Immigration, uncertainty and macroeconomic dynamics

Date01 February 2020
AuthorDaniela Arzu,Luca Gerotto,Michael Donadelli,Marcella Lucchetta
Published date01 February 2020
DOIhttp://doi.org/10.1111/twec.12865
326
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wileyonlinelibrary.com/journal/twec World Econ. 2020;43:326–354.
© 2019 John Wiley & Sons Ltd
Received: 6 December 2018
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Revised: 15 April 2019
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Accepted: 11 June 2019
DOI: 10.1111/twec.12865
ORIGINAL ARTICLE
Immigration, uncertainty and macroeconomic
dynamics
MichaelDonadelli1,2
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LucaGerotto3
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MarcellaLucchetta3
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DanielaArzu4
1Department of Economics and Management,University of Brescia, Brescia, Italy
2Research Center SAFE,Goethe University Frankfurt, Frankfurt am Main, Germany
3Department of Economics,Ca' Foscari University of Venice, Venice, Italy
4Department of Management,University of Bologna, Bologna, Italy
Funding information
Research Center SAFE; State of Hessen Initiative for Research LOEWE
KEYWORDS
business cycle, fear, Google trends, immigration, life satisfaction, uncertainty
1
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INTRODUCTION
Even though the recent economic debate has raised concerns on the distributional consequences of mi-
gration (Borjas, 2018; Naumann & Stoetzer, 2018), it is widely accepted that the movement of people
across the world's borders boosts global productivity. Those countries that prioritise integration are
more likely to improve outcomes for their own economies and societies as well as for immigrants them-
selves. In its 2016 Global Report, McKinsey (2016) reports the following statistics about the economic
impact of migrants: (a) 40%–80% of labour force growth in top destinations between 2000 and 2014
was contributed by migrants and (b) migrants' contribution to global GDP is around 9.5%. Moreover, it
is observed that migrants of all skill levels contribute to the productivity effect in top destinations and
do not harm the long‐run employment or wages of native workers. Needless to mention, the interna-
tional movement of workers leads to comparative advantages. Undoubtedly, the increasing degree of
goods and financial markets integration across continents/countries has contributed most to the rapid
increase observed in the stock of migrants around the world. Remarkably, the average rate of growth
of the world migrant stock over the last 50years is above 10%. As illustrated in Figure 1, the number
of migrants jumps from 71.9 million in 1960 to 243.2 million in 2015. Updated estimates provided by
McKinsey (2016) for the year 2016 show that 247 million people live outside their motherland.
However, the increasing number of migrants has raised significant concerns about its economic
and social implications, especially among Western, educated, industrialised, rich and democratic
(WEIRD) countries. The series of terrorist attacks and civil wars in the Middle East (ME) and Africa
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DONADELLI Et AL.
have strengthened these concerns. More importantly, conflicts in the ME and Africa have led to a
rapid rise in the number of refugees. World's refugees jumped from 10 million in 2008 to almost 17
million in 2016 (Figure 1). Notably, refugees and asylum seekers account today for 10% of the world's
total cross‐border migrants. Such numbers have contributed to rise fear among natives, in particular
among the EU population. As argued by Williams and Baláz (2012), migration phenomena serve
as a generator of risk/uncertainty, especially in popular, political and policy discussions. A recent
work by Alesina, Miano, and Stantcheva (2018) has analysed the perceptions of the natives towards
the number and characteristics of immigrants in several countries, finding that these perceptions are
significantly biased. In particular, they observe that natives “greatly overestimate the total number
of immigrants, think immigrants are culturally and religiously more distant from them, and are eco-
nomically weaker”. Needless to mention, in many countries politicians did not miss the opportunity
to stoke fear among domestic citizens. Not surprisingly, major advanced economies are today “full of
fear” and prejudices about any form of immigration. Of course, the success of the UKIP party in the
UK in 2010, the most recent US election outcome, as well as the increasing power of far‐right parties
in several EU countries have contributed significantly to the tangible rise in migration uncertainty.
In this respect, there are studies showing that large immigration inflows and weak immigration
policy generate uncertain effects on labour markets, housing markets, schooling, social services and
government spending as well as anxieties and concerns among communities (see, among others,
Bardin, 2017; Boeri, Philippis, Patacchini, & Pellizzari, 2015; Borjas, 2003; Card, 2005; Castañeda,
2015; Crawley & Skeleparis, 2018; Koyama, 2017; Montesino & Christel, 2018). Moreover, Halla,
Wagner, and Zweimüller (2017) observe that waves of refugees from Africa and ME to theEU have
generated further anxiety, which might certainly influence the political, social and economic outcome
of any society. In the light of these developments and empirical evidence, media's attention to immi-
gration‐related issues has largely increased over the last five years (see Figure 2), as observed by
Baker, Bloom, and Davis (2015).1 Increasing media attention to immigration‐related phenomena (Lee
& Nerghes, 2018) has motivated researchers to further examine the implications of immigration for
macroeconomic quantities and prices, especially employment and wages (D'Amuri & Peri, 2014;
Kerr, Kerr, & Lincoln, 2015; Ruhs & Vargas‐Silva, 2016). A large and growing literature focuses thus
on the effects of immigration on the domestic labour market conditions. No study, however, examines
1 An example of increasing media coverage on immigration‐related issues is given by the ongoing EU debate on rescuing
migrants in the Mediterranean sea.
FIGURE 1 International migrant and refugee stock (thousands people)
Notes: This figure shows the evolution of world total migrant (left axis) and refugee stock (right axis).
Source: World Bank, United Nations Population Division. [Colour figure can be viewed at wileyonlinelibrary.com]
1960
76,000 137,000
Thousands
198,000 259,000
9,000 12,000 14,000 16,000
1970 1980 1990 2000 2010
Year
International migrant stock
World refugee population

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