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November 21st, 2015

The debate on social mobility is stuck: time for a city perspective

1 comment

Estimated reading time: 5 minutes

LSE BPP

November 21st, 2015

The debate on social mobility is stuck: time for a city perspective

1 comment

Estimated reading time: 5 minutes

1l0pJda0_400x400-e1447072584105There is a gap in our understanding of social mobility, writes Gavin Kelly, and explains this is because we don’t know how the distribution of opportunity varies across UK cities. Yet such regional understanding could hold the key to a more informed national conversation.

Social mobility plays a curious and sometimes tortuous role in our national political psyche. We love talking about it even if we can’t, or won’t, do much about it. Greater mobility is a goal lionised by all politicians — along with the NHS it’s perhaps the closest thing to a secular faith that you will find at Westminster. Our media lap up story after story on it. And research on the issue has undergone a mini-boom in our top universities, dominating the work of some of our finest scholars over the last decade or so.

Yet for all this attention there is a disheartening rhythm to much of the policy debate. Every time a gloomy report is published, saloon-bar solutions to our social mobility challenge are trotted out and treated seriously contrary to all evidence (think ‘grammar schools’). The fact that the key data underpinning most of this work is very dated (relating to those born in 1970) rarely features. Complex and broad questions about the distribution of opportunity across society get shrunk into the issue of the precise number of talented but poor children who manage — or not — to get into Oxbridge.

There is also a steady predictability to the findings produced by study after study showing that the UK is an international laggard: relative to their better-off peers, poor children have the odds stacked more steeply against them in the UK than in most other advanced nations. Indeed the language of social immobility has gathered currency — with more references to ‘class ceilings’ and the ‘Great Gatsby curve’ (illustrating that high-inequality societies become low-mobility ones) among the media and policy-makers.

Sometimes this breeds a weary sense of policy-fatalism. Seasoned observers highlight with some justification that because national levels of mobility appear to be shaped by deep forces — the occupational structure of the jobs market and technological change — they can only altered by major economic transformation or massive social upheaval. The implication is that we should find something slightly more tractable to worry about.

Despite all the analysis there is much that we don’t know that might help open up the policy debate in a more productive way. Ask for a view of how social mobility across the generations varies between say London, Glasgow and Manchester and you will be met with silence. Sure, we know all sorts of things about school performance, wages, jobs, access to university, life-expectancy and how they vary across urban areas. But hard evidence of the extent to which economic opportunity gets transmitted from one generation to the next in one city compared to another? It doesn’t exist.

Which is why it’s refreshing that a new body of research jolts us into opening our minds to exactly this question. It comes in the form of a path-breaking body of US research from Raj Chetty and colleagues at Harvard and Stanford that demonstrates the enormous variation in levels of intergenerational social mobility that exists across US cities. Rather than lament national failure it invites us to explore the causes of city-level differences.

The work is a ‘big data’ research project that tracks the economic trajectories of a staggering 40 million children — in social research terms this is akin to discovering the Ark. It allows an entirely new map of uneven opportunity in contemporary America to be drawn and studied.

It’s widely known that, contra the national myth of the American Dream, the US has shockingly low levels of social mobility. But hitherto no one would have realised that the poor child in, say, Seattle, Salt Lake City or San Francisco has similar rates of upward mobility to a poor child in a high-mobility poster-boy country like Denmark. Nor do the differences fit into easy caricatures. Why does a working-class child from Seattle have a similar chance of growing up to lead a middle-class life as a middle-class kid in Atlanta (both booming cities)? Why does Pittsburgh so outperform nearby Cleveland? The variations are huge: poor children have almost three times more chance of making it into high income households as adults in some cities compared to others.

Chetty believes his research can account for the great majority of this variation. Some of the answers don’t translate to the UK: race is not surprisingly a major factor in the US whereas in the UK the story is more nuanced (for instance, poor white children do least well; whereas those from BEM backgrounds are disadvantaged in terms of how their qualifications are translated into wages). But some of the most powerful findings are suggestive for us. Social segregation of the poor due to patterns of housing has a strongly negative effect on mobility as does long commute times. High levels of overall income inequality in an urban area are a big drag on mobility though, interestingly, the position of the top 1% makes little difference (leading to the conclusion that it may be the relative position of the middle class that is pivotal in permitting more upward progression rather than what is happening to the run-away elite at the very top). Measures of school performance matter greatly and the evidence suggests that the pivotal years in determining prospects for mobility occur when children are relatively young. Levels of social capital — local civic engagement as well as religious participation — also stand out as being important, as does family structure.

What can we say about social mobility and cities in the UK? Excellent research has been undertaken (as I’ve highlighted here before) on how the class attainment gap in London’s schools has been dramatically reduced over a generation (though we don’t know the extent to which these big strides will translate into future earnings). And the Sutton Trust have produced an innovative and revealing map showing the variation in performance of disadvantaged children in every (English) parliamentary constituency. We also know that, if we look at earnings mobility, where you live makes a big difference: those in London have a far greater chance of advancing up the pay ladder compared to people in other regions– even after we take account of skill levels, occupational mix and other factors — and this effect became much stronger in the 2000s compared to the 1990s. Against this, it would be surprising if London’s staggering levels of inequality in income and wealth compared to other parts of the UK, together with its dysfunctional housing market, didn’t act as a heavy anchor on mobility across the generations.

Studies of social mobility repeatedly suggest that geography matters. In the UK, as with other countries, there are powerful ‘neighbourhood effects’ at work that shape the odds facing disadvantaged kids over and above all their family specific factors like parental class, income and education. Just last week new work by the LSE showed that, even after fully taking account of family circumstances and school intake, it was still the case that coming from a neighbourhood characterised by high levels of child poverty was closely linked to a strongly negative impact on educational outcomes. How a given level of poverty is distributed across an urban area appears to matter greatly to child opportunity.

These partial insights, however, only take us so far. At one level our knowledge gap about cities and much else simply reflects the fact that it’s not been possible to link up major data sets (including from HMRC) in the UK in the way that other countries have done: a sure case of the need for greater data-activism. But, at a deeper level, it also mirrors our political culture. Take part in a debate on social mobility and you will — not surprisingly — find yourself discussing familiar national themes: private schools and the demise of grammars, the rise of financial services and decline of manufacturing, mass expansion of higher education, and the role of the welfare state. But a granular discussion about alternative strategies for city-development? Unlikely.

Yet the context for social mobility may well be shaped — more than we realise — below the level of the nation state. Perhaps some of our cities are quietly generating Scandinavian levels of mobility without us knowing; or maybe the smaller, more centralised nature of the UK means they’re all much the same.

It would, however, be highly surprising if there weren’t unlearnt lessons. Decisions about housing supply and mix, land use, transport infrastructure and commute times, migrant settlement and integration, models of school improvement, the transition from education to employment, and the design of shared civic spaces and services may well count for more than we think. Powers over these issues, together with the revenue base needed to underpin them, should form at least part of our national conversation about equity and opportunity (alongside regional economic growth).

It is a feature of our times that, despite strong headwinds, our leading cities believe they have more agency to shape their economic plight than has been the case for some time. As more powerful leaders emerge across our city-regions over the next few years they could also help breathe some new life into our national debate on social mobility. It would be useful if they had some research to guide them.

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Note: This article was originally published on Gavin Kelly’s blog and is re-posted here with permission. Please read our comments policy before posting.

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About the author

1l0pJda0_400x400-e1447072584105Gavin Kelly is the CEO of the Resolution Trust, and the former Director of the Resolution Foundation. He tweets as @GavinJKelly1

 

 

 

(Featured image: opensource.com CC BY-SA 2.0)

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