Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt.

Agent Based Models for Economic Policy Advice

Sonderausgabe von Heft 2+3/Bd. 228 Jahrbücher für Nationalökonomie und Statistik
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9783110508840
Veröffentl:
2016
Seiten:
109
Autor:
Blake Lebaron
Serie:
Jahrbuch des Dokumentationsarchivs des österreichischen Widerstandes
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch
Beschreibung:

This special issue of the Journal of Economics and Statistics is devoted to the use of agent-based models for economic policy advice. It presents a collection of research papers in different fields of applications. Special emphasis is laid on discussing the potential and possible limitations of agent-based models for economic policy advice. The editorial provides an overview on the role of agent-based modeling in economic policy referring also to the papers presented. Furthermore, it highlights the strength of the approach, i.e., the explicit microfoundation and the modeling of heterogenous agents. Finally, we also report on current limitations of the method with regard to economic policy advice and point at some areas deserving further research.
Frontmatter -- Inhalt / Contents -- Abhandlungen / Original Papers -- Introduction to the Special Issue on Agent-Based Models for Economic Policy Advice -- Agent-Based Simulations for Electricity Market Regulation Advice: Procedures and an Example -- Multi-Agent Transport Simulations and Economic Evaluation -- The Use of Agent-Based Financial Market Models to Test the Effectiveness of Regulatory Policies -- Who Does a Currency Transaction Tax Harm More: Short-Term Speculators or Long-Term Investors? -- Skills, Innovation, and Growth: An Agent-Based Policy Analysis -- Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model -- Backmatter

Kunden Rezensionen

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.

Google Plus
Powered by Inooga