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Keywords ( ): 3 8

Wadim Strielkowski

Charles University in Prague

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Inna Čábelková

Charles University in Prague

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Evgeny Lisin

Moscow Power Engineering Institute

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Abstract ()

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Keywords ( ): 3 8

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JEL classification: (Journal of Economic Literature Classification system available at: http://www.aeaweb.org/jel/jel_class_system.php)

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Introduction (, )

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This paper is organized as follows: First, the overview of the research literature on the subject of our research will be presented. Second, the data and the theoretical model will be described. Third, the model will be run and the results duly presented and commented on. Forth, policy implications will be outlined and discussed in detail. Finally, in the conclusions the main outcomes of our research will be clearly stated.

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Overview of the research literature ( )

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Table 1 ( 1): (Times New Roman, 12 )

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Table 2: Results of the regression analysis ( )

  Inflows Std. errors () (. .) Outflows Std. errors () (. )
Corr. average salary -.277*** .177 .784*** .155
Employment structure 787.763*** 230.180 -284.543** 150.472
Constant -7728.39** 4064.399 -4579.145* 2656.964
0.378 0.305
0.370 0.296
 

Note (): * significant at 10%; ** significant at 5%; *** significant at 1% ( 1%)

Source: Own results

 

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Table 3: Results of the multinominal logistic regression ( )

  Primary vs. construction Secondary vs. construction Tertiary vs. construction
Personal characteristics      
       
Age in years 1.1257 .9829514 .9066195**
  (.3180) (.0355) (.0432)
Human capital      
       
Education 8.0592 1.9138 1.9239
  (18.1196) (1.2674) (1.6957)
Occupation at home country      
       
Worked in primary sector 1.02e+16 1.9055 .1.5575
  (3.81e+19) (2.9398) (2.9725)
Worked in secondary sector 1.15e-14 41.0246*** 19.5973**
  (8.88e-11) (37.3043) (26.4752)
Worked in the tertiary sector 2.35e+07 12.75148*** 40.3404***
  (7.57e+10) (12.2918) (47.6213)
       
Pseudo R2 0.49
Pseudo LL -74.033
Wald 141.06
Number of migrants  
 

Note: * Significant on the 10% level;** Significant on the 5% level; *** Significant on the 1% level; RRR and standard errors in parentheses

Source: Sanderson and Strielkowski (2012)

 

Literature ()

 

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In their paper Davenport and Prusak (1998) say or: Results follow (see Davenport and Prusak, 1998).

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  • Davenport, Thomas D., Prusak, L. (1998), Working knowledge: How Organizations Manage What They Know, Harvard Buisiness School Press
  • Barringer, B.R., Harrison, J.S. (2000), Walking a Tightrope Creating Value trough Interorganizational Relationships, Journal of Management, Vol. 26, No. 3, pp. 367 403.
  • Bauer, A., Haltom, N., Peterman, W. (2004), Examining Contributions to Core Consumer Inflation Measures, Federal Bank of Atlanta, Working Paper 27, 36 p.

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  • Bystritskiy, S., V. Zausayev, and Ledenev, M. (1998), Rynochnyye preobrazovaniya na Dal'nem Vostoke (Market Transformations in the Far East), Voprosy ekonomiki, 9, pp. 19-58
  • Rosstat (Federalnaya Sluzhba Gosudarstvennoy Statistiki) (2010), Statisticheskoye obozreniye (Statistical Survey), Moscow, Russia: Rosstat, 215 p.

 

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Information about the authors ( ):

 

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Wadim Strielkowski (strielkowski(at)fsv.cuni.cz) is an Assistant Profesor at Charles University, Prague, Institute of Economic Studies, Faculty of Social Sciences, Opletalova 26, 11000 Praha 1, Czech Republic.

 

Inna Čábelková (inna.cabelkova(at)fhs.cuni.cz) is an Assistant Professsor at Charles University, Prague, Faculty of Humanities, U Kříže 5, 150 00 Praha 5, Czech Republic

 

Evgeny Lisin (lisinym(at)mpei.ru) is an Associate Professor at Moscow Power Engineering Institute (Technical University), Krasnokazarmennaya street 14, Moscow, Russian Federation

 

Acknowledgements ():

 

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This research was supported by the grant No. 2022. The authors would like to thank Vladimir Bystritskiy for his comments.



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