Estudio del perfil educativo de los migrantes en Españauna aplicación del iterative proportional fitting mixto

  1. Pereira López, Xesús 1
  2. César Vila, Manuel 1
  3. Verdugo Matés, Rosa María 1
  1. 1 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

Revista:
Anales de ASEPUMA

ISSN: 2171-892X

Ano de publicación: 2015

Número: 23

Tipo: Artigo

DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Outras publicacións en: Anales de ASEPUMA

Resumo

In this study, the regional migratory flows in Spain are analysed by educational level. However, the data regarding the flows are not available in the desired format and therefore need prior treatment that is not without methodological issues. In fact, studies regarding migrants in Spain do not usually distinguish the education background that they possess. Official statistics related to this topic, the Residential Variations Survey and the Survey of Migration, do not provide such information, despite being published annually. Therefore, the deficiencies of these two sources suggest the modification of the estimation method commonly used in this field. In this sense, a technique is proposed for the projection of intra- and interregional migration –by year and disaggregated educational level– in Spain through the use of censuses: an extension of the iterative proportional fitting (IPF). In this regard, it is noted that a basic IPF estimates matrices through proportional corrections by row and column on a base matrix (in succession) and according to the margins, which are known a priori. However, in this extension, not only the annual margin vectors are made use of, but also that the total migratory flows between regions be considered. This implies a redesign of the basic IPF so that tri-proportional adjustments are made, motivated precisely by the information made available. Finally, the coefficients of Chenery and Watanabe and Streit are used to identify the internal migration of the population with tertiary studies in Spain.

Referencias bibliográficas

  • ALIPPI, C. y STORTI-GAJANI, G. (1991). "Simple approximation of sigmoidal functions: Realistic design of digital neural networks capable of learning". IEEE International Symposium on Circuits and Systems, pp. 1505-1508.
  • BASTERRETXEA, K., TARELA, J.M. y DEL CAMPO, I. (2004). "Approximation of sigmoid function and the derivative for hardware implementation of artificial neurons". IEE Proceedings-Circuits, Devices and Systems, 151(1), pp. 18-24.
  • BIRKIN, M. (1987). Iterative proportional fitting (IPF): Theory, method, and examples. Computer Manual, School of Geography, University of Leeds, 26.
  • CABRER, B., SERRANO, G. y SIMARRO, R. (2009). "Flujos migratorios y movilidad del capital humano". Investigaciones Regionales, (16), pp. 5-42.
  • CHENERY, H. y WATANABE, T. (1958). "International comparisons of the structure of production". Econometrica, 26(4), pp. 487-521. DEMING, W.E. y STEPHAN, F.F. (1940). "On a least squares adjustment of a sampled frequency table when the expected marginal totals are known". The Annals of Mathematical Statistics, 11(4), pp. 427-444.
  • GIL, L.A. y JIMENO, J. (1993). "The determinants of labour mobility in Spain: Who are the migrants?" FEDEA. Documento de Trabajo, 9305
  • LEBOEUF, K., NAMIN, A.H., MUSCEDERE, R., WU, H. y AHMADI, M. (2008). High speed VLSI implementation of the hyperbolic tangent sigmoid function. Convergence and Hybrid Information Technology. ICCIT'08. Third International Conference, 1, pp. 1070-1073.
  • LOMAX, N. (2013). Internal and cross-border migration in the United Kingdom: Harmonising, estimating and analysing a decade of flow data. PhD. thesis, University of Leeds.
  • LOMAX, N., NORMAN, P., REES, P. y STILLWELL, J. (2013). "Subnational migration in the United Kingdom: Producing a consistent time series using a combination of available data and estimates". Journal of Population Research,30(3), pp. 265-288.
  • NAIR, P.S. (1985). "Estimation of period-specific gross migration flows from limited data: Bi-proportional adjustment approach". Demography, 22(1), pp. 133-142.
  • NORMAN, P. (1999). "Putting iterative proportional fitting on the researcher's desk". Working Paper 99/3, School of Geography, University of Leeds, pp. 1-37.
  • RAYMER, J. (2007). "The estimation of international migration flows: A general technique focused on the origin-destination association structure". Environment and Planning A, 39(4), pp. 985-995.
  • REES, P. y DUKE‐WILLIAMS, O. (1997). "Methods for estimating missing data on migrants in the 1991 British census". International Journal of Population Geography, 3(4), pp. 323-368.
  • SCHOEN, R. y JONSSON, S.H. (2003). "Estimating multistate transition rates from population distributions". Demographic Research, 9(1), pp.1-24.
  • SERRANO, L. (1998). "Capital humano y movilidad espacial del trabajo en laeconomía española". Working Paper WP-EC 98-06 IVIE, pp. 1-32. STREIT, M.E. (1969). "Spatial associations and economic linkages between industries". Journal of Regional Science, 9(2), pp. 177-188.
  • VAN IMHOFF, E., VAN DER GAAG, N., VAN WISSEN, L. y REES, P. (1997)."The selection of internal migration models for European regions". International Journal of Population Geography, 3(2), pp. 137-159.
  • VAN IMHOFF, E., VAN WISSEN, L. y SPIESS, K. (1994). Regional population projections in the countries of the European Economic Area. Amsterdam/Lisse: Swets and Zeitlinger. NIDI/CBGS Publications, 31.
  • VEJNAROVÁ, J. (2003). Design of iterative proportional fitting procedure for possibility distributions. ISIPTA 03, pp. 577-592.
  • WILLEKENS, F.J. (1980). "Entropy, multiproportional adjustment and the analysis of contingency tables". Systemi Urbani, 2(3), pp. 171-201.
  • WILLEKENS, F.J. (1982). Multidimensional population analysis with incomplete data, Academic Press.
  • WILLEKENS, F.J. (1983). "Log‐linear modelling of spatial interaction". Papers in Regional Science Association, 52(1), pp. 187-205.
  • WILLEKENS, F.J., POR, A. y RAQUILLET, R. (1981). Entropy, multiproportional, and quadratic techniques for inferring patterns of migration from aggregate data. IIASA Reports. A Journal of International Applied Systems Analysis, 4.
  • WONG, D. (1992). "The reliability of using the iterative proportional fitting procedure". The Professional Geographer, 44(3), pp. 340-348.
  • ZALOŽNIK, M. (2011). Iterative proportional fitting: Theoretical synthesis and practical limitations. PhD. thesis, University of Liverpool.
  • ZHANG, M., VASSILIADIS, S. y DELGADO-FRIAS, J.G. (1996). "Sigmoid generators for neural computing using piecewise approximations". IEEE Transactions on Computers, 45(9), pp. 1045-1049.
Fonte de datos: Dialnet