Public Finance

Knowledge of Reseach methods: 6 CREDITS

Course	Credits
1. Research design	3
The course provides students with methodological thinking and research skills on economic, statistical and financial topics. The main research design skill that economics graduate students need is the ability to identify a problem and evaluate interventions to solve it in a way that contributes new knowledge and new solutions. Research design course will help students identify, formulate and develop a research problem, design a research framework to solve that problem, transform the problem into a research question, based on the research framework. The research has been designed on the basis of a review of theories and previous studies, and the student will choose an appropriate research method to collect and analyze qualitative and quantitative evidence to answer the question. research questions and finally write research reports. This course is presented mainly using the case analysis method. Lecturers will introduce and suggest cases, readings, and research articles associated with a research design process according to international practices for graduate students to analyze, evaluate and comment on. Through case study analysis, the lecturer guides the students to grasp the main content in each subject of the subject. PhD students will have to base on their existing research ideas and apply them to all topics of the subject with each step in the research sequence from developing research problems, surveying to finding research gaps. , design research framework, select research methods, design data collection samples or select research data collection sources according to qualitative or quantitative or mixed approach, synthesize into a research proposal in the direction of step-by-step perfection in order to create added value in the quality of the research proposal of the research topic that the PhD student is pursuing.
2. Econometrics	3
This is the econometrics course at the graduate level for PhD candidate. The most basic issues of econometrics are covered in the module in a modern approach so that students can have a solid background about econometric methods. This module offers both theoretical and practical knowledge including multiple linear regression, ordinary least squares, heteroskedasticity, autocorrelation, generalized least squares, endogeneity, instrumental variables and two stage least squares. The course also deals with multicollinearity, regression with qualitative independent variables and non-linear regression models. The econometrics for PhD candidates also aim to equip the necessary skills to apply econometric models and methods in conducting empirical research. The softwares used to support for analysisng data are Eviews/Stata/R. After finishing the module, PhD candidates can deeply understand the advantages and disadvantages of each method and model, so they are able to choose the most suitable methods for their research, analyze and interpret the regression results. They can use these knowledges to review research papers that apply econometric methods.

Specialized research knowledge: 14 CREDITS

Course	Credits
3. Advanced microeconomic theory	3
This course introduces key foundations of microeconomic theory. The course contains three main sections: (1) Production theory; (2) consumer choice and demand theory; and (3) Choice under uncertainty. Topics covered include production function, cost function, profit function, technical change and measurement, preferences, consumer choice, utility maximization, cost minimization, welfare evaluation of price changes, expected utility theory, risk aversion, and prospect theory. These topics will be mainly presented and discussed theoretically. Problem sets for key sub-topics will be provided.
4. Economics of public sector	3
The government collects the budget and borrows to finance spending activities for the common interest of the country such as infrastructure development, general education, disease prevention, social security, national security, and national security. prevention, security, economic growth support, job creation, inflation control, environmental protection, etc. Fiscal economics is a subject of trade-off analysis or benefit-cost analysis in revenue and expenditure activities of government levels from central to local levels. After discussing the functions of central and local finance, the Symposium provides a theoretical framework and an analytical framework for decentralization of finance at all levels for graduate students to continue to develop key theories and policy suggestions in this field first in their own country and as a reference for the international community. In addition, the module also discusses the causes, forms and levels of budget deficit along with an analysis framework for deficit financing methods. Finally, this module devoted an indispensable content to analyze the role of government debt and local government
5. Public finance policy theory	3
New challenges in socio-economic development at national and international levels such as climate change, population aging, economic crisis, cultural-political conflicts, clean energy, digital transformation, … requires innovative policies that transcend institutional and principled barriers and limitations. Public policy is an important tool to respond to these challenges. Public policy is needed to foster cross-sectoral and inter-regional collaboration, at the local and international levels. The Public Policy Theory module equips students with in-depth scientific processes and methods to analyze and research policy in a wide range of fields and policies in order to contribute to theoretical and practical foundations. evidence of an effective public policy process and implementation.
6. Modeling and simulation in economics and finance	3
This module provides students with Bayesian numerical and econometric methods applied to economic and financial simulation. Students will work with two popular statistical programming languages, i.e. Matlab and Python/R, to solve and simulate economic shock impulses-responses of some basic DSGE (Dynamics stochastic general equiblirium) models. In addition, students are encouraged to discuss and develop advanced time series analysis such as coding up Bayesian time-varying econometric models used in the thesis.
7. Research topics in public finance	2
This module is designed to: i) guide PhD students in conducting a systematic review of research in the field of public finance; ii) help Fellows to master a number of important and current research topics in public finance and related fields; iii) suggest to the Fellows methods to identify research gaps in public finance and related fields; iv) practice for PhD students skills in searching documents, reading specialized literature, analyzing and discussing research in public finance and related fields. This module combines theoretical sessions and requires students to practice. First, the module provides an overview of research topics in public finance and related fields. PhD students are then asked to step by step establish a systematic research review with the topic of their choice. At the end of the module, the Fellow is able to undertake a systematic research overview on a topic in public finance. At the same time, PhD students can develop skills to conduct systematic research reviews in the field of public finance.

Specialized research knowledge: 20 CREDITS

Course	Credits
8. Workshop	8
The module requires PhD students to complete the following tasks: - Attend at least 80% of seminars/seminars organized by Faculty of Public Finance.
9. Doctoral Seminar 1	4
PhD Students organize 3 seminars at faculty level or higher to present research topics of the doctoral thesis corresponding to each research stage. The content of the topics can be articles published by students in recognized specialized scientific journals, or as a topic or chapter of a doctoral thesis.
10. Doctoral Seminar 2	4
PhD Students organize 3 seminars at faculty level or higher to present research topics of the doctoral thesis corresponding to each research stage. The content of the topics can be articles published by students in recognized specialized scientific journals, or as a topic or chapter of a doctoral thesis.
11. Doctoral Seminar 3	4
PhD Students organize 3 seminars at faculty level or higher to present research topics of the doctoral thesis corresponding to each research stage. The content of the topics can be articles published by students in recognized specialized scientific journals, or as a topic or chapter of a doctoral thesis.
12. Research paper 1

13. Research paper 2

Doctoral dissertation knowledge: 50 CREDITS

Course	Credits
14. Research Proposal	8

15. Doctoral thesis	42

Total credits: 90 CREDITS