Globalization with Labor: Is the Future Robots or Rosalie Lant Pritchett March 6, 2008 Brown University.

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Transcript Globalization with Labor: Is the Future Robots or Rosalie Lant Pritchett March 6, 2008 Brown University.

Globalization with Labor:
Is the Future Robots or Rosalie
Lant Pritchett
March 6, 2008
Brown University
Are the nurses of the future Robots or
Rosalie?
Five Points




Gaps in income/wages across
nation-states are much larger than
ever in history
The current globalization is
qualitatively different a
“proliferation of sovereigns” and
“everything but labor”
EBL globalization will not reduce
(all) inequalities
It is labor versus capital for the
future
Currently we have historically
massive gaps in income per capita
and wages
Steady growth of the economic leaders have left the follower
countries far behind…India has not yet reached the 20th
century, Ethiopia the 13th…
GDP PPP per Capita
$40,000
$30,000
$20,000
$10,000
Mexico, $8165
$0
1700
1851
UK
1898
USA
1929
2000
China, $5332
India, $2990
Ethiopia, $688
~ Year 1250
Fraction of Total Inequality Due to
Across Countries
Historically it mattered who you were,
now where you were born
70.0%
60.0%
50.0%
40.0%
30.0%
20.0%
Theil coefficient
10.0%
Mean ln deviation
0.0%
1800 1820 1840 1860 1880 1900 1920 1940 1960 1980 2000
Years
But liberalization has yet to touch labor—wage for equivalent
labor are enormously larger than those that set in motion the
first globalization’s migration
Ratio of wages in PPP
Wage gaps today between potential migration partners
are 6:1 to 9:1—but with much smaller (relative) flows
10.0
9.0
8.0
7.0
6.0
5.0
4.0
3.0
2.0
1.0
0.0
9.0 9.1
7.2 7.6
6.1
3.6
2.3
4.1 4.4
2.4
US US US US Sp US UK Ita NL Ja
A/
A/
A/
A/ ain A/
/K ly/E D/ pan
N
S
Ire
It
/M G u e n
th In d /V
y
la orw we d aly
o
io
a
a
nd
pi one ietn
ay
en 18 ro cc tem
a
sia am
Wage gaps of 2:1 to 4:1 18 18 18 7 0
al
1
o
9
70
19 a 1
70
90 19 19
70
90 99
drove massive migrations
9 0 90
s
s
s
0s
s
prior to 1920
Current “globalization” is
qualitatively different:
(Proliferation of sovereigns (POS),
Everything but labor (EBL)-POSEBL)
Now that was globalization: the Roman Empire and
Mobility…Emperors from Spain, Levant, North Africa, Europe
18
16
1943
1944
1945
1946
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
Pax Americana: the proliferation of sovereigns with modest
amounts of cross-border everything but labor liberality
20
ssa
mena
eca
lac
eap
other
14
12
10
8
6
4
2
0
But even deep liberalization with
borders does not make the world
“borderless”…
2.5
2
Billions
Ontario
1.5
Texas
1
Predicted with Texas
without a border
0.5
0
British Columbia's exports to:
Source: McCallum, 1995
The world is not flat—there are big hills
separating even the liberalized
countries—prices are not equalized
Mean percentage absolute value
difference in producer prices across
goods
60
50
40
30
20
10
0
Source: Bradford and Lawrence, 2004
Canada-USA
Germany-USA
UK-USA
Japan-USA
Until very recently it was EBLG
(Everything but labor globalization)
Percentage of Foreign-Born Population in the Labor Force
14
12
10
Percentage
France
8
Germany
Italy
Japan
6
United Kingdom
United States
4
2
0
1989
1990
1991
1992
1993
1994
Year
1995
1996
1997
1998
Will POSEBL globalization eliminate global inequalities: The
guiding myth of the post WWII globalization and “development”



All problems can be solved in place
without any movement of people
across borders
Why ever would you think so?
History and experience within most
large countries suggest massive
population movements
Does globalization of goods and
capital eliminate the need for labor
mobility?
Simple supply and demand: If there are large region specific
shocks to labor demand then…
Wages
Inelastic labor supply
(mobility restricted)
Supply inelastic: wages
fall
Elastic labor supply
(mobility allowed)
Large fall in region
specific labor demand
Population
Supply elastic: populations fall
If supply is inelastic (e.g. across countries)—
little labor mobility, big differences in growth
Huge differences across countries
In output per capita growth
Small differences in net migration
If labor supply is elastic—(e.g. across regions in large
integrated countries)…large differences in population growth,
small differences in growth
Labor mobility is much larger than growth differences within
these countries, vice versa across countries
The emptying of the heartland and the Delta (only green
shaded counties had substantial population increase over a 60
period)
Red=County Declined; Netyear
Decline between
0 and 5,000
Purple=County Declined; Net Decline between 5,000 and 10,000
Blue=County Declined; Net Decline greater than 10,000
Green=County Increased by more than 10,000
Divide
Renville
Bottineau
Burke
Rolette
Cavalier
Pembina
Towner
Williams
Walsh
McHenry
Mountrail
Ward
Pierce
Ramsey
Benson
Grand
Forks
Nelson
McKenzie
McLean
Sheridan
Eddy
Wells
Dunn
Foster
Mercer
Billings
Griggs
Steele
Traill
Oliver
Golden
Valley
Kidder
Burleigh
Stutsman
Stark
Cass
Barnes
Morton
Slope
Hettinger
Logan
Grant
Ransom
La Moure
Emmons
Bowman
Adams
McIntosh
Sioux
Corson
Harding
Campbell
Richland
Dickey
Sargent
McPherson
Marshall
Perkins
Brown
Walworth
Edmunds
Roberts
Day
Dewey
Potter
Butte
Grant
Faulk
Spink
Ziebach
Codington
Sully
Clark
Meade
Lawrence
Deuel
Hamlin
Hand
Hyde
Hughes
Stanley
Haakon
Beadle
Kingsbury
Brookings
Pennington
Buffalo
Jerauld
Jones
Sanborn
Lyman
Miner
Lake
Moody
Custer
Jackson
Aurora
Brule
Hanson
Davison
Mellette
Minnehaha
Lyon
McCook
Shannon
Fall River
Tripp
Bennett
OÕBrien
Sioux
Brown
Union
Plymouth
Clay
Knox
Holt
Palo
Alto
Grant
Hooker
Thomas
Blaine
Garden
Garfield
Logan
Wayne
Hardin
Hamilton
Webster
Calhoun
Carroll
Boone
Greene
Black
Hawk
Grundy
Clayton
Delaware
Buchanan
Linn
Iowa
Johnson
Dawson
Dodge
Colfax
Shelby
Audobon
Guthrie
Dallas
Jasper
Polk
Poweshiek
Pottawattamie
Hall
Cass
Adair
Madison
Polk
Scott
Louisa
Mills
Montgomery
Adams
Union
Frontier
Gosper
Phelps
Kearney
Clarke
Rawlins
Decatur
Furnas
Harlan
Franklin
Webster
Clay
CassFremont
Page
Taylor
Ringgold
Decatur
Norton
Phillips
Smith
Sheridan
Graham
Rooks
Osborne
Gove
Trego
Ellis
Russell
Republic
Jewell
Washington
Mitchell
Richardson
Davis
Henry
Van Buren
Sullivan
Daviess De
Kalb
Des
Moines
Lee
Lane
Rush
Ness
Osage
McPherson
Rice
Marion
Miami
Anderson
Linn
Reno
Woodson
Greenwood
Ford
Polk
Cedar
Kingman
Wilson
Neosho
Dallas
W oods
Harper
Beaver
Webster
Wayne
Scott
Carter
Douglas
Stoddard
Ottawa
Craig
Barry
McDonald
W ashington
Cape
Girardeau
Bollinger
Shannon
Christian
Stone
Nowata
Perry
Reynolds
Texas
Wright
Jasper
Cherokee
Lawrence
Kay
Grant
Alfalfa
Ste .
Genevieve
St.
Francois
Madison
Greene
Montgomery Labette
Chautauqua
Newton
Texas
Iron
Barton
Dade
Cowley
Harper
Dent
Laclede
Crawford
Elk
Barber
Comanche
Crawford Washington
Phelps
Pulaski
Sumner
Clark
Maries
Camden
Vernon
Sedgwick
Pratt
Kiowa
Meade
Seward
Franklin
Jefferson
Miller
Bourbon
St. Louis
St. Louis City
Gasconade
Osage
Morgan
Benton
Hickory
Allen
St. Charles
Warren
Cole
Henry
Bates
Butler
Gray
Lincoln
Callaway
Moniteau
St. Clair
Edwards
Pike
Montgomery
Pettis
Cass
Harvey
Stafford
Haskell
Ralls
Audrain
Boone
Chase
Coffey
Hodgeman
Franklin
Marion
Monroe
Howard
Cooper
Lyon
Barton
Pawnee
Finney
Shelby
Randolph
Saline
Lafayette
Jackson
Johnson
Morris
Macon
Chariton
Carroll
Wyandotte
Johnson
Saline
Scott
Linn
Livingston
Ray
Clay
Leavenworth
Douglas
Lewis
Clinton
Platte
Jefferson
Wabaunsee
Clark
Knox
Caldwell
Buchanan
Jackson
Shawnee
Geary
Adair
Grundy
Holt
Brown Doniphan
Nemaha
Marshall
Riley
Schuyler Scotland
Harrison
Gentry
Pottawatomie
Clay
Dickinson
Ellsworth
Grant
Appanoose
Putnam
Mercer
Nodaway
Atchison
Stevens
Wayne
Worth
Atchison
Nemaha
Gage
Jefferson
Ottawa
Morton
Jefferson
Saline
Thayer
Lincoln
Stanton
Wapello
Sarpy
Seward
Fillmore
Nuckolls
Cloud
Thomas
Logan
Hamilton
Lucas
Otoe
Adams
Johnson
Red Willow
Andrew
Kearny
Washington
Monroe
Saunders
York
Hamilton
Douglas
Butler
Pawnee
Wichita
Keokuk
Mahaska
Marion
Lancaster
Hayes
Hitchcock
Greeley
Warren
Washington
Howard
Buffalo
Jackson
Marshall
Muscatine
Platte
Merrick
Perkins
Chase
Dubuque
Jones
Benton
Tama
Story
Clinton
Harrison
Burt
Nance
Dundy
Cimarron
Allamakee
Fayette
Bremer
Thurston
Stanton
Madison
Greeley
Sherman
Lincoln
Sherman
Howard
Chickasaw
Butler
Boone
Valley
Keith
Wallace
Mitchell
Floyd
Cedar
Wheeler
Custer
Cheyenne
Franklin
McPherson
Cheyenne
Deuel
Sac
Crawford
Monona
Cuming
Arthur
Ida
Dakota
Loup
Morrill
Cerro
Gordo
Wright
Pocahontas
Dixon
Antelope
Scotts Bluff
Hancock
Humboldt
Buena
Vista
Cherokee
Woodbury
Cedar
Rock
Pierce
Kimball
Clay
Lincoln
Yankton
Boyd
Cherry
Sheridan
Box Butte
Worth
Winnebago
Winneshiek
Turner
Charles Mix
Bon
Homme
Banner
Emmet
Dickinson
Kossuth
Hutchinson
Gregory
Keya Paha
Sioux
Osceola
Douglas
Todd
Dawes
Howell
Taney
Ripley
Ozark
Osage
S h e rm a n
Da lla m
Ha n sfo rd
New Madrid
Delaware
Noble
Garfield
W oodward
L ip sco m b
O ch iltre e
Pawnee
Major
Fulton
Carroll
Benton
Mayes
Rogers
Marion
Ha rtle y
M o o re
Hu tch in so n
Ro b e rts
Kingfisher
Blaine
Roger Mills
W agoner
Creek
Logan
Greer
B risco e
Ha ll
Cotton
Ha rd e m a n
Carter
B a ile y
Lam b
Flo yd
Ha le
Marshall
McCurtain
Choctaw
Howard
Bryan
Love
Wich ita
Foard
Prairie
Grant
T a lla h a tch ie
Clark
Dallas
Ho ckle y
L u b b o ck
Cro sb y
Dicke n s
G a rza
Kent
B a ylo r
A rch e r
Little River
Lam ar
G ra yso n
Co o ke
Re d Rive r
Hempstead
Fa n n in
B o wie
De lta
L yn n
Ja ck
Ha ske ll T h ro ckm o rto n
S to n e wa ll
Wise
De n to n
Co llin
Young
Da wso n
B o rd e n
S cu rry
Fish e r
Jo n e s
P a rke r
P a lo P in to
Wo o d
Ho wa rd
M itch e ll
No la n
T a ylo r
Jo h n so n
Ca lla h a n
E ra th
Wa rd
Cu lb e rso n
Hu d sp e th
M id la n d
Co ke
G la ssco ck
S te rlin g
T om
G re e n
Cra n e
Up to n
Re e ve s
Re a g a n
Irio n
Ha m ilto n
M ills
A n g e lin a
Ho u sto n
Wa sh in g to n
E d wa rd s
L ib e rty
A u stin
Ca ld we ll
Co m a l
G o n za le s
B ra zo ria
De Witt
A ta sco sa
K a rn e s
Ja ckso n
V icto ria
G o lia d
Ca lh o u n
M cM u lle n
Bee
L ive O a k
S a n P a tricio
Nu e ce s
Du va l
K le b e rg
Jim Ho g g
Re fu g io
A ra n sa s
Jim
We lls
We b b
Za p a ta
Acadia
St. Martin
Lafayette
Iberia
Vermilion
B ro o ks
Kenedy
S ta rr
Willa cy
Hid a lg o
Ca m e ro n
M a ta g o rd a
Randolph
Lee
Elmore
Macon
Dallas
Montgomery
Marengo
Choctaw
Russell
Bullock
Wilcox
Barbour
Butler
A mite
Ma rio n
P ike
Pike
L a ma r
P e rry
Monroe
St. John
the Baptist
Orleans
St. James
Assumption
St. Charles
St. Bernard
Ha n co ck
St. Martin
Jefferson
Plaquemines
Baldwin
S to n e
Ha rriso n
Iberville Ascension
Coffee
Dale
Covington
Escambia
Mobile
G e o rg e
P e a rl R ive r
Henry
Conecuh
Washington
G re e n e
W a lth a ll
Lafourche
Crenshaw
W a yn e
Washington
Terrebonne
G a lve sto n
G a lve sto n
Wilso n
Frio
L a S a lle
F ra n klin
East
Tangipahoa
Baton
WestRouge
St. Tammany
Baton
Livingston
Rouge
St. Mary
Fo rt B e n d
L a va ca
Wh a rto n
M a ve rick
Dim m it
Jefferson
Davis
Autauga
Chambers
Tallapoosa
Clarke
Ch a m b e rs
Co lo ra d o
G u a d a lu p e
B e xa r
M e d in a
Za va la
Je ffe rso n
Ha rris
Wa lle r
Fa ye tte
B a n d e ra
Uva ld e
W ilkin so n
Pointe
Coupee
O ra n g e
Cameron
K e n d a ll
Re a l
K in n e y
Calcasieu
Ha rd in
C la rke
Jo n e s
C o vin g to n
L a wre n ce Je ffe rso n
L in co ln
D a vis
F o rre st
West
St.
Feliciana East
Feliciana Helena
St. Landry
B a stro p
Ha ys
K e rr
V a l V e rd e
B re wste r
A d a ms
Avoyelles
Evangeline
Allen
San
Ja cin to
M o n tg o m e ry
L a u d e rd a le
Ja sp e r
Je ffe rso n
Ja sp e r
Beauregard
Perry
S imp so n
Rapides
Vernon
Ne wto n
T yle r
Ne wto n
Clay
Coosa
Chilton
Lowndes
S mith
S a b in e
P o lk
Wa lke r
Lee
T ra vis
S co tt
Hin d s
C la ib o rn e
Concordia
San
A u g u stin e
M a d iso n
G rim e s
B u rle so n
B la n co
T e rre ll
P re sid io
Grant
B ra zo s
K im b le
G ille sp ie
Tensas
La Salle
T rin ity
Ro b e rtso n
M ila m
Willia m so n
Shelby
Bibb
Catahoula
Sabine
Fa lls
B e ll
B u rn e t
L la n o
Tuscaloosa
No xu b e e
K e mp e r
Sumter
Franklin
C o p ia h
L a m p a sa s
San Saba
M a so n
W a rre n
Richland
Cleburne
Talladega
Pickens
W in sto n
Ne sh o b a
R a n kin
Caldwell
Natchitoches
Na co g d o ch e s
Leon
M cCu llo ch
L e a ke
Ma d iso n
Madison
Red
River
Winn
M e n a rd
S u tto n
Lincoln
Ouachita
De Soto
Co rye ll
Co n ch o
Cro cke tt
Issa q u e n a
East
Carroll
Fre e sto n e
S ch le ich e r
P e co s
Je ff Da vis
A tta la
Greene
Jackson
P a n o la
S h e lb y
L im e sto n e
M cL e n n a n
West
Morehouse Carroll
Bienville
Ru sk
Ch e ro ke e
A n d e rso n
B ro wn
Co le m a n
Union
Caddo
S m ith
He n d e rso n
Na va rro
B o sq u e
Co m a n ch e
Ru n n e ls
Bossier
G re g g
E llis
S o m e rve ll
Hill
E cto r
Win kle r
Ha rriso n
Ho o d
E a stla n d
M a rtin
A n d re ws
L o vin g
E l P a so
Ho lme s
Y a zo o
Claiborne
Webster
Up sh u r
Van
Za n d t
K a u fm a n
Jefferson
Hale
M a rio n
Calhoun
St. Clair
O ktib b e h a L o wn d e s
S h a rke y
Ra in s
Da lla s
T a rra n t
C h o cta w
C a rro ll
Hu mp h re ys
Chicot
Ashley
C la y
W e b ste r
Walker
Fayette
Lamar
Mo n tg o me ry
W a sh in g to n
Union
Lafayette
Ca ss
Ca m p
G a in e s
Columbia
T itu s M o rris
Ho p kin s
Hu n t
Ro ckwa ll
S h a ckle fo rd S te p h e n s
Bradley
Miller
Fra n klin
T e rry
Y o a ku m
Cherokee
Etowah
Drew
Calhoun
De Kalb
Marshall
Mo n ro e
G re n a d a
S u n flo we r L e flo re
Nevada Ouachita
Jackson
Madison
Morgan
Cullman
Blount
Desha
M o n ta g u e
Knox
K in g
Lawrence
Winston
Marion
C a lh o u n C h icka sa w
B o liva r
Lincoln
Cleveland
Limestone
Colbert
Franklin
L e e Ita wa mb a
P o n to to c
Y a lo b u sh a
Pike
Sevier
Lauderdale
T ish o min g o
P re n tiss
L a fa ye tte
C o a h o ma Q u itma n
Arkansas
Jefferson
A lco rn
T ip p a h
Un io n
P a n o la
Phillips
Cla y
Co ch ra n
Ma rsh a ll
T a te
T u n ica
Lee
Monroe
Garland
Montgomery
Hot Spring
Jefferson
Wilb a rg e r
Cottle
Motley
Lonoke
Pulaski
Saline
Polk
Pushmataha
Atoka
Johnston
B e n to n
D e S o to
Woodruff
St. Francis
Coal
Murray
Tillman
Crittenden
White
Faulkner
Perry
Scott
Le Flore
Pontotoc
Garvin
Stephens
Ch ild re ss
Cross
Conway
Yell
Latimer
Comanche
Jackson
S wish e r
Poinsett
Jackson
Pope
Logan
Sebastian
Pittsburg
McClain
Harmon
Ca stro
P a rm e r
Mississippi
Craighead
Independence
Cleburne
Franklin
Haskell
Seminole
Hughes
Pottawatomie
Kiowa
Van Buren
Johnson
Sequoyah
MacIntosh
Cleveland
Grady
Co llin g swo rth
Dunklin
Lawrence
Searcy
Stone
Crawford
Okfuskee
W ashita
Caddo
Do n le y
Pemiscot
Muskogee
Okmulgee
Oklahoma
Wh e e le r
Beckham
A rm stro n g
Ra n d a ll
Newton
Adair
Lincoln
Custer
Canadian
G ra y
Ca rso n
P o tte r
O ld h a m
De a f S m ith
Madison
Washington
Cherokee
Greene
Sharp
Izard
Tulsa
Payne
Dewey
Clay
Randolph
Baxter
Boone
Ellis
He m p h ill
Mississippi
Butler
Oregon
Ja ckso n
Geneva
Houston
Ghosts and Zombies


Post WW II world has run a huge natural
experiment—(a) expand dramatically number of
sovereign states (borders, flags, currencies),
(b) encourage mobility of capital and labor but
freeze labor in place (POSEBL globalization)
How will this turn out? Hinges on views of the
role of region specific labor demand:




Small shocks—all good
Big shocks, flows accommodate—all good in long run
Big shocks, policy and ‘institutional’—not so good, can
be fixed
Big shocks, really geographic: lets not think about
it—What would be ghost countries are zombies
Is anything other than POSEBL
globalization possible?
What was, was,
What can be, could be
Value of annual savings from debt relief
versus existing remittances
`
135
Billions
Flows from HIPC debt
relief
Remittances to SubSahran Africa
Net developing
country remittances
3
7.3
Gains to developing country residents from “globalization”
options on and off the table
`
305
Billions
Doubling net ODA
Net gains to developing
countries from
liberalization in Doha
round
79.5
86
Value of welfare gains to
current developing country
residents (including gains
to movers)from 3% of
OECD labor force increase
Which is facetious?
`
8000
Flows from HIPC debt
relief
Billions
Doubling net ODA
Net gains to developing
countries from
liberalization in Doha
round
3
79.5
86
305
Value of welfare gains to
current developing country
residents (including gains
to movers)from 3% of
OECD labor force increase
Gains from open borders
“You see that that Mr. Anderson?... That is the graph
of demographic inevitability... It is the sound of your
death... Goodbye, Mr. Anderson... “ (The Matrix,
adapted)
Population (millions)
Europe’s disappearing act—compared to
the “Muslim tier” that surrounds it
1400
1200
1000
800
600
400
200
0
1950
1970
1990
2010
Year
2030
2050
Support ratios (workers to retirees)-rule of thumb: what cannot happen will
not—but what will happen?
6
5
4
France
Germany
3
Italy
Japan
United States
2
1
0
2000
2005
2010
2015
2020
2025
Year
2030
2035
2040
2045
2050
“Hard core non-tradables” (non-outsourceable services) are the major
labor growth of the future who will do these jobs? With a declining
labor force what is the face of the future labor force?
The historically huge decrease in the cost of capital and the rise in
returns to education—unskilled labor is threatened by skill biased
technical change—lack of labor mobility exacerbate this problem?
Occupation
Employment in
2000
(in ‘000s)
Projected
employment
in 2010
(in 000’s)
Combined food preparation and serving workers
2206
2879
673
Retail Salespersons
4109
4619
510
Cashier, except gaming
3325
3799
474
Security guards
1106
1497
391
Waiters and Waitresses
1983
2347
364
Truck drivers, heavy and tractor trailer
1749
2095
346
Nursing aides, orderlies and attendants
1373
1697
324
Janitors and cleaners
2348
2665
317
Home Health Aides
615
907
292
2084
2373
289
Landscaping and grounds keeping
894
1154
260
Personal and home care
414
672
258
Receptionists and information clerks
1078
1334
256
Truck drivers, light orderly services
1117
1331
214
Packers and packagers, hand
1091
1300
209
27492
32679
5177
Laborers and freight, stock and material movers
Total, hard core non-tradable services
Low to medium skill
Absolute
Increase
(in 000s)
'000 increase in jobs
Future labor creation—top 25 occupations,
hard core non-tradables, mostly low skilled
(e.g. truck drivers, waiters)
6000
5000
4000
3000
2000
1000
0
Hard core Hard Core Services,
nonnonlow skill
tradable, tradable,
low skill
high Skill
Services,
high skill
What is the future?



Moore’s law (increased computing
power)
Robotics
Increase in very high skilled
researchers in rich countries plus
hugely distorted labor costs—
Robots displace Rosalie
(ATMs, automated checkout, self-service
parking garages)
What could be, can be
Will the world choose people?
Globalization cannot include migration
because voters are against it….
In favor of reducing migration "a little" or "a lot"
80
70
60
50
40
30
20
10
0
Italy
Austria
Spain
There is similar, or higher, opposition to trade, but this is a
problem to be handled with globalization and free trade, but an
insuperable objection…
80
70
60
In favor of reducing
migration "a little" or "a
lot"
50
40
In favoring of restricting
trade "a little" or "a lot"
30
20
10
0
Italy
Austria
Spain
While voters closed borders in the early 20th century, the huge
historical spread in incomes raises the question: are the median voter
in rich countries and an unskilled migrant really substitutes?
Source: Author’s calculations with many assumptions
Are the nurses of the future Robots or
Rosalie?