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This chapter examines the role of immigrant networks on trade, particulalry through the demand effect. First, we examine the effect of immigration on trade when the immigrants consume more of the good that is abundant in their home country than the natives in a standard Heckscher–Ohlin model and find that the effect of immigration on trade is a priori indeterminate. Our econometric gravity model consisting of 63 major trading and immigrant-sending country for the United States over 1991–2000. We find that the immigrants income, mostly through demand effect has a significant negative effect on U.S. imports. However, if we include the effect of the immigrant income interacted with the size of the immigrant network, measured by the immigrant stock, we find that higher immigrants income lowers the immigrant network effect for both U.S. exports and imports. This we find in addition to the immigrants stock elasticity of 0.27% for U.S. exports and 0.48% for U.S. imports. Capturing the immigrant assimilation with the level of immigrant income and the size of the immigrant enclave this chapter finds that the immigrant network effect on trade flows is weakened by the increasing level of immigrant assimilation.

The purpose of this paper is to analyse how the introduction of a liberalised regime for labour immigration in Sweden affected the self-selection of new immigrant entrepreneurs and to what extent the changes in entrepreneurial income among new immigrants was due to self-selection or to a changing business environment.

Based on rich microdata from Swedish administrative registers, this paper investigates how incomes changed during the years before and after the migration policy reform. By decomposing the income differential of new immigrant entrepreneurs arriving before and after the reform, this study estimates the contribution of a changed composition of migrants to the changing entrepreneurial income.

Entrepreneurial income among self-employed new immigrants improved after the reform, narrowing the immigrant–native income gap, while among employees, the income gap remained during the whole period of the study. Out of the total 10.9 per cent increase in log income, the authors find that 2.7 per cent was due to selectivity, i.e., changing characteristics of new immigrant entrepreneurs. The remaining 8.2 per cent was due to increased returns to characteristics, i.e., the characteristics of new immigrant entrepreneurs were better rewarded in the markets in the latter period. Hence, increases in entrepreneurial income among new immigrants were due both to self-selection and changes in the business environment.

The authors find that the migration policy reform had the effect of attracting successful immigrant entrepreneurs. Hence, the findings have implications for migration policy as well as for growth and employment policy.

This paper reveals a positive trend regarding income from the entrepreneurship of new immigrants after the liberalisation of labour immigration policy in Sweden. Theoretically and methodologically, the authors combine self-selection theory and the mixed-embeddedness perspective in a novel way, using rich data and a quantitative approach.

Previous studies of immigrant populations suggest that ceteris paribus an immigrant's level of income is strongly and positively correlated with his proficiency in the local language. The purpose of this paper is to extend this literature using data from a telephone survey carried out in 2005 among a representative sample of Former Soviet Union (FSU) immigrants. Unlike previous surveys, the data includes responses to detailed subjective questions on degree of social involvement, in addition to the number of years since migration and level of proficiency in the local language. The authors are able to demonstrate that a higher degree of assimilation is associated with a significantly higher likelihood of finding full-time employment. Moreover, the estimation results for the wage equation reveal that the effect on income previously attributed solely to language proficiency is in fact also the result of more successful assimilation in the receiving culture. The findings thus stress the importance of assimilation in determining success in job search and in explaining variations in income among immigrants who are already employed in full-time jobs. Finally, the results obtained when differentiating according to gender show that male immigrants have better prospects of finding a job than female immigrants and higher incomes once they find one, which is consistent with the existing literature.

In order to compare the relative importance of the language proficiency variable (LANGUAGE _i ) to that of the social involvement variable (ASSIMILATION _i ), The authors apply the probit model to two separate equations. The first is the prospects of finding a job and the second is the wage equation.

–The authors are able to demonstrate that a higher degree of assimilation is associated with a significantly higher likelihood of finding full-time employment. Moreover, the estimation results for the wage equation reveal that the effect on income previously attributed solely to language proficiency is in fact also the result of more successful assimilation in the receiving culture. The findings thus stress the importance of assimilation in determining success in job search and in explaining variations in income among immigrants who are already employed in full-time jobs. Finally, the results obtained when differentiating according to gender show that male immigrants have better prospects of finding a job than female immigrants and higher incomes once they find one, which is consistent with the existing literature.

The limitation is, like all of the existing literature and in particular the few studies that deal with social networking, that the database is exclusively based on either interviews or surveys consisting of self-assessment questions (such as, Dustman, 1996; Lazear, 1999; Amuedo-Dorantes and Mundra, 2007). Consequently, the implicit assumption is that the respondent's self-perceived level of assimilation constitutes a good proxy for the true level.

The implications are the following: the findings are thus consistent with those of Lazear (1999), who anticipates a negative correlation between the relative size of a minority group and the level of proficiency in the local language. In the case of Israel, which received a massive wave of 1.5 million immigrants from the FSU, the findings indeed suggest that the chances of an immigrant job seeker finding a job are far more dependent on his degree of assimilation than his level of language proficiency. Moreover, the effect of the degree of assimilation, which has not previously been included in estimations, was mistakenly attributed to language proficiency. The findings of this research thus reveal the importance of the degree of assimilation in finding a job and can explain income differences among those who have already found full-time employment.

Previous studies of immigrant populations suggest that ceteris paribus the level of income is strongly and positively correlated with proficiency in the local language. The current study extends this literature using data from a telephone survey carried out in 2005 among a representative sample of FSU immigrants. Unlike previous surveys, the data includes responses to detailed subjective questions on degree of social involvement, in addition to the number of years since migration and level of proficiency in the local language. The authors are able to demonstrate that a higher degree of assimilation is associated with a significantly higher likelihood of finding full-time employment. Moreover, the estimation results for the wage equation reveal that the effect on income previously attributed to language proficiency is in fact the result of more successful assimilation in the receiving culture. The results are robust to gender differences. The findings thus stress the importance of assimilation in determining success in job search and in explaining variations in income among immigrants who are already employed in full-time jobs.

High socioeconomic status (SES) is associated with better health and lower use of health care services in the general population. Among immigrants, the relationship appears less consistent. The purpose of this paper is to determine if the relationship between income level (a proxy for SES) and use of primary health care services for mental health problems differs for natives and five immigrant groups in Norway. It also explores the moderating effect of length of stay (LoS) among immigrants.

Using data from two registers with national-level coverage, logistic regression analyses with interactions were carried out to determine the association between income level and having used primary health care services for mental health problems.

For Norwegian men and women there was a clear negative relationship between income and service use. Interaction analyses suggested that the relationship differed for all immigrant groups compared with Norwegians. When stratifying by LoS, income was not associated with service use among recently arrived immigrants but was negatively associated among immigrants staying more than two years (with the exception of Pakistani and Iraqi women).

Country of origin and LoS should be considered when applying measures of SES in immigrant health research.

There may be an initial transition period for recently arrived immigrants where competing factors mask the association between SES and service use.

This study benefits from nationwide coverage, eliminating self-selection biases. It demonstrates the complexity of the relationship between SES and health care use.

Purchasing a home is the largest expenditure many people will make during their lifetime, as well as their greatest source of wealth. There is a homeownership gap between natives and immigrants well documented in the literature. I examine the determinants of homeownership, the value of purchased homes (a measure of potential housing wealth), and the equity owned for those who have purchased a home (a measure of actual housing wealth) for immigrants and natives. When immigrants are separated by citizenship status the homeownership gap between natives and immigrants is shown to be a gap between natives and non-citizen immigrants. Immigrant citizens have ownership outcomes as good or better than natives. Further, the gap reflects a problem in ownership, brought about by age and income distributional differences, not in value or equity for homeowners. All immigrants are predicted to have higher home value and home equity than natives.

This paper aims to present a panel data econometric model of the main determinants of house prices in the ten largest census metropolitan areas (CMA) in Ontario, Canada, for the years 2001, 2006 and 2011. The impact of immigration on the housing market in Canada is little researched; however, immigration plays an important role into the economy of Canada. According to Statistics Canada, not only is immigration key to Canada’s population growth but also without immigration, in the next 20 years, Canada’s population growth will be zero. The motivation for this study is the bursting of housing bubbles in some developed countries (e.g. USA). The authors analyze variables that are related to the immigration policy in Canada, accounting also for the impact of the interest rate, income, unemployment, household size and housing supply to analyze housing price determinants. The study investigates the magnitude of the impact of the top three leading categories of immigrants to Canada, namely, Chinese, Indian and Filipino, on the housing prices in Ontario’s largest cities. The results show the main factors that explain home prices over time that are interest rate, immigration, unemployment rate, household size and income. Over the 10-year period from 2001 to 2011, immigration grew by 400 per cent in Toronto CMA, the largest receiving area in Ontario, while the nonimmigrant population grew by 14 per cent. For Toronto CMA, immigrants, income, unemployment rate and interest rate explain the CA$158,875 average home price increase over the 2001-2011 time period. Out of this, the three categories of immigrants’ share of total home price increase is 54.57 per cent, with the corresponding interest rate share 58.60 per cent and income share 11.32 per cent of the total price growth. Unemployment rate contributes negatively to the housing price and its share of the total price increase is 24.49 per cent.

The framework for the empirical analysis applies the hedonic pricing model theory to housing sales prices for the ten largest CMAs in Ontario over the years 2001-2011. Following Akbari and Aydede (2012) and O’Meara (2015), market clearing in the housing market results in the housing price as a function of several housing attributes. The authors selected the housing attributes based on data availability for the Canadian Census years of 2001, 2006 and 2011 and the variables that have been most used in the literature. The model has the average housing prices as the dependent variable, and the independent variables are: immigrants per dwelling (Chinese, Indian, and Filipino), unemployment rate, average employment income, household size, housing supply and the interest rate. To capture the relative scarcity of dwellings, the independent variable immigrants per dwelling was used.

This study seems to suggest that one cause of high prices in Ontario is large inflows of immigrants together with low mortgage interest rate. The authors focused their attention on Toronto CMA, as it is the main destination of immigrants and comprises the largest cities, including Toronto, Mississauga, Brampton and Oakville. Looking over the 10-year period from 2001 to 2011, the authors can see the factors that impact the home prices in Toronto CMA: immigration, unemployment rate, household size, interest rate and income. Over the period of 10 years from 2001 to 2011, immigrants’ group from China, India and the Philippines account for CA$86,701 increase in the home price (54.57 per cent share of the total increase). Income accounts for CA$17,986 increase in the home price (11.32 per cent share); interest rate accounts for CA$93,103 of the average home price increase in Toronto CMA (58.60 per cent share); and unemployment rate accounts for CA$38,916 decrease in the Toronto average home prices (24.49 per cent share). Household size remain stable over time in Toronto (2.8 average household size) and does not have a contribution to home price change. All these four factors, interest rate, immigrants, unemployment rate and income, together explain CA$158,875 increase in home prices in Toronto CMA between 2001 and 2011.

The housing market price analysis may be more complex, and there may be factors impacting the housing prices extending beyond immigration, interest rate, income and household size. Finally, the results of this paper can be extended to include the most recent census data for the year 2016 to reflect more accurately the price situation in the housing market for Ontario cities.

The fact that currently, in 2017, the young working population cannot afford buying a property in the Toronto CMA area means there is a problem with this market and a corresponding decrease in the quality of life. According to The Globe and Mail (July 2017), a new pool in 2017 suggested that two in five Canadians believe housing in this country is not affordable for them. Further, 38 per cent of respondents who consider themselves middle or upper class believe in no affordability of housing. The Trudeau Government promised Canadians a national housing strategy for affordable housing. Designing a national housing strategy may be challenging because it has to account for the differential income ranges across regions. Municipal leaders are asking the government to prioritize repair and construct new affordable housing. Another reason discussed in the media of the unaffordability of housing in Toronto and Vancouver is foreign buyers. The Canadian Government recently implemented a tax measure on what it may seem the housing bubble problem: foreign buyers. Following Vancouver, in April 2017, Ontario Government imposed a 15 per cent tax on foreign buyers who are not Canadian citizens or permanent residents. This tax is levied on houses purchased in the area stretching from Niagara Region and Greater Toronto to Peterborough.

Few studies use Canadian data to explain house prices and analyze the effect of immigration on housing prices. There is not much research on the effect of the immigrants and immigrants’ ethnicity (e.g., Chinese, Indian and Filipino immigrants), on the housing prices in Canada cities. This study investigates the impact of the most prevalent immigrant races (e.g., from China, India and the Philippines) on housing prices, using data for Canadian major cities in Ontario within a panel data econometric framework. This paper fills this gap and contributes to the literature, which analyzes the determinants of housing prices based on a panel of cities in the Canadian province of Ontario.

Even though Europe has recently undergone a difficult time and is recovering from the aftermath of prevalent unemployment, immigrants are still flocking towards Europe and taking up citizenships of their host countries through naturalisation. The purpose of this paper is to look at the how naturalised immigrants fare in terms of income and employment chances, compared to immigrants.

Using a fuzzy regression discontinuity design and the 2008 European Values Study integrated data set with a final sample of 4,460 observations, this paper isolates the causal effect of naturalisation on the income and employment chances of immigrants by exploiting exogenous variations generated by the eligibility rules for naturalisation in 41 European countries.

Main findings show that the probability of being naturalised increases for eligible immigrants, income and employment chances increase for eligible immigrants, and income and employment chances increase for naturalised immigrants.

This study has a data limitation, where in using the discontinuity design, there is an unbalanced number of observations to the left and right of the design’s threshold value.

There are limited studies using causal models or potential outcome frameworks to examine the effect of immigrant naturalisation on labour market outcomes in Europe. This study fills this gap.

Indian immigrants in the United States and other wealthy countries are successful in entrepreneurship. Using Census data from the three largest developed countries receiving Indian immigrants in the world – the United States, the United Kingdom, and Canada – we examine the performance of Indian entrepreneurs and explanations for their success. We find that business income of Indian entrepreneurs in the United States is substantially higher than the national average and is higher than for any other immigrant group. Approximately half of the average difference in income between Indian entrepreneurs and the national average is explained by their high levels of education while industry differences explain an additional 10 percent. In Canada, Indian entrepreneurs have average earnings slightly below the national average but are more likely to hire employees, as are their counterparts in the United States and the United Kingdom. The Indian educational advantage is smaller in Canada and the United Kingdom, contributing less to their entrepreneurial success.

Large numbers of Northern European retirees have migrated to Southern European countries. A relevant part of this migration is not driven by work purposes but rather the desire to establish residence in a warmer country. These migrants come from different countries and exhibit diverse socioeconomic characteristics and preferences, including varying income levels, housing tastes and cultural habits, which could potentially influence the housing market in their host countries. This paper aims to examine the permanent impact of retiree migrant flows on house prices in Alicante, Spain, from 1988 to 2019, explicitly considering the impact related to the country of origin.

This paper examines the permanent impact of retiree migrant flows on house prices in Alicante, Spain, from 1988 to 2019, explicitly considering the impact related to the country of origin using panel cointegration – Dynamic Ordinary Least Squared (DOLS) models.

Results indicate that the long-term relationship captures the entire effect on house price change and that prices react immediately to the immigrants' presence with permanent effects. The results also suggest that the strong retiree migration flow created a shock in the housing market with different effects on house prices related to the immigrants' country of origin. The model identifies that when income growth in the origin country is slower than in Spain it has a major impact on house prices. When purchasing capacity is larger in Alicante than in the origin country it exerts a stronger effect on housing prices. Retiree migration flow has permanent effect on housing market prices.

Results indicate several ways to act on social and housing policies in specific cities in Alicante province, as well as in the origin countries, to alleviate potential disadvantages faced by expatriate retirees.

This paper finds evidence of the specific impact of international retiree migrants on the hosting housing market. This study is the first paper that can estimate the specific effect on housing prices from a flow of retiree migrants by country of origin.