Nobel Prize in Economics 2026

The Nobel Prize in Economics 2026 went to Robert E. Hall and Michael Woodford for rebuilding the models that governments and central banks use to steady an economy. Their central insight is that an economy is the sum of millions of decisions by households and firms, and those decisions depend on what people expect about the future.

Models built on this insight are now the main tool central banks use to decide interest rates. They replaced the post-war models, which failed in the 1970s when inflation and unemployment rose together.

Who Won the Nobel Prize in Economics 2026

The Royal Swedish Academy of Sciences awarded the prize on 12 October 2026 "for microeconomic foundations of macroeconomic stabilisation". Macroeconomic stabilisation means using interest rates, taxes and government spending to smooth out booms and slumps. Microeconomic foundations means building that analysis from how one household spends and how one firm sets prices, instead of from past statistical links between national totals.

Hall, born in 1943, is a professor at Stanford University. Woodford, born in 1955, is a professor at Columbia University. Their work connects directly. Hall's 1978 theory of household spending is the first equation in the model Woodford completed in 2003.

They share 12 million Swedish kronor and received the prize in Stockholm on 10 December 2026.

How the Great Depression and 1970s Stagflation Shaped Economic Policy

Stabilisation policy, the use of interest rates, taxes and government spending to smooth booms and slumps, has gone through three stages. It was born in the Great Depression, became standard practice after the Second World War and broke down in the 1970s.

What Keynes Argued and Why It Still Matters

The Great Depression was the economic collapse that began in August 1929 and lasted until 1941. Unemployment soared, and US prices fell by about 30% between late 1930 and early 1933. The British economist John Maynard Keynes argued that the slump came from a shortfall in total demand. When households and businesses stop spending, firms cut output and jobs. His remedy was for governments and central banks to cut rates and run budget deficits in a slump, and do the reverse when the economy overheats.

That core idea still underpins stabilisation policy. When the pandemic hit demand in 2020, the RBI cut the repo rate to 4.00% on 22 May 2020, and the US government mailed cash cheques to households. What changed after the 1970s is how policymakers decide how far and how fast to act.

How 1970s Stagflation Broke the Old Models

After the Second World War, Keynesian policy ran on models built from statistical patterns that looked stable. The best known was the Phillips curve, which says unemployment and inflation move in opposite directions. When jobs are plentiful, employers compete for staff, wages rise and prices follow. When many are jobless, wages and prices rise slowly. The British economist A.W. Phillips found this pattern in 1958 in UK wage data from 1861 to 1957. Many policymakers read the curve as a menu, believing permanently lower unemployment could be bought with modestly higher inflation.

That bargain failed. The West went through a decade of stagflation, meaning low growth, high unemployment and high inflation at the same time. Once households and businesses expected rising prices, they built them into wages and prices, so each step down in unemployment cost more inflation than the last.

Many people concluded from this decade that the stabilisation policy had done more harm than good. The lesson that stayed is that price stability comes first, and most central banks now have a numerical inflation target. India has had one since 5 August 2016. The target is 4% CPI inflation, with a tolerance band of 2% to 6%.

What Is the Lucas Critique

Robert Lucas, the 1995 economics laureate, showed why the old models failed. A pattern in past data holds only while policy stays the same, because people change their behaviour when policy changes. The Phillips curve proved it. When central banks pushed up inflation to cut unemployment, people came to expect more inflation, so inflation rose and unemployment did not fall. The fix was to build models on how households and firms decide, and Hall and Woodford built ones that still leave room for policy.

Robert Hall and the Random Walk Theory of Consumption

Hall settled a question that decides whether a stimulus works. He showed that households plan spending around what they expect to earn over their lifetimes, and change their plans only when genuinely new information arrives.

Why Household Spending Decides Whether a Stimulus Works

Household consumption is the largest part of demand in any economy, so every stabilisation decision depends on how households react to a change in income. Economists measure this with the marginal propensity to consume, the share of an extra rupee of income that people spend.

Before Hall, two answers stood far apart. The Keynesian view said people spend about two thirds of any extra income, so each rupee of government spending lifts output by about three rupees. Milton Friedman's permanent income hypothesis (1957) said people spend based on expected long run income, so they spend only about 2% of a one-time windfall each year. Under the first view a stimulus is powerful, and under the second it barely works. Friedman's view could not be tested, because no one could observe people's expectations.

How Hall Tested Forward Looking Spending in 1978

Hall found a way around the problem. If households already use everything they know about their future, today's spending already reflects it, and only news can change their plans. News cannot be predicted, so changes in spending should not be predictable either.

Hall tested this on quarterly US data. After accounting for current spending, past income had almost no power to predict future spending on non-durable goods. Economists call this the random walk of consumption, because each change in spending is as unpredictable as the news behind it.

What Are Hand to Mouth Households

Hall did not claim that everyone plans ahead. In 1982, with Frederic Mishkin, he studied the food spending of 2,309 US families between 1969 and 1975. About 80% of consumption followed the forward looking pattern, while 20% moved in step with current income. These are hand to mouth households, families with little savings or credit who spend whatever comes in.

Later evidence confirms the mix. Across studies of real government payments, households spent 21% of a one-time payment on average, or 11% after correcting for publication bias, the tendency of journals to favour striking results. A 1989 study of six advanced economies put the hand to mouth share near half of consumption. So a stimulus lifts spending more when it reaches households that spend what they receive, and models used by central banks and finance ministries now include both kinds of household.

Note: Illustrative example based on shares reported by the Royal Swedish Academy of Sciences, 1 Finance Research

Michael Woodford and the New Keynesian Model

Woodford built the New Keynesian model through papers in the 1990s and his 2003 book Interest and Prices. Its simplest version has three equations, each describing one forward looking decision.

1. Households decide how much to spend. This is Hall's rule. A higher expected real interest rate, meaning the interest rate after inflation, makes people save more and spend less today.
2. Firms decide their prices. Firms change prices only occasionally, which economists call sticky prices. So a firm resetting its price today builds in the costs and inflation it expects for the months ahead.
3. The central bank sets the interest rate by a rule. When inflation rises, it raises its rate by more than the rise in inflation, which lifts the real rate and cools demand. This is known as the Taylor rule.

The central bank's rate shapes household spending, spending creates demand that firms respond to with prices, and inflation then feeds into the next rate decision.

How Central Banks Steer the Economy With Interest Rates

Older models treated monetary policy as control of the money supply. Woodford's model has no money in it. He drew on the Swedish economist Knut Wicksell, who in 1898 described a natural rate of interest, the rate that neither speeds up nor slows down the economy. A central bank steers the economy by setting its own rate above or below that natural rate. The vast majority of central banks now work this way. The RBI's tool is the repo rate, the rate at which it lends overnight to banks.

What Is the Output Gap

Woodford also gave policymakers the output gap, the difference between what the economy actually produces and what it would produce if prices adjusted freely. A positive gap means demand is running too hot and inflation will rise.

When energy prices jump, output falls, but the economy's potential output falls even further, so the gap can turn positive. The model then says to raise rates even as output falls. In the 1970s, the US Federal Reserve did the opposite and eased policy.

Why Central Bank Credibility Matters

Because households and firms look ahead, what people expect a central bank to do matters as much as what it does today. This is the basis of forward guidance, where a central bank tells the public how it expects to set rates in future. Woodford and others proposed forward guidance for times when rates sit at the zero lower bound, the point where rates are near zero and cannot be cut further.

Forward Guidance Examples From the US and India

The New Keynesian model had been in use for about a decade when the 2008 global financial crisis and the Great Recession that followed tested it.

The October 2026 statement uses Woodford's logic directly. The RBI said that monetary policy "primarily acts by curtailing second round effects", meaning it tries to stop a food and fuel price shock from spreading into wages and other prices.

What the New Keynesian Model Improved and Its Limitations

The new framework keeps Keynes's core insight, that demand matters and policy can help, while changing how the models are built.

The framework still has three known gaps.

India shows how guidance can change course. On 5 October 2018 the RBI held the repo rate at 6.50% and moved its stance from neutral to calibrated tightening. CPI inflation then fell to 2.2% in December 2018, its lowest in 18 months. On 7 February 2019 it cut the rate to 6.25%, returned to neutral and lowered its inflation projections. A stance signals intent based on current data, and the RBI changed it when the data changed.

Conclusion

Hall and Woodford revived stabilisation policy after the 1970s showed it could do real harm. Hall proved that most household spending looks ahead and measured the share that does not. Woodford built that insight, together with forward looking price setting, into the model central banks now use to set interest rates.

Central banks move the economy through expectations as much as through rates, and their words carry weight only while people believe them.