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We propose a new framework for modelling time dependence in duration processes on financial markets. The well known autoregressive conditional duration (ACD) approach introduced by Engle and Russell (1998) will be extended in a way that allows the conditional expectation of the duration process to depend on an unobservable stochastic process, which is modelled via a Markov chain. The Markov switching ACD model (MSACD) is a very flexible tool for description and forecasting of financial duration processes. In addition the introduction of an unobservable, discrete valued regime variable can be justified in the light of recent market microstructure theories. In an empirical application we show, that the MSACD approach is able to capture several specific characteristics of inter trade durations while alternative ACD models fail. Furthermore, we use the MSACD to test implications of a sequential trade model.
We propose a new framework for modelling the time dependence in duration processes being in force on financial markets. The pioneering ACD model introduced by Engle and Russell (1998) will be extended in a manner that the duration process will be accompanied by an unobservable stochastic process. The Discrete Mixture ACD framework provides us with a general methodology which puts the idea into practice. It is established by introducing a discrete-valued latent regime variable which can be justified in the light of recent market microstructure theories. The empirical application demonstrates its ability to capture specific characteristics of intraday transaction durations while alternative approaches fail. JEL classification: C41, C22, C25, C51, G14.
Comparison of MSACD models
(2003)
We propose a new framework for modelling time dependence in duration processes on financial markets. The well known autoregressive conditional duration (ACD) approach introduced by Engle and Russell (1998) will be extended in a way that allows the conditional expectation of the duration process to depend on an unobservable stochastic process which is modelled via a Markov chain. The Markov switching ACD model (MSACD) is a very flexible tool for description and forecasting of financial duration processes. In addition, the introduction of an unobservable, discrete valued regime variable can be justified in the light of recent market microstructure theories. In an empirical application we show that the MSACD approach is able to capture several specific characteristics of inter trade durations while alternative ACD models fail. JEL classification: C22, C25, C41, G14
Die vorliegende Analyse untersucht die Beschäftigungseffekte von Vermittlungsgutscheinen und Personal-Service-Agenturen mit Hilfe einer makroökonometrischen Evaluation. Neben einer mikroökonometrischen Evaluation, welche die Wirkungen auf individueller Ebene untersucht, kann eine makroökonometrische Analyse Aussagen über die gesamtwirtschaftlichen Effekte der Maßnahmen machen. Die strukturellen Multiplikatorwirkungen im makroökonomischen Kreislaufzusammenhang werden jedoch nicht berücksichtigt. Das ökonometrische Modell zur Analyse der beiden Maßnahmen basiert auf einer Matching-Funktion, die den Suchprozess von Firmen und von Arbeitern nach einem Beschäftigungsverhältnis abbildet. Die empirischen Analysen werden getrennt für Ost- und Westdeutschland sowie für die Strategietypen der Bundesagentur für Arbeit durchgeführt. Sie zeigen, dass die Ausgabe von Vermittlungsgutscheinen nur in „großstädtisch geprägten Bezirken vorwiegend in Westdeutschland mit hoher Arbeitslosigkeit“ (Strategietyp II) einen signifikant positiven Effekt auf den Suchprozess hat. Für die Personal-Service-Agenturen zeigen sich signifikant positive Effekte für Ost- als auch für Westdeutschland. Allerdings fehlt für eine abschließende Bewertung der Ergebnisse für die Personal- Service-Agenturen aufgrund der relativ geringen Teilnehmerzahl noch ein Vergleich mit mikroökonometrischen Analysen.
This paper investigates the macroeconomic effects of job creation schemes and vocational training on the matching processes in West Germany. The empirical analysis is based on regional data for local employment office districts for the period from 1999 to 2003. The empirical model relies on a dynamic version of a matching function augmented by ALMP. In order to obtain consistent estimates in the presence of a dynamic panel data model, a first-differences GMM estimator and a transformed maximum likelihood estimator are applied. Furthermore the paper considers the endogeneity problem of the policy measures. The results obtained from our estimates indicate that vocational training does not significantly affect the matching process and that job creation schemes have a negative effect. JEL Classification: C23, E24, H43, J64, J68
Most evaluation studies of active labour market policies (ALMP) focus on the microeconometric evaluation approach using individual data. However, as the microeconometric approach usually ignores impacts on the non-participants, it should be seen as a first step to a complete evaluation which has to be followed by an analysis on the macroeconomic level. As a starting point for our analysis we discuss the effects of ALMP in a theoretical labour market framework augmented by ALMP. We estimate the impacts of ALMP in Germany for the time period 1999-2001 with regional data of 175 labour office districts. Due to the high persistence of German labour market data the application of a dynamic model is crucial. Furthermore our analysis accounts especially for the inherent simultaneity problem of ALMP. For West Germany we find positive effects of vocational training and job creation schemes on the labour market situation, whereas the results for East Germany do not allow profound statements. JEL Classification: C33, E24, H43, J64, J68.