The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Agent based-stock flow consistent macroeconomics: Towards a benchmark model
Open accessAbstract
The paper moves from a discussion of the challenges posed by the crisis to standard macroeconomics and the solutions adopted within the DSGE community. Although several recent improvements have enhanced the realism of standard models, we argue that major drawbacks still undermine their reliability. In particular, DSGE models still fail to recognize the complex adaptive nature of economic systems, and the implications of money endogeneity. The paper argues that a coherent and exhaustive representation of the inter-linkages between the real and financial sides of the economy should be a pivotal feature of every macroeconomic model and proposes a macroeconomic framework based on the combination of the Agent Based and Stock Flow Consistent approaches. The papers aims at contributing to the nascent AB-SFC literature under two fundamental respects: first, we develop a fully decentralized AB-SFC model with several innovative features, and we thoroughly validate it in order to check whether the model is a good candidate for policy analysis applications. Results suggest that the properties of the model match many empirical regularities, ranking among the best performers in the related literature, and that these properties are robust across different parameterizations. Second, the paper has also a methodological purpose in that we try to provide a set or rules and tools to build, calibrate, validate, and display AB-SFC models.
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Cites
A BEHAVIORAL MODEL OF RATIONAL CHOICE
Simon, H. A. (1955) · The Quarterly Journal of Economics · doi:10.2307/1884852 · Cited by 15,877
Power-Law Distributions in Empirical Data
Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009) · SIAM Review · doi:10.1137/070710111 · Cited by 8,019
MYERS, S. C. (1984) · The Journal of Finance · doi:10.1111/j.1540-6261.1984.tb03646.x · Cited by 7,526
Power-law distributions in empirical data
Clauset, A. J., Shalizi, C. R., & Newman, M. E. J. (2018) · Figshare · doi:10.1184/r1/6586835.v1 · Cited by 6,504
Financing Constraints and Corporate Investment
Fazzari, S. M., Hubbard, R. G., Petersen, B. C., Blinder, A. S., & Poterba, J. M. (1988) · Brookings Papers on Economic Activity · doi:10.2307/2534426 · Cited by 5,574
Kiyotaki, N., & Moore, J. (1997) · Journal of Political Economy · doi:10.1086/262072 · Cited by 4,694
Agency Costs, Net Worth, And Business Fluctuations
Bernanke, B., Gertler, M., Bernanke, B., & Gertler, M. (1988) · Unknown · doi:10.22004/ag.econ.292693 · Cited by 4,386
Financing Constraints and Corporate Investment
Fazzari, S., Hubbard, R. G., & Petersen, B. (1987) · National Bureau of Economic Research · doi:10.3386/w2387 · Cited by 4,351
Stabilizing an Unstable Economy
Karamouzis, N., & Minsky, H. P. (1987) · Southern Economic Journal · doi:10.2307/1059346 · Cited by 3,337
Myers, S. C. (1984) · The Journal of Finance · doi:10.2307/2327916 · Cited by 3,141
Cited by
Random Forest Based Feature Selection of Macroeconomic Variables for Stock Market Prediction
Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2019) · American Journal of Applied Sciences · doi:10.3844/ajassp.2019.200.212 · Cited by 74
Metadata
- Authors
- Caiani, A., Godin, A., Caverzasi, E., Gallegati, M., Kinsella, S., & Stiglitz, J. E.
- Venue
- Journal of Economic Dynamics and Control
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 69
- Pages
- 375-408
- ISSN
- 0165-1889 (ISSN-L)
- OpenAlex
- W3122161814
- Cited by
- 336
- References
- 89
- FWCI
- 76.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Caiani, A., Godin, A., Caverzasi, E., Gallegati, M., Kinsella, S., & Stiglitz, J. E. (2016). Agent based-stock flow consistent macroeconomics: Towards a benchmark model. Journal of Economic Dynamics and Control. https://doi.org/10.1016/j.jedc.2016.06.001
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.