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
  1. Greene, W. H. 2012. Econometric Analysis. 7th Ed. Prentice Hall.
  2. Enders, W. 2014. Applied Econometric Time Series. 4th Ed. Wiley.
  3. Baltagi, B. H. 2013. Econometrics Analysis of Panel Data. 5th Ed. Wiley.
  4. 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%)