I will begin from the end to end with the beginning.
Torche’s article is rather impressive and
furthermore it will become a classical work in Chilean sociology giving that
this is the first mobility study regarding Chile published in a journal of high
impact. Was it both apish and risky, however, to acknowledge that Chile—even
though its level of inequality is rather high—is more fluid than USA and, of
course, “more fluid than any of the
advanced countries” (Torche, 2005:441), without making any reference to a
potential case of structural mobility but also because fluidity depends on both
conventions and time?[1] Certainly
my question has a rhetoric tone; however, this question raises the issue of
whether metrics can, after all, be a representation of reality or normative
ideas.
One of the onymous reviewers of Torche’s article was
Richard Breen (Torche, 2005:421). Both scholars were already aware of the very
weak relationship which can be established between inequality and fluidity. Torche
states the foregoing in p. 426, and Breen (and Luijkx) in the following quote
informs us that
“Our
model posits that, given the level of income inequality in each country in the
1970s, changes within a country in β follow the same trend as the Gini index.
Thus we test for a common effect on b, in all countries, of income inequality:
or, in other words, a common slope coefficient (…) In the second model we
include income inequality, as measured by the Gini index. Not only is there no significant relationship between fluidity and the
Gini index, its coefficient has the wrong sign.” (Breen
and Luijkx, 2004:396,
my emphasis)
If the relationship was acknowledged to be problematic
by Torche, or in more polite terms inconclusive (p.426), why insist in this matter?
Or in other words, why to build a work based on a hypothesis that does not have
strong empirical support? What is the (theoretical or methodological) value of presenting
Chile as a counter case of the indirect relationship of these two variables? In
order to falsify any direction of this hypothesis it seems that not only
several decades of research are required (as Breen’s book suggests) since a
research program of this sort entails the collection of several generational
trends that cross sectional cohort analyzes cannot assess—or at least they should
have enough large Ns to be
representative of each generation, as Blau and Duncan’s work suggested (1967). More
particularly, under what criteria was appropriated to assess fluidity in
contrast to inequality in Chile from a cross-sectional survey whose N reported was 3,002 (p.432), however
the N of each cohort (1964-1973;
1974-1988; 1989-2000) (p.441-442) was not reported. This latter criticism can
be unfair because I am using a methodological argument—similarly as Hauser and
Logan’s (1992) cross-validation argument to disprove Rytina’s SSCI—to disregard
Torche’s findings rather than study her main argument i.e. Chile is an
adjudicative case since its level of inequality is one of the highest in the
world, yet its fluidity surpasses USA and several other industrialized
countries. In sum this observation attacks the inappropriate use of inequality
as a variable which can be associated to fluidity.
However behind this observation another element can
be discussed i.e. Chile’s fluidity. I am inclined to think that Chile’s high
fluidity is capitalizing from its pattern of late urbanization (if compared to urbanization
processes which some industrialized countries went through). For instance as we
can observe in table 1, there has been an indeed dramatic increase of
urbanization in Chile for the 1950-2000 period, and the latter can be associated
to the “reverse” spillover of the 444 cases of class VIIb (Farmer workers) and
the 316 cases of class IVc (Farmers) (p.433).
Table
1 Chile´s
percentage of urbanization (1950-2000)
Year
|
1950
|
1960
|
1970
|
1980
|
1990
|
2000
|
Percentage of
urbanization
|
58,4
|
67,8
|
75,2
|
81,2
|
83,3
|
84,7
|
Source:
Alfredo Lattes, Urbanizacón, Crecimiento Urbano y Migraciones en América Latina
UN-ECLAC (2000)
The massive dropping of both classes from 15% to 8%
in class VIIb, and from 11% to 4% in class IVc denote a very fluid country. But
interpretation of fluidity, if one accepts the class typology proposed by
Erikson and Goldthorpe, must be then done cautiously. More precisely movements
from origin to destination might not at all occur due to competition between
individuals which fight for scarce resources since what we observe is the
expansion of the service sector and rural-urban immigration.
While it is indeed attractive, and actually
promising, to think of different directions between these two variables as it
is suggested in figure 1 (complementing in fact Friedman’s theory (1962)),
pursuing with this enterprise can be nonetheless misleading or at best really
expensive. Specifically, to obtain values for the fluidity variable requires
the introduction of several ad-hoc effects to standardize the metric for very
low Ns (i.e. countries),[2]
and therefore it stretches several assumptions which need to account for
internal differences. Furthermore, if one variable of a “simple” bivariate
analysis presents problems of operationalization, it would be then even more
difficult to convey one of the four suggested functions (figure 1).
A last point regarding Torche’s analysis is the
metric of distance among classes based on the implicit hierarchical and
therefore normative definition of class structure proposed by Erikson and
Goldthorpe. While Erikson and Goldthorpe acknowledge that countries have their
own economic dynamics, which can be captured by adding the four effects—elements
which are very well developed by Torche—the distance ultimately depends on who
or better what occupation occupies what class. The problem with this strategy
however, as we will see with Rytina’s SSCI, is that these distances are
arbitrary because certain consensus, in this case mostly European, capture a pre-determined social order. Two examples
can illustrate the latter, a university professor in Chile compared to a
university professor in England, is less likely to have, ceteris paribus,
higher income, or an itinerary seller, that is an individual who sell products
in the street particularly to car drivers or passengers when the traffic light
is red, populates the membership of self-employed category and this occupation
is likely to be inexistent in England.
Figure
1
Four theoretical macro-relations between ‘Inequality’ and ‘Fluidity’
Rytina’s proposal deals with certain scale
conventions in occupational mobility which can be regarded as problematic. While
of high practical value, these metrics can ultimately be misleading since they
only capture a lower part of how occupation mobility is distributed but also this
distribution is likely masking the inertia of the occupations and favoring
findings of achievement. Both SEI and prestige scales are constructs which have
been widely used, however, part of their operationalization in trying to
capture normative orders (what is conceived to be high or low in terms of honor)
and these cannot be regarded as universal (or at least require a big deal of
contextualization). More specifically the imposition of arbitrary scores to
nominal categories of occupations by introducing two pieces of information such
as income and years of education or by assigning subjective scales ultimately
implies that what is being captured as mobile or rigid are only scores which
represent constructions, rather than a difference between destination and
origin based on more pure information i.e. the occupation. According to Rytina the
key is to identify the metric which grasps the distance between one value and
another (one occupation versus another) in order to regard these several
movements as far or close. This metric is critical because it ultimately
reflects mobility or rigidity. The question then is what type of values
(scores) should be considered in order to assess differences between two
occupations while simultaneously avoid the imposition of arbitrary scores? In
order to build an algorithm which can distribute values according to the
distance between origin and destination Rytina acknowledges that a similar
attempt, based on the technique of canonical scale has been done by several
authors, however one potential drawback is that the “scale scores of father’s
DOCs and offspring’s DOCs need not be equal for asymmetric tables”. The
algorithm proposed by Rytina solves the challenge of finding both a vector “such the correlation r of father with offspring is a maximum” (1992a:1686) and “” (ibid). The values
obtained from this formalization are the Symmetric Scaling of Intergenerational
continuity (SSIC) scores.
Rytina tests three (actually five) scales that compete for the
understanding of occupational mobility: prestige, SEI and SSIC and through
several correlations (1992a:1669, see table 1) we can observe that these scales
measure very similar patterns. However, the advantage of the SSCI over the SEI
scale is that the latter corrects SEI scores by “repositioning occupations to a
closer correspondence with the details of ascent and descent” (1992a:1671). In
other words SEI scale is less faithful to grasp the feature of occupational
mobility, and therefore conclusions from its application can be misleading. In
order to test this last statement Rytina reassesses the status transmission
process (father’s occupation (a), father’s occupation on education (b), and
education (c)) by using five scales. It can be seen that the direct effect of
father’s rank on offspring rank is larger than it was commonly accepted (1992a:1674).
Or in other words education is not “the predominant generative source fir the
intergenerational stability of occupational rank”. The implications of this
finding can be for many uncomfortable because there is a possibility that
achievement is a product of more complex processes than individual performance,
but also because it entails to change a specific habitus of scaling occupations. Nevertheless, we can see from Hout
and DiPrete that “education is [still regarded as] the
main factor in the intergenerational reproduction of social standing because
the product ac is greater than the direct effect of origins (b)” (Hout and
DiPrete, 2005:6).[3]That
statement is unfortunate because regardless of how strongly in empirical,
methodological and theoretical terms education was proven to be imprecise.
Naturally SSCI should be tested in order to assess its generalizability.
Rytina actually observes that one potential source of falsification is the
application of this scale to other samples (1992a:1676) and that is actually the
route taken by Hauser and Logan (1992). While Rytina observes that one of the
main criticism from these authors is the lack of cross-sample validity
(1992b:1729), I think another more subtle criticism which these two author also
raised is how time is ultimately not captured in SSCI. That is why they use two
different times of measurement: 1972-86 and 1987-90 (p.1695 and 1699-1700).
What I mean by time in this case is the theoretical assumption
that mobility or fluidity can change in two or more different points of time
and that is how we can eventually observe that one the four functions, between
fluidity and equality can be conceived. This strategy would allow us to
understand whether mobility has increased, remained constant or decreased.
Rytina, I think is more explicit about this challenge in 2000, and definitely
tackles the issue in 2008. One elements
that Rytina highlights as imprecise in Hauser and Logan’s application and interpretation
of SSIC’s scores is that values from one period of time cannot automatically be
taken, or imposed to another period of time i.e. an older survey (1992b:1739-1741).
In other words SSIC by definition cannot be taken as permanent. What the
researcher should ultimately assess is the method of scaling, and therefore
avoiding the reification of scales, because there are local elements which also
constrain the process of stratification (Rytina, 2008). The risk of taking this
approach however is high because a fixed variable seems to protect the illusion
of parsimony and by introducing new information to the network of (social
stratification) scholars reaction is likely to be of resistance. Lastly, Rytina
in 2000 develops the SSIC further and findings are less promising for those who
have education to be more decisive than father’s occupation. Furthermore, this
methodology also captures massive changes in occupational stratification from
1987 and onwards. The implication of this last finding seems obvious, but it is
less precise if the SEI were taken as the proper scale because its values are
fixed, or do not depend on distances which change in reference to specific
contexts. The development of this study actually is a more solid answer to the
core criticism presented by Hauser and Logan because data is taken from
different time periods (1972 to 1990)[4]
(2000:1236). Perhaps now is time to bring some form of SSIC to another country,
I guess Chile can be a good option.
References
Breen,
R. and R. Luijkx. 2004. “Conclusions.” Chapter 15 in Social Mobility in Europe,
edited by Richard Breen. Oxford, UK: Oxford University Press.
Friedman,
M. 1962. Capitalism and Freedom. Chicago: University of Chicago Press
Hauser,
R M. and J. A. Logan. 1992. “How Not to Measure IntergenerationalOccupational
Persistence.” American Journal of Sociology 97(6):1689-711.
Hout,
T. A. DiPrete. 2006. What we have learned: RC28’s contributions to knowledge
about social stratification? Research in Social Stratification and Mobility 24,
1–20.
Lattes A. 2000. Urbanización, Crecimiento Urbano y
Migraciones en América Latina [Urbanization, Urban Development and Migration]UN-ECLAC.
Rytina
S. 2000. Sticky Struggles. http://www.mcgill.ca/stickystruggles/ . 2008.
________,
2000. Is Occupational Mobility Declining in the U.S.? Social Forces, Jun., vol.
78, no. 4, p. 1227-1276.
________,
1992a.Scaling the Intergenerational Continuity of Occupation: Is Occupational
Inheritance Ascriptive After All?” American Journal of Sociology, v97 n6.
________,
1992b. Response to Hauser and Logan and Grusky and Van Rompaey. American
Journal of Sociology 97:1729-48.
Torche,
F. 2005. Unequal but Fluid: Social Mobility in Chile in Comparative
Perspective. American Sociological Review, Jun., vol. 70, no. 3, p. 422-450.
[2] This indeed could be corrected
by introducing years per country, however, as Sorokin’s analysis implicitly
suggests capturing this type of variability can take up decades.
[3] I am deliberately using this
quote because Hout and DiPrete suggest this finding to be one of the 19
empirical generalizations which about 40 researches arrived to after 55 years
of social stratification research.(Hout and
[4] 1979 and 1981 were the only two
years where surveys were not carried out (2000:1236).