REGIONAL COOPERATION AND ECONOMIC INTEGRATION

REGIONAL COOPERATION AND ECONOMIC INTEGRATION REGIONAL COOPERATION AND ECONOMIC INTEGRATION

25.12.2014 Views

their mass and inversely proportional to the distance which separates them. In its basic form, the gravity model states that foreign trade between two countries is a positive function of their GDP as a proxy variable for their respective supply (conditions in the source country) and demand (conditions in the host country), and a negative function of the distance between two countries as a proxy variable for transportation costs. Thus the basic model has following form: (1) If the basic explanatory variables of the gravity equation are distance and economic size, then theory allows the inclusion of many variables that may explain trade flows between two observed countries, such as GDP per capita, foreign direct investment, exchange rate volatility as well as dummies for similar languages, common border and free trade agreements. The gravity model has gained theoretical foundations due to the development of new theories of international trade, which assume imperfect competition. Helpman and Krugman (1985) propose a formalization of the gravity equation in which intra and interindustry trade approaches are reconsidered. The Bergstrand (1989) model represents an extension of the Helpman and Krugman model, taking into account the supply and demand functions of trade flows. 1.2. Literature overview SOME ASPECTS OF TRADE STATISTICS AND REPORTING Empirical studies consistently identify GDP per capita differences and size differences between sending and receiving countries as key drivers of migration between nations, and indicate that economic theory does not provide a fully satisfactory model for analysing the causes and effects of migration. This discrepancy between empirical studies and theory has led to the coexistence of several interdisciplinary approaches which are presented in more detail in Hatton and Williamson’s (2005) work. For instance the so-called macroeconomic theories in the neo-classical tradition explain migration by looking at skill differences in the labour supply and demand between two observed countries as well as the differences in their wages, while microeconomic theories try to explain the migration incentives of the individuals involved through cost-benefit deliberations based on lifecycle income and taking into account investment in human capital. 6 The so-called world dual labour theory explains international migration by means of push and pull factors, where the pull factors represent the following four characteristics of modern industrial society: structural wage inflation, lack of motivation for lowstatus jobs, economic dualism between a human capital-intensive core workforce and a peripheral workforce, and demographic trends in labour supply. Similarly, other new theories assume that the decision to migrate is taken on the family level rather than by individuals. The objective of migration is the collective maximization of the income in absolute and relative terms in comparison with reference families or neighbours as well as risk minimization under conditions of undeveloped insurance markets. Thus Hatton and Williamson’s book presents a synthesis of the theoretical models, and at the same time shows the non-linearity of the relationships between the stage of development 6 See for instance Andersen (2005) 205

PART III: and migration flows between two countries. If the level of development of the sending and host countries is measured by GDP per capita, then the relationship between GDP per capita differentials and the share of migration is not collinear. Accordingly, when a given level of development of the sending country is achieved, the migration flows into the host country are reduced. Similarly, re-migration back to the sending country begins when income differentials between the sending and the host counties reach a maximum. The present analysis is based on the migration theory presented by Ortega and Peri (2009), which is fully consistent with the generalized gravity model. In this model the log of bilateral migrations (either stocks or flows) is a function of sending and receiving country effects, that is, expected income differentials and migration costs. Ortega and Peri tested the prediction of the model with aggregate panel data on stock and flows of migrants. It is important to note that their empirical specification allowed focusing on the factors that determine immigration into the destination countries. They also showed that mis-measurement can be a problem due to classification. Namely, some countries define immigrants on the basis of place of birth, while others define an immigrant population on the basis of nationality. In this way they suggested the measure of so-called net instead of gross immigration for each of the destination countries. The basic empirical specification estimated by Ortega and Peri is as follows: (2) where Migration represents either inflows or stock of the immigrants in the host country, the term D ot is the set of country-of-origin by time dummies, D d are destination country dummies, W dt-1 is the difference in GDP per capita between sending and destination countries, Y odt-1 are time-varying variables for the destination country (such as population, Gini coefficient, share of young workers), X od are time invariant proxy variables (as for instance distance, common language, contiguity), and ε odt is the zero-mean measurement error. 206 1.3. The model and methodology While Cheng and Wall (2005) showed that the country pair fixed effects model is preferred to all other specifications that estimate the gravity model, this paper tested a similar specification of the gravity model as presented in equation (2) by using a fixed effects estimator. We also weight the stock of immigrants as a dependent variable by the population of the destination country to correct for heteroskedasticity of measurement errors. Since the decision to migrate is probably based on historical experience, we lag the explanatory variables for one period, allowing them to affect the stock of immigrants in the following year. When immigrants are coming from countries characterized by very different levels of socio-economic development, the model is firstly estimated using the entire sample of countries and then estimated on sub-samples based on country of origin. In this way we analyse the stock of immigrants originating in the EU-15 countries, Central and Eastern European countries and the developing world. Following Ortega and

their mass and inversely proportional to the distance which separates them. In its basic<br />

form, the gravity model states that foreign trade between two countries is a positive<br />

function of their GDP as a proxy variable for their respective supply (conditions in the<br />

source country) and demand (conditions in the host country), and a negative function of<br />

the distance between two countries as a proxy variable for transportation costs. Thus the<br />

basic model has following form:<br />

(1)<br />

If the basic explanatory variables of the gravity equation are distance and economic size,<br />

then theory allows the inclusion of many variables that may explain trade flows between<br />

two observed countries, such as GDP per capita, foreign direct investment, exchange<br />

rate volatility as well as dummies for similar languages, common border and free trade<br />

agreements. The gravity model has gained theoretical foundations due to the development<br />

of new theories of international trade, which assume imperfect competition. Helpman and<br />

Krugman (1985) propose a formalization of the gravity equation in which intra and interindustry<br />

trade approaches are reconsidered. The Bergstrand (1989) model represents an<br />

extension of the Helpman and Krugman model, taking into account the supply and demand<br />

functions of trade flows.<br />

1.2. Literature overview<br />

SOME ASPECTS OF TRADE STATISTICS <strong>AND</strong> REPORTING<br />

Empirical studies consistently identify GDP per capita differences and size differences<br />

between sending and receiving countries as key drivers of migration between nations, and<br />

indicate that economic theory does not provide a fully satisfactory model for analysing the<br />

causes and effects of migration. This discrepancy between empirical studies and theory has<br />

led to the coexistence of several interdisciplinary approaches which are presented in more<br />

detail in Hatton and Williamson’s (2005) work. For instance the so-called macroeconomic<br />

theories in the neo-classical tradition explain migration by looking at skill differences in<br />

the labour supply and demand between two observed countries as well as the differences<br />

in their wages, while microeconomic theories try to explain the migration incentives of<br />

the individuals involved through cost-benefit deliberations based on lifecycle income and<br />

taking into account investment in human capital. 6<br />

The so-called world dual labour theory explains international migration by means of<br />

push and pull factors, where the pull factors represent the following four characteristics<br />

of modern industrial society: structural wage inflation, lack of motivation for lowstatus<br />

jobs, economic dualism between a human capital-intensive core workforce and<br />

a peripheral workforce, and demographic trends in labour supply. Similarly, other new<br />

theories assume that the decision to migrate is taken on the family level rather than by<br />

individuals. The objective of migration is the collective maximization of the income in<br />

absolute and relative terms in comparison with reference families or neighbours as well<br />

as risk minimization under conditions of undeveloped insurance markets.<br />

Thus Hatton and Williamson’s book presents a synthesis of the theoretical models, and at<br />

the same time shows the non-linearity of the relationships between the stage of development<br />

6<br />

See for instance Andersen (2005)<br />

205

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