By Jan Beran, Yuanhua Feng, Hartmut Hebbel
The objective of this publication is to set up a connection among the conventional box of empirical monetary study and the rising zone of empirical monetary examine and to construct a bridge among theoretical advancements in those components and their program in perform. for this reason, it covers extensive subject matters within the conception and alertness of either empirical monetary and fiscal learn, together with research of time sequence and the enterprise cycle; various forecasting tools; new versions for volatility, correlation and of high-frequency monetary information and new techniques to panel regression, in addition to a couple of case stories. many of the contributions replicate the state-of-art at the respective topic. The ebook deals a priceless reference paintings for researchers, collage teachers, practitioners, executive officers and graduate and post-graduate scholars, in addition to an immense source for complicated seminars in empirical monetary and fiscal research.
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Additional info for Empirical Economic and Financial Research: Theory, Methods and Practice
Zeitreihenanalyse in der empirischen Wirtschaftsforschung (pp. 67– 81). Festschrift für Winfried Stier zum 65. Geburtstag, Stuttgart: Lucius & Lucius. , & Michels, P. (1994). Deskriptive und Explorative Datenanalyse. München/Wien: Oldenbourg. Heuer, C. (1991). Ansätze zur simultanen Schätzung von Trend- und Klimaparametern in Jahrringreihen aus der Dendrologie. Diplomarbeit Fachbereich Statistik, Universität Dortmund. Kitagawa, G. (1985). A smoothness priors-time varying AR coefficient modelling of nonstationary covariance time series.
T/ resp. weight matrices W1 and seen in Sect. 2 the weight vectors w W2 must be calculated and multiplied by the respective data vector for each moving support window. Trend and season in these observational point then are given by xO 1 D W1 y and xO 2 D W2 y in each support window. The big advantage of this approach is that the weight matrices have to be calculated only once (invariance against shift). While estimating “in the middle” of the data there are m different supports areas around a point t which can be used for estimation in point t.
S. Department of Commerce, Bureau of the Census. -Th. (2006). 1 procedure for decomposing and seasonally adjusting economic time series. Wiesbaden: Statistisches Bundesamt. Statistisches Bundesamt. (2013). Volkswirtschaftliche Gesamtrechnungen. 3, 1. Vierteljahr 2013 Wiesbaden. , & Kuhbier, P. (2001a). Methoden der Trendabschätzung zur Überprüfung von Reduktionszielen im Gewässerschutz. Umweltbundesamt, Berlin (Texte 49/01, UBA-FB 00204). , & Kuhbier, P. (2001b). Trend methods for the assessment of effectiveness of reduction measures in the water system.