How to assess a jobs-created claim

The short answer

assess a jobs-created claim

To assess a claim that a policy has created or will create a certain number of jobs, you must first identify what the claim is counting — filled positions, hours worked, net new employment, projected future jobs under a model, or some other measure. Then test the claim against independent data sources such as the Australian Bureau of Statistics labour force survey, the underlying methodology and assumptions, the counterfactual (what would have happened without the policy), and the specific geography and time period. A claim that sounds precise may be based on a model with optimistic assumptions or may count jobs that would have existed anyway.

This is a method for assessing public claims, not a verdict on a party or a direction on how to vote. Conclusions should change when the underlying law, data or implementation evidence changes.

The useful question is not only “what is the rule?” but also “who administers it, which document controls it, and when might it change?” That distinction prevents an accurate general explanation from becoming wrong advice in a particular election, chamber or policy setting.

Evidence review

Step one: define what the claim is measuring

Jobs-created claims use different definitions, and the number can change dramatically depending on which one is chosen. Common definitions include gross jobs created (the total number of new positions, without subtracting jobs lost elsewhere), net jobs created (new jobs minus jobs eliminated), full-time equivalent positions (aggregating part-time hours), jobs supported (which may count indirect and induced employment through supply chains and consumer spending), and projected jobs (forecasts from economic models that depend on assumptions about growth, interest rates and consumer behaviour).

A claim of '50,000 jobs created' may actually refer to '50,000 person-years of employment over the life of a project', which could mean 5,000 jobs for 10 years — or it could count every individual who held a short-term position as a separate job even if the same position was filled by multiple people. Before assessing whether the number is accurate, establish what the number means. Check the source document or press release for definitions. If no definition is provided, the claim is difficult to verify on its face.

Evidence review

Step two: check the geography and time period

A claim about national job creation may not tell you whether the jobs are concentrated in one state, one region or one city. A claim that a mine created 2,000 jobs in Queensland may be true, but if the neighbouring region lost 3,000 agricultural jobs over the same period due to water reallocation, the net regional employment effect may be negative. Check whether the claim specifies a geography and whether the relevant statistical geography is available from the ABS.

Similarly, the time period matters. A claim that an infrastructure project 'created 10,000 jobs' may refer to the peak construction workforce at a single point in time, the average over the construction period, or total person-years. After construction ends, most of those jobs disappear. Ask whether the claim covers the construction phase only, the operational phase, or both. Look at the ABS labour force data for the relevant region and period — the Labour Account and detailed labour force survey estimates can help you compare the claim against independent trends.

Evidence review

Step three: find the counterfactual

The most important question in assessing a jobs claim is: what would have happened without the policy or project? Economists call this the counterfactual. If the economy was already growing and adding 20,000 jobs per month, a policy that claims to have created 5,000 jobs may simply be riding a pre-existing trend. The counterfactual is inherently unknowable — you cannot run history twice — but you can assess whether the claim accounts for it.

Look for whether the claim's source uses a control group, a difference-in-differences analysis, or some other method to isolate the policy effect from background economic conditions. A claim based on a simple before-and-after comparison without a counterfactual is methodologically weak. Treasury, the Parliamentary Budget Office and independent research organisations publish analyses that may include modelling of counterfactuals for major policies.

Evidence review

Step four: scrutinise the methodology and assumptions

If the claim is based on economic modelling, find the model's assumptions. What was assumed about future GDP growth, exchange rates, commodity prices, population growth and labour productivity? If the model assumes 3 per cent annual GDP growth but the economy is growing at 1.5 per cent, the projected jobs number will be overstated. What was assumed about the multiplier — how many indirect jobs each direct job creates? Multipliers vary widely by industry and region, and a high multiplier applied inappropriately can inflate a jobs figure.

If the claim is based on a survey or administrative data, check the sample size, response rate and data collection period. A survey of 50 businesses is not a reliable basis for a national jobs claim. If the claim relies on industry self-reporting, consider whether the industry has an incentive to inflate the numbers. The ABS publishes technical notes with each labour force release explaining survey methodology, revisions and reliability.

Evidence review

Step five: compare against independent data

The ABS Labour Force Survey is the most authoritative source of employment data in Australia. It is produced monthly, uses a large sample, and follows international statistical standards. The ABS also produces the Labour Account, which reconciles labour force survey data with other sources including business surveys and administrative data, and provides industry-level employment estimates. Compare the claim against these independent benchmarks.

Other useful sources include the National Skills Commission's employment projections, the Department of Employment and Workplace Relations' labour market data, and state government economic reports. If the claim is about a specific project, check whether Infrastructure Australia, the relevant state infrastructure body, or a parliamentary committee has published an independent assessment. If the claim cannot be tested against any independent data, treat it with caution.

Evidence review

Common red flags in jobs claims

Several patterns should trigger scepticism. First, round numbers — claims of exactly 10,000, 50,000 or 100,000 jobs are almost always estimates, not counts. Second, claims that attribute all employment growth in a region or industry to a single policy or project — economies are complex and multi-causal. Third, claims based on 'jobs supported' without explaining the multiplier methodology. Fourth, claims that count every short-term or part-time position as a full job without disclosure.

Fifth, claims that use a national number to obscure regional losses. Sixth, claims that rely on modelling commissioned by the proponent of the policy without independent review. Seventh, claims that ignore the displacement effect — if a new shopping centre 'creates' 500 retail jobs but causes 400 jobs to disappear at a neighbouring centre, the net effect is 100 jobs, not 500.

Common questions

Before you rely on the answer