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Marginal q and Firms' Capital Investments: Evidence from Time Series Data of Japanese Manufacturing Industries

Author

Listed:
  • Masafumi Kozuka

    (Faculty of Policy Studies, University of Marketing and Distribution Sciences)

Abstract
In this paper, we verify the predictability of marginal q on rms' capital invest- ments. We compare Granger's causality of four manufacturing industries with the LA-VAR model and Vector Error Correction Model(VECM). We obtain the empirical results that the null hypothesis of no Granger's causality from marginal q to invest- ments is accepted for the chemical industry and iron-steel industry, and it is rejected for the transportation equipment industry. For the product machinery industry, null hypothesis is rejected with the LA-VAR model, but accepted with VECM; it is not robust result. These results indicate that the chemical and iron-steel industry, with higher uncertainty and irreversibility, could not adjust their capital investments in response to the uctuation of Tobin's q, while the transportation equipment industry could do so. Following the analytical implications by earlier theoretical studies, it is considered that uncertainty and irreversibility restrain their capital investments, or rms with uncertainty and disposal cost do not invest in equipment because of lower Tobin's q than the threshold value. Thus, the role of uncertainty and irreversibility is important for predicting capital investments by Tobin's q.

Suggested Citation

  • Masafumi Kozuka, 2014. "Marginal q and Firms' Capital Investments: Evidence from Time Series Data of Japanese Manufacturing Industries," Discussion Papers 1411, Graduate School of Economics, Kobe University.
    • Handle: RePEc:koe:wpaper:1411
    as

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    File URL: http://www.econ.kobe-u.ac.jp/RePEc/koe/wpaper/2014/1411.pdf
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    marginal q; Granger's causality; irreversibility; uncertainty;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity

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