Arbeitspapier
The post-Keynesian "crowding-in" policy meme: Government-led semi-autonomous demand growth
A recent literature has explored the role of semi-autonomous demand growth. This paper builds on the literature by incorporating a Lernerian government semi-autonomous demand function and an endogenous supply-side. Our main purpose is threefold. First, we wish to contribute to the case for crowding-in effects, especially in the long-run. Second, we confirm the Keynesian/Kaleckian pedigree of the capital stock adjustment principle. Third, we contrast core post-Keynesian ideas on demand-led supply-side endogeneity with the alternative neo-Marxian neo-Harrodian proposition of an exogenously-given natural growth rate, and find the latter lacking.
- Language
-
Englisch
- Bibliographic citation
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Series: FMM Working Paper ; No. 67
- Classification
-
Wirtschaft
History of Economic Thought: Macroeconomics
Current Heterodox Approaches: General
General Aggregative Models: Marxian; Sraffian; Kaleckian
Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy: General (includes Measurement and Data)
Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook: General
Monetary Growth Models
- Subject
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Fiscal policy
Crowding-in
Semi-autonomous demand
Capital stock adjustment principle
- Event
-
Geistige Schöpfung
- (who)
-
Fiebiger, Brett
- Event
-
Veröffentlichung
- (who)
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Hans-Böckler-Stiftung, Macroeconomic Policy Institute (IMK), Forum for Macroeconomics and Macroeconomic Policies (FMM)
- (where)
-
Düsseldorf
- (when)
-
2021
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Fiebiger, Brett
- Hans-Böckler-Stiftung, Macroeconomic Policy Institute (IMK), Forum for Macroeconomics and Macroeconomic Policies (FMM)
Time of origin
- 2021
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