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2017 | 3 (17) | nr 3 | 143--147
Tytuł artykułu

Rejoinder to Evidence and the Micro-Foundations of Economic Growth by Michael Joffe

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Treść / Zawartość
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EN
Abstrakty
EN
This is a response to Joffe (this issue) and aims to demonstrate that economics needs theory that is developed in collaboration with real-world data and that approaches utilised in other disciplines may be transferred to enable this goal. Building better theory will enable improved explanation of economic phenomena to aid the understanding of causation in interacting systems. In turn, this will allow more effective application to policy problems as such theory can inform intervention within these systems. With poor theory, data collection, analysis and interpretation can all be misdirected and misleading. This paper has suggested carrying out multimethod research, combining within-case analysis and cross-case analysis. The within-case in-depth study can provide evidence of causal mechanisms while the cross-case analysis can demonstrate the distribution of causal patterns. Additionally, set-theoretic within-case and cross-case methods are proposed, as they enable the analysis of mechanisms and 'conjunctural causation', both characteristics of causal systems. (fragment of text)
Rocznik
Tom
Numer
Strony
143--147
Opis fizyczny
Twórcy
  • Arcola Research
Bibliografia
  • Beach, D., & Rohlfing, I. (2015). Integrating cross-case analyses and process tracing in set-theoretic research: Strategies and parameters of debate. Sociological Methods & Research, 49124115613780. https://doi.org/10.1177/0049124115613780.
  • Befani, B. (2012). Models of causality and causal inference. In E. Stern, N. Stame, J. Mayne, K. Forss, R. Davies, & B. Befani (Eds.), Broadening the range of methods for impact evaluations. Retrieved from www.dfid.gov.uk/r4d/Output/189575/ Default.aspx.
  • Befani, B. (2013). Between complexity and generalization: Addressing evaluation challenges with QCA. Evaluation, 19(3), 269-283. https://doi.org/10.1177/1474022213493839.
  • Byrne, D., & Callaghan, G. (2013). Complexity theory and the social sciences (1 edition). New York: Routledge.
  • Joffe, M. (2017a). Causal theories, models and evidence in economics - some reflections from the natural sciences. Cogent Economics & Finance, 5(1), 1280983. https:// doi.org/10.1080/23322039.2017.1280983.
  • Joffe, M. (2017b). Evidence and the micro-foundations of economic growth. Economics and Business Review.
  • Lewin, K. (1951). In D. Cartwright, Field theory in social science: Selected theoretical papers. New York: Harper Row.
  • OECD. (2015). Final naec synthesis: New approaches to economic challenges.
  • OECD. (2017). New approaches to economic challenges: Towards a new narrative. Retrieved from http://oecdinsights.org/2017/06/23/we-need-an-empowering-narrative.
  • Ramos, G. (2017, June 23). We need an empowering narrative. Retrieved 17 August 2017, from http://oecdinsights.org/2017/06/23/we-need-an-empowering-narrative/.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.ekon-element-000171483040

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