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Inequality (whether strictly in income or if not, in perks and status) is just a fact in every political/economical system in existence now or in the past, whether these systems where economically succesful or not.

I take it for granted the desire for some degree of inequality is rooted very deep in the human physiology (I mean, the desire to be on the higher end of the ladder, of course), just as well as offsetting tendancies for altruism and equity (not the same as equality), which make most primates "social species" and not just lone predators.

May be your question should be rephrased as "does GDP growth implies income inequality growth ?"

Stricly considering the span of all incomes, I think yes (the rock bottom will always earn absolutely nothing, whatever the wealth of a nation, whatever the social system, there are always dropouts - meanwhile, if the total wealth grows, the top earners will probably earn more even if their share in the total erodes).

With more subtle statistical definitions of inequality, like variance, percentiles etc... I think history says no: Jérôme has shown us many graphs with the rich getting much richer in recent years, but also that in many other periods of recent history inequalities were stable or decreasing, although western economies were still experiencing growth during these periods (including most of the cold war, viet nam war, etc..)

May be we should look into other predictors of change in inequality, I think we could find something better with combinations of:

  • the change in the rate of growth,
  • the inflation rate (notice the record low inflation of recent years ? profits mostly the asset-owners, whereas high/growing inflation, as long as it doesn't turn into outright chaos, profited middle class households with fixed-rate mortgages through most of the 2nd half of 20th century),
  • the fiscal gap, as defined in generational accounting, eg Kotlikoff: this measures how the boomer generations are getting richer than the young will ever be...

Feel like doing some parametric fitting in R ?

Pierre
by Pierre on Mon Nov 6th, 2006 at 10:13:56 AM EST
[ Parent ]
May be your question should be rephrased as "does GDP growth implies income inequality growth ?"

I think I mean what I said: GDP growth correlated with income inequality.

Where are the data for this parametric fitting?

Those whom the Gods wish to destroy They first make mad. -- Euripides

by Migeru (migeru at eurotrib dot com) on Mon Nov 6th, 2006 at 10:20:57 AM EST
[ Parent ]
mm, the data... that's the really difficult part.

Well, I know where to get inflation, growth series for France (e.g. www.insee.fr). But inequality is much harder to summarize with a single indicator. INSEE does regular studies in France, but the frequency is far lower than yearly (like, every 5 years) and the indicators do not all remain the same making comparison very hard over 10, 15 years. Generational accounting is only coming into the spot lights now, and we certainly won't find any retrospective series on this at this point (and probably not anytime soon in France).

For other countries, which we would need to make correlations significant , the same series that are easy for France would be easy too. But I am even more clueless as to how to get the others. I remember one graph from Jérôme with the income of the top US percentile, we could lay it in a table of approximate numbers. But that is still only one country.

At this point I'm thinking, correlation with such simple series as inflation and growth have certainly been run already... I'm gonna go googling !

Pierre

by Pierre on Mon Nov 6th, 2006 at 10:40:12 AM EST
[ Parent ]
Do we have a series of the Gini coefficient?

Those whom the Gods wish to destroy They first make mad. -- Euripides
by Migeru (migeru at eurotrib dot com) on Mon Nov 6th, 2006 at 10:58:53 AM EST
[ Parent ]
I found this:


Those whom the Gods wish to destroy They first make mad. -- Euripides
by Migeru (migeru at eurotrib dot com) on Mon Nov 6th, 2006 at 11:03:27 AM EST
[ Parent ]
This one mostly tells us that profiteers are king when a country spirals into collapse.

Pierre
by Pierre on Mon Nov 6th, 2006 at 11:08:55 AM EST
[ Parent ]
This diagram is practically useless. It only tracks the absolute change of gini and not the initial value or if the change was positive or negative.

As I read it, the countries that did relatively well did not change their income inequality much but those who did change it fared worse. But to which direction we cannot tell.

Orthodoxy is not a religion.

by BalkanIdentity (balkanid _ at _ google.com) on Mon Nov 6th, 2006 at 01:58:02 PM EST
[ Parent ]
And this:


Those whom the Gods wish to destroy They first make mad. -- Euripides
by Migeru (migeru at eurotrib dot com) on Mon Nov 6th, 2006 at 11:04:46 AM EST
[ Parent ]
and this one is some kind of funny modern art ...
probably based on the same IMF sort of data series in the PDF I found. it is tricky to read: if you have an increasing share of (international) trade in your gdp (i.e. you are "globalizing"), your have a positive change in Gini (i.e. more inequality, but the significance seems so low I don't know what to think of it, one of the reason the paper was bashed on the web)

Pierre
by Pierre on Mon Nov 6th, 2006 at 11:15:58 AM EST
[ Parent ]
OK, I found:

http://www.aeconf.net/Articles/May2002/aef030105.pdf

Very high in google, not sure it really warrants of its worth. Although observing that the debtor-creditor scenario can make inflation beneficial to the middle class (which has access to credit), global empirical data suggest that inflation is bad for inequalities (because the really poor don't have access to credit to take advantage of the inflation ? and because the rich move faster to adapt to it ?), even filtering out data points where it's actually hyper-inflation wrecking an entire country.

There is also this:
http://www.eldis.org/static/DOC4760.htm
from the IMF, so probably heavily loaded also (it says max growth = good for the poor, whatever the rest), but it gets wrung at:
http://delong.typepad.com/sdj/2005/06/is_inequality_a.html
(again, don't know exactly what it's worth).

So there are many references to well formatted data series in these papers, but eventually the conclusion after critical reading seems to be that ... there is no general, worldwide, significant link between anything.

OK, I go back to sleep !

Pierre

by Pierre on Mon Nov 6th, 2006 at 11:07:34 AM EST
[ Parent ]

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