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Nonlinear Wage Responses to Internal and External Factors

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  • Kåre Johansen

    (Department of Economics, Norwegian University of Science and Technology)

Abstract

The paper tests whether or not the effects on sectoral wages of internal and external factors depend upon the sector’s relative wage position. The key hypothesis is that workers in low—wage sectors are more concerned with relative wages than workers in high wage sectors. To test the hypothesis, we make use of panel data and formulate a smooth transition regression model including relative wages as the transition variable. The empirical results provide strong evidence of nonlinear wage responses to industry profitability, outside wages and unemployment. The estimated long—run insider weight and the unemployment effect are much higher in high—wage industries than in low—wage industries. The main results are robust to alternative transformations of the unemployment rate and we also provide some evidence of nonlinear effects using regional panel data.

Suggested Citation

  • Kåre Johansen, "undated". "Nonlinear Wage Responses to Internal and External Factors," Working Paper Series 0902, Department of Economics, Norwegian University of Science and Technology, revised 25 Aug 2002.
    • Handle: RePEc:nst:samfok:0902
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    File URL: http://www.svt.ntnu.no/iso/WP/2002/9nlinswp.pdf
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    References listed on IDEAS

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    Cited by:

    1. Jonathan Thomas, 2000. "Fair Pay and a Wagebill Argument for Wage Rigidity and Excessive Employment Variability," CESifo Working Paper Series 234, CESifo.
    2. Jonathan P. Thomas, 1999. "Fair Pay and a Wagebill Arguement for Wage Rigidity and Excessive Employment Variability," Discussion Paper Series, School of Economics and Finance 199919, School of Economics and Finance, University of St Andrews.
    3. Nauro Campos & Ekaterina Glebkina & Menelaos Karanasos & Panagiotis Koutroumpis, 2023. "Financial Development, Political Instability, Trade Openness and Growth in Brazil: Evidence from a New Dataset, 1890-2003," Open Economies Review, Springer, vol. 34(4), pages 831-861, September.

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    More about this item

    Keywords

    Insider forces; panel data; nonlinear modelling;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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