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SSRN Electronic Journal
Article . 2003 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2003
Data sources: EconStor
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Project Selection, Income Smoothing and Bayesian Learning

Authors: Gaber, Christian;

Project Selection, Income Smoothing and Bayesian Learning

Abstract

The use of fixed capital budgets is an empirically well-documented phenomenon in business practice. Whensoever some profitable investment opportunities cannot be realized, managers have to make investment decisions between mutually exclusive investment opportunities. In a multiperiod agency setting this paper analyses accounting rules that provide managerial incentives for efficient project selection when a short-sighted manager is rewarded based on residual income. Before having access to profitable investment opportunities the agent has to expend unobservable effort. At each date the less informed principal observes a noisy cash flow signal which is informative about the agent's investment decision. By updating prior beliefs the principal faces a trade-off between agency costs resulting from differences in discount rates and the benefits resulting from the information content of the noisy cash flow signals.

Country
Germany
Keywords

330, M41, Betriebliche Wertschöpfung, Investitionsentscheidung, Investment Incentives, Projektbewertung, G31, Performance Measurement, Prinzipal-Agent-Theorie, Residual Income, ddc:330, D82, Bilanzierungsgrundsätze, Bayes-Statistik, Lernprozess, Theorie, jel: jel:D82, jel: jel:M41, jel: jel:G31, ddc: ddc:330

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
bronze