REGIONAL COOPERATION AND ECONOMIC INTEGRATION
REGIONAL COOPERATION AND ECONOMIC INTEGRATION REGIONAL COOPERATION AND ECONOMIC INTEGRATION
SOME ASPECTS OF TRADE STATISTICS AND REPORTING Stanislav Černoša 1 THE GRAVITY MODEL AS WORKHORSE: WHAT CAN WE LEARN ALMOST FIFTY YEARS LATER Abstract This paper tests the gravity model, where the logarithm of the stock (or flow) of the immigrants from origin to destination country is a positive function of wage differentials, size differentials, income inequality differentials and a negative function of distance as proxy variable for migration costs. The results of the estimation confirm that GDP per capita of the destination countries as a proxy variable for wage differentials, and population of the destination countries as a proxy variable for size differentials are important determinants which significantly influence migration flows between 72 countries of origin and fifteen European Union destination states. Key words: Central and Eastern European countries, European Union, gravity models, fixed effects model, migration, and panel data. INTRODUCTION Tinbergen (1962), Pöjhönen (1963) and Linnenmann (1966) first used the gravity model to explain bilateral trade flows of some observed countries. Since then this instrument has been widely used in the applied literature to evaluate the impact of regional agreements, 2 the impact of monetary union, and the impact of foreign direct investments on trade flows, and to simulate trade potential. 3 The gravity equation has been successfully applied instead of trade flows to a whole range of international flows, such as for instance immigration into European Union (EU) member states (Marques, 2005, Svaton and Warin, 2007), and foreign direct investments, immigration and EU enlargement (Breitenfellner et al., 2008). Thus the central aim of this paper is to confirm the assertion that the gravity model, almost fifty years after its first introduction, is still a useful workhorse for researchers. At a time when the issue of labour mobility has never been more topical in the territory of Europe (Zimmerman, 2009), this paper uses the gravity equation as a workhorse to analyse immigration into fifteen EU member states. 4 For this purpose two different datasets on migration stocks and flows for fifteen EU member states and 72 countries of origin were newly formed for each year over the period 1996 to 2006 using the OECD database. Thus one of the contributions of this paper is that it compiles new datasets on migrant stocks and flows, which allow us to control a relatively large set of fixed effects by using panel techniques suggested by Cheng and Wall (2005). 1 Stanislav Černoša is head of sales at Založba Aristej Maribor, Slovenia (cernosa@aristej.si). 2 For instance Caetano and Galego (2005), Bussierre et all (2005), Rault et all (2007) 3 See Egger (1999), Fuchs and Wohlrabe (2005). 4 The countries selected for analysis are: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxemburg, the Netherlands, Portugal, Spain, Sweden and the United Kingdom. 203
PART III: Consequently, the model is firstly estimated using the entire sample of 87 countries and then estimated on sub-samples, based on country of origin. 5 Another contribution of this paper is that it introduces a model which is reminiscent of the generalized gravity equation. This model is grounded on the theoretical suppositions of the Ortega and Peri (2009, 9-13) migration model, allowing for unobserved individual heterogeneity between migrants and non-migrants. Namely, migrants systematically differ from non-migrants along important dimensions that are hard to measure, such as for instance ability, risk aversion, or the psychological costs of living away from home. In accordance with the suppositions of the migration model, the main testable hypothesis supposes that the stock (or inflows) of the migrant population in the destination country is determined by the wage differentials between origin and destination country, where GDP per capita of the destination countries is introduced as a proxy variable for labour income differentials between origin and destination countries. The second testable hypothesis supposes that the bilateral migration flows between the origin and sending country are determined by size differentials, where the population of the destination country is used as a proxy variable for size differentials. The third hypothesis supposes that bilateral migration flows are related to income inequalities between the origin and sending countries, where the Gini coefficient of the destination country is used as a proxy variable for income inequality differentials. An important contribution of this paper is the inclusion of alternative proxy variables in the gravity model, which are introduced in order to confirm the robustness of the analysis and to reinforce the generalized version of the gravity model. Thus the Gini coefficient of the sending country is introduced as a proxy variable for income inequality differentials, the population of the sending country is introduced as a proxy variable for size differentials, and GDP per capita of the sending country is introduced as a proxy variable for wage differentials between the two countries, with a negative sign on these variables expected. The paper is structured as follows. Section Two presents the gravity model in its basic form, reviews the theoretical literature, presents the Ortega and Peri (2009) migration model and presents the empirical model used to analyse determinants of bilateral migration flows. Section Three describes and presents the datasets, especially those on stocks and flows of the migrant population in the destination countries and estimates the effects of wage differentials, size differentials and income inequality differentials between the sending and receiving countries by using a fixed effects estimator. Section Four provides some concluding remarks. 1. Gravity model 1.1. The gravity approach The gravity model is a mathematical device used for the analysis of bilateral trade flows between different countries or geographical entities in empirical research. The gravity approach says that attractiveness between two entities is proportional to the product of 5 These samples are: EU-15 member states, Central and Eastern European countries and the developing world. 204
- Page 163 and 164: PART II: In order to bring to an en
- Page 165 and 166: PART II: stimulated the growth rate
- Page 168 and 169: CEFTA-2006 TRADE COOPERATION Irena
- Page 170 and 171: CEFTA-2006 TRADE COOPERATION within
- Page 172 and 173: Table 2: Data on exports of agricul
- Page 174 and 175: CEFTA-2006 TRADE COOPERATION 3.1. T
- Page 176 and 177: Macedonian export of non-agricultur
- Page 178 and 179: is 37.1% of the total Serbian trade
- Page 180: CEFTA-2006 TRADE COOPERATION na CEF
- Page 183 and 184: PART II: countries in the Region, a
- Page 185 and 186: PART II: becoming wealthier consume
- Page 187 and 188: PART II: versa for Croatia; for Mac
- Page 189 and 190: PART II: Table 5: Exports of the Re
- Page 191 and 192: PART II: Commission of the European
- Page 193 and 194: PART III: Serbia, Macedonia and man
- Page 195 and 196: PART III: of TNCs have changed the
- Page 197 and 198: PART III: 3. Foundations of the new
- Page 199 and 200: PART III: modes of supply, FATS cor
- Page 201 and 202: PART III: enterprise (affiliate). U
- Page 203 and 204: PART III: REFERENCES Bjelić, Predr
- Page 205 and 206: PART III: requirement for compulsor
- Page 207 and 208: PART III: Companies prepare and pre
- Page 209 and 210: PART III: it refers to adjusting of
- Page 211 and 212: PART III: presentation of assets, l
- Page 216 and 217: their mass and inversely proportion
- Page 218 and 219: Peri specifications in log-log spac
- Page 220 and 221: orn population, is less reliable an
- Page 222 and 223: SOME ASPECTS OF TRADE STATISTICS AN
- Page 224: Weltwirtschaftliches Archiv, 90(01)
- Page 227 and 228: PART IV: INTRODUCTION The manufactu
- Page 229 and 230: PART IV: 12 Figure 2: Main developm
- Page 231 and 232: PART IV: Firms’ characteristics F
- Page 233 and 234: PART IV: 3.2. Measurement and data
- Page 235 and 236: PART IV: high and high technologica
- Page 237 and 238: PART IV: study. Firstly, companies
- Page 239 and 240: PART IV: and Consumption Studies, U
- Page 241 and 242: PART IV: medium-sized enterprises,
- Page 243 and 244: PART IV: Balkan transition economie
- Page 245 and 246: PART IV: evidence that human capita
- Page 247 and 248: PART IV: of involving Serbia in a u
- Page 249 and 250: PART IV: REFERENCES Arandarenko, M.
- Page 252 and 253: CEFTA-2006 AND ANHANCING COMPETITIV
- Page 254 and 255: CEFTA-2006 AND ANHANCING COMPETITIV
- Page 256 and 257: CEFTA-2006 AND ANHANCING COMPETITIV
- Page 258 and 259: CEFTA-2006 AND ANHANCING COMPETITIV
- Page 260: CEFTA-2006 AND ANHANCING COMPETITIV
SOME ASPECTS OF TRADE STATISTICS <strong>AND</strong> REPORTING<br />
Stanislav Černoša 1<br />
THE GRAVITY MODEL AS WORKHORSE: WHAT CAN WE<br />
LEARN ALMOST FIFTY YEARS LATER<br />
Abstract<br />
This paper tests the gravity model, where the logarithm of the stock (or flow) of the<br />
immigrants from origin to destination country is a positive function of wage differentials,<br />
size differentials, income inequality differentials and a negative function of distance as proxy<br />
variable for migration costs. The results of the estimation confirm that GDP per capita of<br />
the destination countries as a proxy variable for wage differentials, and population of the<br />
destination countries as a proxy variable for size differentials are important determinants<br />
which significantly influence migration flows between 72 countries of origin and fifteen<br />
European Union destination states.<br />
Key words: Central and Eastern European countries, European Union, gravity models,<br />
fixed effects model, migration, and panel data.<br />
INTRODUCTION<br />
Tinbergen (1962), Pöjhönen (1963) and Linnenmann (1966) first used the gravity model<br />
to explain bilateral trade flows of some observed countries. Since then this instrument has<br />
been widely used in the applied literature to evaluate the impact of regional agreements, 2<br />
the impact of monetary union, and the impact of foreign direct investments on trade flows,<br />
and to simulate trade potential. 3<br />
The gravity equation has been successfully applied instead of trade flows to a whole<br />
range of international flows, such as for instance immigration into European Union (EU)<br />
member states (Marques, 2005, Svaton and Warin, 2007), and foreign direct investments,<br />
immigration and EU enlargement (Breitenfellner et al., 2008). Thus the central aim of this<br />
paper is to confirm the assertion that the gravity model, almost fifty years after its first<br />
introduction, is still a useful workhorse for researchers. At a time when the issue of labour<br />
mobility has never been more topical in the territory of Europe (Zimmerman, 2009), this<br />
paper uses the gravity equation as a workhorse to analyse immigration into fifteen EU<br />
member states. 4<br />
For this purpose two different datasets on migration stocks and flows for fifteen EU member<br />
states and 72 countries of origin were newly formed for each year over the period 1996<br />
to 2006 using the OECD database. Thus one of the contributions of this paper is that it<br />
compiles new datasets on migrant stocks and flows, which allow us to control a relatively<br />
large set of fixed effects by using panel techniques suggested by Cheng and Wall (2005).<br />
1<br />
Stanislav Černoša is head of sales at Založba Aristej Maribor, Slovenia (cernosa@aristej.si).<br />
2<br />
For instance Caetano and Galego (2005), Bussierre et all (2005), Rault et all (2007)<br />
3<br />
See Egger (1999), Fuchs and Wohlrabe (2005).<br />
4<br />
The countries selected for analysis are: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland,<br />
Italy, Luxemburg, the Netherlands, Portugal, Spain, Sweden and the United Kingdom.<br />
203