Immigrants Inflows, Native outflows, and the Local Labor Market Impact of Higher Immigration David Card

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Transcription:

Immigrants Inflows, Native outflows, and the Local Labor Market Impact of Higher Immigration David Card Mehdi Akhbari, Ali Choubdaran 1

Table of Contents Introduction Theoretical Framework limitation of the model Data Description and Implementation Immigrant Inflows and Intercity Mobility Patterns Effects of Local Population Shares on Employment and Wages Summary and Conclusions 2

Introduction Over the past decades, immigration to the United States have risen while the real wages of younger and less-educated workers have fallen. A growing body of research finds only modest evidence that immigrant competition has hurt labor market of low wage natives. A 10 percentage point increase in the fraction of immigrants reduce native wages by no more than 1 percentage point. 3

Introduction: Conceptual Problems Natives may move out in response to immigrants inflows This cross-sectional correlation may be upward bias by local demand shocks that raise wages and attract in-migrants In the long run, an immigration induced increase in the labor supply to a particular city can be diffused across the economy by intercity trade 4

Introduction: The Framework of This paper local labor market is stratified along occupational lines and CES technology The role of mobility in offsetting the effects of immigrants Nationally base probabilities for working in different occupation Distinguishing recent and past 5 years immigrants 5

Theoretical Framework Y c = F K c, L c L c = j σ 1 e jc N σ jc σ σ 1 FOC: log N jc = θ c + σ 1 log e jc σ log w jc θ c = σ log[q c F L K c, L c L c 1 σ log N jc P jc = ε log w jc 6

Theoretical Framework (cont.) log w jc = 1 ε + σ {(θ c log P c ) + σ 1 log e jc log P jc P c } log N jc P jc = ε ε + σ {(θ c log P c ) + σ 1 log e jc log( P jc P c )} log e jc = e j + e c + e jc 7

Theoretical Framework (cont.) log w jc == u j + u c + d 1 log f jc + u jc (4) log N jc P jc = ν j + ν c + d 2 log f jc + ν jc (3) d 1 = 1 ε + σ d 2 = ε ε + σ 8

Theoretical Framework (cont.) The local productivity shocks raise wages and lead to an increase to in the population of a particular occupation So d 1, d 2 in equation 3 and 4 have positive biases. Instrument variable = supply push component of the immigrant inflows to a particular city The assumption of supplying same unit of labor and earn same wage! You could assume different demographic subgroups within occupation. 9

limitation of the model Most important limitation is the assumption of one output good. Some goods and services can be exported. Change in local industry structure. However since the market signal to change is shift in relative wages at least in the short run we are good. Nevertheless OLS estimator of the equation 3 and 4 are likely to be smaller in magnitude than the effects would rise with fixed industry structure but they are larger than the run effects. 10

Implementation: Defining Local Labor market 11

Implementation: Defining occupation group An important question is who competes whom? Most existing studies treat immigrant workers as one factor of production and various subgroups of natives as separate factors. An alternative approach = individuals who work in the same occupation are perfect substitutes with each other regardless of their gender of country origin. Problems with this assumption: individual can move between occupations, it may be difficult to measure the population who could potentially work in an occupation. 12

Implementation: Defining occupation group π ij is the probability of individual i to work in occupation j Six occupation: laborers, operative and craftsman, clerical workers, sales workers, managers, professional and technical workers. The paper estimated a set of multinomial logit models, by gender and immigrant status, for the probabilities of working in six occupations. The model included age, education, race, material status, disability status, dummies for the 30 largest cities and dummies for living in some special cities The model for immigrants included the same basic covariates plus dummy variables for 17 different country origins 13

Implementation: Defining occupation group(cont.) 14

Implementation: Defining occupation group(cont.) 15

Implementation: The Degree of competition Intuitively, two groups with very similar predicted occupation distribution are in direct competition. Natives and older immigrants are fairly similar. The occupation distribution of recent immigrants is similar to natives who did not finish high school More formally we could build an index for measuring competition. Index I measures the effective increase in labor supply experienced by one group as the population of another group rises. I 1,2 = σ j f j 2 fj 1 f j 16

Immigrant Inflows and Intercity Mobility Patterns I Main Question: whether immigrant inflows to particular cities lead to offsetting mobility flows by natives and earlier immigrants N 1 90 = N 1 85 + N 1 J N 1 L N 90 N J : Joiners N L : Leavers N 85 = 1 + s 1 J 1 L 1 + 1 s 1 J 2 L 2 + R s 1 : Share of natives in 1985 R = N 3 90 Implication? N 85 17

Immigrant Inflows and Intercity Mobility Patterns II 18

Immigrant Inflows and Intercity Mobility Patterns III Regression Equation: y jc = Z jc β + γr jc + d j + θ c + e jc y jc : population growth for occupation j in city c Z jc : a vector of observable factors that affect this growth rate d j : skill-group fixed effect θ c : city fixed effect 19

III. Immigrant Inflows and Intercity Mobility Patterns IV Instrumental Variable: 17 country groups SP jc = g τ gj λ gc M g 20

21

22

III. Immigrant Inflows and Intercity Mobility Patterns V 23

III. Immigrant Inflows and Intercity Mobility Patterns VI Main results are quite robust Mobility flows of natives and older immigrants are not very sensitive to inflows of new immigrants One caveat: time frame 24

IV. Effects of Local Population Shares on Employment and Wages I Analysis of effects of changes in the skill composition of the local labor force on the labor market outcomes of different occupation group Theory specifies that the relative wages and employment rates of each group depend on the population shares of the groups 25

IV. Effects of Local Population Shares on Employment and Wages II 26

IV. Effects of Local Population Shares on Employment and Wages III Any Problem? 27

IV. Effects of Local Population Shares on Employment and Wages IV Selectivity Bias: We do not observe unemployed Suppose: log w ijc = log w jc + ζ ijc H ijc = d jc + αζ ijc + ν ijc H ijc is a latent index wage is observed only if H ijc > 0 Bias = ρσ ζ λ π jc 0.05 28

IV. Effects of Local Population Shares on Employment and Wages V Estimations: 0.15 d 1 0.05 & 0.2 d 2 0.1 Interpretation: an inflow of 10% for one occupation group would reduce relative wages for that occupation by 1.5% at most 29

V. Summary and Conclusions 3 Substantive Conclusions: Inflows of new immigrants did not generate large offsetting mobility flow by natives or earlier immigrants in the same skill groups Shifts in population shares are associated with systematic changes in relative employment Shifts in relative population shares are associated with changes in relative wages 30