Applied Econometrics Course unit title Applied Econometrics Course unit code EKK601 Type of course unit (compulsory, optional) Optional Level of course unit (according to EQF: first cycle Bachelor, second cycle Master) Second cycle Master Year of study when the course unit is delivered (if applicable) Year 1 Semester/trimester when the course unit is delivered Semester 2 Number of ECTS credits allocated 4.8 ects Name of lecturer(s) Rossanto Dwi Handoyo, Ph.D. Dyah Wulan Sari, Ph.D Learning outcomes of the course unit After taking this course students are able to: 1.Build a probabilistic economic model (Stochastic Model); 2.Able to process data and interpret result 3.Analyze the economy quantitatively. Thus, students are expected to be able to analyze various phenomena and empirical economics into a stochastic economic model. Mode of delivery (face-to-face, distance learning) - Face to face (offline) using LCD, OHP, Problem set and or - Distance learning (online) Prerequisites and co-requisites (if applicable) No Course content This course discusses analytical tools in quantitative form based on economics, mathematics, and statistics. The topic discussed in this lecture focuses on regression analysis that captures causality (functional) relationship. In more detail, this course material consists of simple regression, multiple regression and several functional regression models. Furthermore, it also examines the problem of violations of classical assumptions which include: multicollinearity, heteroscedasticity, autocorrelation, and specification errors. In addition, this course material also includes time-series models which include ARIMA models, bivariate and multivariate (VAR) models, Error correction Model (ECM) models, Vector Error Correction Model (VECM) models, and continued with models using panel data, simultaneous equations, and probit/logit models. Recommended or required reading and other learning resources/tools Greene, W. H. 2012. Econometric Analysis. 7th Ed. Prentice Hall. Enders, W. 2014. Applied Econometric Time Series. 4th Ed. Wiley. Baltagi, B. H. 2013. Econometrics Analysis of Panel Data. 5th Ed. Wiley. Rachev, S.T., Mittnik, S., Fabozzi, F. J., Focardi, S, M., and Jasic, T. 2007. Financial Econometrics from Basics to Advanced Modeling Techniques. Wiley. Planned learning activities and teaching methods Teaching (Classical Method), Discussion, Tutorial, Paper, case-based method. Language of instruction In Bahasa (Indonesian Language) and English Assessment methods and criteria Project/Paper (100%)