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A simulation analysis of the longer-term effects of immigration on per capita income in an aging population

                                      Fitzgerald and Riley, 2010; Denton and Spencer, 2000; Kahanec and Zimmerman, 2008;
                                      Lee and Mason, 2011; Masson and Tryon, 1990), the fiscal positions of governments
                                      (Auerbach and Oreopoulos, 2000; Bonin, Raffelhuschen, Walliser et al., 2000; Dustmann,
                                      Frattini, Halls et al., 2010; Lee and Miller, 2000; Rowthorn, 2008; Storesletten, 2000), and
                                      more particularly to the sustainability of publicly-financed pension and health care pro-
                                      grams (Alonso, 2009; Anderson and Hussey, 2000; Scherbov, Sanderson, Mamolo et al.,
                                      2014). Others have been concerned with possible undesirable effects of immigration on the
                                      incomes and employment of the domestic population (Borjas, 2003; Brücker and Jahn,
                                      2009; Card, 2009, 2012; Dustmann, Fabbri and Preston, 2005, 2013; Friedberg and Hunt,
                                      1995; Jean and Jiménez, 2010; Longhi et al., 2005; Okkerse, 2008; Ottaviano and Peri,
                                      2007; Peri, 2012; Ruhs and Vargas-Silva, 2014) and on the distribution of government
                                      transfer payments as between immigrants and non-immigrants (Blanchflower and Shad-
                                      forth, 2009; Kerr and Kerr, 2011).
                                        Much  of the economic literature on  immigration  and  aging has been  concerned with
                                      shorter or medium-term effects. Our paper on the other hand is concerned with the longer
                                      term, in particular the longer-term effects of immigration on a host country’s national in-
                                      come per capita. Immigrants of working age increase the size of the labour force and add
                                      to the national product. But they and their dependents add also to the overall population,
                                      viewed as consumers, and thus affect both the numerator and denominator in the per capita
                                      calculation. Moreover, once in the country, immigrants have dependent children, age, and
                                      eventually themselves become elderly dependents. The effects on the host country’s aver-
                                      age income level, especially longer-term effects, may not be at all obvious without taking
                                      into account the demographic dynamics of immigration and its interaction with the host
                                      country’s population.
                                        We construct a theoretical model for a country with an aging population and assume an
                                      infinite supply of potential immigrants. The country, which we call Alpha, is fictitious and
                                      generic. We model its income generating process in as simple a fashion as possible for our
                                      purposes, calibrate the model, and use it in a series of simulation experiments in which we
                                      consider alternative immigration strategies and related issues of productivity, fertility rates,
                                      mortality reductions, and labour force participation rates of the older population. We use
                                      actual data as a basis for calibration but emphasize that the model is theoretical; it does not
                                      represent any actual country but in broad terms shares the demographic characteristics of
                                      many industrialized countries.

                                      2. Methods

                                      2.1 The Setting

                                      The mythical country of Alpha is our “laboratory”. For simplicity, the population of Alpha
                                      is divided into five  broad age groups, corresponding to intervals of 20  years: Children
                                      (0–19), Young Adults (20–39), Middle Aged (40–59), Seniors (60–79), and Aged (80–99);
                                      there are no survivors beyond 99. It is convenient to refer to each age group and each cor-
                                      responding time interval as a generation. All Children are born to the generation of Young
                                      Adult women; the fertility rate for that group is thus identical to the total fertility rate. La-
                                      bour force participation is confined to the Young Adult, Middle Aged, and (in much lesser
                                      degree) Senior age groups; Children and the Aged have no participation.
                                        Time in Alpha is measured in generations indexed by t. The population at t = 0 has an
                                      important characteristic, a “bulge” in the age distribution inherited from an earlier period
                                      of very high fertility — a “baby boom”. The “baby boom” occurred roughly two genera-
                                      tions earlier (at t = −2) and was followed by a “baby bust” — a sharp reduction in fertility

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