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17-18秋季学期英文课程 English courses

2017-11-14   

English for Economics Majors   (2 credits)

 

Anthony Howell   Monday 13:00-14:50    2nd Teaching Building 206

 

This course is open to all economics majors and integrates basic principles from micro- and macro-economics to the study of issues related to urban and regional economics, real estate, public economics and finance. The motivation for this course is straightforward. In 1800, Beijing was the only city in the world with a population of more than 1 million. In 1900, only 16 cities had a population over 1 million, with roughly 10% of the world’s population living in urban areas.

By the year 2000, 378 cities had over 1 million people, accounting for nearly half of the global population. This dramatic rise of the spatial economy requires a closer look. What explains this explosive growth of cities and of the urbanization rate over the last 100 years? How do firms and individuals decide where to locate? How is the price of land determined? How can we address current urban problems like urban crime, poverty, traffic congestion, sprawl, gentrification and pollution? Discussions will be geared towards answering these questions, looking specifically at the role of public and private policies that impact the urban form, structure and economy.

 

Syllabus

Review of Basic Economic Concepts

Week 1: Demand and Supply, Costs and Benefits, Elasticity, Consumer’s Surplus

Week 2: Externalities, Property Rights and Institutions

Week 3: Basic National Income Accounting, the Aggregate Economy, and Real Estate

Urbanization, Market Forces and the Development of Cities

Week 4: Introduction to Urbanization

Week 5: Why do Cities Exist? Comparative Advantage and Trade; Economies of Scale

Week 6: Why do Firms Cluster? Agglomeration Economies

Week 7: Urban Growth and Development

Week 8: Land Use, Transportation and "Urban Sprawl"

Week 9: Crime

Public Economics: Housing, Real Estate Market and Local Governance

Week 10: Why is Housing Different?

Week 11: Market Areas and Central Places

Week 12: Housing Policy

Week 13: Role of Local Government

Week 14: Local Government Revenue

Student Presentations

Week 15: Group Presentations (1)

Week 16: Group (Presentations (2)

 

 


 

Economic Geography   (2 credits)

 

Anthony Howell

 

Monday 15:10-17:00    3rd Teaching Building 404

 

"Economic Geography" is a major component of geography, which is the most developed sub-discipline in most National Geographic Science Systems. The development and characteristics of economic geography, on one hand, are closely related to the development of economic activities. On the other hand, they are greatly influenced by geography, economics and other related disciplines. As an independent discipline, economic geography has only a history of over a hundred years. However, its origin and development can be traced further.

 


 

 

Applied Econometrics   (2 credits)

 

QIN Xuezheng

 

Thursday 15:10-17:00    1st Teaching Building 103

 

Course De1111ion

Objective

This course provides you with a general understanding of the econometric modeling tools frequently used in the empirical economic studies. The topics covered include linear regressions and the selection of functional forms, heteroskedasticity and serial correlation, the basic and more advanced time series techniques, pooled cross-sectional and panel data models, models for binary choice and limited dependant variables, endogeneity and instrumental variable estimation, simultaneous equation models, etc. The computer programming techniques to implement the above models will also be taught using the SAS software. In addition, you will get a taste of empirical research using the real-world data by conducting an independent research project.

Pre-requisites /Target audience

The course is intended for third or fourth year undergraduate students majoring in Economics, Finance, Management, Public Policy or other social science fields. It is expected that you are already familiar with the basic set-up and derivation of the linear regressions through an introductory econometrics / statistics course. The purpose of this course is to enable you to apply the econometric modeling tools to solve the real economic problems rather than teach you the mathematical derivation of each model.

Proceeding of the Course

The course will be delivered through lectures, student presentations and discussions. Students’ participation is strongly encouraged. In each lecture, 1-2 students will be requested to present the assigned SAS computer exercise for demonstration purpose, in which they should summarize the programming techniques and comment on the outputs. In the last session of the course, 4-6 students will be invited to present their term paper summarizing the research topic, econometric methods and major findings. Each presentation lasts for 20-30 minutes, and sign-ups are on a first-come-first-served basis.  

Assignments (essay or other forms)

Computer programming exercises will be assigned for each lecture. The final deliverable of this course is a term paper based on the student’s independent empirical research.

Evaluation Details

1) Research Proposal: 30%

2) Term Paper: 50%

3) Class Attendance and Presentation: 20%

Text Books and Reading Materials

Required Textbook:

Introductory Econometrics: A Modern Approach (6th edition), by Jeffrey Wooldridge, Cengage Learning, 2015.  

Supplemental Materials (Optional):

1)         Applied Econometrics: EViews and SAS Examples, by Xuezheng Qin, Peking University Press, 2016 (in Chinese).

2)         Mostly Harmless Econometrics: An Empiricist`s Companion, by Joshua D. Angrist and Jorn-Steffen Pischke, Princeton University Press, 2008.

3)         The Little SAS Book: A Primer (3rd Edition), by Lora D. Delwiche and Susan J. Slaughter, SAS Publishing, 2003.

 

Academic Integrity (If necessary)

Academic integrity is highly expected. Cheating of any sort will result in an automatic Fail for the course, and will be reported to the university authorities.

 

CLASS SCHEDULE

(Subject to adjustment)

Session 1Title  Introduction to Econometric Modeling

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
This session serves as a general introduction to econometrics, its main modelling approaches, and the commonly seen data types and programming tools. 
Questions
What are the major steps in carrying out an empirical research project? What are the four forms of data commonly seen in econometric analysis? What are the three main types of estimation models? What are the main categories of computer software for the implementation of econometric models? 
Readings, Websites or Video Clips
Wooldridge (2015): Chapter 1, 19
Assignments for this session (if any)
Computer Exercise 1-1

Session 2Title Introduction to SAS Programming

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
This session serves as a general introduction to SAS computer software and its programming techniques. 
Questions
How to set up a data library in SAS? How to create a permanent / temporary dataset? How to read in the data from various sources? How to use DATA step for data management tasks and to combine multiple datasets? How to use PROC step to perform de1111ive statistical analysis? 
Readings, Websites or Video Clips
The Little SAS Book: A Primer (3rd Edition), by Lora D. Delwiche and Susan J. Slaughter, SAS Publishing, 2003.
Assignments for this session (if any)
Computer Exercise 2-1

Session 3Title  Ordinary Least Squares and Hypothesis Testing

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
In this session, we will discuss the Ordinary Least Squares method to estimate linear regression models and the common methods for testing linear hypothesis. 
Questions
What are the key assumptions and steps for OLS estimation? What are the statistical properties of OLS estimator? How to interpret the results of regressions of four types of functional forms? How to use the t / F tests for linear hypotheses on single / multiple parameters?
Readings, Websites or Video Clips
Wooldridge (2015): Chapter 2, 3, 4
Assignments for this session (if any)
Computer Exercise 3-1, 3-2

Session 4Title Dummy Variables, Time Trend and Seasonality

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
In this session, we will discuss the issues of using dummy variables in a linear regression, the impacts and correction methods of time trend and seasonality. 
Questions
What are the purposes of using dummy variables? How to interpret the coefficient estimates of dummy variables and their higher order terms? What are the impacts of time trend and seasonality in a regression model? What are the common approaches for de-trending and de-seasonality? What are the consequences of the following model specification errors: omitting a variable in a regression, including irrelevant explanatory variable in a regression, measurement errors in the dependent/ independent variables, and Multicollinearity? The purposes and choices of the goodness of fit measures. 
Readings, Websites or Video Clips
Wooldridge (2015): Chapter 6, 7, 9 
Assignments for this session (if any)
Computer Exercise 4-1, 4-2

Session 5Title Heteroskedasticity and Serial Correlation

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
In this session, we will discuss the impacts and correction methods of heteroskedasticity and serial correlation. 
Questions
What are the definition and impacts of heteroskedasticity and serial correlation? How to test on the existence of heteroskedasticity and serial correlation? How to correct for heteroskedasticity and serial correlation? How to implement the (Feasible) Generalized Least Squares estimation? 
Readings, Websites or Video Clips
Wooldridge (2015): Chapter 8, 12
Assignments for this session (if any)
Computer Exercise 5-1, 5-2

Session 6Title Classical Time Series Models

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
In this session, we will discuss the basic structure and classical estimation models for time series data. 
Questions
What are the basic structure of a time series? What are the properties and testing methods for a stationary time series? How to transform a non-stationary series to a stationary series? How to use the Box-Jenkins approach to estimate an ARIMA model? 
Readings, Websites or Video Clips
Wooldridge (2015): Chapter 10, 11 
Assignments for this session (if any)
Computer Exercise 6-1

Session 7Title Time Series - Advanced Topics

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
In this session, we will discuss the more advanced models in time series analysis, including the VAR models, the ARCH and GARCH models, and the unit root tests. 
Questions
How to set up an VAR model to estimate the inter-relationship among economic variables? How to perform Granger causality tests and impulse response analysis within the VAR model? How to use the ARCH and GARCH models to account for stochastic volatility in performing time series forecast? How to use the DF, ADF, and PP tests to detect the unit root problem in a time series? 
Readings, Websites or Video Clips
Wooldridge (2015): Chapter 18
Assignments for this session (if any)
Computer Exercise 7-1, 7-2

Session 8Title Pooling Time Series and Cross Sections

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
In this session, we will discuss the estimation models for pooled cross-section data, including structural break tests, Difference-in-Difference estimation, etc. 
Questions
What are the purposes of pooling independent cross-section datasets? How to use the separate / pooled regression approaches to test for structural breaks within pooled cross-sections? How to use the separate / pooled sample approaches to perform the DID estimation? What are the strengths and limitations of the DID estimator? 
Readings, Websites or Video Clips
Wooldridge (2015): Chapter 13
Assignments for this session (if any)
Computer Exercise 8-1, 8-2

Session 9Title Panel Data Models

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
In this session, we will discuss the commonly used techniques in dealing with panel data, including the first-difference estimation, the fixed and random effect models, etc. 
Questions
What are the main features of panel data? How to use the FD, FE, and RE models to account for time-invariant heterogeneity in the panel data, and what are the main differences between these models? How to use the Hausman’s specification test to choose between the FE and RE models? 
Readings, Websites or Video Clips
Wooldridge (2015): Chapter 14
Assignments for this session (if any)
Computer Exercise 9-1

Session 10Title Binary Choice Models

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)

In this session, we will discuss the estimation approaches for binary choice models, including the Linear Probability Model, the Probit Model, and the Logit Model.

Questions

What are the advantages and disadvantages of using LPM to model a binary response? How to use the MLE method to estimate a Probit / Logit model? How to calculate the partial effects and perform MLE-based hypothesis tests in a Probit / Logit model?

Readings, Websites or Video Clips

Wooldridge (2015): Chapter 17

Assignments for this session (if any)

Computer Exercise 10-1

Session 11Title Endogeneity and IV Estimation

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)

In this session, we will discuss the causes and consequences of the endogeneity problem, and the estimation solutions involving the use of instrumental variables.

Questions

What are the main sources of endogeneity? What are the consequences of using OLS in presence of endogeneity? What are the two basic requirement for an IV? What are the statistical properties of an IV estimator? How to use 2SLS procedure to obtain the IV estimates in a linear model? How to use the Hausman test to detect endogeneity? How to use the Sargan-Bassman test to verify the exclusion restriction of the IV estimator?

Readings, Websites or Video Clips

Wooldridge (2015): Chapter 15

Assignments for this session (if any)

Computer Exercise 11-1

Session 12Title Simultaneous Equation Models

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
In this session, we will discuss the models for the system of regression equations, including the Seemingly Unrelated Regressions Model and the Simultaneous Equations Model. 
Questions
What are the differences between the system estimation approach and the single equation approach? How to use the SUR model to control for contemporaneous correlation among equations? How to use the SEM model to address the simultaneity bias in a equation system? How to use the order condition and rank condition to verify if a structural equation is identifiable? What are the differences between the 2SLS and 3SLS approaches in estimating an SEM model? 
Readings, Websites or Video Clips
Wooldridge (2015): Chapter 16
Assignments for this session (if any)
Computer Exercise 12-1, 12-2

 

 

 

 


 

Corporate Finance    (3 credits)

 

CUI Wei

 

Tuesday 15:10-18:00     Natural Science Teaching Building 403

Final exam on 9th January, 2018

 

Course De1111ion

Objective

This is a first class in Corporate Finance. This class involves the answers to three questions. First is the capital budgeting decision, which is about what long term investments should the firm take on. Second is the financing decision, which is about how can cash be raised for the required investment. Lastly, it examines short-term finance, concerns net working capital, and discusses the way the firm manage its day-to-day cash and financial affairs.

 

At the end of this course, students should be able to think analytically about portfolio selection, corporate decision making and asset pricing. These skills can also be used as personal financial decisions.

Pre-requisites /Target audience

There are no pre-requisites for the course.

Proceeding of the Course

The Course will almost basically follow the main textbook. The lectures on capital budgeting decision will be on the first half of the quarter. Capital structures decisions and the combinations of the two will be discussed on the second half of the quarter.

Assignments (essay or other forms)

Four Homeworks and Three Case Studies on the topic of Capital Budgeting and Capital Structure Decisions.

Evaluation Details

The grade will be based on class participation and presentation (20%), homework (20%) and a final exam (60%).

 

The success of the course will depend on your effort and participation.

 

Text Books and Reading Materials

Required Text:

Ross, Westerfield and Jaffe, Corporate Finance.

SupplementalReading:

1 Malkiel, A Random Walk Down Wall Street Ch6, 7, 8

2 Cui, Wei Behavioral Finance Ch2, 13, 14, 15

 

RWJ looks mainly at Corporate Financial decisions, while the Malkiel text uses some of the ideas learned in the course to individual investment decisions in the stock market.

 

Academic Integrity (If necessary)

 

CLASS SCHEDULE

(Subject to adjustment)

Session 1Introduction to Corporate Finance

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
  Topics cover the Forms of Business organization; The Goal of Financial Management; The main topics of Corporate Finance; The identification of Cash Flows; The Principal-Agent Problem
Questions
Readings, Websites or Video Clips

Bolton, P. and D. Scharfstein, 1998, “Corporate Finance, the Theory of the Firm, and Organizations`”, Journal of Economic Perspectives, 12(4), 95-114.

 
Assignments for this session (if any)

Session 2Interest Rate Mathematics and Net Present Value

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Topics cover the one-period and multi-periods Case; Compounding Periods; The Net Present Value (NPV) and its Decision Rule with some Simplifications.
Questions
Readings, Websites or Video Clips
Assignments for this session (if any)
  Homework 1. 

Session 3The Real World Applications of NPV

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Topics cover the ways to calculate operating cash flows and total cash flows; Inflation and Cash Flows; Investments of Unequal Lives; Decision Tree; Sensitivity Analysis; the Real Options.
Questions
Readings, Websites or Video Clips
Assignments for this session (if any)

Session 4 The Alternative Investment Criteria

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Topics cover the Paypack Period; The Internal Rate of Return; The Profitability Index
Questions
Readings, Websites or Video Clips

The Theory and Practice of Corporate Finance: Evidence from the Field”, Journal of Financial Economics, 60(2), 187-243.

Assignments for this session (if any)
Case Study 1

Session 5The Valuation of Financial Obligations: Bonds and Stocks

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Topics cover the Types of Bonds; Valuation of Bonds; Bond Market Reporting; Valuation of Stocks: DDM Model and NPVGO model; Stock Market Reporting.
Questions
Readings, Websites or Video Clips
Assignments for this session (if any)
Homework 2.

Session 6Risk and Return

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
   Topics cover historical Information on Risk and Return; Relationship Between risk and Expected Return.
Questions
Readings, Websites or Video Clips
Markowitz, H. “Travels along the Efficient Frontier”. Dow Jones Asset management, May/June, 1997.
Assignments for this session (if any)
Case Study 2.

Session 7Capital Structure Decision: Part I

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Topics cover the Weighted Average Cost of Capital; Financial Leverage and Firm Value; taxes; MM Proposition 
Questions
Readings, Websites or Video Clips
Fama, E.F. and K.R. French, “Industry Cost of Capital”, Journal of Financial Economics, Feb, 1997.
Miles, J., and R. Ezzel, “The Weighted Average Cost of Capital, Perfect Capital Markets and Project Life: A Clarification,” Journal of Financial and Quantitative Analysis 12, Sep 1980.
Assignments for this session (if any)
Homework 3.

Session 8 Capital Structure Decision: Part II

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Topics cover  osts of Financial Distress; Integration of Tax Effects and Financial Distress Costs; Pie theory; The Peking Order Theory
Questions
Readings, Websites or Video Clips
Myers, S. “The Capital Structure Puzzle”, Journal of Finance, July 1984.         
Assignments for this session (if any)
Case Study 3

Session 9Valuation and Capital Budgeting for the Levered Firm

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
   Topics cover the three valuation approaches: the APV, FTE and WACC methods. Beta and Leverage
Questions
Readings, Websites or Video Clips
Assignments for this session (if any)
 
Home work 4

Session 10Behavioral Corporate Finance

Date:

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Topics cover two Approaches: 1st: Rational Investors and Irrational Managers and 2nd:Irrantional Investors and Rational Managers
Questions
Readings, Websites or Video Clips

Shefirn, Hersh, 2007, Behavioral Corporate Finance

 

Baker, M., Ruback, Richard S., and J. Wurgler, 2004, Behavioral Corporate Finance: A Survey, In Eckbo, Espen (ed.) Handbook in Corporate Finance: Empirical Corporate Finance.

 
Assignments for this session (if any)

 


 

Insurance Company’s Operation and Management  (2 credits)

 

JIA Ruo

 

Thursday 13:00-14:50    3rd Teaching Building 508

*With graduate students

 

Final exam on 4th January, 2018

 

 

The course of Insurance Operations and Management discusses the core aspects in the field of Insurance Management. It provides a comprehensive and advanced discussion of all insurance activities and their management. The first step is to analyze the players and structure of different insurance markets as they exist today and what currently drives these markets. Then we work with a brief theoretical discussion on “the magic of insurance”. We will systematically scan the core and supporting processes in an insurance company and compare them with a reinsurance company. Finally, we end the course with a simulation game on insurance operations, where student groups can make their own management decisions of an insurance firm, compete with other firms in the market, and see the consequences.Different from courses on insurance economics, this course focuses on the management and practice of insurance industries and other financial institutions and thus particularly suits for students willing to practice insurance or to work in related fields.The teaching and exam language will be in English.

 

The course contains six parts.

I. Insurance Markets (4 credit hours). This chapter discusses different types of insurance markets in different countries and for different products, the development history of insurance markets, and challenges in the current insurance markets.

II. Insurance Product Process (6 credit hours). This chapter introduces the process to produce an insurance product, including product design, underwriting and pricing, terms and conditions of insurance contracts, insurance marketing, different types of insurance sales, claim management, and policy services.

III. Operations and management of (re)insurance companies (8 credit hours). This chapter presents a few core topics of insurance management, including insurance processes (management, supporting, and business processes), risk management of insurance companies, value-based management, and asset-liability management.

IV. The current challenges to insurance operations and management and their corresponding measures and solutions. (4 credit hours)

V. Insurance Operation Simulations (4 credit hours)

VI. Tutorials (4 credit hours)

In total, this course has 15 weeks with 30 credit hours.


 

Labor Economics   (2 credits)

 

Julie SHI

 

Wednesday 10:10-12:00    1st Teaching Building 316

 

Course De1111ion

Objective

This course focuses on topics in health economics and labor economics, including four specific aspects:

Understand health care system

Understand topics in labor market

Learn methods in academic research

Learn ways to analyze research topics

Pre-requisites /Target audience

Intermediate microeconomics

Intermediate econometrics

Proceeding of the Course

 

Assignments (essay or other forms)

Class presentation and research proposal

Evaluation Details

Final grade = 45% on class presentation on economic literature + 45% on research proposal + 10% class participation

 

Text Books and Reading Materials

Health Economics, Frank A. Sloan and Chee-Ruey Hsieh, MIT Press, 2012

Modern Labor Economics: Theory and Public Policy, Ronald G. Ehrenberg and Robert S. Smith,12th Edition, 2014

 

Academic Integrity (If necessary)

 

CLASS SCHEDULE

(Subject to adjustment)

Session 1Introduction

Date: Sep. 7, 2017

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Instructor
Prerequisites
Course target
Textbook
Introduction
Grading policy
Questions
Readings, Websites or Video Clips
Assignments for this session (if any)

Session 2International Health Care Systems

Date: Sep. 14, 2017

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Classification of health care systems
Health care financing system
Questions
Readings, Websites or Video Clips
Arrow, K. J., 1963. Uncertainty and the Welfare Economics of Medical Care. American Economic Review 53(5): 941-973.
Cuter, D. M., R. J., Sarah, 1998. Pay for Health Insurance: the Trade-off between Competition and Adverse Selection. Quarterly Journal of Economics,113 (2), 433-465.
Assignments for this session (if any)

Session 3Health Economics and Institutional Features of Health Care

Date: Sep. 21, 2017

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
The structure of health care system
The origin of health economics
Institutional features of health care
Questions
Readings, Websites or Video Clips
Einav, L., A. Finkelstein, and P. Schrimpf, 2015. The Responses of Drug Expenditure to Nonlinear Contract Design: Evidence from Medicare Part D, Quarterly Journal of Economics, 130(2): 841-899
Einav, L., A. Finkelstein, S. P. Ryan, P. Schrimpf, and M. R. Cullen, 2013. Selection on Moral Hazard in Health Insurance. American Economic Review 103(1), 178-219
Assignments for this session (if any)

Session 4Frontier of Health Care Research

Date: Sep. 28, 2017

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
The Oregon Health Insurance Experiment
Selection in insurance market
The response of drug expenditure to nonlinear contract design
Questions
Readings, Websites or Video Clips
Ellis, R.P., McGuire, T.G., 2007. predictability and predictiveness in health care spend-ing. Journal of Health Economics 26 (1), 25–48.
Manning, W. G., J. P. Newhouse, N. Duan, E. B., Keeler, A. Leibowitz, and M. S. Marquis, 1987. Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment. American Economic Review 77(3): 251-177.
Assignments for this session (if any)

Session 5Chinese Health Care System: Part 1

Date: Oct. 12, 2017

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Health care system
Health insurance system
Questions
Readings, Websites or Video Clips
Rothschild, M. and J. Stiglitz, 1976. Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information. Quarterly Journal of Economics 90(4): 629-649.
Assignments for this session (if any)

Session 6 Chinese Health Care System: Part 2

Date: Oct. 19, 2017

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Government documentation on health care reform
Health care reform in pilot cities: Sanming and Suqian
Questions
Readings, Websites or Video Clips
Baicker, K., Finkelstein, A., 2011. “The Effects of Medicaid Coverage — Learning from the Oregon Experiment”. The New England Journal of Medicine 365(8), 683-685.
Baicker, K., Finkelstein, A, Song, J., Taubman, S., 2013. “The Impact of Medicaid on Labor Force Activity and Program Participation: Evidence from the Oregon Health Insurance Experiment”. American Economic Review 104(5), 322-328.
Assignments for this session (if any)

Session 7 Chinese Health Care System: Part 3

Date: Oct. 26, 2017

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Comparison of US and Chinese Health Care System
Overall Ranking
Inpatient and Outpatient Care
Health Insurance
Health Care Cost
Questions
Readings, Websites or Video Clips
Baicker, K., Taubman, S.L., Allen, H.L., Bernstein, M., Gruber, J.H., Newhouse, J.P., Schneider, E.C., Wright, B.J., Zaslavsky, A.M., Finkelstein, A.N., 2013. “The Oregon Experiment — Effects of Medicaid on Clinical Outcomes”. The New England Journal of Medicine 368(18), 1713-1722.
Einav, L., Finkelstein, A., 2011. “Selection in Insurance Markets: Theory and Empirics in Pictures”. Journal of Economic Perspective 25(1), 115-138.
Einav, L., Finkelstein, A., Schrimpf, P., 2015. “The Response of Drug Expenditure to Non-Linear Contract Design: Evidence from Medicare Part D”. Quarterly Journal of Economics 130(2), 841-899.
Assignments for this session (if any)

Session 8Introduction to Micro-level Data Sets

Date: Nov. 2, 2017

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Chinese data sets, public available
Chinese data sets, unavailable to public
American data sets, public available
Data sets in other countries
Tips for using data sets
Questions
Readings, Websites or Video Clips
Finkelstein, A., Taubman, S., Wright, B., Bernstein, M., Gruber, J., Newhouse, J.P., Allen, H., Baicker, K., Oregon Health Study Group, 2012. “The Oregon Health Insurance Experiment: Evidence from the First Year”. Quarterly Journal of Economics 127(3), 1057-1106.
Taubman, S.L., Allen H.L., Wright, B.J., Baicker, K., Finkelstein, A., 2014. “Medicaid Increases Emergency-Department Use: Evidence from Oregon`s Health Insurance Experiment”. Science 343(17), 263-268.
 
Assignments for this session (if any)

Session 9US Health Care Reform

Date: Nov. 9, 2017

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
Obama Health Care Reform
Purposes
Policy
Impact
Questions
Readings, Websites or Video Clips
Kaiser Family Foundation, 2013, Summary of the Affordable Care Act
Sommers, Benjamin D., 2015, New England Journal of Medicine, 373;25 (Oct. 21, 2015)
Frean, Molly, Jonathan Gruber, Benjamin Sommers, 2016, New England Journal of Medicine
Assignments for this session (if any)

Session 10Examples of Literature Review and Potential Research Topics

Date: Nov. 16, 2017

De1111ion of the Session(purpose, requirements, class and presentations scheduling, etc.)
A review on what researches have been analyzed by previous papers on the topic you’re interested in.
Help to avoid doing duplicate research and make it clear the research contribution
Questions
Readings, Websites or Video Clips
 
Assignments for this session (if any)

 


 

Business and Society in Modern China: An Institutional Perspective

  (2 credits)

 

GUO Yan

 

Wednesday 13:00-14:50    2nd Teaching Building 416

 

This course is designed to develop a basic understanding in Chinese business. Taking new institutional theory as an intellectual framework, this course aims to introduce the decisions and performance of businesses in the greater social and political contexts in which they operate. On successful completion of this module, students should be able to: 1, Demonstrate understanding of New Institutional Theory and explain how institutions interact with business activities in a society. 2, Identify the social and political factors that affect the performance and decisions of Chinese businesses in historical periods after 1949. 3, Demonstrate understanding of how businesses are organized and relations are managed to achieve business goals in a social context. 4, Work with others to identify critical success formula in business operations. 5, Analyze, in collaboration with fellow students, the opportunities and challenges facing Chinese businesses in the global economy.

The purpose of this course is to introduce the economic development of China in recent 60 years, particularly the economic reforms in recent 30 years, with a focus on Chinese institutions. The course first introduces new institutional theory which discusses the relationship between institutional environments and individual business activities. It then reviews major features of business activities in Chinese community by introducing some distinctive business models. Under the institutional framework, the discussion focuses on analyzing what the essential features of the political and social contexts for businesses in Chinese community are, and, how these contextual features have shaped the operation and competitiveness of Chinese businesses in general.

 

Class Schedule

1,Induction to Institutional Theory

2, Overview on institutional dynamics and the development of business activities in China after 1949.

3, The operation and transformation of the State-owned Enterprises (SOEs): Government as business owners.

4, Township & Village Enterprise (TVEs).

5, SEZs and Joint and Foreign Ventures: from locally initiated experiments to the accelerators of ‘the world’s factory floor.

6, The Development of Private Enterprises

7,Inequality and Business in China

8, Comparison of Chinese and Western Business models in difference kinds of economies in traditional and modern societies.

  • 北京大学经济学院

  • 北大经院人

  • 经院校友办