Analysis of the third European survey on working conditions with composite indicators

A composite indicator Working conditions for comparing European countries is constructed from data of the Third European Survey on Working Conditions. The main findings are as follows: (a) European countries differ with respect to working conditions statistically more significantly than with respect to earnings; it implies a quite accurate discrimination threshold in ranking countries with respect to working conditions, (b) working conditions and earnings positively correlate over the whole of Europe but correlate little within single countries; it indicates at the prevailing role of national determinants over professional or social specificities as contributing to the average working conditions, and (c) earnings play no essential role in subjective estimations, including job satisfaction, which mainly depends on working conditions; consequently, more attention should be paid to improving the latter. The same approach is applied to constructing a three-dimensional indicator of Working time, reflecting its aspects duration, location (abnormality), and flexibility. It is found that abnormality and flexibility compensate each other, whereas the duration is not affected by two other factors.

[1]  Léon Walras.  Éléments d'économie politique pure , 1889 .

[2]  Andranik S. Tangian,et al.  Constructing the composite indicator "quality of work" from the third European survey on working conditions , 2004 .

[3]  Michael Freudenberg,et al.  Composite Indicators of Country Performance: A Critical Assessment , 2003 .

[4]  Directorate-General for Employment.  Industrial Relations in Europe 2002 , 2000 .

[5]  Brian Everitt,et al.  Principles of Multivariate Analysis , 2001 .

[6]  K. Menger,et al.  Grundsätze der Volkswirtschaftslehre , 1924 .

[7]  Andranick S. Tanguiane,et al.  Aggregation and Representation of Preferences: Introduction to Mathematical Theory of Democracy , 1991 .

[8]  Karolina Tkalec.  Europska strategija zapošljavanja , 2000 .

[9]  G. Thompson,et al.  The Theory of Committees and Elections. , 1959 .

[10]  Andranik Tangian,et al.  Constructing a quasi-concave quadratic objective function from interviewing a decision maker , 2002, Eur. J. Oper. Res..

[11]  Giuseppe Munda,et al.  Version November , 2003 On the Methodological Foundations of Composite Indicators Used for Ranking Countries , 2003 .

[12]  J. Edward Jackson,et al.  A User's Guide to Principal Components. , 1991 .

[13]  Charles P. Jones,et al.  An Analysis of the S&P 500 Index and Cowles's Extensions: Price Indexes and Stock Returns, 1870-1999 , 2002 .

[14]  T. Wansbeek,et al.  Tackling Hard Questions by Means of Soft Methods: The Use of Individual Welfare Functions in Socio-Economic Policy , 1983 .

[15]  An Outline of the Mathematical Theory of Democracy and Its Applications , 1997 .

[16]  G. Hall,et al.  The Interpretation of Dreams , 1914, Nature.

[17]  A. Tangian.  A composite indicator of working conditions in the EU-15 for policy monitoring and analytical purposes , 2005 .

[18]  A. Tamhane,et al.  Multiple Comparison Procedures , 1989 .

[19]  Andrew J. Oswald,et al.  Does Money Buy Happiness? A Longitudinal Study Using Data on Windfalls , 2002 .

[20]  G. Lowe.  The Case For Investing In High Quality Work , 2003 .

[21]  David R. Cox,et al.  Quality‐Of‐Life Assessment: Can We Keep it Simple? , 1992 .

[22]  S. Freud.  The Interpretation of Dreams , 1899 .

[23]  H. Urban,et al.  "Gute Arbeit" eine arbeits- und gesundheitspolitische Initiative der IG Metall , 2004 .

[24]  W. Kirn.  It's a glad, sad, mad world. Where you live, as much as how you live, is a key influence on the feel-good factor. , 2005, Time.

[25]  Alfred Kleinknecht,et al.  The Non-Trivial Choice between Innovation Indicators , 2002 .

[26]  P. Warr.  Well-being and the workplace. , 1999 .

[27]  W. Edwards,et al.  Decision Analysis and Behavioral Research , 1986 .

[28]  Arne L. Kalleberg,et al.  Work Values and Job Rewards: A Theory of Job Satisfaction. , 1977 .

[29]  Andrew H. Wilson.  Science, technology and innovation , 2019, Africa Sustainable Development Report 2018.

[30]  Maurice G. Kendall.  The advanced theory of statistics , 1958 .

[31]  D. Kahneman,et al.  Well-being : the foundations of hedonic psychology , 1999 .

[32]  Stefano Tarantola,et al.  Handbook on Constructing Composite Indicators: Methodology and User Guide , 2005 .

[33]  J. Hoekman,et al.  Towards a European research area , 2007 .

[34]  G. Esping‐Andersen,et al.  The Three Worlds of Welfare Capitalism , 1990 .

[35]  Andranik Tangian,et al.  Constructing Scalar-Valued Objective Functions , 1997 .

[36]  Stefano Tarantola,et al.  Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators , 2005 .

[37]  A. Clark.  What Makes a Good Job? Evidence from OECD Countries , 2005 .

[38]  Great Britain. Foreign Office.,et al.  Labour force survey , 1982 .

[39]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[40]  J. Pastor,et al.  Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries , 1995 .

[41]  A. Tangian.  Composite indicator of German regional policy and its use for optimizing subsidies to regional labour markets , 2005 .

[42]  T. Eriksson,et al.  An Analysis of the Determinants of Job Satisfaction when Individuals ’ Baseline Satisfaction Levels May Differ , 2004 .

[43]  R. Huggins.  Creating a UK Competitiveness Index: Regional and Local Benchmarking , 2003 .

[44]  Laurens Cherchye,et al.  Using data envelopment analysis to assess macroeconomic policy performance , 2001 .

[45]  R. Färe,et al.  Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries , 1994 .

[46]  Dallas E. Johnson,et al.  Analysis of Messy Data Volume 1: Designed Experiments, Second Edition , 2004 .

[47]  W. Jevons.  Theory of Political Economy , 1965 .

[48]  Andranik Tangian.  Redistribution of university budgets with respect to the status quo , 2004, Eur. J. Oper. Res..

[49]  K. Arrow,et al.  Social Choice and Multicriterion Decision-Making , 1986 .

[50]  A. Tangian.  Monitoring flexicurity policies in the EU with dedicated composite indicators , 2005 .

[51]  A. Tamhane,et al.  Multiple Comparison Procedures , 2009 .

[52]  Z. Griliches.  Patent Statistics as Economic Indicators: a Survey , 1990 .

[53]  S. Freud.  Observations on Transference-Love : Further Recommendations on the Technique of Psycho-Analysis III. , 1993, The Journal of psychotherapy practice and research.

[54]  John B. Guerard.  A Note on the Forcasting Effectiveness of the U.S. Leading Economic Indicators , 2003 .

[55]  Teuvo Kohonen,et al.  Self-Organizing Maps, Third Edition , 2001, Springer Series in Information Sciences.

[56]  J. E. Jackson.  A User's Guide to Principal Components , 1991 .

[57]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[58]  Arnold B. Urken,et al.  Classics of social choice , 1995 .

[59]  S. Tarantola,et al.  State-of-the-art Report on Current Methodologies and Practices for Composite Indicator Development , 2002 .

[60]  Andranik Tangian,et al.  Constructing a monotonic quadratic objective function in n variables from a few two-dimensional indifferences , 2001, Eur. J. Oper. Res..

[61]  Granino A. Korn,et al.  Mathematical handbook for scientists and engineers , 1961 .

[62]  Andranik Tangian,et al.  A model for ordinally constructing additive objective functions , 2004, Eur. J. Oper. Res..