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The Timing of Economic Activities

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  • Winston,Gordon C.

Abstract

This study introduces 'time-specific' analysis of economic processes. Economic processes are conventionally analysed from one point in time to another over a series of time units - days, weeks, or years. By contrast, these time-specific models focus on the temporal character of events within the unit time - their timing, duration, and sequence - utilizing the information that is lost in the macroscopic time perspective of standard economic theory. What time-specific analysis reveals are economic and technological characteristics of goods and services - prices and cost behaviour and temporal mobility or immobility within the unit time - that affect capital productivity and its utilization, optimal schedules of production, work, and consumption, least-cost methods of producing time-shaped outputs, and efficient welfare-maximizing behavior in time-specific, including peak-load, markets.

Suggested Citation

  • Winston,Gordon C., 2008. "The Timing of Economic Activities," Cambridge Books, Cambridge University Press, number 9780521070928, October.
    • Handle: RePEc:cup:cbooks:9780521070928
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    Cited by:

    1. Hirte, Georg & Tscharaktschiew, Stefan, 2018. "The impact of anti-congestion policies and the role of labor-supply margins," CEPIE Working Papers 04/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    2. D'Elia, Enrico, 2010. "Predictions vs preliminary sample estimates," MPRA Paper 36070, University Library of Munich, Germany.
    3. Giuntella, Osea & Mazzonna, Fabrizio, 2019. "Sunset time and the economic effects of social jetlag: evidence from US time zone borders," Journal of Health Economics, Elsevier, vol. 65(C), pages 210-226.
    4. Giuntella, Osea & Mazzonna, Fabrizio, 2016. "If You Don't Snooze You Lose: Evidence on Health and Weight," IZA Discussion Papers 9773, Institute of Labor Economics (IZA).
    5. D’Elia Enrico, 2014. "Predictions vs. Preliminary Sample Estimates: The Case of Eurozone Quarterly GDP," Journal of Official Statistics, Sciendo, vol. 30(3), pages 499-520, September.

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