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Grads and FadsGrads and Fads
The Dynamics ofThe Dynamics of
Human Capital LocationHuman Capital Location
National Meeting
November 5, 2004
Robert Weissbourd, RW Ventures, LLC &
Christopher Berry, University of Chicago
AgendaAgenda
Where We Left Off : The Importance of College EducationWhere We Left Off : The Importance of College Education
Patterns of ChangePatterns of Change
Causes of Change: Economics and Amenities?Causes of Change: Economics and Amenities?
What Moves the Young, Educated?What Moves the Young, Educated?
Building HC EconomiesBuilding HC Economies
Many Factors Matter
Education is a Leading Driver of Prosperity
Many Factors Matter
Education is a Leading Driver of Prosperity
High School Degree
Age 35-44
Business Services
Sprawl Index
Professional Jobs
College Degree
Exports
Immigration (1980s)
Hispanic Segregation
-0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0
Estimated Effect on Income Growth
(Standardized Regression Coefficient: with 95% Confidence Interval)
How to Improve
College Attainment Levels?
How to Improve
College Attainment Levels?
People and Jobs Are IntertwinedPeople and Jobs Are Intertwined
Improving College Attainment LevelsImproving College Attainment Levels
Varied Theories Varied Strategies
THEORY 1: It’s the Jobs Attract Firms
Industry Workers Quality of Life
Improving College Attainment LevelsImproving College Attainment Levels
Varied Theories Varied Strategies
THEORY 2: It’s the Amenities Improve Q of L to Attract BAs
Knowledge WorkersQuality of Life Industry
The Project:
The Dynamics of Human Capital Location
The Project:
The Dynamics of Human Capital Location
Goal: To Understand the Key Drivers of
Increased College Attainment Levels
Project Design
• Using Changing Dynamics Capacity: comprehensive
database and base models for all MSAs;
• Add new datasets, including more quality of life variables,
migration, PUMs data;
• Run econometric models to test the effect of 1990
conditions on college and non-college growth, and on
young and older BA migration from 1990-2000 for all 316
metros;
• Focus on Metropolitan Areas, not Cities.
Clarifying the Question:
What Affects Attainment?
Clarifying the Question:
What Affects Attainment?
+New Graduates (Production)
+ Graduates Moving In (Attraction)
- Graduates Moving Out (Non-Retention)
+ Non-Graduates Moving Out
- Non-Graduates Moving In
Factors Affecting Attainment Growth
AgendaAgenda
Where We Left Off: The Importance of College EducationWhere We Left Off: The Importance of College Education
Patterns of ChangePatterns of Change
Causes of Change: Economics and Amenities?Causes of Change: Economics and Amenities?
What Moves the Young, Educated?What Moves the Young, Educated?
Building HC EconomiesBuilding HC Economies
The American Population is Getting
More Educated at an Astounding Pace
The American Population is Getting
More Educated at an Astounding Pace
100
150
200
250
300
350
GrowthIndex
2003200019971994199119881985198219791976
Year
Population Trends (1975-2003)
Source: CPS and Census Estimates
BAs
Total Adult Population
Number of College Graduates Increased 38% in theNumber of College Graduates Increased 38% in the ’’90s, Representing90s, Representing
7.4 Million New College Graduates in Excess of Population Growth7.4 Million New College Graduates in Excess of Population Growth
… But there is Great Variation… But there is Great Variation
051015
Frequency
0 5 10
Attainment Grow th
Median: 3.7
Meced, CAMeced, CA
Yuma, AZYuma, AZ
Boulder, COBoulder, CO
Contrary to Popular Belief, the College
Educated Are not Generally Segregating
Contrary to Popular Belief, the College
Educated Are not Generally Segregating
…… But There Are Important Variations Between the Two GroupsBut There Are Important Variations Between the Two Groups
0.511.5
PctChangeinBA+Population,1990-2000
0 .2 .4 .6 .8
Pct Change in Non-BA Population 1990-2000
Correlation: 0.73
Las Vegas, NVLas Vegas, NV
Yuma, AZYuma, AZ
Comparative Attainment
Changes Slowly
Comparative Attainment
Changes Slowly
0.2.4.6.8
LogChangeinNumberGrads1990-2000
0 .2 .4 .6 .8
Log Change in Number of Grads 1980-1990
LongLong--Term Strategies NeededTerm Strategies Needed
AgendaAgenda
Where We Left Off: The Importance of College EducationWhere We Left Off: The Importance of College Education
Patterns of ChangePatterns of Change
What Moves the Young, Educated?What Moves the Young, Educated?
Causes of Change: Economics and Amenities?Causes of Change: Economics and Amenities?
Building HC EconomiesBuilding HC Economies
Exploratory Model Results:
Many Factors Matter
Exploratory Model Results:
Many Factors Matter
Effect on College Educated Population
NegativeNullPositive Null Positive
• Amenities index
• MSA has 3 specializations
• Specialized in business services
• Sales occupations
• Forest, farming, fishing occupation
• Handlers and laborers occupation
• Construction
• Business and repair services
• Export Sales as % Total Income
• % adults with BA
• Eating & drinking est. Per Capita
• Amusement and recreational services
• % foreign born
• MSA size
• Cost of living
• Jobs score
• Recreation score
• Gay index
• Specialized in financial services
• % earnings in financial services
• % earnings in information sector
• Technician and related support occ.
• Administrative support occupation
• Precision production occupation
• Wholesale trade
• Personal services
• Commuting time
• Education score
• Bohemian index
• Finance, insurance real estate
• % earnings in distribution
• % earnings in goods prod/dist.
• % adults w/o High School diploma
• % Hispanic
• % age 25-34
• Crime score
• January mean temperature
• July mean temperature
• Art Score
• Movie Theaters per capita
• Health establishments per capita
• Industry Fragmentation
And numerous others…
• Manufacturing (durable & non-durable)
• Transportation
• Communication and utilities
• Retail trade
• Health services
• Other professional services
• Public administration
• % adults w/ High School diploma
• % age 35-44
• Health score
• Unemployment
• % Of adults w/ advanced degree
• % Of adults w/ some college, no degree
• Ethnic diversity
• Hispanic segregation
• Income inequality
• Places rated total score
• Transportation and material moving
occupation
• Mining
• Membership organizations per capita
• Museums
• Sprawl component 1
• Climate score
• Log heating degree days
Negative
EffectonNonCollegeEducatedPopulation
Note: Table represents results of regressions including only regional dummies as controls,
and does not indicate causal effects.
Exploratory Model ResultsExploratory Model Results
EffectonNonCollegeEducatedPopulation Effect on College Educated Population
NegativeNullPositive Negative Null Positive
• Amenities index
• MSA has 3 specializations
• Specialized in business services
• Sales occupations
• Forest, farming, fishing occupation
• Handlers and laborers occupation
• Construction
• Business and repair services
• Export Sales as % Total Income
• % adults with BA
• Eating & drinking est. Per Capita
• Amusement and recreational services
• % foreign born
• MSA size
• Cost of living
• Jobs score
• Recreation score
• Gay index
• Specialized in financial services
• % earnings in financial services
• % earnings in information sector
• Technician and related support occ.
• Administrative support occupation
• Precision production occupation
• Wholesale trade
• Personal services
• Commuting time
• Education score
• Bohemian index
• Finance, insurance real estate
• % earnings in distribution
• % earnings in goods prod/dist.
• % adults w/o High School diploma
• % Hispanic
• % age 25-34
• Crime score
• January mean temperature
• July mean temperature
• Art Score
• Movie Theaters per capita
• Health establishments per capita
• Industry Fragmentation
And numerous others…
• Manufacturing (durable & non-durable)
• Transportation
• Communication and utilities
• Retail trade
• Health services
• Other professional services
• Public administration
• % adults w/ High School diploma
• % age 35-44
• Health score
• Unemployment
• % Of adults w/ advanced degree
• % Of adults w/ some college, no degree
• Ethnic diversity
• Hispanic segregation
• Income inequality
• Places rated total score
• Transportation and material moving
occupation
• Mining
• Membership organizations per capita
• Museums
• Sprawl component 1
• Climate score
• Log heating degree days
•• Specialized in business servicesSpecialized in business services
•• ExportsExports
•• Recreation scoreRecreation score
Exploratory Model ResultsExploratory Model Results
EffectonNonCollegeEducatedPopulation Effect on College Educated Population
NegativeNullPositive Negative Null Positive
• Amenities index
• MSA has 3 specializations
• Specialized in business services
• Sales occupations
• Forest, farming, fishing occupation
• Handlers and laborers occupation
• Construction
• Business and repair services
• Export Sales as % Total Income
• % adults with BA
• Eating & drinking est. Per Capita
• Amusement and recreational services
• % foreign born
• MSA size
• Cost of living
• Jobs score
• Recreation score
• Gay index
• Specialized in financial services
• % earnings in financial services
• % earnings in information sector
• Technician and related support occ.
• Administrative support occupation
• Precision production occupation
• Wholesale trade
• Personal services
• Commuting time
• Education score
• Bohemian index
• Finance, insurance real estate
• % earnings in distribution
• % earnings in goods prod/dist.
• % adults w/o High School diploma
• % Hispanic
• % age 25-34
• Crime score
• January mean temperature
• July mean temperature
• Art Score
• Movie Theaters per capita
• Health establishments per capita
• Industry Fragmentation
And numerous others…
• Manufacturing (durable & non-durable)
• Transportation
• Communication and utilities
• Retail trade
• Health services
• Other professional services
• Public administration
• % adults w/ High School diploma
• % age 35-44
• Health score
• Unemployment
• % Of adults w/ advanced degree
• % Of adults w/ some college, no degree
• Ethnic diversity
• Hispanic segregation
• Income inequality
• Places rated total score
• Transportation and material moving
occupation
• Mining
• Membership organizations per capita
• Museums
• Sprawl component 1
• Climate score
• Log heating degree days
•• Specialized in Financial ServicesSpecialized in Financial Services
•• % Earnings in Information Sector% Earnings in Information Sector
•• Education ScoreEducation Score
It’s the Economy:
The Effect of Unemployment
It’s the Economy:
The Effect of Unemployment
0510
AttainmentGrowth1990-2000
0 .05 .1 .15
Civilian Unemployment Rate, 1990 [2000 Boundary]
College Graduates Move Away from Places without JobsCollege Graduates Move Away from Places without Jobs
It’s the Economy:
The Effect of Income
It’s the Economy:
The Effect of Income
0510
AttainmentGrowth(1990-2000)
5000 10000 15000 20000 25000
Per Capita Income 1990
And Go to Places with High IncomeAnd Go to Places with High Income
It’s the Knowledge Economy:
Knowledge Industries Attract BAs
It’s the Knowledge Economy:
Knowledge Industries Attract BAs
0510
AttainmentGrowth(1990-2000)
0 .05 .1 .15
Share workers in Finance, Insurance, and Real Estate
0510
AttainmentGrowth(1990-2000)
.1 .2 .3 .4 .5
Information Sector as % Total Earnings
Finance, Insurance, and Real EstateFinance, Insurance, and Real Estate Information SectorInformation Sector
0510
AttainmentGrowth(1990-2000)
.02 .03 .04 .05 .06 .07
% Employed In Business and Repair Services
0510
AttainmentGrowth(1990-2000)
0 .05 .1 .15 .2 .25
% Employment In Manufacturing
ManufacturingManufacturingBusiness ServicesBusiness Services
It’s the Knowledge Economy:
High Human Capital Occupations Attract BAs
It’s the Knowledge Economy:
High Human Capital Occupations Attract BAs
-0.01 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80
Exec, admin, and
managerial
Professional Specialty
Transportation and
Material Moving*
Handlers and Laborers*
Standardized Regression Coefficients: 1990 Occupation and 1990-2000 Attainment Growth
Regression includes unemployment, wages, amenity index, and regional dummies as controls.
* Not Statistically Significant
What About Amenities?What About Amenities?
• Amenities (broadly defined) have a significant
effect on changes in educational attainment
• Amenities include a broad range of characteristics,
from highways to coffee bars
• Amenities include things we can change, such as
parks, and things we can’t change, such as
weather
• Many consumption amenities (i.e. quality of life
factors) commonly perceived as important do not
matter, or matter less than people think
• Amenities (broadly defined) have a significant
effect on changes in educational attainment
• Amenities include a broad range of characteristics,
from highways to coffee bars
• Amenities include things we can change, such as
parks, and things we can’t change, such as
weather
• Many consumption amenities (i.e. quality of life
factors) commonly perceived as important do not
matter, or matter less than people think
It’s Not Cultural AmenitiesIt’s Not Cultural Amenities
Factor
College
Graduates
Non College
Graduates
Movie Theaters 0 0
Art Score 0 0
Gay Index 0 0
Bars and
Restaurants + +
Weather + ++
The table reports the results of regression models
including unemployment, wages, amenity index, and regional dummies as controls.
Quality of Life does Not Matter
as Much as Economic Factors
Quality of Life does Not Matter
as Much as Economic Factors
-0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3
Bars and
Restaurants*
FIREIndustry
Unemployment
Standardized Regression Coefficients: 1990 Factors and 1990-2000 Attainment Growth
Regressions Include unemployment, wages, amenity index, and regional dummies as controls
* Not Statistically Significant
Good Weather and Night Life are Not NearlyGood Weather and Night Life are Not Nearly
as Important to College Graduates as Employmentas Important to College Graduates as Employment
AgendaAgenda
Where We Left Off: The Importance of College EducationWhere We Left Off: The Importance of College Education
Patterns of ChangePatterns of Change
Causes of Change: Economics and Amenities?Causes of Change: Economics and Amenities?
What Moves the Young, Educated?What Moves the Young, Educated?
Building HC EconomiesBuilding HC Economies
Why the Young?Why the Young?Why the Young?
Percent Movers 25 to 39Percent Movers 25 to 39
by Education and Marital Statusby Education and Marital StatusPercent Movers by Age GroupPercent Movers by Age Group
5 to 14 15 to 24 25 to 39 40 to 64 Over 65
0
10
20 30
20
10
0
Single,
College
Married,
College
Single, No
College
Married, No
College
Source: Census Bureau Special Report, Movers from Out of State OSource: Census Bureau Special Report, Movers from Out of State Onlynly
Younger Age Groups Are More Mobile, and BAs Move More than NonYounger Age Groups Are More Mobile, and BAs Move More than Non--BAsBAs
Migration Patterns Vary Little by AgeMigration Patterns Vary Little by Age
-600-400-2000200400
YoungSingleCollegeGrads
-400 -200 0 200 400
All Other College Grads
San Luis Obispo, CASan Luis Obispo, CA
Punta Gorda, FLPunta Gorda, FL
Fort Meyers, FLFort Meyers, FL
Naples, FLNaples, FL
Las Vegas, NVLas Vegas, NV
Charlotte, NCCharlotte, NC
Atlanta, GAAtlanta, GA
Anchorage, AKAnchorage, AK
Povo, UTPovo, UT
Bryan, TXBryan, TX
Both Groups Have Similar Migration PatternsBoth Groups Have Similar Migration Patterns
Age Effects Don’t Matter MuchAge Effects Don’t Matter Much
General pattern is similarity, not difference, in
migration models of young, single graduates
relative to other grads.
•College town effects are especially strong for young
grads
•Young grads migrate to larger MSAs
•Young grads migrate more to MSAs with high
attainment
•Young grads are more likely to move to or stay in
MSAs with non-white population
•Young grads are more likely to leave MSAs with
manufacturing/production jobs
General pattern is similarity, not difference, inGeneral pattern is similarity, not difference, in
migration models of young, single graduatesmigration models of young, single graduates
relative to other grads.relative to other grads.
•College town effects are especially strong for young
grads
•Young grads migrate to larger MSAs
•Young grads migrate more to MSAs with high
attainment
•Young grads are more likely to move to or stay in
MSAs with non-white population
•Young grads are more likely to leave MSAs with
manufacturing/production jobs
AgendaAgenda
Where We Left Off: The Importance of College EducationWhere We Left Off: The Importance of College Education
Patterns of ChangePatterns of Change
Causes of Change: Economics and Amenities?Causes of Change: Economics and Amenities?
What Moves the Young, Educated?What Moves the Young, Educated?
Building HC EconomiesBuilding HC Economies
Education Must Be Deployed To
Increase Productivity
Education Must Be Deployed To
Increase Productivity
Education Alone is not EnoughEducation Alone is not Enough
Wage Growth
0 0.1 0.2 0.3 0.4 0.5
Santa Fe, NM
Lawrence, KS
San Francisco, CA 37%
6%
7%
% Earnings in Government
College Enrollment as % Total Population
% BA or Higher 1990
What People Do Is as Important as What They KnowWhat People Do Is as Important as What They Know
The Economics of Human CapitalThe Economics of Human Capital
• Education matters only as a component of Human
Capital -- the level of skill and expertise embedded
in the labor force
• Human Capital is more important to productivity
than ever in the knowledge economy
• Human Capital is more productive when
concentrated, such as in cities, and in knowledge
occupations or functions
• Both workers and firms are attracted by pools of
human capital deployed in knowledge job
networks and economic functions
• Education matters only as a component of Human
Capital -- the level of skill and expertise embedded
in the labor force
• Human Capital is more important to productivity
than ever in the knowledge economy
• Human Capital is more productive when
concentrated, such as in cities, and in knowledge
occupations or functions
• Both workers and firms are attracted by pools of
human capital deployed in knowledge job
networks and economic functions
It’s not the Chicken or the Egg –
It’s the Incubator
It’s not the Chicken or the Egg –
It’s the Incubator
IT’S ABOUT PRODUCTIVITY
Knowledge Workers Active Human Capital Industry
High HC
Occupations
Productive
Industries
Knowledge
Functions
To Attract Knowledge Workers, Build anTo Attract Knowledge Workers, Build an
Economy Characterized by HighEconomy Characterized by High--Human CapitalHuman Capital
Occupations and FunctionsOccupations and Functions
Policy ImplicationsPolicy Implications
1.1. Take Care of the BasicsTake Care of the Basics
• Increase Human Capital through Education
and Training
• Support Innovation
• Invest in Knowledge Institutions
2.2. Target Local OpportunitiesTarget Local Opportunities
• Identify Existing Occupational, Functional Concentrations or
Opportunities
• Target High Human Capital Sectors and Occupations that are likely
to Grow and Offer Cross-fertilization Opportunities
3.3. Build a HumanBuild a Human--Capital Intensive EconomyCapital Intensive Economy
• Support Business Formation in Key Sectors and Functions
• Create Rich Networks of People and Jobs
• Invest in Amenities and Quality of Life to Complement Your
Strategy, not to Supplant It
Examples of Programs to Strengthen
Human Capital Intensive Economy
Examples of Programs to Strengthen
Human Capital Intensive Economy
(1) Support business formation in key sectors and functions:
Innovation and Commercialization of Knowledge: technical assistance programs,
cooperative R&D centers, technology transfer.
Entrepreneurship: entrepreneurship education in schools and universities,
business incubators, efficient regulatory and licensing process.
Targeted Access to Capital: ensure appropriate types of capital to support
stages of targeted business development (seed money, venture capital,
mezzanine financing, SBA loans).
(2) Create Rich Networks of People and Jobs:
Industry Research Centers: support university-industry partnerships (e.g.
Research Triangle Park); invest in industry innovation initiatives (e.g. Innovation
@ Scale project in RI; Bay Area Science and Innovation Consortium)
Professional Organizations: support and strengthen already existing networks;
create “knowledge hubs” to share learning and best practices.
Job Market Connections: Set up targeted internship programs, aimed particularly
at students in fields that city seeks to strengthen (e.g. KIP in Philadelphia,
Summer of the Cuyahoga program in Cleveland).
(1) Support business formation in key sectors and functions:
Innovation and Commercialization of Knowledge: technical assistance programs,
cooperative R&D centers, technology transfer.
Entrepreneurship: entrepreneurship education in schools and universities,
business incubators, efficient regulatory and licensing process.
Targeted Access to Capital: ensure appropriate types of capital to support
stages of targeted business development (seed money, venture capital,
mezzanine financing, SBA loans).
(2) Create Rich Networks of People and Jobs:
Industry Research Centers: support university-industry partnerships (e.g.
Research Triangle Park); invest in industry innovation initiatives (e.g. Innovation
@ Scale project in RI; Bay Area Science and Innovation Consortium)
Professional Organizations: support and strengthen already existing networks;
create “knowledge hubs” to share learning and best practices.
Job Market Connections: Set up targeted internship programs, aimed particularly
at students in fields that city seeks to strengthen (e.g. KIP in Philadelphia,
Summer of the Cuyahoga program in Cleveland).
Practical First Steps:
Do You Have Knowlege Industries?
Practical First Steps:
Do You Have Knowlege Industries?
.1.2.3.4.5
PctAdultswithBAorHigher(2000)
.1 .2 .3 .4 .5
Predicted Values Based on Industry Composition
Indianapolis, INIndianapolis, IN
Milwaukee, WIMilwaukee, WI
Richmond, VARichmond, VA
Chicago, ILChicago, IL
Columbus, OHColumbus, OH
Providence, RIProvidence, RI
San Antonio, TXSan Antonio, TX
Toledo, OHToledo, OH
Industrial Composition Predicts AttainmentIndustrial Composition Predicts Attainment
It’s Not Just Where You WorkIt’s Not Just Where You Work
-.1-.050.05.1
Residuals
.1 .2 .3 .4 .5
Predicted Values Based on Industry Composition
Indianapolis, INIndianapolis, IN
Milwaukee, WIMilwaukee, WI
Richmond, VARichmond, VA
Chicago, ILChicago, IL
Columbus, OHColumbus, OH
Providence, RIProvidence, RI
San Antonio, TXSan Antonio, TX
Toledo, OHToledo, OH
San Jose, CASan Jose, CA
Over or Under Performance Compared to PredictedOver or Under Performance Compared to Predicted
… It’s What You Do… It’s What You Do
0%
5%
10%
15%
20%
25%
30%
Information Professional and
Scientific Services
San Jose - Industries
San Jose National Average
0%
5%
10%
15%
20%
25%
30%
Management Professional Computer and
Mathematical
San Jose - Occupations
San Jose National Average
Example: Kansas CityExample: Kansas City
Functions
• Business Services
• Headquarters
• Conventions and business organizations
• Market research and advertising
Industries
• Administrative and Support Services
• Management, Technical, and Scientific
Services
• Professional Services
Occupations
• Accountants, Analysts, HR Professionals
• Computer, Engineering and Mathematical
• Management
• Office and Administrative Support
Take-AwaysTake-Aways
• “It’s the Economy, Stupid”
• It’s the Knowledge Economy
• Amenities Matter at the Margin
• Find the Nexus of Knowledge
Industries, Functions, and Occupations
•• ““ItIt’’s the Economy, Stupids the Economy, Stupid””
•• ItIt’’s thes the KnowledgeKnowledge EconomyEconomy
•• Amenities Matter at the MarginAmenities Matter at the Margin
•• Find the Nexus of KnowledgeFind the Nexus of Knowledge
Industries, Functions, and OccupationsIndustries, Functions, and Occupations
ItIt’’s not the Chicken or the Egg:s not the Chicken or the Egg:
ItIt’’s a Human Capitals a Human Capital--Based Economic StrategyBased Economic Strategy
Grads and FadsGrads and Fads
The Dynamics ofThe Dynamics of
Human Capital LocationHuman Capital Location
DISCUSSION
by: Robert Weissbourd, RW Ventures &
Christopher Berry, Harvard University

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Grads and Fads

  • 1. Grads and FadsGrads and Fads The Dynamics ofThe Dynamics of Human Capital LocationHuman Capital Location National Meeting November 5, 2004 Robert Weissbourd, RW Ventures, LLC & Christopher Berry, University of Chicago
  • 2. AgendaAgenda Where We Left Off : The Importance of College EducationWhere We Left Off : The Importance of College Education Patterns of ChangePatterns of Change Causes of Change: Economics and Amenities?Causes of Change: Economics and Amenities? What Moves the Young, Educated?What Moves the Young, Educated? Building HC EconomiesBuilding HC Economies
  • 3. Many Factors Matter Education is a Leading Driver of Prosperity Many Factors Matter Education is a Leading Driver of Prosperity High School Degree Age 35-44 Business Services Sprawl Index Professional Jobs College Degree Exports Immigration (1980s) Hispanic Segregation -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 Estimated Effect on Income Growth (Standardized Regression Coefficient: with 95% Confidence Interval)
  • 4. How to Improve College Attainment Levels? How to Improve College Attainment Levels? People and Jobs Are IntertwinedPeople and Jobs Are Intertwined
  • 5. Improving College Attainment LevelsImproving College Attainment Levels Varied Theories Varied Strategies THEORY 1: It’s the Jobs Attract Firms Industry Workers Quality of Life
  • 6. Improving College Attainment LevelsImproving College Attainment Levels Varied Theories Varied Strategies THEORY 2: It’s the Amenities Improve Q of L to Attract BAs Knowledge WorkersQuality of Life Industry
  • 7. The Project: The Dynamics of Human Capital Location The Project: The Dynamics of Human Capital Location Goal: To Understand the Key Drivers of Increased College Attainment Levels Project Design • Using Changing Dynamics Capacity: comprehensive database and base models for all MSAs; • Add new datasets, including more quality of life variables, migration, PUMs data; • Run econometric models to test the effect of 1990 conditions on college and non-college growth, and on young and older BA migration from 1990-2000 for all 316 metros; • Focus on Metropolitan Areas, not Cities.
  • 8. Clarifying the Question: What Affects Attainment? Clarifying the Question: What Affects Attainment? +New Graduates (Production) + Graduates Moving In (Attraction) - Graduates Moving Out (Non-Retention) + Non-Graduates Moving Out - Non-Graduates Moving In Factors Affecting Attainment Growth
  • 9. AgendaAgenda Where We Left Off: The Importance of College EducationWhere We Left Off: The Importance of College Education Patterns of ChangePatterns of Change Causes of Change: Economics and Amenities?Causes of Change: Economics and Amenities? What Moves the Young, Educated?What Moves the Young, Educated? Building HC EconomiesBuilding HC Economies
  • 10. The American Population is Getting More Educated at an Astounding Pace The American Population is Getting More Educated at an Astounding Pace 100 150 200 250 300 350 GrowthIndex 2003200019971994199119881985198219791976 Year Population Trends (1975-2003) Source: CPS and Census Estimates BAs Total Adult Population Number of College Graduates Increased 38% in theNumber of College Graduates Increased 38% in the ’’90s, Representing90s, Representing 7.4 Million New College Graduates in Excess of Population Growth7.4 Million New College Graduates in Excess of Population Growth
  • 11. … But there is Great Variation… But there is Great Variation 051015 Frequency 0 5 10 Attainment Grow th Median: 3.7 Meced, CAMeced, CA Yuma, AZYuma, AZ Boulder, COBoulder, CO
  • 12. Contrary to Popular Belief, the College Educated Are not Generally Segregating Contrary to Popular Belief, the College Educated Are not Generally Segregating …… But There Are Important Variations Between the Two GroupsBut There Are Important Variations Between the Two Groups 0.511.5 PctChangeinBA+Population,1990-2000 0 .2 .4 .6 .8 Pct Change in Non-BA Population 1990-2000 Correlation: 0.73 Las Vegas, NVLas Vegas, NV Yuma, AZYuma, AZ
  • 13. Comparative Attainment Changes Slowly Comparative Attainment Changes Slowly 0.2.4.6.8 LogChangeinNumberGrads1990-2000 0 .2 .4 .6 .8 Log Change in Number of Grads 1980-1990 LongLong--Term Strategies NeededTerm Strategies Needed
  • 14. AgendaAgenda Where We Left Off: The Importance of College EducationWhere We Left Off: The Importance of College Education Patterns of ChangePatterns of Change What Moves the Young, Educated?What Moves the Young, Educated? Causes of Change: Economics and Amenities?Causes of Change: Economics and Amenities? Building HC EconomiesBuilding HC Economies
  • 15. Exploratory Model Results: Many Factors Matter Exploratory Model Results: Many Factors Matter Effect on College Educated Population NegativeNullPositive Null Positive • Amenities index • MSA has 3 specializations • Specialized in business services • Sales occupations • Forest, farming, fishing occupation • Handlers and laborers occupation • Construction • Business and repair services • Export Sales as % Total Income • % adults with BA • Eating & drinking est. Per Capita • Amusement and recreational services • % foreign born • MSA size • Cost of living • Jobs score • Recreation score • Gay index • Specialized in financial services • % earnings in financial services • % earnings in information sector • Technician and related support occ. • Administrative support occupation • Precision production occupation • Wholesale trade • Personal services • Commuting time • Education score • Bohemian index • Finance, insurance real estate • % earnings in distribution • % earnings in goods prod/dist. • % adults w/o High School diploma • % Hispanic • % age 25-34 • Crime score • January mean temperature • July mean temperature • Art Score • Movie Theaters per capita • Health establishments per capita • Industry Fragmentation And numerous others… • Manufacturing (durable & non-durable) • Transportation • Communication and utilities • Retail trade • Health services • Other professional services • Public administration • % adults w/ High School diploma • % age 35-44 • Health score • Unemployment • % Of adults w/ advanced degree • % Of adults w/ some college, no degree • Ethnic diversity • Hispanic segregation • Income inequality • Places rated total score • Transportation and material moving occupation • Mining • Membership organizations per capita • Museums • Sprawl component 1 • Climate score • Log heating degree days Negative EffectonNonCollegeEducatedPopulation Note: Table represents results of regressions including only regional dummies as controls, and does not indicate causal effects.
  • 16. Exploratory Model ResultsExploratory Model Results EffectonNonCollegeEducatedPopulation Effect on College Educated Population NegativeNullPositive Negative Null Positive • Amenities index • MSA has 3 specializations • Specialized in business services • Sales occupations • Forest, farming, fishing occupation • Handlers and laborers occupation • Construction • Business and repair services • Export Sales as % Total Income • % adults with BA • Eating & drinking est. Per Capita • Amusement and recreational services • % foreign born • MSA size • Cost of living • Jobs score • Recreation score • Gay index • Specialized in financial services • % earnings in financial services • % earnings in information sector • Technician and related support occ. • Administrative support occupation • Precision production occupation • Wholesale trade • Personal services • Commuting time • Education score • Bohemian index • Finance, insurance real estate • % earnings in distribution • % earnings in goods prod/dist. • % adults w/o High School diploma • % Hispanic • % age 25-34 • Crime score • January mean temperature • July mean temperature • Art Score • Movie Theaters per capita • Health establishments per capita • Industry Fragmentation And numerous others… • Manufacturing (durable & non-durable) • Transportation • Communication and utilities • Retail trade • Health services • Other professional services • Public administration • % adults w/ High School diploma • % age 35-44 • Health score • Unemployment • % Of adults w/ advanced degree • % Of adults w/ some college, no degree • Ethnic diversity • Hispanic segregation • Income inequality • Places rated total score • Transportation and material moving occupation • Mining • Membership organizations per capita • Museums • Sprawl component 1 • Climate score • Log heating degree days •• Specialized in business servicesSpecialized in business services •• ExportsExports •• Recreation scoreRecreation score
  • 17. Exploratory Model ResultsExploratory Model Results EffectonNonCollegeEducatedPopulation Effect on College Educated Population NegativeNullPositive Negative Null Positive • Amenities index • MSA has 3 specializations • Specialized in business services • Sales occupations • Forest, farming, fishing occupation • Handlers and laborers occupation • Construction • Business and repair services • Export Sales as % Total Income • % adults with BA • Eating & drinking est. Per Capita • Amusement and recreational services • % foreign born • MSA size • Cost of living • Jobs score • Recreation score • Gay index • Specialized in financial services • % earnings in financial services • % earnings in information sector • Technician and related support occ. • Administrative support occupation • Precision production occupation • Wholesale trade • Personal services • Commuting time • Education score • Bohemian index • Finance, insurance real estate • % earnings in distribution • % earnings in goods prod/dist. • % adults w/o High School diploma • % Hispanic • % age 25-34 • Crime score • January mean temperature • July mean temperature • Art Score • Movie Theaters per capita • Health establishments per capita • Industry Fragmentation And numerous others… • Manufacturing (durable & non-durable) • Transportation • Communication and utilities • Retail trade • Health services • Other professional services • Public administration • % adults w/ High School diploma • % age 35-44 • Health score • Unemployment • % Of adults w/ advanced degree • % Of adults w/ some college, no degree • Ethnic diversity • Hispanic segregation • Income inequality • Places rated total score • Transportation and material moving occupation • Mining • Membership organizations per capita • Museums • Sprawl component 1 • Climate score • Log heating degree days •• Specialized in Financial ServicesSpecialized in Financial Services •• % Earnings in Information Sector% Earnings in Information Sector •• Education ScoreEducation Score
  • 18. It’s the Economy: The Effect of Unemployment It’s the Economy: The Effect of Unemployment 0510 AttainmentGrowth1990-2000 0 .05 .1 .15 Civilian Unemployment Rate, 1990 [2000 Boundary] College Graduates Move Away from Places without JobsCollege Graduates Move Away from Places without Jobs
  • 19. It’s the Economy: The Effect of Income It’s the Economy: The Effect of Income 0510 AttainmentGrowth(1990-2000) 5000 10000 15000 20000 25000 Per Capita Income 1990 And Go to Places with High IncomeAnd Go to Places with High Income
  • 20. It’s the Knowledge Economy: Knowledge Industries Attract BAs It’s the Knowledge Economy: Knowledge Industries Attract BAs 0510 AttainmentGrowth(1990-2000) 0 .05 .1 .15 Share workers in Finance, Insurance, and Real Estate 0510 AttainmentGrowth(1990-2000) .1 .2 .3 .4 .5 Information Sector as % Total Earnings Finance, Insurance, and Real EstateFinance, Insurance, and Real Estate Information SectorInformation Sector 0510 AttainmentGrowth(1990-2000) .02 .03 .04 .05 .06 .07 % Employed In Business and Repair Services 0510 AttainmentGrowth(1990-2000) 0 .05 .1 .15 .2 .25 % Employment In Manufacturing ManufacturingManufacturingBusiness ServicesBusiness Services
  • 21. It’s the Knowledge Economy: High Human Capital Occupations Attract BAs It’s the Knowledge Economy: High Human Capital Occupations Attract BAs -0.01 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 Exec, admin, and managerial Professional Specialty Transportation and Material Moving* Handlers and Laborers* Standardized Regression Coefficients: 1990 Occupation and 1990-2000 Attainment Growth Regression includes unemployment, wages, amenity index, and regional dummies as controls. * Not Statistically Significant
  • 22. What About Amenities?What About Amenities? • Amenities (broadly defined) have a significant effect on changes in educational attainment • Amenities include a broad range of characteristics, from highways to coffee bars • Amenities include things we can change, such as parks, and things we can’t change, such as weather • Many consumption amenities (i.e. quality of life factors) commonly perceived as important do not matter, or matter less than people think • Amenities (broadly defined) have a significant effect on changes in educational attainment • Amenities include a broad range of characteristics, from highways to coffee bars • Amenities include things we can change, such as parks, and things we can’t change, such as weather • Many consumption amenities (i.e. quality of life factors) commonly perceived as important do not matter, or matter less than people think
  • 23. It’s Not Cultural AmenitiesIt’s Not Cultural Amenities Factor College Graduates Non College Graduates Movie Theaters 0 0 Art Score 0 0 Gay Index 0 0 Bars and Restaurants + + Weather + ++ The table reports the results of regression models including unemployment, wages, amenity index, and regional dummies as controls.
  • 24. Quality of Life does Not Matter as Much as Economic Factors Quality of Life does Not Matter as Much as Economic Factors -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 Bars and Restaurants* FIREIndustry Unemployment Standardized Regression Coefficients: 1990 Factors and 1990-2000 Attainment Growth Regressions Include unemployment, wages, amenity index, and regional dummies as controls * Not Statistically Significant Good Weather and Night Life are Not NearlyGood Weather and Night Life are Not Nearly as Important to College Graduates as Employmentas Important to College Graduates as Employment
  • 25. AgendaAgenda Where We Left Off: The Importance of College EducationWhere We Left Off: The Importance of College Education Patterns of ChangePatterns of Change Causes of Change: Economics and Amenities?Causes of Change: Economics and Amenities? What Moves the Young, Educated?What Moves the Young, Educated? Building HC EconomiesBuilding HC Economies
  • 26. Why the Young?Why the Young?Why the Young? Percent Movers 25 to 39Percent Movers 25 to 39 by Education and Marital Statusby Education and Marital StatusPercent Movers by Age GroupPercent Movers by Age Group 5 to 14 15 to 24 25 to 39 40 to 64 Over 65 0 10 20 30 20 10 0 Single, College Married, College Single, No College Married, No College Source: Census Bureau Special Report, Movers from Out of State OSource: Census Bureau Special Report, Movers from Out of State Onlynly Younger Age Groups Are More Mobile, and BAs Move More than NonYounger Age Groups Are More Mobile, and BAs Move More than Non--BAsBAs
  • 27. Migration Patterns Vary Little by AgeMigration Patterns Vary Little by Age -600-400-2000200400 YoungSingleCollegeGrads -400 -200 0 200 400 All Other College Grads San Luis Obispo, CASan Luis Obispo, CA Punta Gorda, FLPunta Gorda, FL Fort Meyers, FLFort Meyers, FL Naples, FLNaples, FL Las Vegas, NVLas Vegas, NV Charlotte, NCCharlotte, NC Atlanta, GAAtlanta, GA Anchorage, AKAnchorage, AK Povo, UTPovo, UT Bryan, TXBryan, TX Both Groups Have Similar Migration PatternsBoth Groups Have Similar Migration Patterns
  • 28. Age Effects Don’t Matter MuchAge Effects Don’t Matter Much General pattern is similarity, not difference, in migration models of young, single graduates relative to other grads. •College town effects are especially strong for young grads •Young grads migrate to larger MSAs •Young grads migrate more to MSAs with high attainment •Young grads are more likely to move to or stay in MSAs with non-white population •Young grads are more likely to leave MSAs with manufacturing/production jobs General pattern is similarity, not difference, inGeneral pattern is similarity, not difference, in migration models of young, single graduatesmigration models of young, single graduates relative to other grads.relative to other grads. •College town effects are especially strong for young grads •Young grads migrate to larger MSAs •Young grads migrate more to MSAs with high attainment •Young grads are more likely to move to or stay in MSAs with non-white population •Young grads are more likely to leave MSAs with manufacturing/production jobs
  • 29. AgendaAgenda Where We Left Off: The Importance of College EducationWhere We Left Off: The Importance of College Education Patterns of ChangePatterns of Change Causes of Change: Economics and Amenities?Causes of Change: Economics and Amenities? What Moves the Young, Educated?What Moves the Young, Educated? Building HC EconomiesBuilding HC Economies
  • 30. Education Must Be Deployed To Increase Productivity Education Must Be Deployed To Increase Productivity
  • 31. Education Alone is not EnoughEducation Alone is not Enough Wage Growth 0 0.1 0.2 0.3 0.4 0.5 Santa Fe, NM Lawrence, KS San Francisco, CA 37% 6% 7% % Earnings in Government College Enrollment as % Total Population % BA or Higher 1990 What People Do Is as Important as What They KnowWhat People Do Is as Important as What They Know
  • 32. The Economics of Human CapitalThe Economics of Human Capital • Education matters only as a component of Human Capital -- the level of skill and expertise embedded in the labor force • Human Capital is more important to productivity than ever in the knowledge economy • Human Capital is more productive when concentrated, such as in cities, and in knowledge occupations or functions • Both workers and firms are attracted by pools of human capital deployed in knowledge job networks and economic functions • Education matters only as a component of Human Capital -- the level of skill and expertise embedded in the labor force • Human Capital is more important to productivity than ever in the knowledge economy • Human Capital is more productive when concentrated, such as in cities, and in knowledge occupations or functions • Both workers and firms are attracted by pools of human capital deployed in knowledge job networks and economic functions
  • 33. It’s not the Chicken or the Egg – It’s the Incubator It’s not the Chicken or the Egg – It’s the Incubator IT’S ABOUT PRODUCTIVITY Knowledge Workers Active Human Capital Industry High HC Occupations Productive Industries Knowledge Functions To Attract Knowledge Workers, Build anTo Attract Knowledge Workers, Build an Economy Characterized by HighEconomy Characterized by High--Human CapitalHuman Capital Occupations and FunctionsOccupations and Functions
  • 34. Policy ImplicationsPolicy Implications 1.1. Take Care of the BasicsTake Care of the Basics • Increase Human Capital through Education and Training • Support Innovation • Invest in Knowledge Institutions 2.2. Target Local OpportunitiesTarget Local Opportunities • Identify Existing Occupational, Functional Concentrations or Opportunities • Target High Human Capital Sectors and Occupations that are likely to Grow and Offer Cross-fertilization Opportunities 3.3. Build a HumanBuild a Human--Capital Intensive EconomyCapital Intensive Economy • Support Business Formation in Key Sectors and Functions • Create Rich Networks of People and Jobs • Invest in Amenities and Quality of Life to Complement Your Strategy, not to Supplant It
  • 35. Examples of Programs to Strengthen Human Capital Intensive Economy Examples of Programs to Strengthen Human Capital Intensive Economy (1) Support business formation in key sectors and functions: Innovation and Commercialization of Knowledge: technical assistance programs, cooperative R&D centers, technology transfer. Entrepreneurship: entrepreneurship education in schools and universities, business incubators, efficient regulatory and licensing process. Targeted Access to Capital: ensure appropriate types of capital to support stages of targeted business development (seed money, venture capital, mezzanine financing, SBA loans). (2) Create Rich Networks of People and Jobs: Industry Research Centers: support university-industry partnerships (e.g. Research Triangle Park); invest in industry innovation initiatives (e.g. Innovation @ Scale project in RI; Bay Area Science and Innovation Consortium) Professional Organizations: support and strengthen already existing networks; create “knowledge hubs” to share learning and best practices. Job Market Connections: Set up targeted internship programs, aimed particularly at students in fields that city seeks to strengthen (e.g. KIP in Philadelphia, Summer of the Cuyahoga program in Cleveland). (1) Support business formation in key sectors and functions: Innovation and Commercialization of Knowledge: technical assistance programs, cooperative R&D centers, technology transfer. Entrepreneurship: entrepreneurship education in schools and universities, business incubators, efficient regulatory and licensing process. Targeted Access to Capital: ensure appropriate types of capital to support stages of targeted business development (seed money, venture capital, mezzanine financing, SBA loans). (2) Create Rich Networks of People and Jobs: Industry Research Centers: support university-industry partnerships (e.g. Research Triangle Park); invest in industry innovation initiatives (e.g. Innovation @ Scale project in RI; Bay Area Science and Innovation Consortium) Professional Organizations: support and strengthen already existing networks; create “knowledge hubs” to share learning and best practices. Job Market Connections: Set up targeted internship programs, aimed particularly at students in fields that city seeks to strengthen (e.g. KIP in Philadelphia, Summer of the Cuyahoga program in Cleveland).
  • 36. Practical First Steps: Do You Have Knowlege Industries? Practical First Steps: Do You Have Knowlege Industries? .1.2.3.4.5 PctAdultswithBAorHigher(2000) .1 .2 .3 .4 .5 Predicted Values Based on Industry Composition Indianapolis, INIndianapolis, IN Milwaukee, WIMilwaukee, WI Richmond, VARichmond, VA Chicago, ILChicago, IL Columbus, OHColumbus, OH Providence, RIProvidence, RI San Antonio, TXSan Antonio, TX Toledo, OHToledo, OH Industrial Composition Predicts AttainmentIndustrial Composition Predicts Attainment
  • 37. It’s Not Just Where You WorkIt’s Not Just Where You Work -.1-.050.05.1 Residuals .1 .2 .3 .4 .5 Predicted Values Based on Industry Composition Indianapolis, INIndianapolis, IN Milwaukee, WIMilwaukee, WI Richmond, VARichmond, VA Chicago, ILChicago, IL Columbus, OHColumbus, OH Providence, RIProvidence, RI San Antonio, TXSan Antonio, TX Toledo, OHToledo, OH San Jose, CASan Jose, CA Over or Under Performance Compared to PredictedOver or Under Performance Compared to Predicted
  • 38. … It’s What You Do… It’s What You Do 0% 5% 10% 15% 20% 25% 30% Information Professional and Scientific Services San Jose - Industries San Jose National Average 0% 5% 10% 15% 20% 25% 30% Management Professional Computer and Mathematical San Jose - Occupations San Jose National Average
  • 39. Example: Kansas CityExample: Kansas City Functions • Business Services • Headquarters • Conventions and business organizations • Market research and advertising Industries • Administrative and Support Services • Management, Technical, and Scientific Services • Professional Services Occupations • Accountants, Analysts, HR Professionals • Computer, Engineering and Mathematical • Management • Office and Administrative Support
  • 40. Take-AwaysTake-Aways • “It’s the Economy, Stupid” • It’s the Knowledge Economy • Amenities Matter at the Margin • Find the Nexus of Knowledge Industries, Functions, and Occupations •• ““ItIt’’s the Economy, Stupids the Economy, Stupid”” •• ItIt’’s thes the KnowledgeKnowledge EconomyEconomy •• Amenities Matter at the MarginAmenities Matter at the Margin •• Find the Nexus of KnowledgeFind the Nexus of Knowledge Industries, Functions, and OccupationsIndustries, Functions, and Occupations ItIt’’s not the Chicken or the Egg:s not the Chicken or the Egg: ItIt’’s a Human Capitals a Human Capital--Based Economic StrategyBased Economic Strategy
  • 41. Grads and FadsGrads and Fads The Dynamics ofThe Dynamics of Human Capital LocationHuman Capital Location DISCUSSION by: Robert Weissbourd, RW Ventures & Christopher Berry, Harvard University