Open Borders. John Kennan University of Wisconsin-Madison and NBER. SED, July / 44

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Open Borders John Kennan University of Wisconsin-Madison and NBER SED, July 2011 1 / 44

Development I do not see how one can look at figures like these without seeing them as representing possibilities. Is there some action a government of India could take that would lead the Indian economy to grow like Indonesia s or Egypt s? If so, what, exactly? If not, what is it about the nature of India that makes it so? The consequences for human welfare involved in questions like these are simply staggering: Once one starts to think about them, it is hard to think about anything else. Lucas (1988) 2 / 44

Development I do not see how one can look at figures like these without seeing them as representing possibilities. Is there some action a government of India could take that would lead the Indian economy to grow like Indonesia s or Egypt s? If so, what, exactly? If not, what is it about the nature of India that makes it so? The consequences for human welfare involved in questions like these are simply staggering: Once one starts to think about them, it is hard to think about anything else. Why not think about restrictions on migration? The economy of Zimbabwe is a disaster. Why worry about how to raise income in Zimbabwe? Why not just let people move to better places? It s true that the effect of open borders is only a level effect (Lucas was excited about faster growth, continuing indefinitely) Still, big level effects are worth thinking about especially while we are trying to work out the answer to Lucas s question We know how to open borders (ignoring politics...) 3 / 44

The Economics of Immigration A huge literature, addressing a limited set of questions 1. Assimilation 2. Selection 3. Effects on Wage Levels and Skill Premia in Host Countries These questions are interesting But the most interesting question is largely ignored: Why not just let people choose where they want to live? 4 / 44

World Population, Labor Force and Wages Population and Income, 2009 Penn World Tables (v7.0) qa GDP per caput (PPP, $2005) 200 1000 10000 50000 pw kn lu bm bn kw ae mo sg no au is ca us ie gq tt ompr nz fi hk ch dk at sebe nl ukde it sc bh si il gr bb bs tw es fr jp mt kr cy cz ee sk pt sa ag ly hu pl gd lc lv lt hr lb cr by kz cl ru sr cu ir mx mu ga uy bg jm az romy ar pa do bz ve tr rs me pe br mh vc to bw mk al tm th ws vu ba co za sv tngt ua dm ec am ao bt gy gejo ki mv na iq dz fm cv fj eg hnbo lk id sz mn py pg sy ma dj la vn ph md cg ye zm uz sb kg ni tj sd ngpk st khcm gm ls mr ht td sn cigh rw ug ke bd tl bj af tz km ml np sl gn bf gw tg mg cfer mw mz et so ne lr bi zw cd in cn.1 1 10 100 1000 Population (millions) 5 / 44

World Population, Labor Force and Wages Population and Income, 2009 Penn World Tables (v7.0) qa GDP per caput (PPP, $2005) 200 1000 10000 50000 pw kn lu bm bn kw ae mo sg no au is ca us ie gq tt ompr nz fi hk ch dk at sebe nl ukde it sc bh si il gr bb bs tw es fr jp mt kr cy cz ee sk pt sa ag ly hu pl gd lc lv lt hr lb cr by kz cl ru sr cu ir mx mu ga uy bg jm az romy ar pa do bz ve tr rs me pe br mh vc to bw mk al tm th ws vu ba co za sv tngt ua dm ec am ao bt gy gejo ki mv na iq dz fm cv fj eg hnbo lk id sz mn py pg sy ma dj la vn ph md cg ye zm uz sb kg ni tj sd ngpk st khcm gm ls mr ht td sn cigh rw ug ke bd tl bj af tz km ml np sl gn bf gw tg mg cfer mw mz et so ne lr bi zw cd in cn.1 1 10 100 1000 Population (millions) Big differences in GDP per person remain after adjusting for differences in physical and human capital endowments ( Levels Accounting ) 6 / 44

International Wage Differentials Foreign Wages Relative to U.S. Wage Relative to U.S..05.1.15.2.25.3.35.4.45.5.55 uy pa jm jo cr sl ni py do gt ec ht ye cl lk cm kh bo ma ve gh ar za tr co pe ug np eg th ph et mx vn pk 1.00 10.00 100.00 500.00 Population (millions) ng bd br id in Clemens, M.A. and Montenegro, C.E. and Pritchett, L., The place premium: wage differences for identical workers across the US border (2008). Foreign-born, foreign-educated workers in the U.S. Census compared with similar workers in 42 home countries 7 / 44

International Wage Differentials Wage Relative to U.S., 70% Selection.05.1.15.2.25.3.35.4.45.5.55.6 ng ye eg ht khghcm idvn ve pk in sl Wage Differences, 1999 jo lk ec bo bd np ug et ph pa pe ni cl brjm za gt py co uy tr.05.1.15.2.25.3.35.4.45.5.55 Wage Relative to U.S. ar mx th cr ma do Selection: suppose migrants come from the 70th percentile in the home country with respect to the wage effects of unobservables (e.g. motivation) 8 / 44

International Wage Differentials Relative Wages and Income per worker, 1999 Relative Income per worker (PPP).05.1.15.2.25.3.35.4.45.5 eg ve jo ec bo lk pe ph.05.1.15.2.25.3.35.4.45.5 Wage Relative to U.S. jm cl pa uy co za py mx cr ma relative income:(real GDP per worker) (labor share) 9 / 44

Wages and the Marginal Product of Capital Factor Prices MPK.03.04.05.06.07.08.09.1.11.12 jo lk bo ec cl pe ph jm pa uy co py za mx cr ma.15.2.25.3.35.4.45.5.55.6.65.7.75.8.85.9.95 1 Wage Relative to U.S. us MPK: Caselli and Feyrer, "The Marginal Product of Capital", QJE (2007) 10 / 44

Outline 1. Factor Price Equalization 2. Factor Price Equalization with Productivity Differences 3. Migration and Labor Supply: General Equilibrium Effects 4. Immigration and Wages 5. Dynamic Programming Model of Migration (sketch) 6. Labor Supply with Open Borders and Home Preferences 7. Magnitudes: Effective World Labor Supply 8. Magnitudes: Net Gains from Migration 11 / 44

Literature Daniel Trefler, International Factor Price Differences: Leontief was Right!, JPE (1993) Lutz Hendricks, How Important Is Human Capital for Development? Evidence from Immigrant Earnings, AER (2002) Caselli and Feyrer, "The Marginal Product of Capital", QJE (2007) Klein and Ventura, Productivity differences and the dynamic effects of labor movements, JME (2009) Gordon H. Hanson, "International Migration and Human Rights", NBER (2010). Rebecca Lessem, U.S.-Mexico Immigration: Effects of Wages And Border Enforcement, jmp (2010) John Kennan and James R. Walker, The Effect of Expected Income on Individual Migration Decisions, ECMA (2011) 12 / 44

Spatial Equilibrium: Rosen-Roback Two locations Amenities attract workers; also affect production costs Workers like higher wages(w) and lower land rents(r) Employers like lower wages and lower land rents Equilibrium: workers and employers indifferent between(w 1,r 1 ) and(w 2,r 2 ) Two orderings of(w, r): Two prices needed to get indifference 13 / 44

Factor Price Equalization Two locations, Two products Producers like lower wages(w) and lower capital prices(r) Equilibrium: producers of each good indifferent between(w 1,r 1 ) and(w 2,r 2 ) Two orderings of(w, r): Two prices needed to get indifference 14 / 44

Factor Price Equalization Capital and Labor are immobile across countries, but factor prices are equal Beautiful but wrong: Why does it fail? 15 / 44

Factor Price Equalization with Productivity Differences J countries, with different productivity levels. Productivity differences are labor-augmenting (Harrod-neutral) (equivalent to TFP differences in the 1-product Cobb-Douglas case) Production function for product s in country j Q j ( s = F s K j s,a j L j ) s a j : efficiency units of labor per worker in countryj (same for alls) No mobility of capital or labor across countries Cost function for productsin countryj c j s(v,w) = c 0 s (v, waj ) wherew is the wage per efficiency unit of labor, andv is the price of capital c 0 s is the unit cost function when labor is measured in efficiency units, Q s = F s (K s,l s ). 16 / 44

Factor Price Equalization with Productivity Differences Free trade in product markets, no transport costs Zero-profit condition implies p s = c 0 s ( v j, w ) j a j If two productsrandsare produced in countryj, then c 0 r c 0 s ( v j, w ) j a j ( v j, w ) j a j = p r = p s These equations determine the factor prices in country j. If the marginal rates of technical substitution satisfy a single-crossing condition, the factor prices are uniquely determined 17 / 44

Factor Price Equalization with Productivity Differences If country l also produces these same two products, the same equations determine factor prices in countryl(witha l in place ofa j ) This impliesv j = v l, and Thus w j a j = w l a l w j = a j w 0 wherew 0 is a reference wage level that can be normalized to 1. In this model, migration has no effect on relative wages. If 30 million workers move from Mexico to the U.S., it will still be true that the wage in the U.S. is 2.5 times the wage in Mexico. But migration affects wage levels. 18 / 44

Implications the very large wage ratios we observe for many countries are sustained by policy barriers to movement [Clemens et al, (2008)] In theory, moving labor from a poor to rich country... lowers (raises) incomes for laborers in the receiving (sending) country [Hanson (2010)] Not in the HO model: removing the barriers has no effect on wage ratios; emigration does not raise wages 19 / 44

General Equilibrium Given factor prices, goods prices are determined by the cost functions Given goods prices, quantities are determined by preferences and total income (where income depends on factor prices) Given goods quantities, and factor prices, producers choose factor quantities Given factor demands, factor prices determined by market clearing If the production function for each good is a CES, the price of goodsis given by p 1 σ s = α s ( v α s ) 1 σ +β s ( w β s ) 1 σ w is the wage in efficiency units,σ is the elasticity of substitution,α s +β s = 1 If utility function is loglinear, with inelastic labor supply, quantities are given by p s Q s = θ s ( w L+v K) K, L: total amounts of capital and labor (in efficiency units) 20 / 44

General Equilibrium: Factor Demands Conditional factor demands given by cost function derivatives ( v ) σ K s = Q s c σ s L s = Q s c σ s α s ) σ ( w β s Factor market clearing: Q s c σ s s ( v α s ) σ = K Similar equation for labor (redundant by Walras Law). 21 / 44

Equilibrium Factor Price Ratio The market-clearing equation for capital reduces to ξ s : capital share for goods: θ s ξ s = s v K v K +w L ξ s = vk s vk s +wl s Weighted average of the capital shares matches the capital income share ξ s may be an increasing or decreasing function of the v w (depending onσ) Cobb-Douglas case: θ s α s = s v K v K +w L capital shareξ s = α s (a technological parameter) 22 / 44

General Equilibrium: Consumer Prices The price ratio between any two consumer goods is given by p 1 σ s p 1 σ t = ασ s αt σ ( v w ( v w ) 1 σ +β σ s ) 1 σ +β σ t In the limit, whenσ approaches 1, log ( ps p t ) ( v = (α s α t )log w) An increase in the relative price of capital implies an increase in the relative price of capital-intensive goods. 23 / 44

Immigration and Wages The effective total supply of labor (aggregated over countries) is L = j a j L j When workers move to a country with higher productivity, the effective supply of labor increases, the capital labor ratio falls IfM jk workers migrate fromj tok, L = j (a k a j )M jk k Cobb-Douglas: elasticity of v w with respect to the capital labor ratio is unity The time it takes to earn one unit of goodsis p s w, determined by log ( ps w ) ( v = α s log α s log(α s ) β s log(β s ) w) 24 / 44

Immigration and Wages A relaxation of immigration restrictions leads to a fall in the real wage The wage effect is the same in all (both sending and receiving) countries Factor price equalization holds both before and after the migration of labor, but migration reduces the wage per efficiency unit (and so reduces the wage of all non-migrants) Migration reduces prices of labor-intensive relative to capital-intensive goods but the real wage falls regardless of the composition of consumption 10% increase in L implies a 10% increase in the factor price ratio So if the capital share for goodsisα s = 1 4, the real wage falls by about 2.5% when measured in terms of goods. When measured in terms of more labor-intensive goods, wage falls less Migration increases the wages of (most) migrants 25 / 44

Long-Run Wage Effects Migration increases the return on capital Steady State f : marginal product of capital ρ: rate of time preference δ: depreciation rate of capital k :effective capital-labor ratio f (k ) = ρ+δ Migration increases effective labor Capital-labor ratio falls belowk, MPK rises aboveρ+δ Investment increases, effective capital-labor ratio returns tok Real wage returns to original level 26 / 44

Winners and Losers Stayers lose in the short run (no change in the long run) Most migrants gain (all migrants gain in the long run) 27 / 44

Migration Decisions Kennan-Walker (2011) [internal migration in the U.S.] Rebecca Lessem (2011a,b) [MX-US; Puerto Rico-US] Maximize PV of lifetime income w ij individuali s earnings in locationj local price of individual s skill bundle Wage in current location is known Wages in other locations can be learned only by moving there w ij (a) = X i β +µ j +υ ij +G(X i,a)+ε ij (a)+η i w ij (a) Wage of individualiin locationj at agea µ j Mean wages in locationj (known) υ ij location match effect (permanent) G age-earnings profile η i individual effect, fixed across locations (known to the individual) ε i transient effect, iid over time Migration decisions depend only onµandυ 28 / 44

Migration Location choice V (x,ζ) = max j (v(x,j)+ζ j ) x: state vector (Includes home location, current and previous location, age) ζ: payoff shock (preferences or moving costs) Continuation value v(x,j) = u(x,j)+β x p(x x,j) v(x ) Expected continuation value v(x) = E ζ V (x,ζ) Choice Probabilities ρ(x,j) = exp(v(x,j) v(x)) 29 / 44

State Variables and Flow Payoffs Flow payoff ũ h (x,j) = u h (x,j)+ζ j, u h (x,j) payoffs associated with observable states u h (x,j) = α 0 w ( a,l 0,ω ) + K ( α k Y k l 0 ) +α H χ ( l 0 = h ) τ (x,j) k=1 ζ j a preference shock or a shock to the cost of moving ω location match component of wages α H attachment to home location 30 / 44

Moving Costs Cost of moving to locationj l 0 in statex τ (x,j) = γ 0τ +γ 1 D ( l 0,j ) γ 2 χ ( j A ( l 0)) γ 3 χ ( j = l 1) +γ 4 a γ 5 n j γ 0τ base cost (disutility) of moving, for someone of type τ D ( l 0,j ) distance froml 0 toj γ 2 cheaper to move to an adjacent location A ( l 0) the set of locations adjacent tol 0 (e.g. States that share a border) γ 3 cheaper to move to a previous location γ 4 moving cost rises with age γ 5 cheaper to move to a large location (n j is the population in locationj) 31 / 44

How Big are the Moving Costs? Most people don t move (e.g. from Puerto Rico to the U.S.) The gains from moving are very big So moving costs must be huge But... Some people do move (so the cost can t be that big) Many people move in the wrong direction and many people return to a low-wage location (MX, PR) after moving to a high-wage location (US) A lot of migration has nothing to do with income ( payoff shocks ) Moving costs are heterogeneous Average cost for those who move is low Cost of a forced move would be high 32 / 44

Geographical Labor Supply Elasticities proportional population change.1.05 0.05.1.12 Responses to 10% Wage Changes White Male High School Graduates 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 year CA, decrease CA, increase IL, decrease IL, increase NY, decrease NY, increase 33 / 44

Labor Supply and Wages with Open Borders: Magnitudes Simple Model Proportion of people who do not move is equal to the relative wage the ratio of the home wage(w 0 ) to the highest wage elsewhere(w 1 ) Derivation: Assume log utility. Stay if log(w 1 ) δ log(w 0 ) δ: disutility of moving (attachment to home), randomly distributed over people Assume the distribution ofδ is the unit exponential: Prob(δ x) = e x Then the probability of staying is Prob ( ( )) w1 δ log w 0 = e log ( w1 w 0 ) = w 0 w 1 Examples: the wage in Puerto Rico is about 2 3 of the U.S. wage (Clemens et al) and the proportion who choose to stay in Puerto Rico is also about 2 3 (Census) 10% increase in MX/U.S wage ratio decreases migration by 11.6% (Lessem) 34 / 44

World Labor Supply Each person starts withx 1 units of effective labor (x = 1 in the U.S.) The proportion of stayers isx average supply of effective labor after migration x x+(1 x) = 1 x+x 2 The increase in effective labor per person is1 x+x 2 x = (1 x) 2. For Puerto Rico this gives 1 9 35 / 44

Labor Supply Estimate Clemens et al (2008): relative wages in 1999 for 42 developing countries Effective Labor Supply L(t) = j n j (t)x j (t)+ j n j (t)(1 x j (t)) 2 n j labor force in countryj 36 / 44

Effective Labor Supply Relative Labor Supply 1.25 1.4 1.5 1.63 1.75 1.85 bz Open Borders: Effective Labor Supply gy sl jo jm ni pa uy cr py ht bo ec gt do kh gh cm cl lk np ug pe ma co za ar tr et ng vnpk.1.5 1 5 10 50 100 350 Labor Force (millions, log scale) ph th mx bd br id in L(t) L 0 (t) = 1+ j n j (t)(1 x j (t)) 2 j n j (t)x j (t) On average (42 countries), effective labor supply increases by 63% If capital share is 1 4, real wage falls by about 15% (short run) 37 / 44

Net Gains from Migration The net gain for the marginal migrant is zero If the lowest migration cost is zero then the first person who moves gains the full wage difference, y 0 x y 0 For the average migrant, the gain is roughly the average of these: 1 x 2x y 0 (not exact for the exponential cost distribution, but close enough) The proportion of people who do not migrate isx So the income gain for the average person is y = (1 x) 1 x 2x y 0 = (1 x)2 y 0 2x y 0 : real income per worker (Penn World Tables 7.0; Bernanke-Gurkaynak) Two countries may have the samex, differenty 0 because differences in real GDP per worker confound productivity differences with differences in human and physical capital stocks 38 / 44

Net Gains from Migration Net Gain per Worker (ppp$2011) 17000 15000 13000 11000 9000 7800 5000 3000 1000 bz Open Borders: Net Gains from Migration gy jm jo pa uy cr sl ni py ht bo gt do ec cl cm kh lk gh np pe ar co za ug ma tr et ph th ng vn pk mx bd brid.1.5 1 5 10 50 100 350 Labor Force (millions, log scale) in y = j n j (1 x j) 2 2x j y j j n j y j : (realgdpperworker) (laborshare) 39 / 44

Net Gains from Migration Net Gain per Worker (ppp$2011) 17000 15000 13000 11000 9000 7800 5000 3000 1000 ng Open Borders: Net Gains from Migration ht kh sl gh idpk cm in vn jo ec bo lk np bdug et pe gy br ph.05.1.15.2.25.3.35.4.45.5 Relative Wage cl jm ni pa uy gt co za py tr ar mx bz th cr do ma (curve: predicted income per worker, based on relative wage) Average gain (including stayers): about $7,800 per worker per year 40 / 44

Conclusion there is popularity in the doctrine of a living wage; so we had better leave politicians to praise it and set ourselves to criticise it Quarterly Journal of Economics, 97. 41 / 44

Conclusion there is popularity in the doctrine of a living wage; so we had better leave politicians to praise it and set ourselves to criticise it Quarterly Journal of Economics, 1897. 42 / 44

Conclusion there is popularity in the doctrine of a living wage; so we had better leave politicians to praise it and set ourselves to criticise it. Alfred Marshall, Quarterly Journal of Economics, 1897. 43 / 44

Conclusion there is popularity in the doctrine of a living wage; so we had better leave politicians to praise it and set ourselves to criticise it. Alfred Marshall, Quarterly Journal of Economics, 1897 Immigration is unpopular because immigrants don t vote Economists should speak up We are enthusiastic about free trade If free movement of goods is important, then surely free movement of people is even more important Open borders could yield huge welfare gains more than $7,000 a year for a randomly selected worker (including non-migrants) 44 / 44