Arbeitspapier

Decomposing excess returns in stochastic linear models

We present a theorem helpful in estimating the mean and variance of a linear function with arbitrary multivariate randomness in its coefficients and variables. We derive a generalized decomposition result from two random linear functions in which the result can be applied to most models using event study analysis. Taking the 1989 minimum wage hike as an example, we found that the apparent lack of an effect is a consequence of two off-setting forces: 1) a negative effect arising from firm-specific traits and 2) a positive effect arising from market performance. In sum, we bring to the analysis a method that helps provide additional insights and can be applied to much of the work using event study.

Sprache
Englisch

Erschienen in
Series: IZA Discussion Papers ; No. 6237

Klassifikation
Wirtschaft
Information and Market Efficiency; Event Studies; Insider Trading
Wage Level and Structure; Wage Differentials
Wages, Compensation, and Labor Costs: Public Policy
Thema
excess returns
minimum wage
decomposition
event study
Ökonometrisches Modell
Stochastischer Prozess
Dekompositionsverfahren
Event Study
Mindestlohn
Wirkungsanalyse
Gewinn
Schätzung
USA

Ereignis
Geistige Schöpfung
(wer)
Lin, Carl
Ereignis
Veröffentlichung
(wer)
Institute for the Study of Labor (IZA)
(wo)
Bonn
(wann)
2011

Handle
URN
urn:nbn:de:101:1-201202285068
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Lin, Carl
  • Institute for the Study of Labor (IZA)

Entstanden

  • 2011

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