Volume 20, Issue 1 pp. 81-94
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Brain Drain, Fiscal Competition, and Public Education Expenditure

Hartmut Egger

Corresponding Author

Hartmut Egger

University of Bayreuth, Universitaetsstr. 30, 95447 Bayreuth, Germany and GEP, Nottingham, UK; CESifo, Munich, and IW, Kiel, Germany

Egger (corresponding author): University of Bayreuth, Universitaetsstr. 30, 95447 Bayreuth, Germany and GEP, Nottingham, UK; CESifo, Munich, and IW, Kiel, Germany. Tel: +49-921-55-2906; Fax: +49-921-55-842905, E-mail: [email protected]. Falkinger: University of Zurich, Zurichbergstr. 14, 8049 Zurich, Switzerland, and CESifo, Munich, and Institute for the Study of Labor (IZA), Bonn, Germany. Tel: +41-44-634-2290, Fax: +41-44-634-4996, E-mail: [email protected]. Grossmann: University of Fribourg, Bd. de P_erolles 90, 1700 Fribourg, Switzerland, and CESifo, Munich, and Institute for the Study of Labor (IZA), Bonn, Germany. Tel: +41-26-300-8266, Fax: +41-26-300-9678, E-mail: [email protected].Search for more papers by this author
Josef Falkinger

Josef Falkinger

University of Zurich, Zurichbergstr. 14, 8049 Zurich, Switzerland, and CESifo, Munich, and Institute for the Study of Labor (IZA), Bonn, Germany

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Volker Grossmann

Volker Grossmann

University of Fribourg, Bd. de P_erolles 90, 1700 Fribourg, Switzerland, and CESifo, Munich, and Institute for the Study of Labor (IZA), Bonn, Germany

The authors wish to thank two anonymous referees, Frédéric Doquier, Maurice Schiff, David Stadelmann, Fabrizio Zilibotti, Josef Zweimüller, as well as participants at the conference on “Immigration: Impacts, Integration and Intergenerational Issues” at University College London, the Annual Meeting of the German Economic Association in Munich, and the “2nd International Migration and Development Conference” in Washington DC (World Bank) for helpful comments and suggestions.

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First published: 16 January 2012
Citations: 8

Abstract

A two-country model is developed in this paper to examine the implications of fiscal competition in public education expenditure under international mobility of high-skilled labor. The authors allow for educational choice, asymmetry of countries with respect to total factor productivity, and tax base effects of migration in source and host country. As the latter may give rise to multiplicity of equilibrium, alternative belief structures of mobile high-skilled workers are carefully taken into account. The paper also looks at the consequences of bilateral policy coordination. While in line with other studies on tax competition, bilateral coordination can reduce the under-investment problem in public education spending, it also tends to hinder migration or may even reverse the direction of the migration flow that materializes under non-cooperative policy setting. As a result of its potentially adverse effects on migration patterns, bilateral coordination may therefore reduce global welfare and bring the world economy further away from the social planner's solution.

1. Introduction

Skilled labor has become increasingly mobile. The bulk of skilled immigrants acquired publicly financed education in their home country.1 This potentially creates severe problems in the source countries of migrants and the consequence may be detrimental fiscal competition, with countries underinvesting in higher education in order to avoid brain drain and to attract high-skilled foreign immigrants (Justman and Thisse, 1997, 2000). This raises the question whether policy coordination could improve social welfare when skilled labor is mobile and how it changes the migration flows.2

In this paper, we develop and analyze a two-country model to examine the implications of fiscal competition in public education expenditures under international mobility of high-skilled labor. To capture the idea of higher education (instead of basic, compulsory education), we model education as the outcome of individual choice. With education being publicly financed, our model generates “agglomeration” effects from migration on the tax base in both source and host country; that is, higher emigration reduces the tax base in the source country and increases it in the host country, thereby further reinforcing migration incentives.3 Because of the existence of agglomeration effects, it may be the case that, for given public spending levels and depending on the belief structure in the economy, migration may or may not occur in equilibrium, thereby potentially creating the problem of multiplicity of equilibria. We carefully address the issue in our analysis in a way which may be useful also in other political games with multiple equilibria.

Motivated by the recent endeavor in Europe to reach a higher degree of coordination in tertiary education (for instance, because of the Bologna process), we study potential gains from coordinated policy setting in the context of public education and international migration. We analyze the behavior of cooperative governments which aim to maximize the aggregate welfare of non-migrants (with transfers across countries to compensate losers), whereas a social planner would also consider the utility of migrants. The justification for this approach is that national governments target the median voter in their country, who is most likely a non-migrant. We show that from the perspective of a utilitarian social planner, bilateral coordination of education policies does not necessarily solve the problem arising from fiscal competition. On the one hand, bilateral coordination tends to increase public education expenditure compared to the non-cooperative levels. On the other hand, however, bilaterally coordinated policies have consequences for the desired migration pattern. While coordination favors non-migration, the social planner may prefer brain drain in order to extract migration gains. In fact, we demonstrate that an endeavor to stop migration through a bilateral contract may even reduce welfare compared to a non-cooperative equilibrium. Moreover, we show that policy coordination may not always be successful in preventing brain drain, depending on the belief structure and migration costs. In this case, government cooperation may reverse the direction of the migration flow compared to both non-cooperative policy setting and the social optimum.

The remainder of the paper is organized as follows. Section 2 presents the model. Section 3 analyzes the equilibrium for a given public education policy. In section 4, we examine how governments have to adjust their education expenditure in order to avoid brain drain when labor market integration reduces migration costs for high-skilled workers. Section 5 analyzes non-cooperative policy setting. In section 6 we explore the consequences of cooperation between governments for public education expenditure and migration patterns; these patterns are compared with both non-cooperative policy setting and the social planner solution. The last section presents our conclusions. Owing to space constraints, we do not present formal proofs of lemmata and propositions in this paper but refer the interested reader to the working paper version of our manuscript in Egger et al. (2007).

2. The Model

Consider two open economies indexed H and F (“home” and “foreign”) with two types of labor. High-skilled workers (at least a certain share of them) are mobile and look for the best income possibilities in the two economies. In contrast, the labor markets for low-skilled workers are internationally segmented.4 The two types of labor are used to manufacture a single homogenous (numéraire) good, Yj, j = H, F, according to
image(1)
where Aj > 0 and β ∈ (0, 1). Sj, Lj are efficiency units of high-skilled and low-skilled labor in j = H, F. Aj denotes total factor productivity in country j.

In either country, there is a unit mass of workers, indexed i ∈ [0, 1], who make two decisions: first, whether or not to acquire higher education; and, second, if high-skilled, whether or not to migrate to the other country in order to live and work there. Individuals take the migration decision into account when deciding whether or not to acquire education. That is, individuals are aware of earning opportunities abroad as well as at home. They are endowed with one unit of time. Acquisition of education requires ē ∈ [0, 1) units of time, so that 1 − ē is the residual working time of an educated individual.

Utility of an individual i living at home is simply given by the level of consumption, C(i). Living abroad implies that utility is given by a discounted value of consumption which reflects the social costs of living in a foreign environment. Formally, the utility of migrant i is given by C(i)/(1 + θa(i)), where a(i) = 1 for a mass q ∈ (0, 1) of high-skilled workers and a(i) prohibitively high for the rest of them.5 Parameter θ reflects the degree of international integration. A decline in θ means a more mobile high-skilled labor force.

An individual without higher education supplies one efficiency unit of low-skilled labor, so that employment Lj is equal to the mass of low-skilled workers in country j. The efficiency units of high-skilled labor supplied by an educated worker depend on the quality of the education system, which is determined by the level of local public education expenditure Gj. An individual born in country j acquires Gj units of high-skilled labor if he/she chooses education. Let sj = 1 − Lj denote the mass of educated workers and µj(µk) denote the mass of high-skilled workers educated in j(k) who migrate to country k ≠ j (j ≠ k). Then the total amount of efficiency units of high-skilled labor employed in country j = H, F is given by
image(2)

3. Equilibrium Patterns of Brain Drain

Let inline image and inline image denote country j's wage rate per efficiency unit of high-skilled and low-skilled labor, respectively. Education is financed by a proportional wage income tax, with tax rate τj ∈ [0,1) in j = H, F. Then, the consumption of a native individual from H is given by
image(3)
A worker who stays in her/his country of birth must be indifferent as to the choice between acquiring education or remaining low skilled in equilibrium. According to (3), this implies that
image(4)
where inline image is the relative wage rate of high-skilled to low-skilled labor in country H in terms of efficiency units.6 For the migration decision of high-skilled individuals, consumption level inline image when staying at home has to be compared with the discounted consumption level when migrating, inline image. A high-skilled worker born and educated in H moves to F if and only if
image(5)
Condition (5) implies that migration can go only in one direction. Thus, either µH ≥ 0 and µF = 0, or µH = 0 and µF ≥ 0 in the following analysis.
Lemma 1. Let b ≡ ββ(1 − β)1−β. The net wage in country j = H, F is positive if
image(6)
Moreover, for µH ≥ 0, µF = 0, inline image, inline image, and the relative net wage is given by:
image(7)
χH(µH) is increasing in µH and GH, while decreasing in GF.

The further analysis assumes that Gj is smaller than the exogenous level inline image, j = H, F. Thus, as q is the maximal emigration rate, condition (6) is satisfied. χH(µH) represents the incentives to migrate from H to F, which—according to (5)—have to be compared with the cost 1 + θ. For µH = 0, µF ≥ 0, an analogous expression χF(µF) describes the incentives to migrate from F to H.

As migrants take their education level with them to the foreign country, the (relative) wage rate per efficiency unit of skilled labor is decisive for the migration decision. However, the wage per efficiency unit in H, inline image, is decreasing in GH. The reason is that higher education finance raises the supply of skills for a given fraction of individuals that choose higher education. Thus, an increase in GH makes the home country more prone to brain drain. Furthermore, the government in H must increase its tax revenues in order to finance the additional expenditures associated with an increase in GH. While in an economy without migration the tax burden per efficiency unit of high-skilled workers, inline image, stays constant when the government increases GH, the resepective burden rises from φ to φ/(1 − µH) if there is brain drain from H to F, that is, if µH > 0 and µF = 0. The tax payment per efficiency unit of high-skilled labor in F is φ/(1 + µHGH/GF). Inflow µH of high-skilled labor from H broadens F's tax base so that the tax burden per individual declines. Thus, the tax channel strengthens the incentives of high-skilled workers to leave H, and it generates agglomeration effects in favor of the receiver country.

Figure 1 shows χH(µH) and χF(µF) for given levels of productivity and education expenditure. Without loss of generality, GH/GF ≥ (AH/AF)1/(1−β) is assumed. (Note that the roles of H and F can be exchanged in the following discussion.) χH(µH) is an increasing function of µH, which starts at
image(8)
and goes to infinity as µH approaches mH ≡ 1 − φβ(GH)1−β/(bAH). Function χF(µF) starts at χF(0) = 1/χH(0) > 0 and approaches infinity as µF approaches mF ≡ 1 − φβ(GF)1−β/(bAF). At mj, j = H, F, brain drain would erode j's tax base so that financing Gj would become unfeasible. Condition inline image implies µj ≤ q < mj and thus restricts the analysis to feasible education levels.
Details are in the caption following the image

Migration Incentives and Migration Equilibria: GH/GF (AH/AF)1/(1−β)

Comparing the returns to migration to the cost of working in a foreign country, we see that the following patterns of brain drain hold in equilibrium. If migration costs are high (1 + θ″ in Figure 1), then χj(µj) ≤ χj(q) < 1 + θ″ for all µj ≤ q. Thus, according to (5), no educated worker will leave his/her home country and only non-migration can hold in equilibrium in this case. At cost 1 + θ′, non-migration is still an equilibrium since χF(0) < χH(0) < 1 + θ′. However, inline image and BH are also equilibria. At inline image, individuals are indifferent as to whether they will work abroad or in their home country, but any deviation to the left eliminates migration (χH(µH) < 1 + θ′ for inline image), whereas any deviation to the right induces more migration (χH(µH) > 1 + θ′ for inline image). We call such an equilibrium unstable. In contrast, BH is a stable equilibrium since χH(q) > 1 + θ′ and all mobile workers have gone from H to F. If migration costs diminish further, migration from F to H can also be an equilibrium. For instance, at cost 1 + θ, we have an unstable equilibrium inline image and a stable equilibrium BF, in addition to equilibrium BH. Throughout the following analysis, we focus on the stable equilibria, that is, either µH = µF = 0, µH = q, or µF = q.

In the next section, we examine for given education policies GH, GF whether a non-migration equilibrium can be sustained when international labor markets for high-skilled workers become more integrated. We also explain how we deal with policy combinations that give rise to multiple migration equilibria.

4. Opening up the Labor Market for Given Policy

Suppose that up to now, high-skilled workers have worked where they were educated. As in Figure 1, let χF(0) < χH(0). Now suppose migration costs decline from θ″ to θ (such that χH(0) > 1 + θ > χF(0)). In this case, as χH is increasing in GH, domestic education policy is too ambitious relative to total factor productivity and mobile high-skilled workers of country H benefit from leaving their home country and working abroad. The resulting brain drain from H to F has detrimental consequences for immobile workers in H, whose tax burden increases. Therefore, a crucial question facing national policymakers is how education expenditure can be adjusted in order to prevent this brain drain.

If θ approaches zero, an outcome without migration is feasible only if countries H and F choose their policies in such a way that χH(0) = χF(0) = 1. In this case, locations H and F are equally attractive for high-skilled workers. According to (7), this requires GH/GF = (AH/AF)1/(1−β). In Figure 2, line EA with slope (AH/AF)1/(1−β) represents the locus of equal attractiveness.

Details are in the caption following the image

Scope for Policy

An outcome with µH = 0 requires 1 + θ ≥ χH(0). Using (8), this gives us the following constraint:
image(9)
with
image
Condition (9) defines the set of policy combinations that are consistent with µH = 0. The bound of this set is the incentive constraint for non-migration, represented by inline image in Figure 2. According to (6), (GF)1−β < bAF/φβ. Thus, for θ > 0, inline image and inline image lies above the EA line. Moreover, as GF increases, inline image decreases from (1 + θ)1/(1−β), for GF = 0, to one, for inline image (use (6)). This explains the concave shape of inline image as shown in Figure 2.

Policy combinations on line inline image fulfill the condition that χH(0) = 1 + θ and, therefore, render mobile high-skilled workers indifferent as to whether they should stay at home or work abroad. inline image describes country H's scope for µH = 0 supporting policy. When θ declines, the scope for raising education expenditure above the EA line narrows. To determine which policy combinations are consistent with µF = 0, we have added locus inline image in Figure 2. The set of policy combinations that are consistent with non-migration is bounded by inline image and inline image.

But do governments really succeed in preventing brain drain by choosing policy combinations in the lens bounded by inline image and inline image? We know from Figure 1 that—because of the agglomeration effects of brain drain—the equilibrium migration pattern is not necessarily unique. This implies that certain policy combinations in the lens bounded by the two incentive constraints inline image and inline image, although consistent with non-migration, may be consistent with brain drain as well, say from H to F. To determine the policy domain associated with multiple migration patterns, we consider the constraint for policy combinations that prevent brain drain from H to F. This constraint is given by χH(q) ≤ 1 + θ. In analogy to (9), it can be written in the form
image(10)
with
image
and η ≡ (1 + θ)/(1 − q) − (1 + qGH/GF)−1θ. For any GF, inline image. The upper bound of policy combinations preventing brain drain from H to F is represented by the curve IHF in Figure 2. Since inline image, the incentive constraint IHF lies below the incentive constraint inline image. Only relatively strong expenditure and tax cuts in the source country can outweigh the agglomeration advantages of the receiver country. Like inline image, the incentive constraint IHF rotates downward when migration costs decline: inline image (see Egger et al., 2007).

Policy pairs in the region bounded by inline image and IHF are associated with multiple migration patterns. This multiplicity of migration equilibria constitutes a problem for the characterization of optimal non-cooperative education policies in Section 5. The reason is that national governments base their expenditure decisions on certain expectations concerning the equilibrium migration pattern. However, it is not clear how these expectations are formed if multiple migration patterns are possible. To overcome this problem, we introduce a selection criterion that is based on a publicly known (and identical) belief of mobile high-skilled workers about the equilibrium (µH, µF) pattern.

We distinguish between two types of beliefs. As the baseline scenario, we consider “stay-home beliefs”. Under stay-home beliefs, mobile high-skilled workers do not migrate whenever an outcome with µH = µF = 0 is consistent with rational behavior. In this case, the the scope for policies avoiding brain drain from H to F is given by inline image, that is, (9) is the relevant constraint. In addition to the baseline case of stay-home beliefs, we also consider the alternative case that migration decisions are based on “go-abroad beliefs”. Under go-abroad beliefs, mobile high-skilled workers migrate from H to F whenever µH = q, µF = 0 is consistent with rational behavior. In this case, mobile high-skilled workers of country H anticipate the agglomeration effects of migration and the scope for policies avoiding brain drain from H to F shrinks from inline image to inline image, that is, (10) instead of (9) becomes the relevant constraint.

5. National Education Policies

In order to shed light on optimal education policies from a national point of view, we first have to specify the national policy goal. Under the reasonable assumption that the median voter does not migrate, the workers who stay are decisive for national governments. Therefore, we look at the impact of Gj on the low-skilled workers and on the high-skilled workers who work in j. By virtue of (3) and (4), the consumption levels of the low-skilled and the non-migrating high-skilled workers are identical and given by net wage inline image. Thus, we can take Wj as an objective function of the government.

Lemma 2. The net wage of residents in j is given by
image(11)

For any given µj, µk ∈ [0,q], objective function Wj has a unique maximum atinline image, j ≠ k. We have (i)inline image, (ii)inline image, and (iii)inline imageif µk > 0, elseinline image. Moreover, (iv)inline image.

For any given migration pattern, Lemma 2 characterizes j's best reply to policy Gk. We use the following notation: inline image denotes j's best reply function conditional on non-migration, while inline image is j's best reply function conditional on brain drain from j to k. However, the best reply functions determined in Lemma 2 are not necessarily consistent with the incentive constraints of mobile high-skilled workers. If an incentive constraint is binding, education expenditure has to be adjusted in order to sustain the assumed migration pattern. Hence, migration incentives limit the scope of national education policy.

Furthermore, a country may have an incentive to undercut education expenditures that are optimal for a certain migration pattern in order to shift brain drain in its own favor. The costs of deviating from optimal adaptation to a given migration pattern as well as the benefits of changing the pattern of migration can be evaluated by comparing the net wage function Wj for different µj, µk constellations. Figure 3 illustrates for the three possible equilibria identified in section 3 the objective function WH and the best responses of H to a given foreign education policy. Subscripts H → F, 0, F → H refer to migration from H to F, non-migration, and migration from F to H, respectively.

Details are in the caption following the image

Optimal Education Policies for Different Migration Patterns and Deviation Incentives

The ranking inline image follows from (11), and inline image follows from Lemma 2. Figure 3 shows that deviation from inline image within range (inline image, inline image) would be beneficial if such a deviation induced a switch from non-migration to brain drain from F to H. Analogous bounds inline image, inline image for attractive deviations exist to the left of inline image. If H succeeds in preventing the outflow of high-skilled labor (or even induces inflow from F) by lowering GH to below GHF, this is beneficial as long as GH remains within the range marked by inline image (inline image, respectively). Since, according to (11), an increase in GF moves the WH curve for µH = 0, µF = q upward, whereas the WH curves for (µH, µF) ∈ {(0, 0), (q, 0)} are unaffected, inline image and inline image are decreasing in GF, while inline image is constant.

As outlined in detail in the working paper version of this manuscript, Egger, et al. (2007), the outcome of the policy game (in pure strategies) depends on the belief structure and it is inconsistent with a binding incentive constraint of mobile high-skilled workers. Let us first consider the case of stay-home beliefs. In this case, only a policy pair with inline image—and thus non-migration—is consistent with a best response of both governments.7Figure 4 shows the relevant deviation bound inline image from conditional equilibrium policy inline image. Deviation successfully triggers brain drain from F to H if incentive constraint inline image is crossed. Thus, for high migration costs (θ2), the shaded area DC (“deviation cone”) to the right of intersection point T0 describes the range of deviations from inline image that change the pattern of migration in favor of H and increase WH. There is no policy GH such that inline image. Thus, for θ2, H will not deviate from inline image and N0 is an equilibrium under rational policy setting. However, if migration cost θ decreases, incentive constraint inline image moves closer to the EA line. If θ is sufficiently low (θ1), we have an incentive constraint which intersects inline image at a point (inline image) to the left of inline image. Then the deviation cone DC′ contains (inline image, GH), for some GH and H will deviate from inline image. Hence, for sufficiently low migration costs, non-migration cannot be sustained in a Nash equilibrium under rational policy setting.

Details are in the caption following the image

Deviation Cones (DC) from Conditional Non-migration Equilibrium (θ1, θ2)

Under go-abroad beliefs, both inline image as well as inline image, with inline image,inline image being determined by the intersection of best response function inline image, inline image in (GH,GF) space, are candidates for a non-cooperative equilibrium of rational governments. For N0, the deviation incentives are analogous to the situation discussed for stay-home beliefs. If N1 is realized, then the question is: Will H deviate from conditional best reply inline image to change the pattern of migration in its favor? If H wants to avoid brain drain from H to F, it must cross incentive constraint IHF. Figure 5 shows constraints IHF as well as deviation bound inline image (which is independent of GF) for two values of migration costs θ1, inline image, with inline image. While IHF rotates downward when θ declines, conditional best replies and deviation bounds do not vary with θ.

Details are in the caption following the image

Deviation Cones for Return Migration ( inline image)

If migration costs are sufficiently low (inline image), country H has no possibility to reach the relevant deviation cone (inline image) by deviating from inline image. Given that high-skilled migrants suffer a low burden as a result of working abroad, the expenditure and tax cuts required to prevent migration are too high to be an attractive option for H. In contrast, if the burden of working abroad were more severe (θ1), then it would be in H's national interest to induce migrants to stay at home by deviating from N1 to DC1, that is, by reducing education expenditure.8

Summarizing the insights from above, we can formulate the following proposition.

Proposition 1. A non-cooperative equilibrium (in pure strategies) may not exist. In particular, if θ is sufficiently low, an equilibrium without migration is excluded. Furthermore, an equilibrium with brain drain requires that individual migration decisions are based on go-abroad beliefs and that θ is sufficiently low.

6. Coordination of National Policies

Facing the results from section 5, the national governments in H and F can examine whether bilateral coordination of public education expenditure paired with transfer payments between the two countries is beneficial for the median voters represented by immobile workers. Formally, bilateral coordination means that the two countries H and F agree to choose education policies GH, GF that maximize the sum of the net income levels of the median voters
image(12)
subject to the incentive constraints of mobile workers and subject to the national budget constraints.9 The main results for coordinated policies are summarized in the following proposition.

Proposition 2. For any given education policies GH, GF > 0, Wc is higher at µj = µk = 0 than at µj = q, µk = 0, j  k ∈ {H, F}. The optimal bilateral contract depends on the beliefs of mobile high-skilled workers. (i) Under stay-home beliefs, the optimal bilateral contract supports non-migration by coordinating oninline image, inline image. (ii) Under go-abroad beliefs, policiesinline image, inline imageare not optimal if migration costs θ are sufficiently low. In this case, governments may want to coordinate on policies that trigger brain drain. (iii) If non-cooperative policy setting of rational governments leads to an equilibrium with brain drain, then coordination increases Wc and the direction of brain drain may be reversed.

The proposition shows that national governments that serve the interests of the workers who stay in their country have a preference for non-migration. The reason is that even though the median voter in the host country of migrated labor would gain, this gain is lower than the loss suffered by the median voter in the source country. Therefore, the country threatened by losses from brain drain is willing to pay the other country for not triggering the drain.

If mobile high-skilled workers base their migration decision on stay-home beliefs, coordination definitely supports non-migration. This may or may not require signing a contract. If non-migration is also the outcome of non-cooperative education policies, there is no role for coordination because the best contract would just reproduce the non-cooperative solution. However, according to Proposition 1, reduced migration costs tend to provoke fiscal competition for foreign high-skilled workers. In this case, bilateral coordination has the role of preventing fiscal competition for high-skilled labor and is definitely in the interest of the national median voters.

If migration decisions are based on go-abroad beliefs, coordinating on inline image, inline image may be less successful in establishing an equilibrium without migration. However, a bilateral contract can stop the possibly ongoing struggle for mobile high-skilled workers under non-cooperative policy setting. Furthermore, if non-cooperative policy setting leads to an equilibrium with brain drain from H to F, bilateral coordination is definitely beneficial for the national median voters. The coordination may imply education policies that reverse the direction of brain drain, leading to a factor flow from F to H. This result may be surprising at first glance because non-migration is the preferred pattern under bilateral coordination. However, non-migration is possibly inconsistent with the optimal bilateral agreements that satisfy the incentive constraints for mobile high-skilled workers.

The bilateral coordination perspective considered here must be clearly distinguished from the social planner solution. National governments care about the utility of median voters but ignore the gains of migrants. In the following, we compare education policies implemented by a utilitarian social planner with the contract resulting from bilateral coordination of education policies.

One can show that a utilitarian social planner chooses education policies in such a way that
image(13)
is maximized, subject to the incentive constraints of mobile high-skilled workers and the budget constraints of governments. For given education policies, SW is not necessarily higher at µj = µk = 0 than at µj > 0, µk = 0, j ≠ k ∈ {H, F}. The outcome of this comparison depends on the size of migration gains µjWj[χj/(1 + θ) − 1], which are part of SW in (13), but are not considered in the Wc-maximizing contract. Hence, the social planner is more likely to opt for a migration equilibrium in order to reap the migration gains of mobile high-skilled labor.

In the working paper version of this manuscript, we undertake two numerical simulation exercises in order to shed further light on how the social planner solution deviates from non-cooperative policies and the bilateral contract. However, in the interest of brevity, we do not present these exercises here. Instead, we summarize the main insights from these exercises as follows and refer the reader, who is interested in further details, to Egger et al. (2007):

Proposition 3. Bilateral coordination can help to increase public education expenditure to above suboptimal non-cooperative levels. Moreover, it is useful for overcoming an ongoing battle for mobile high-skilled workers. However, (i) bilateral coordination is biased toward non-migration, and (ii) it may reverse the direction of brain drain compared to both the non-cooperative policy game and the social planner solution; (iii) from a social planner's point of view, non-cooperative education policies can be better than bilateral coordination.

7. Concluding Remarks

This paper aimed at shedding light on opportunities of and incentives for national governments to provide public finance for higher education and to compete for educated workers. For this purpose we analyzed a simple two-country model in which countries may differ in TFP and where brain drain has agglomeration effects because it affects the tax base in both source and receiver country. Within this framework, we compared public education expenditure levels, migration patterns, and welfare in non-cooperative political equilibria with the outcomes under bilateral coordination and the social planner solution. As a key result we found that bilateral coordination can reduce the under-investment problem in public education spending but at the same time it tends to hinder migration or may even reverse the direction of the migration flow that materializes under non-cooperative policy setting. Because of its potentially adverse effects on migration patterns, bilateral coordination may therefore reduce global welfare and bring the world economy further away from the social planner's solution.

In the interest of analytical tractability, we had to impose several simplifying assumptions which might limit the practical relevance of our analysis. For instance, we have ignored intertemporal externalities from migration of high-skilled labor—such as changes in productivity. Furthermore, we have not allowed for other forms of policy coordination, like international agreements on taxing graduates.10 While both of these extensions would be worthwhile to consider in our framework, they are clearly beyond the scope of this paper.

Notes

  • 1 In most advanced countries, the bulk of higher education is indeed financed by the public sector. In 2005, the average share of public expenditure for tertiary education within the Organisation for Economic Cooperation and Development (OECD) and the group of 19 European Union countries (EU19) was 73.1% and 82.5%, respectively ((OECD), 2008, Table B3.2b).
  • 2 Policy coordination in higher education has been a major priority in the EU. On the one hand, the recent reforms of national university programs that aim at establishing a uniform European Bachelor/Master system (“Bologna process”) are an important step towards stronger coordination in tertiary education policies in Europe. On the other hand, these efforts have been accompanied by a discussion about measures to smooth the risk of brain drain. For instance, the Council of Europe (1995) has recommended that in order to “strengthen higher education and . . . diminish the risk of brain drain, countries are strongly encouraged to . . . develop structured programmes of European and regional, bilateral and multilateral cooperation at government level.”
  • 3 Even though the fiscal externality is highly relevant (see Lucas, 2005, ch. 4), there may of course be other externalities that generate agglomeration effects. For instance, Schiff (2004) argued that the loss of social capital constitutes a key negative externality in the source country of emigration. Borjas (1995) pointed to positive externalities of immigration owing to its positive effect on market size and productivity in the destination country. Carrington et al. (1996) argued that emigration exhibits a positive externality as it reduces migration cots for subsequent migrants.
  • 4 That low-skilled workers are immobile is a standard assumption in the brain drain literature (see Chau and Stark, 1999), even though a few recent studies on the matter allowed for simultaneous migration of both high-skilled and low-skilled workers at differing intensities (see Bellettini and Berti Ceroni, 2007).
  • 5 Restricting the analysis to two types of individuals with respect to migration costs greatly simplifies the analysis. However, the main insights from our analysis would remain the same if more than two types of agents were taken into account. The assumption that not all high-skilled workers can emigrate (q < 1) is standard in the migration literature and it guarantees that the mass of educated workers is higher than the mass of high-skilled emigrants so that production does not entirely break down in the source country of emigration.
  • 6 By assuming (4), we exclude the case of countries with zero higher education from the analytical discussion. For further discussion on this issue, see our working paper Egger et al. (2007).
  • 7 Under stay-home beliefs of mobile high-skilled workers there is no brain drain from H to F if both governments choose polices in accordance with their best responses inline image, inline image. Hence, a pure strategy equilibrium with migration is inconsistent with stay-home beliefs.
  • 8 Apart from avoiding an outflow of high-skilled workers, country H could choose an education policy that leads to reversed brain drain and attracts high-skilled workers educated in F. This case is discussed in the working paper version of this manuscript: Egger et al. (2007).
  • 9 We focus on transfer payments that do not affect the migration decision.
  • 10 See Poutvaara (2004, 2008) for a discussion.
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