An interdisciplinary model for macroeconomics

By Andrew G. Haldane, Arthur E. Turrell. 2018

119 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/46f508d027e989b180888cfb43a620873066ce70

Citations in the corpus

• Modelling innovation and the macroeconomics of low-carbon transitions: theory, perspectives and practical use (2019, unknown): “…to representations of money and finance in models, particularly in the field of energy-economy modelling (Grubb et al., 1993; Grubb et al., 2002; Grubb et al., 2006), as computational experiments with finance have been made outside of the field (Battiston et al., 2016; Haldane & Turrell, 2018).”
• A Financial Macro-Network Approach to Climate Policy Evaluation (2018, unknown): “, 2016) nor DSGE (Romer, forthcoming; Blanchard, 2018; Haldane and Turrell, 2018; Stiglitz, 2018) are appropriate to adequately account for the drivers of endogenous feedbacks between interconnected financial actors, the nonlinearities and tipping points that characterize climate change, and the sho”
• Economic Forecasting with an Agent-Based Model (2020, unknown): “2 Related literature Since their beginnings in the 1930s,7 ABMs have found widespread application as an established method in various scientific disciplines (Haldane and Turrell, 2018), for example, military planning, the physical sciences, operational research, biology, ecology, but less so in econ”
• Behavioral & Experimental Macroeconomics and Policy Analysis: A Complex Systems Approach (2018, unknown): “the extensive survey in Hommes (2006) and, more recently, the survey in Dieci & He (2018). The main learning mechanism here is a form of evolutionary selection among different forecasting models with agents gradually switching to better performing rules (Brock & Hommes (1997))(15).”