|
A simple expression of this possibility is depicted in Figure 5, which we
label the “Dynamic Economy” model. We begin with the assumption that
wages in all local labour markets are in equilibrium at the intersection of the
original demand and original supply curve, the point shown by
W0 and R0. We
then let the labour demand curve in a selected city shift outward, perhaps
reflecting a resource discovery. As a result, wages in that city might be
expected to rise to Wh and resident employment to
expand to Rh. However, since immigrants are
mobile and attentive to economic rewards, they select the city with the dynamic
economy over all others. When they do so, they cause the supply of labour
curve to shift out (and become more elastic) at wages above
W0. Employment expands from
R0 to R1+M.
Although the resulting wage rate, W1, is below the
counterfactual wage Wh, it may nevertheless remain
for some time above the initial level W0, and
therefore above the wage in cities that did not experience the positive demand
shock. Resident employment also expands from
R0 to R1.
Figure 5 provides a framework for interpreting Goldin’s finding of a negative
wage impact. When she reports, “wages were depressed in cities
having an increase … [in their] foreign born” (emphasis added), she is
referring to the difference between Wh and
W1, not to a wage below
W0. This subtlety is overlooked in many
summaries of Goldin’s contribution. Reviews of Goldin reported by Hatton
and Williamson (1998: 170), Dolmas and Huffman (2004: 1129), and Graham (2004:
60) suggest that immigrants depressed wages to a level below
W0. This was not the case. Resident
wages were high in cities with large numbers of immigrants.
The dynamic economy model assumes a demand shock unrelated to
immigration. A second mechanism that would explain the failure of
immigration to have a depressing impact on wages is an induced demand
shift, that is, a shift in demand that responds to the arrival of
immigrants. More foreigners or indeed more population from any source by
itself should not mean lower wages or increased unemployment because the
additional people not only supply labour but add to the demand for output in a
closed economy. Even if we relax the textbook assumption of a closed
economy and allow local labour markets to import goods from another region to
meet the expanding demand, this induced demand story will still be valid.
This is because some goods and services must be produced where they are
consumed – restaurant meals, construction, and educational and medical
services. In addition, an open economy will respond to an increase in its
labour force by expanding production of tradable commodities in which it has a
comparative advantage. Thus an exogenous entry of immigrants that
produces an outward shift in the labour supply curve will prompt a positive
response from the labour demand side of the market. It is also
conceivable that, with an open economy, the impact of immigration may increase
resident wages if the expansion of local industry pursuing a comparative
advantage also allows those firms to exploit economies of scale (Romer 1996;
Brezis and Krugman 1996) or if strong complementarities between immigrants and
residents are at work (Ottaviano and Peri 2005).
Conclusion
The dynamic and open economy models imply that immigration does not harm
resident workers in the common-sense way in which the term “harm” is generally
understood. In the cases we examined, the wage either increases or
remains the same and the employment of residents is not reduced. The
empirical evidence from 100 years ago suggests that wages of residents
increased and the local employment of residents increased in the presence of
heavy immigration. The estimates reported by Goldin and by Hatton and
Williamson of a wage setback for resident workers are only valid if we
interpret them to suggest that resident wages would have risen even faster
without immigration.9 Such a counterfactual estimate is problematic
for at least two reasons. If one is looking either for an explanation of
political opposition to immigration in the past, as was Goldin or Williamson in
an earlier article (1982), or if one is defending a proposal to restrict
immigration in the present, what is likely to matter most is whether real wages
fall in the presence of immigration not whether the growth of real wages
is slowed (Williamson 1982: 256). Second, as articulated by Goldin
and by Hatton and Williamson, the counterfactuals that they offer assume that
there is no impact of immigration on the forward momentum of the economy.
Yet, there is every reason to suppose that without immigration, wage growth,
even in these high-wage cities, might have been slower or even halted.
There is a broad consensus that immigration accelerated the rate of economic
growth. The key mechanisms emphasized in the literature are:
-
The high labour force participation rate of immigrants
-
Immigration-induced capital flows from abroad
-
High immigrant saving rates
-
Increase in population-sensitive investment
-
Economies of scale
-
The roles of immigration in stimulating inventive activity and of population growth in accelerating the adoption of new technology
-
The importation of significant stocks of human capital without cost to the American economy.
For a review of the literature see Carter and Sutch (1999: 319-332).
In a dynamic economy there is also a more direct connection between immigration
and growth. The fact that immigrants opportunistically select local
markets with the highest wages suggests that the ebb and flow of immigrants can
act as a “governor” for the economy. By reducing the rate of wage growth,
the local business boom can continue without being choked off by explosive wage
growth (Carter and Sutch 1999: 338-339). Thus the fact that the wage does
not reach the hypothetical level of Wh can be
considered as good for the economy and as good for resident workers.
Endnotes
1 This summary refers in particular to a series of studies reported by the National Bureau of Economic Research (NBER). See Robert LaLonde and Robert Topel (1991) and Joseph Altonji and David Card (1991). In summarizing the NBER research effort John Abowd and Richard Freeman reported that the “broad implication is that immigrants have been absorbed into the American labor market with little adverse effect on natives” (Abowd and Freeman, 1991: 22). A National Research Council Panel convened by the U.S. Commission on Immigration Reform reached the same conclusion (Smith and Edmonston 1997: 219-220). See Card (2005) and Gianmarco Ottaviano and Giovanni Peri (2005, 2006) for recent contributions that bolster the conclusion that the impact of immigration on the wages of competing native-born workers is small.
2 See Roger Lowenstein (2006) for an accessible account of the debate.
3 Another problem is that some of the findings are driven by two significant outliers: Los Angeles and New York City. Both cities are major ports of entry for new immigrants even today.
4 The simple model assumes one type of labour. Data reported here are averages across a variety of labour types. These averages are affected not only by the wage paid to each category of labour, but also by the relative share of the different occupations in the total. The impact of shifting relative shares on the average is called the “composition effect.” Since immigrants earned lower wages than the native-born, the growth of the immigrant share of the labour force would be expected to lower the average wage. Indeed, as the immigrant share of the labour force grew, it is theoretically possible for the overall wage to fall even when the wages of both the native-born and the immigrants were rising. That the average rose despite the negative composition effects, means even stronger wage gains for immigrants, natives, or both, than trends in the average wage suggest.
5
Note: The rates graphed are the decadal average
annual net migrant flows divided by the average native-born population.
The state names are indicated by a two-letter code. The plot for
Wisconsin is the small dot partially hidden by the plotted observation for New
Hampshire.
Source: Eldridge and Thomas 1964: Tables A1.11,
A1.12, and A1.14.
6 The data for other decades is qualitatively similar. The correlation coefficients between native- and foreign-born net migrations are 0.64, 0.70, and 0.77 for the decades of the 1880s, 1890s, and 1900s, respectively. Only Wisconsin in the 1880s displayed migration patterns consistent with possible crowding-out. In that decade an 18.7 percent immigration rate was associated with an 8.2 percent outflow of the native born.
7
Note: All 318 counties with an increase in the
foreign-born population (aged 10 and older in 1910) equal to or greater than
1,000 are indicated. The bubble size is proportionate to the numerical
increase in the foreign-born with New York and Kings Counties in New York State
the largest with increases of 362 and 195 thousand respectively followed by
Cook County, Illinois (the site of Chicago with 193 thousand), and Philadelphia
County, Pennsylvania (75 thousand).
Source: Haines 2004 and authors’ calculations.
8
Note: All 318 counties with an increase in the
foreign-born population (aged 10 and older in 1910) equal to or greater than
1,000 are indicated. The bubble size is proportionate to the rate of
foreign immigration. All counties above the straight line experienced
both foreign immigration and native in-migration. Those below experienced
native departures.
Source: Haines 2004 and authors’ calculations.
9 These authors, we think, would accept this interpretation of their findings.
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