driver of inflation stability.
    • In terms of policy, this finding implies that inflation has become harder to steer, unless monetary authorities systematically take into account the flattening of the Phillips curve.

Our findings

    • In contrast, inflation has become insensitive to business cycle fluctuations.
    • This observation rules out changes in the functioning of labour markets as a leading explanation for the inflation-business cycle disconnect.
    • This leaves us with two possible explanations on the table, a flatter Phillips curve and improved monetary policy.
    • Monetary policy can limit their impact on inflation by leaning against the wind, that is, by counteracting their effects on economic activity as well.
    • Therefore, if improved monetary policy is behind inflation stability, these demand shocks should have minor effects both on inflation and unemployment after 1990.
    • Figure 1 plots the responses of unemployment and inflation to a demand shock before and after 1990.
    • [3] The last two panels show that the response of inflation to demand shocks has indeed become significantly more muted since 1990.
    • If this analysis is correct, the fact that economic activity collapsed while inflation did not fall substantially suggests that the Phillips curve must be flat.
    • This flattening of the Phillips curve is also what we find by estimating the New York Fed DSGE model before and after 1990.

What’s next in terms of research in this area?

    • Investigating the deeper forces behind the flattening in the Phillips Curve is outside the scope of our analysis and it is still an open question in the specialised literature.
    • The most prominent hypothesis attributes the reduced responsiveness of prices to cost pressures to the increased relevance of global supply chains, heightened international competition, and other effects of globalisation (e.g.
    • Understanding this further is of first order importance for central banks, and it is expected to be the focus of intensive research efforts going forward.

References

Yves Mersch: Remarks at the ‘Challenges in Understanding the Monetary Transmission Mechanism’ conference

Retrieved on: 
Saturday, March 23, 2019

It threatens the effectiveness of monetary policy by preventing it from steering financial conditions.

Key Points: 
  • It threatens the effectiveness of monetary policy by preventing it from steering financial conditions.
  • the targeted longer-term refinancing operations, or TLTROs) have been an effective and appropriate way to combat these challenges.
  • And I have not even mentioned the insufficient robustness or reliability of some technologies like DLT, or their energy insufficiencies and dependencies.

How does technological change affect the monetary transmission mechanism and monetary policy?

  • I will consider how technological change affects the following three broad channels of monetary transmission, without focusing on the consequences structural changes will have for the operational framework:
    1. How policy rates affect market interest rates and financial conditions.
    2. Labour markets and the non-accelerating inflation rate of unemployment (NAIRU).
    3. Price-setting and the Phillips curve.


    Technological change has multifaceted effects on the transmission mechanism. It is important not to jump to conclusions, for example that, because the Phillips curve has become flatter, monetary policy needs to be more aggressive. Let me add that, beyond technological changes, additional liquidity demand factors also stem from regulatory change, fragmentation and the fact that the banking union is incomplete.

Financial innovations have the potential to impact the way the economy is financed

  • This has led to firms having a more diversified financing structure and has improved their resilience to shocks emanating from the banking system.
  • Fintechs can lead to further bank disintermediation, but also financial deepening, by allowing otherwise constrained households and firms to borrow.

Labour markets and the NAIRU

  • Fragmentation of labour time is shown in the diverging results of compensation per employee and compensation per hour worked.
  • If there is a skill bias in the transition to digital technology, this could lead toa greater mismatch in labour markets, and therefore a higher NAIRU and lower potential output growth.

Price-setting and the Phillips curve

  • Technological changes to price and wage-setting behaviour have much deeper relevance for central banks than just the measurement of inflation. The speed and extent of how inflation reacts to shocks affects the optimal monetary policy response:
    • E-commerce may result in suppliers changing prices more frequently.[10] Not only are Amazon’s prices more flexible than prices of brick-and-mortar stores, Amazon’s competitors are forced to adjust prices more often for products that are also offered by Amazon.[11] More frequent price changes result in a steeper Phillips curve – prices react more quickly and strongly to changes in costs and output. This could also mean that inflation reacts much faster to monetary policy.[12]
    • Since online stores effectively offer the same price across locations, e-commerce may restrict the ability of businesses to set prices that deviate substantially from those of large online retailers while reflecting local conditions. So prices may change more often, but they may be more uniform, which in turn may restrict the ability of prices to reflect idiosyncratic and regional shocks.[13]
    • E-commerce changes not only how firms set prices but also how consumers shop. It has revolutionised the transparency of pricing both within and across countries, allowing consumers to easily compare prices and swap one product for another. This can result in higher demand elasticities, eroding the monopolistic and monopsonistic power of suppliers and reducing mark-ups. Profit margins at Amazon (less than 4%) are much lower than at Walmart (more than 20%).[14] Such a change in demand elasticities and mark-ups can be viewed as a flattening of the Phillips curve.
    • Finally, the emerging prevalence of e-commerce can create new opportunities for consumers to switch their shopping outlets over the business cycle. For example, there is evidence that households actively exploit price differentials across stores and “trade down” in recessions (e.g. switch from a regular grocery store to a discounter). It could be predicted that this switching will be amplified in the future because switching to an online store is particularly easy. As a result, aggregate “true” inflation may be more cyclically sensitive than is suggested by headline inflation.[15]
  • [9] The impact of e-commerce on the slope of the Phillips curve is uncertain, and studies have generally struggled to find large effects on annual inflation.
  • Given the overall difficulty in estimating the slope of the Phillips curve, this is not entirely a surprise.

Conclusions