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Income Mobility in California Across Generations
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Income Mobility in California
Across Generations
MAC TAYLOR • L E G I S L A T I V E A N A L Y S T • JANUARY 2017
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EXECUTIVE SUMMARY
Intergenerational Income Mobility. Intergenerational income mobility is the extent to
which children move up (or down) in the income distribution relative to their parents. Many
factors can affect children’s income mobility. These include geographic factors—like the safety
of their neighborhoods or the quality of their schools—their parents’ decisions, and their own
characteristics. In this report, we examine intergenerational income mobility in California using
estimates published by researchers Raj Chetty, Nathaniel Hendren, and their coauthors.
Californians’ Income Mobility Somewhat Higher Than National Average. Rates of
intergenerational income mobility in California are somewhat above the national average. This
means that, on average, children born to low-income parents in California earn slightly higher
incomes as adults than their peers in other states.
Outcomes Among Children Born Into Bottom Fifth of Incomes. The figure below displays
outcomes for Californian children born into households in the bottom 20 percent of national
incomes. Over half of these children remain in the bottom two-fifths as adults, while about
one-fourth end up in the top two-fifths as adults. Compared to their peers nationwide, this group of
Californians has greater upward mobility. Nationally, 21 percent of those born in the bottom fifth
end up in the top two-fifths.
Californians’ Higher Mobility Not Due to Living in California. The evidence in this report
suggests that Californian children have higher rates of income mobility because of their parents’
and their own characteristics, not because growing up in California results in more mobility. On
average, growing up in California results in somewhat lower adult earnings for children compared
to living elsewhere in the United States.
“Growing up in California” includes all
geographic factors that affect a child’s OOuuttccoommeess AAmmoonngg CCaalliiffoorrnniiaa CChhiillddrreenn
BBoorrnn IInnttoo BBoottttoomm FFiifftthh ooff IInnccoommeess
income mobility, including school quality,
neighborhood safety, and community Share
of People. . .
interactions. According to the Chetty and
35%
Hendren estimates, had these children
30
grown up somewhere else, they would
have experienced slightly greater upward 25
income mobility.
20
Effects Vary Within California. While
15
growing up in California results in lower
future earnings for low-income children 10
on average, there is a great deal of variation 5
in these outcomes at a local level. Within
With
California, growing up in a particular Incomes Bottom Second Third Fourth Top
in the. . . Fifth Fifth
county can increase or decrease a child’s
Note: If each child had an equal chance of ending up anywhere in the income
future annual income by a couple of
distribution, each of these five bars would be 20 percent.
thousand dollars.
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Traits of Places That Produce More Income Mobility. The fact that different places produce
more or less intergenerational income mobility leads to a natural question: What causes
these differences? As a first step in answering this difficult question, we highlight some of the
characteristics of places that produce more income mobility. These include: lower rates of violent
crime, better performance on some school metrics, stronger social networks, higher shares of
middle-income households, and larger shares of two-parent households. However, these do not
necessarily reflect cause-and-effect relationships.
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INTRODUCTION
Equality of opportunity—the idea that all than their parents. In this report, we use estimates
children should have a chance to succeed as from academic studies to assess intergenerational
adults—is a key motivation for many state policies. income mobility in California. In general, we
However, this abstract idea is difficult to quantify, expect to observe more mobility if opportunities
so researchers investigate it indirectly by examining are more equal. Consequently, these estimates
other related concepts. One such related concept is may signal how effectively California is promoting
“intergenerational income mobility”—the extent equality of opportunity for its residents.
to which children attain higher (or lower) incomes
DEFINING AND MEASURING INCOME MOBILITY
Definition of Intergenerational Income places results in better economic outcomes for
Mobility. Intergenerational income mobility is the children later in life.
extent to which individuals move up (or down) in . . . But Other Factors Also Influence Children’s
the income distribution relative to their parents. As Mobility. Many other features of childhood
shown in Figure 1, the child who moves further in and upbringing also influence income mobility.
the income distribution, relative to her parents, has Children’s own characteristics, as well as their
greater income mobility. For simplicity, throughout
this report, we often refer to this concept as Figure 1
“income mobility” or just “mobility.” (While Income Mobility
greater mobility leads to movement both up and
down the income distribution, this report focuses
primarily on upward mobility for low-income
children.)
Income Mobility Varies Across Places. In some
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Income
Mobility
to their parents. In other places, low-income
children tend to attain outcomes similar to—or
sometimes worse than—their parents’ outcomes.
Places Influence Children’s Mobility . . . Less Income Mobility
The places (neighborhoods, cities, counties,
states, or countries) where children grow up can
influence their earnings later in life. For example,
some neighborhoods have relatively low crime
rates, and some school districts have relatively
First Second
high-performing public schools. These or other
Generation
factors could mean that growing up in certain
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parents’ characteristics, resources, and childrearing example, the safety of the neighborhood
decisions influence children’s later-life outcomes where a child grows up. In other words, this
regardless of where they grow up. For example, measure shows the effect on mobility of
parents influence their children’s economic growing up in a particular place.
outcomes by teaching them reading skills or helping
About the Estimates. The estimates in this
them build grit or willpower. Parents and children’s
report come from research published by Raj Chetty,
own characteristics may be even more important to
professor of economics at Stanford University,
children’s mobility than the effect of places.
Nathaniel Hendren, assistant professor of
Two Measures of Income Mobility. In this
economics at Harvard University, and their team
report, we consider two ways to measure income
of researchers. (Throughout, we refer to this group
mobility. The first is broad and the second is place-
as “Chetty and Hendren” or “the researchers.”)
specific. Specifically:
Chetty and Hendren used two decades of tax return
• The broad measure of mobility reflects data from 5 million families to assemble a uniquely
all of the factors that affect children’s rich data set. They measure income using pre-tax
outcomes—including geographic factors, income from labor market earnings and capital
parenting decisions, and a child’s own (for example, from the sale of stocks or bonds),
characteristics. as well as unemployment, social security, and
disability benefits. Together, these form the most
• The place-specific measure of mobility
important sources of income for a large majority of
attempts to isolate just one set of factors
Californians. The researchers have published their
that affect mobility—the effect of growing
estimates of income mobility at the county level for
up in a particular place, holding other,
nearly all counties in the United States. For more
non-geographic factors constant. These
methodological information on these estimates, see
geographic factors may include, for
the technical appendix.
BROAD INCOME MOBILITY IN CALIFORNIA
In this section, we present two broad measures on estimates by researchers Chetty and Hendren.
of intergenerational income mobility for children In constructing this measure, the researchers
who grew up in California in the 1980s and 1990s. follow children who were born between 1980 and
First, we describe broad income mobility focusing 1991 and whose families had incomes at the 25th
only on children born to low-income families. Then, percentile of the national income distribution. (In
we examine broad income mobility throughout the our analysis, we focus on the researchers’ results
income distribution, including for children born to for those children who grew up in California.) The
middle- and high-income families. researchers measure these children’s household
earnings when they are in their early thirties and
Mobility for Low-Income Children
rank them in the national income distribution.
Measuring Broad Income Mobility for As a result, the estimates presented here capture
Low-Income Children. The broad measure of mobility for children growing up in California in
mobility presented in this section primarily relies the 1980s and 1990s.
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Hypothetical Example. Consider the example
Figure 2
of a girl who was born in 1982 and grew up in
Income Mobility Nationwide
San Jose. When she was young, her family’s
income was in the 25th percentile of the income
distribution. As an adult, she moved up to the 46th
percentile of the national income distribution. In
the 2012 income distribution (to illustrate these
figures in dollar terms), her family’s annual income 53rd Percentile
$56,000
would have been $26,000, and her adult annual
North Dakota
(Highest State)
income would be $48,000.
43rd Percentile
Income Mobility Nationwide. In the United $44,000
U.S. Average
States, income mobility for children born to
37th Percentile
parents in the 25th percentile varies greatly in 25th Percentile $37,000
$26,000 North Carolina
dollar terms. As displayed in Figure 2, on average, (Lowest State)
U.S. children born to parents in the 25th percentile
First Generation Second Generation
move up to the 43rd percentile as adults. This is
the equivalent of moving from an annual income
of $26,000 to $44,000 in 2012 dollar terms. On a
state level, the average adult income rank for these
Figure 3
children ranges from the 37th percentile (in North
Broad Measure of Income
Carolina) to the 53rd percentile (in North Dakota). Mobility in the United States
The corresponding range of annual household Average Income Rank of Children Born to Parents With
incomes is $37,000 to $56,000. Incomes in the 25th Percentile of the Income Distribution
Income Mobility in California. Low-income
Californians experience rates of income mobility
that are somewhat greater than the rest of the
United States. In California, the average child born
to parents in the 25th percentile moves up to the
44th percentile (with an annual household income
of $45,000) as an adult. Figure 3 shows how, on
this measure of mobility, California compares
to other U.S. states. While mobility is higher in
some parts of the Mountain West and Midwest,
income mobility in California is high compared
to Southern states, and comparable to some other Less than 40th percentile
Western states, the Mid-Atlantic, and much of
40th to 43rd percentile
New England.
43rd to 46th percentile
Greater than 46th percentile
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Mobility in California
Figure 4
From the Top, Middle, and Bottom
Average Household Income by
In this section, we provide a more complete Quintile in the United States
picture of income mobility in California. 2012
$181,455
Specifically, we describe how mobility varies
throughout the income distribution, including
for children born in the bottom, middle, and
top. (While this section focuses on outcomes in
California, the figures below refer to quintiles in the
$81,953
national income distribution.)
$51,590
Outcomes Among Children Born Into
$30,226
Bottom Fifth of Incomes. Figure 4 displays average
$11,361
household earnings by quintile in 2012. Households
Bottom Second Third Fourth Top
in the bottom fifth earned an annual average income
of $11,361 in 2012. Figure 5 displays adult income
outcomes for children born to households in the
Figure 5
bottom quintile. Over half of California children
Outcomes Among California Children
born to parents in the bottom fifth remain in the Born Into Bottom Fifth of Incomes
bottom two-fifths as adults. About one quarter of
Share
these children end up in the top two-fifths as adults. of People. . .
35%
Mobility among this group in California is
greater than in the United States. Nationally, about 30
60 percent of those born in the bottom fifth remain
25
in the bottom two-fifths. Just over 20 percent of
20
these children end up in the top two-fifths as adults.
Outcomes Among Children Born Into Top 15
Fifth of Incomes. Figure 6 shows that 53 percent of
10
Californian children born in the top fifth remain in
5
the top two-fifths as adults. Meanwhile, 30 percent
end up in the bottom two-fifths as adults. Compared With
Incomes Bottom Fifth Second Third Fourth Top Fifth
to the country as a whole, Californians born in the in the. . .
top fifth of the income distribution are less likely to Note: If each child had an equal chance of ending up anywhere in the income
distribution, each of these five bars would be 20 percent.
remain in the top two-fifths (53 percent rather than
58 percent) and more likely to end up in the bottom
measured precisely), 20 percent of those born in
two-fifths (30 percent rather than 24 percent).
each quintile would remain in the same quintile.
Those Born at the Top and Bottom Are Less
As the figure indicates, those born in the middle
Mobile. Figure 7 displays the share of Californians
experience substantial mobility. Just over 20 percent
born into each fifth of the income distribution
of those born in each of the three middle fifths of
who remain in the same part of the distribution as
the income distribution remain in those respective
adults. For reference, if children’s outcomes were
fifths as adults. By contrast, there is less mobility
completely unrelated to their parents’ incomes (and
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Figure 6 Figure 7
Outcomes Among California Children Less Mobility in the
Born Into(cid:31)Top Fifth of Incomes Bottom and Top of Income Distribution
Share Share of Californians Born Into Each Quintile
of People. . .
Who Remain in Same Quintile as Adults
35%
35%
30
30
25
25
20
20
15
15
10
10
5 5
With
Incomes Bottom Second Third Fourth Top Bottom Second Third Fourth Top
in the. . . Fifth Fifth
Note: If each child had an equal chance of ending up anywhere in the income Note: If each child had an equal chance of ending up anywhere in the income
distribution, each of these five bars would be 20 percent. distribution, each of these five bars would be 20 percent.
at the top and bottom of the income distribution. United States Has More Stickiness Than Other
More than 30 percent of those born in the bottom Developed Counties. Another report compares
fifth or top fifth remain there as adults. mobility statistics in the United States to a handful
Similar Pattern Nationwide. The mobility of other industrialized nations. Using different data
pattern described in Figure 7 for California is (and different methods to make the data comparable
similar to the pattern nationally. The Chetty and across countries), these researchers found that
Hendren data suggest that, nationally, 33 percent of children born in the bottom fifth in Denmark,
those born in the bottom stay there while 35 percent Finland, Sweden, Norway, and the United Kingdom
of those born at the top stay there. Some researchers are much more mobile than children born in the
have referred to this phenomenon as “stickiness” at bottom fifth in the United States.
the ends of the income distribution.
PLACE-SPECIFIC INCOME MOBILITY IN CALIFORNIA
In this section, we present the place-specific suggests that the place a child grows up affects his
measure of income mobility in California. The or her later-life income mobility. The longer a child
place-specific measure attempts to isolate just spends in a place, the larger the effect.
the effect of growing up in a particular place on How Place Can Influence Mobility. Many
mobility. That is, the measure aims to capture the geographic factors can affect mobility. Some
extent to which different places produce more (or of these factors are relatively recognizable. For
less) mobility for the children who grow up in example, the quality of children’s education, the
them, setting aside non-geographic factors such strength of social networks around them, and the
as parental characteristics and children’s abilities. extent to which they are exposed to violent crime
The evidence presented by Chetty and Hendren all could affect their future earnings. However,
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growing up in a particular place may affect future explanation of how the researchers estimated these
earnings for a wide variety of other reasons. For place-specific measures of income mobility, see the
example, a child who grows up in San Francisco— technical appendix.)
which has a strong job market—may be more likely An Interpretation: Parents’ Location Choices.
to stay in San Francisco as an adult. Growing up Here is one way to interpret this measure. Where
in San Francisco, therefore, may benefit the child could low-income parents move in order to
through her adult labor market opportunities. maximize their children’s future earnings? (We note
Measuring Place-Specific Income Mobility that parents move for many other reasons as well.)
for Low-Income Children. Like the broad measure To answer this question, the parents would need to
discussed above, the place-specific measure of know which place provides the best opportunities
income mobility uses the average adult income for their children to succeed—not necessarily which
of children born to parents in the 25th percentile place’s residents happen to have the highest rate of
of the national income distribution. In dollars, it mobility.
estimates how much more (or less) a child could Hypothetical Example. To explain the place-
expect to earn as an adult annually if her parents specific measure of mobility, we refer back to the
chose to move to a particular state early in her life. hypothetical child who grew up in San Jose discussed
Throughout this section (including in Figures 8 earlier. Her parents’ annual income was $26,000
and 9), we report this effect assuming children have and, as an adult, her annual household income is
spent at least ten years of childhood in a particular $48,000. How much of this gain can we attribute
place. We also refer to this place-specific measure to the fact that she grew up in San Jose (rather than
of income mobility as the “effect of growing other advantages like her own skills or her parents’
up” in a particular place. (For a more complete efforts)? The effect of growing up in San Jose answers
Figure 8
Place-Specific Mobility in California Compared to Other States
Expected Change in
Annual Adult Earnings
$500 to $2,500
$0 to $500
$0 to -$500
-$500 to -$2,500
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this question. Suppose that she spent ten years of her counties with effects below -$1,000, many counties
childhood in San Jose and that the effect of growing with small positive or negative effects, and several
up in San Jose (instead of a nationally average place) counties with effects above $1,000. Figure 9
is an annual earnings gain of about $30 for each displays the effect of growing up in each county
year the child spends there. In that case, her annual for children born to low-income parents. For
earnings as an adult are $300 higher because she example, assuming a child spends at least ten years
grew up in San Jose—while the remainder of the of childhood there, the map shows low-income
difference is the result of other factors. parents would increase their child’s expected
Place-Specific Mobility Lower in California annual adult earnings by about $700 by moving
Than Rest of Nation. Earlier, we noted that to San Mateo County (relative to moving to the
compared to the nation, Californians’ broad average county nationwide). This map represents a
measure of income mobility (which considers change in annual earnings that ranges from -$1,761
both geographic and non-geographic factors) is to $1,963 per year. Nationwide (among counties
relatively high. By contrast, as shown in Figure 8, that are at least as large as those for which we have
California’s place-specific measure of mobility is data in California) the effects range from -$4,840
low. Low-income parents who move to California to $4,805.
can expect to reduce their
Figure 9
child’s future annual
Place-Specific Mobility in California's Counties
earnings by $407, relative
to moving to an average
place nationally. As above,
Expected Change in
this estimate assumes Annual Adult Earnings
children spend at least ten
$500 to $2,000
years of their childhood
$0 to $500
in California. This
$0 to -$500
number represents the
best statistical “bottom -$500 to -$2,000
line” for the state, but it
No Data
obscures a great deal of
variation across different
parts of California.
Place-Specific
Mobility Varies Widely
Across California’s
Counties. California’s
place-specific mobility
is a statewide average of
the effect of growing up
in each of California’s
counties. This -$407
Note: Estimates are more robust for more populous counties, as discussed in the text of this report.
average reflects several
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Effects Very Likely Vary Within Counties. Measurement Problems in Rural Counties.
There is likely a great deal of variation in place- The place-specific measure of mobility relies on
specific mobility within a county, city, or even a people moving from one county to another. During
neighborhood. For example, two children in San the study period, tens of thousands of people
Francisco can grow up a mile apart but experience moved between California’s populous counties,
dramatically different childhood environments. like Los Angeles, Fresno, and Santa Clara. As a
Ideally, we would like to observe place-specific result, there are relatively robust estimates available
mobility at a smaller geographic level than the for these counties. Fewer people, however, moved
county. However, counties are the smallest level to or between California’s less populated, rural
provided by the researchers’ estimates. In fact, counties like Modoc and Mariposa. As a result, the
for California, these are the most geographically estimates for these counties are less reliable.
detailed estimates available from any source.
WHAT KINDS OF PLACES PRODUCE MORE MOBILITY?
Traits of Places That Produce More Mobility. • Stronger Social Networks. Places that
The fact that different places produce more or less produce greater mobility tend to have
income mobility leads to a natural question: What greater social cohesiveness or stronger
are the features of places that cause these differences? social connections. Although social
This is a very difficult question to answer. As a first networks cannot be observed directly,
step in the process of answering it, the researchers researchers have developed other indicators
examine a list of factors that may be associated with to measure these attributes indirectly
higher rates of place-specific mobility. From this (for example, by measuring membership
list, they identify several common characteristics in community, religious, and other
of places that produce greater mobility. (They study organizations).
these traits at a national level, so some of these
• Higher Share of Middle-Income
findings may apply to California and others may
Households. Places that produce greater
not.) These characteristics include:
mobility tend to have larger shares of
• Lower Rates of Violent Crime. Places that
middle-income households, and they
produce greater mobility tend to have fewer
have smaller income differences between
murders, rapes, robberies, and aggravated
the highest-income and lowest-income
assaults.
households.
• Better Performance on Some School
• Larger Shares of Two-Parent Households.
Metrics. Places that produce greater
Places that produce greater mobility tend
mobility tend to have schools with higher
to have smaller shares of single-parent
student test scores, lower student dropout
households, smaller fractions of divorced
rates, smaller class sizes, and more
adults, and higher fractions of adults that
expenditures per student.
are married.
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Together these factors are a good starting relationships. For example, the fact that places that
point for further investigation, but they do produce more mobility tend to have lower crime
not necessarily reflect direct cause-and-effect rates does not necessarily mean that reducing crime
would lead to greater mobility.
CONCLUSION
Broad Mobility Somewhat Above Average. The mobility also certainly varies within counties, but
broad measure of mobility in California reflects within-county data are not available.
all of the characteristics of California and its Californians’ Higher Mobility Not Due
residents—including geographic factors, parenting to Living in California. California has above
decisions, and Californians’ own characteristics. average broad mobility, but below average
California performs somewhat above the national place-specific mobility. This finding suggests
average on the broad measure of mobility. that Californian children have higher rates of
Place-Specific Mobility Addresses Some income mobility because of their parents’ and
Additional Questions. Following the broad their own characteristics, not because growing
measure of mobility, a natural next question to up in California results in more mobility. This
ask is: To what extent does California’s above- means that, had these Californian children grown
average mobility reflect the effect of growing up in up somewhere else, they likely would have done
California versus the characteristics of people who even better as adults, according to the Chetty and
happen to live in California? The measure of place- Hendren estimates.
specific mobility addresses this question. Policy Relevance of Place-Specific Mobility.
Place-Specific Mobility Generally Lower in By its construction, place-specific mobility
California Than National Average. The place- measures—albeit imperfectly and indirectly—the
specific measure of mobility aims to capture the extent to which some places create opportunities or
extent to which the state produces more (or less) remove barriers for low-income children to attain
income mobility than other places, setting aside higher incomes. This means place-specific mobility
non-geographic factors such as parental influence is a better measure of how effectively the state is
and children’s abilities. As discussed earlier, producing income mobility—either through public
California’s place-specific income mobility for policy or otherwise. As such, it may be of keener
low-income children is below average. Although interest to policymakers.
this is not necessarily an outcome of public policy,
Available Evidence Leaves Some
it does suggest improvement is possible.
Key Questions Unanswered
Some California Counties Have Higher Place-
Specific Mobility Than the National Average. The Relative Measures Alone Do Not Demonstrate
place-specific measure of mobility for the entire Success or Failure. Note that the measure of
state is an average of this measure for each county. place-specific mobility presented here does not
Some counties in California have higher—in some compare California to any absolute, or ideal,
cases much higher—place-specific mobility than standard. Rather, it compares California to the
the national average. Others have lower place- national average. As a result, it can lead to a
specific mobility. As noted earlier, place-specific variety of conclusions, depending on one’s own
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views regarding opportunities and barriers incomes in the 25th percentile. Estimates for other
nationwide. Clearly, those who are dissatisfied parts of the income distribution—which clearly
with opportunities at the national level should are also of interest to policymakers—would yield
also find California’s below-average performance different results. For example, the place-specific
unsatisfactory. For those with a more positive view measure of mobility could be substantially lower
of nationwide opportunities, assessing California is or higher for those born, say, at the 10th percentile
more difficult. For those with this view, California’s or 30th percentile. Such findings could significantly
below-average performance may be unsatisfactory, alter assessments of economic opportunity in
or may be close enough to the average that it is still California.
acceptable. Income Is Just One of Many Outcomes to
Analysis Examines Relative, Not Absolute, Consider. The estimates in this report focus on one
Income Mobility. Relative mobility is the extent to long-term outcome for low-income children: their
which children move up (or down) in the income incomes as adults. However, both policymakers
distribution relative to their parents. Absolute and parents typically are interested not only in
mobility, meanwhile, considers underlying children’s future incomes, but also in other aspects
economic growth that affects standards of living. of well-being, such as health, leisure time, and job
For example, parents and their children may all satisfaction. Parents may move to a different place
be at the 50th percentile, but the children may be to enjoy better weather, to be able to afford a larger
better off if incomes have increased. The analysis house, or to be close to activities and recreational
presented in this report focuses on relative, not opportunities that improve their family’s quality
absolute, income mobility. Estimates of absolute of life. Places that perform well along these other
mobility are not available at a comparable level of dimensions—for example, places that produce
geographic detail. longer life expectancies for low-income children—
Estimates Limited to Specific Part of Income may not be the same as the places that produce
Distribution. The place-specific measure of more income mobility. Consequently, places that
mobility only considers one narrow slice of the produce greater mobility are not necessarily more
income distribution: those born to parents with desirable places to live.
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TECHNICAL APPENDIX
This report presents estimates of a variety of To reduce noise in the estimates, the
measures of intergenerational income mobility, as researchers blend the place-specific measure of
estimated by researchers Raj Chetty and Nathaniel mobility with the broad measure of mobility. In
Hendren. This appendix provides more details about particular, they weight the broad measure more
how these researchers produced the estimates of the heavily when less reliable data are available for
place-specific measures of mobility, as well as some the place-specific measure. This means that, for
strengths and weaknesses of their approach. counties with small populations, the estimates to
a large degree reflect the broad, rather than the
Estimation of the Place-Specific Measure of
place-specific, measure of mobility. This blended
Income Mobility in California
approach creates an arguably more credible
Estimates of the place-specific measure of estimate than either approach alone.
mobility attempt to isolate the effect of growing The researchers also use a variety of other
up in California on a child’s future earnings. In techniques to validate these individual estimates.
principle, the best way to estimate this effect would For example, they compare the outcomes of siblings
be to examine outcomes in two hypothetical worlds: to one another. They also study community-level
one where a set of individuals grew up in California moves triggered by external events, such as a
and another where those same individuals grew natural disaster or the closure of a large plant.
up somewhere else. However, in the real world, Simplified Estimation Example. Suppose the
researchers must estimate these effects using researchers want to measure the difference between
observed data on people in California and elsewhere. the effect of growing up in San Francisco and the
Method of Estimation. At the most basic effect of growing up in Oakland. The researchers
level, Chetty and Hendren estimate the place- compare the outcomes of many children who move
specific measure by comparing outcomes among to San Francisco from Oakland at various ages.
parents who move to a particular place when For example, they compare the adult earnings of
their children are different ages. In our view, this children who move at age 6 and demographically
comparison generates a more credible estimate of similar children who move at age 5. Suppose they
causal relationships than the broad measure alone. find that children who move at age 5 can expect
The researchers assume that parents who move to make about $400 per year more than children
to California are similar, regardless of the age of who move at age 6. The researchers conclude
their children when they move. This assumption is that this $400 difference is the result of spending
reasonable even if different places attract different an additional year in San Francisco rather than
types of people—as long as those differences remain Oakland. (Note that a place that produces greater
constant over the time period studied. Using this mobility is not necessarily more desirable overall.)
assumption, the researchers can measure the effect These Measures Are Not Adjusted for Cost of
of spending a year in a particular place as the Living. Throughout this series, we use estimates
difference between outcomes of demographically of income mobility that have not been adjusted
similar movers who move when their children are a for the cost of living. With a few exceptions, such
year apart. an adjustment does not substantially affect these
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estimates. In general, adjusting for prices in a Focus on Specific Birth Cohorts. Both the
high-priced area like San Francisco reduces both broad and place-specific measures of income
the child’s income rank and the parents’ income mobility reflect data on the adult earnings of
rank. As a result, a child’s rank in the income children born between 1980 and 1991. As a result,
spectrum does not change much relative to the these estimates capture the effect of growing up
parents’ rank. This result holds if the child remains in California in the 1980s and 1990s. However,
in the same city as an adult or moves to a similarly conditions in California have changed and will
high-priced area. As a result, income mobility— continue to change over time. The data do not tell
that is, the difference between the child’s and the us how income mobility has evolved over time or
parent’s rank—is largely unaffected. what the effect of growing up in California is today.
Aggregate Measures Do Not Apply to All
Strengths and Weakness of This Approach
Individual Cases. The aggregate measure of place-
Estimation Issues. The place-specific estimates specific mobility presented in this report does not
of mobility may be misleading if: (1) few people apply to all individual cases. Many people who
move to a given place, limited data are available, move to California will experience outcomes that
making the estimates less reliable; (2) people who are different than these averages.
move to a certain place are different from people Overall Patterns Are Informative. On the
who already live there; or (3) parents who move whole, Chetty and Hendren’s research lends
with young children are different from parents credibility to the idea that the places children grow
who move with older children. If parents are up affects their adult earnings later in life. They
different, then these estimates would not reflect a also indicate that conditions at a local level—and
true cause-and-effect relationship. This is because therefore local and state-level policies—may be
these estimates are generated by comparing parents important determinants of income mobility. As a
who move with children at different ages. If these result, the estimates presented in this report are
parents are dissimilar, then they do not serve as a potentially useful starting point for considering
appropriate comparisons. If parents who move are a wide range of policy issues. However, the
fundamentally different from those who do not, the caveats above should make the reader cautious. In
findings of this study may not be generalizable to particular, the reader should not place too much
those who do not move, because the estimates do confidence in any single estimate of the place-
not incorporate their outcomes directly. specific measure of mobility, particularly for small
and rural counties.
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LAO Publications
This report was prepared by Ann Hollingshead, and reviewed by Seth Kerstein and Jason Sisney. The Legislative Analyst’s
Office (LAO) is a nonpartisan office that provides fiscal and policy information and advice to the Legislature.
To request publications call (916) 445-4656. This report and others, as well as an e-mail subscription service,
are available on the LAO’s website at www.lao.ca.gov. The LAO is located at 925 L Street, Suite 1000,
Sacramento, CA 95814.
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