Diplomandenseminar

Dozent/in:

Christian Proaño

Angaben:

Seminar, 2 SWS

Termine:

Zeit und Ort nach Vereinbarung Ort und Zeit nach Vereinbarung

V/S: Advanced Macroeconomics

Dozent/in:

Christian Proaño

Angaben:

Vorlesung, 2 SWS, ECTS: 6

Termine:

Mo, 12:00 - 14:00, F21/02.18
Erster Termin: 21.10.2019

Inhalt:

Macroeconomic analysis is primarily concerned with two issues: (i) developing positive models in order to understand the dynamics of key macroeconomic variables such as output, employment, unemployment, inflation, interest rates, etc.; and (ii) deriving normative prescriptions for macroeconomic policymaking, in particular regarding the proper setting of fiscal and monetary policies. The course begins with a discussion of empirical facts regarding business cycles and growth to be explained by macroeconomic models and then provides an example of the role of economic policy as a macroeconomic stabilization mechanism based on a traditional reduced-form model of the macro-economy. The second part of the course deals in more detail with several building blocks for macroeconomic models based on intertemporal optimization along the neoclassical tradition. The third part of the course focuses in contrast on the caveats of this theoretical framework, as well as on the alternative modeling approaches.

V/S: Angewandte Wirtschaftsforschung 1: Macroeconometric Analysis

Dozent/in:

Christian Proaño

Angaben:

Vorlesung, 2 SWS, ECTS: 6

Termine:

Mi, 14:00 - 16:00, FMA/01.20
Erster Termin: 23.10.2019

Inhalt:

This course focuses on advanced methods for macroeconometric analysis. After a brief review of univariate covariance-stationary processes and the ARMA model class, alternative time series decomposition methods such as the Hodrick-Prescott Filter as well as frequency-based filtering methods such as the Baxter-King Filter are discussed. Still in the covariance-stationary domain, the VAR model class for the analysis of multivariate covariance-stationary processes is discussed in detail. As next, non-stationary time series processes are introduced, as well as the main unit root tests. On this basis, the concept of cointegration, as well as the corresponding VECM model class is introduced and discussed in detail. Time permitting, other advanced frameworks for the modeling of different types of nonlinear behavior will be discussed.