Profile
External Links
David A Kendrick
Professor — Ph.D., Massachusetts Institute of Technology
Contact
- E-mail: kendrick@austin.utexas.edu
- Phone: 475-8542
- Office: BRB 3.134E
- Office Hours: M/W 1pm and F 11am
- Campus Mail Code: C3100
ECO 363C • Computational Economics
34610-34615 •
Fall 2013
Meets
MW 1200pm-100pm BRB 2.136
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PREREQUISITE: ECONOMICS 420K WITH A GRADE OF AT LEAST C-.
THIS COURSE PROVIDES AN INTRODUCTION TO COMPUTATIONAL ECONOMICS FOR UNDERGRADUATES. IT WILL COVER THE APPLICATION OF COMPUTATIONAL METHODS TO ECONOMIC MODELS IN FIELDS SUCH AS SECTORAL ECONOMICS, ENVIRONMENTAL ECONOMICS, MACROECONOMICS, GROWTH THEORY, AND OTHERS. THE COMPUTATIONAL METHODS WILL INCLUDE BOTH SIMULATION AND OPTIMIZATION APPROACHES AS WELL AS DATABASES. A VARIETY OF COMPUTER LANGUAGES WILL BE USED INCLUDING MATLAB, GAMS AND MATHEMATICA. PREVIOUS KNOWLEDGE IN ECONOMICS, MATHEMATICS, AND COMPUTATIONAL METHODS IS USEFUL THOUGH STRENGTH IN ONE OR TWO OF THESE AREAS CAN MORE THAN ACCOMMODATE FOR LITTLE OR NO BACKGROUND IN ONE OR TWO OF THE OTHERS.
THERE ARE WEEKLY COMPUTER EXERCISES AS WELL AS A TERM PAPER.
ECO 363C • Computational Economics
34305-34310 •
Fall 2012
Meets
MW 1200pm-100pm BRB 2.136
show description
PREREQUISITE: ECONOMICS 420K WITH A GRADE OF AT LEAST C-.
THIS COURSE PROVIDES AN INTRODUCTION TO COMPUTATIONAL ECONOMICS FOR UNDERGRADUATES. IT WILL COVER THE APPLICATION OF COMPUTATIONAL METHODS TO ECONOMIC MODELS IN FIELDS SUCH AS SECTORAL ECONOMICS, ENVIRONMENTAL ECONOMICS, MACROECONOMICS, GROWTH THEORY, AND OTHERS. THE COMPUTATIONAL METHODS WILL INCLUDE BOTH SIMULATION AND OPTIMIZATION APPROACHES AS WELL AS DATABASES. A VARIETY OF COMPUTER LANGUAGES WILL BE USED INCLUDING MATLAB, GAMS AND MATHEMATICA. PREVIOUS KNOWLEDGE IN ECONOMICS, MATHEMATICS, AND COMPUTATIONAL METHODS IS USEFUL THOUGH STRENGTH IN ONE OR TWO OF THESE AREAS CAN MORE THAN ACCOMMODATE FOR LITTLE OR NO BACKGROUND IN ONE OR TWO OF THE OTHERS.
THERE ARE WEEKLY COMPUTER EXERCISES AS WELL AS A TERM PAPER.
ECO 350K • Applied Macroeconomics
34295 •
Spring 2012
Meets
MWF 1200pm-100pm BRB 2.136
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This course provides an advanced level study of macroeconomics. The focus is on (1) the economics and the politics of the subject and (2) the mathematical and computational models that are used to develop macroeconomic policy. The textbook is by Hall and Taylor and this is supplemented with readings from a book by Krugman. In addition class notes are provided.
The Hall and Taylor model is used in a series of student exercises with the GAMS software.
There are two hour exams and term paper.
ECO 363C • Computational Economics
34220-34225 •
Fall 2011
Meets
MW 1200pm-100pm BRB 2.136
show description
PREREQUISITE: ECONOMICS 420K WITH A GRADE OF AT LEAST C-.
THIS COURSE PROVIDES AN INTRODUCTION TO COMPUTATIONAL ECONOMICS FOR UNDERGRADUATES. IT WILL COVER THE APPLICATION OF COMPUTATIONAL METHODS TO ECONOMIC MODELS IN FIELDS SUCH AS SECTORAL ECONOMICS, ENVIRONMENTAL ECONOMICS, MACROECONOMICS, GROWTH THEORY, AND OTHERS. THE COMPUTATIONAL METHODS WILL INCLUDE BOTH SIMULATION AND OPTIMIZATION APPROACHES AS WELL AS DATABASES. A VARIETY OF COMPUTER LANGUAGES WILL BE USED INCLUDING MATLAB, GAMS AND MATHEMATICA. PREVIOUS KNOWLEDGE IN ECONOMICS, MATHEMATICS, AND COMPUTATIONAL METHODS IS USEFUL THOUGH STRENGTH IN ONE OR TWO OF THESE AREAS CAN MORE THAN ACCOMMODATE FOR LITTLE OR NO BACKGROUND IN ONE OR TWO OF THE OTHERS.
THERE ARE WEEKLY COMPUTER EXERCISES AS WELL AS A TERM PAPER.
ECO 363C • Computational Economics
33510-33515 •
Fall 2010
Meets
MW 1200pm-100pm BRB 2.136
show description
PREREQUISITE: ECONOMICS 420K WITH A GRADE OF AT LEAST C-.
THIS COURSE PROVIDES AN INTRODUCTION TO COMPUTATIONAL ECONOMICS FOR UNDERGRADUATES. IT WILL COVER THE APPLICATION OF COMPUTATIONAL METHODS TO ECONOMIC MODELS IN FIELDS SUCH AS SECTORAL ECONOMICS, ENVIRONMENTAL ECONOMICS, MACROECONOMICS, GROWTH THEORY, AND OTHERS. THE COMPUTATIONAL METHODS WILL INCLUDE BOTH SIMULATION AND OPTIMIZATION APPROACHES AS WELL AS DATABASES. A VARIETY OF COMPUTER LANGUAGES WILL BE USED INCLUDING MATLAB, GAMS AND MATHEMATICA. PREVIOUS KNOWLEDGE IN ECONOMICS, MATHEMATICS, AND COMPUTATIONAL METHODS IS USEFUL THOUGH STRENGTH IN ONE OR TWO OF THESE AREAS CAN MORE THAN ACCOMMODATE FOR LITTLE OR NO BACKGROUND IN ONE OR TWO OF THE OTHERS.
THERE ARE WEEKLY COMPUTER EXERCISES AS WELL AS A TERM PAPER.
ECO 320L-H • Macroeconomic Theory-Honors
33605 •
Spring 2010
Meets
MWF 1200-100pm UTC 3.122
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Jan. 7, 2010
Reading List
Eco 320L-H
Spring 2010
David Kendrick
David Kendrick Office Hours: MWF 11 BRB 3.134E
TA Office Hours: To Be Announced
This course provides an introduction to macroeconomics. The focus is on both the economics and the politics of the subject. Also, mathematical and computational models are used in the class. The textbook is by Hall and Papell and also readings from a book by Krugman are used. In addition class notes are provided.
There are two hour exams, a set of exercises and a comprehensive final exam.
TEXTS
1. Kendrick, David A. (DK), Goals and Policies for the Economy, mimeo, Department of Economics, The University of Texas, Austin, Texas, August 2009. (Available at Central Duplicating in GSB 3.136).
2. Hall, Robert E. and David H. Papell (HP), Macroeconomics: Economic Growth, Fluctuations and Policy, Sixth Edition, W. W. Norton & Company, New York, 2005.
3. Krugman, Paul (PK), Peddling Prosperity, W. W. Norton and Co., New York, 1994.
WEB SITES
4. www.wwnorton.com/web/macrosolve
OPTIONAL TEXT
1. Culver, Sarah and David H. Papell, Hall and Papell's Macro Economics Study Guide, Sixth Edition, 2005, W. W. Norton and Company. (This is not required but you may find it a useful aid when reading Hall and Papell.)
SCHEDULE
Lectures Read Discuss
Goals Hall & Papell Hall &
Papell
I. GOALS
Jan 22 Low Unemployment 1,2 1,2
25 Low Inflation 3
27 Balance of Payments 4 3
29 Discuss Hall and Papell 1 2 3
Feb 1 Growth 5 4
3 Income Dist 6 5
5 Discuss HP 6 4,5,6
Discuss First Exercise
8 Government Deficit 7
II. CONTROLS
10 Government Spending 8 7
12 Discuss HP 7
First Exercise Due
15 Taxes 9
17 Money Supply 10
19 First Hour Exam
22 Prices and Wages 11
24 Lecture on HP Ch 8 8 8
26 Lecture on HP Ch 9 9 9
Discuss Second Exercise
Mar 1 Discuss Krugman Ch 1
3 Krugman Ch 2
Questions on Second Exercise
5 Discuss HP 10 10
Second Exercise Due
8 Krugman Ch 3 and 4
10 Foreign Trade 12
Lectures Study Discuss
Goals Hall & Papell Hall &
Papell
III. RELATIONSHIPS BETWEEN CONTROLS AND GOALS
Mar 12 Discussion Class 13
15 Spring Break
22 Consumption 14
24 Investment 15
26 Krugman Ch 5 and 6
29 Krugman Ch 7 and 8
31 Second Hour Exam
Apr 2 Interest Rates - Discuss HP
Discuss Third Exercise 16 11 11
5 Prices 17
7 Prices
Questions on Third Exercise
9 Wages, Labor 18 12
19
12 Discuss HP 19 12
Third Exercise Due/Discuss Fourth Exercise
14 Trade 20 13,14
16 Discuss HP 13,14
19 Complete Model 21 15
Progress Report on Fourth Exercise Due
21 US Empirical Model
23 Parasuk Model 16
Questions on Fourth Exercise
26 Parasuk Model
28 Discuss HP 15,16
Fourth Exercise Due
30 Discuss HP 17 17
May 3 Krugman Ch 9 and 10
5 Discuss HP 18 18
7 Discussion
15 Final Exam
May 15 Final Exam - The final exam is comprehensive and is required. If you will have to leave Austin before Saturday May 15 then you should switch to another section of Eco 320L.
The University has a new policy which permits the assignment of plus and minus grades in undergraduate classes. I plan to make use of that option this spring.
GRADES First Exercise 3
Second Exercise 4
Third Exercise 6
Progress Report (4th Exercise) 4
Fourth Exercise 7
First Hour Exam 21
Second Hour Exam 25
Final 30
Total 100
Attendance is not directly used in determining the class grade, though it will affect your ability to perform on the exams and the value added you take away from the course.
I will make myself available to discuss appropriate academic accommodations that you may require as a student with a disability. Also students with disabilities may request appropriate academic accommodations from the Division of Diversity and Community Engagement, Services for Students with Disabilities, 471-6259.
ECO 392M • Computational Economics I
33850 •
Spring 2010
Meets
MW 930-1100 BRB 1.120
(also listed as
SSC 395 )
show description
Jan 11, 2010
Economics 392M.12
Computational Economics
Spring 2010
David Kendrick Office Hours
BRB 3.134E MWF 11-12
http://www.eco.utexas.edu/faculty/Kendrick
TA: Doruk Basar
This course provides an introduction to computational economics for graduate students. It will cover the application of computational methods to economic models in fields such as sectoral economics, environmental economics, macroeconomics, financial economics, growth theory and others. The computational methods will include both simulation and optimization approaches as well as databases. A variety of computer languages will be used including MATLAB, GAMS and Mathematica.
Previous knowledge in economics, mathematics and computational methods is useful though strength in one or two of these areas can more than accommodate for little or no background in one or two of the others.
There are weekly computer exercises as well as a short paper at mid-term and a long paper at the end of the term.
The textbook for this course is
Kendrick, David A., P. Ruben Mercado and Hans M. Amman, Computational Economics, Princeton University Press, Princeton, New Jersey, 2006.
The web site associated with the book is
This site has pointers to input files for most of the models that we will be using in the course, to the software packages, etc.
Also, there are three packets of materials for this course at Central Duplicating in GSB 3.136. The first is a collections of articles, the second is some chapters from the User's Guide for the Duali software and the third is the first seven chapters from my Stochastic Control for Economic Models (2nd ed) book.
You should buy the first packet. The second packet is optional. There is an older version available on the Web and you can find it by going to my home page at
http://www.eco.utexas.edu/faculty/Kendrick/
and navigating from there. The third packet is also optional. It is available on my web site for reading online or downloading.
Also some of the materials for the course can be found at the web site for this course which is
http://www.eco.utexas.edu/compeco/courses/index392.html
Optional Texts
See DK about gaining access to these.
1. Kendrick, David A. (1990), Models for Analyzing Comparative Advantage, Kluwer Academic Publishers, Dordrecht, The Netherlands.
2. Judd, Kenneth L. (1998), Numerical Methods in Economics, M.I.T. Press, Cambridge, MA.
3. Amman, Hans M., David A. Kendrick and John Rust (Eds) (1996), Handbook of Computational Economics, North-Holland Publishing Co., Amsterdam.
4. Brooke, Anthony, David Kendrick, Alexander Meeraus and Ramesh Raman (1998), GAMS: A Users Guide, available from the GAMS Development Corporation at
http://www.gams.com
Outline
I. First Pass
Growth
1. Chakravarty in Excel
2. Chakravarty in GAMS
Transportation and Industrial Modeling
1. Transportation Model in GAMS
2. Small Mexican Steel
Databases
1. U.S. Data in Access
Financial Modeling
1. Portfolio Model in MATLAB
Game Theory
1. Genetic Algorithms and Evolutionary Games in MATLAB
II. Second Pass
Financial Modeling
1. Genetic Algorithms and Portfolio Models in MATLAB
Dynamic Optimization
1. Dynamic Optimization in MATLAB
Agent Based
1. Agent-Based Models in MATLAB
Personal Financial Planning
1. Thrift Model in GAMS
Macroeconomics
1. Hall and Taylor in GAMS
2. Taylor Multicountry Model in GAMS
Environmental
1. Global Warming in GAMS
Partial Equilibrium Models
1. Partial Equilibrium in Mathematica
Computable General Equilibrium
1. CGE Models in GAMS
Control Theory
1. Deterministic Control in Duali
2. Stochastic Control in Duali
Neural Nets
1. Neural Nets in Excel
Rational Expectations
1. Rational Expectations Macro in Duali
Dynamic Programming
1. Discrete State Space
2. Value Function Iteration
Game Theory
1. Cournot Duopoly in Mathematica
2. Stackelberg Duopoly in Mathematica
Growth
1. Judd and Guu in Mathematica
2. Kendrick and Taylor in GAMS
Reading List
I. First Pass
Growth
1. Chakravarty in Excel
KMA Ch. 1 “Growth Model in Excel”
2. Chakravarty in GAMS
Notes in Packet #1
Chakravarty, S. (1962), "Optimal Savings with
a Finite Planning Horizon," International Economic
Review, September, Vol. 3, pp. 338-355.
Transportation and Industrial Investment
1. Transportation Model in GAMS
KMA Ch. 4 “Transportation in GAMS”
2. Small Mexican Steel
Kendrick, Meeraus and Alatorre, The Planning of Investment Programs
in the Steel Industry, Johns Hopkins University Press, Baltimore.
Databases in Access
1. U.S. Data
KMA Ch. 5 "Databases in Access"
Financial Modeling
1. Portfolio Model in MATLAB
KMA Ch. 7 “Portfolio Model in MATLAB”
Game Theory
1. Genetic Algorithms and Evolutionary Games in MATLAB
KMA Ch. 11 “Genetic Algorithms and Evolutionary Games in MATLAB”
II. Second Pass
Financial Modeling
1. Genetic Algorithms and Portfolio Models in MATLAB
KMA Ch. 12 “Genetic Algorithms and Portfolio Models in MATLAB”
KMA Ch. 14 “Agent-based Models in MATLAB”
Dynamic Optimization
1. Dynamic Optimization in MATLAB
KMA Ch. 16 “Dynamic Optimization in MATLAB”
Agent Based
1. Agent-Based Models in MATLAB
Personal Financial Planning
1. Thrift Model in GAMS
KMA Ch. 6 “Thrift in GAMS”
Macroeconomics
1. Hall and Taylor in GAMS
2. Taylor Multicountry Model in GAMS
Mercado and Kendrick (1997), "TAYGAMS: John Taylor's
Two-Country Model in GAMS" - in Packet #1
Environmental
1. Global Warming in GAMS
KMA Ch. 15 “Global Warming in GAMS”
Anantha Duraiappah (1993), Global Warming and Economic
Development, Kluwer Academic Publishers, Dordrecht,
The Netherlands.
Partial Equilibrium Models
1. Partial Equilbrium – Ch. 3 in KMA
Computable General Equilibrium
1. CGE Models in GAMS
KMA Ch. 8 “General Equilibrium Models in GAMS”
use Orani and also Seung Rae Kim’s model
Control Theory
1. Deterministic Control in Duali
Use this software to learn some Windows programming.
Amman, Hans M. and David A. Kendrick, "The
Duali/Dualpc Software for Optimal Control
Models: User's Guide" Center for Applied Research
in Economics, TP 92-03, revised Dec. 1999 - in Packet #2
Ch. 4 model from Kendrick (2002), Stochastic
Control for Economic Models, 2nd Ed., available
at http://www.eco.utexas.edu/faculty/Kendrick
Also in Packet #3.
2. Stochastic Control in Duali
KMA Ch. 17 “Stochastic Control in Duali” Sections 3 thru 6
OLF from Ch. 6 of Stochastic Control book
MacRae model from Ch. 7 of Stochastic Control book
CE vs OLF – paper by Amman & Kendrick in packet
or find it at the Computational Economics journal
web site beginning from the Springer web site at
Mitigation of the Lucas critique – paper by Amman and
Kendrick in the packet or find it at the Elsevier web
site for the JEDC journal beginning from
Neural Nets
1. Neural Nets in Excel
KMA Ch. 2 "Neural Nets in Excel"
Rational Expectations
1. Rational Expectations Macro in Duali
KMA Ch. 18 “Rational Expectations Macro in Duali”
Dynamic Programming
1. Ch. 19 “Dynamic Programming with Discrete State Space”
2. Ch. 20 “Dynamic Programming with Value Function Iteration”
Game Theory
1. Cournot Duopoly in Mathematica
KMA Ch. 9 “Cournot Duopoly in Mathematica”
2. Stackelberg Duopoly in Mathematica
KMA Ch. 10 “Stackelberg Duopoly in Mathematica”
Growth
1. Judd and Guu in Mathematica
"Perturbation Solution Methods for Economic Growth
Models" by Kenneth Judd and Sy-Ming Guu, Ch. 4
in Hal Varian (ed), Economic and Financial Modeling
with Mathematica, TELOS/Springer Verlag, 1993.
2. Kendrick and Taylor in GAMS
Kendrick (1990) Models for Analyzing Comparative Advantage Ch. 5
Mercado, Lin and Kendrick (2003), “Modeling
Economic Growth with GAMS” Ch. 2, pp. 31-51 in festschrift for
Lance Taylor, i.e. Amitava Krishna Dutt and Jaime Ros (eds)
(2003), Development Economics and Structuralist
Macroeconomics, Edward Elgar, Northampton, MA.
Schedule
Jan 25 Lecture
KMA Ch. 1 “Growth Model in Excel”
Chakravarty model in GAMS – notes in packet
Mercado, Lin and Kendrick – multi-sectoral growth model KMA Ch. 4 “Transportation in GAMS”
Small static Mexican steel model.
Lab Preparation
Chakravarty growth model in Excel
Chakravarty growth model in GAMS
Multi-sectoral growth model in GAMS
Transport model in GAMS
Small Mexican steel model in GAMS
Lab
modify and solve either (1) the Chakravarty growth model
in Excel or GAMS, (2) the multi-sectoral growth model in
GAMS or (3) the transport model or the small
static Mexican steel model in GAMS
Feb 1 Lecture
KMA Ch. 5 "Databases in Access"
KMA Ch. 7 “Portfolio Model in MATLAB”
Also we will use as an alternative the portfolio model in GAMS in App. 7C.
Lab Preparation
Using ACCESS on UNIX Terminals
Using MATLAB on UNIX Terminals
Portfolio model in MATLAB and in GAMS
Lab
Access and useco.mdb on CARE or UNIX machines
Portfolio model in MATLAB and in GAMS
Due
Exercise on (1) the Chakravarty growth model in Excel or GAMS,
(2) the multi-sectoral growth model, (3) the transport model
or (4) the small static Mexican steel model.
Feb 8 Lecture
KMA Ch. 11 “Genetic Algorithms and Evolutionary Games in MATLAB”
KMA Ch. 12 “Genetic Algorithms and Portfolio Models in MATLAB”
Lab Preparation
Genetic Algorithms in evolutionary games or in portfolio models
Lab
Genetic Algorithm in evolutionary games or in portfolio
example in MATLAB
Due
Exercise on database systems or portfolio model.
Feb 15 Lecture
QLP from Ch. 2 of Kendrick Stochastic Control for Economic Models book
KMA Ch. 16 “Dynamic Optimization in MATLAB”
Lab Preparation
MATLAB for QLP
Lab
MATLAB
Due
Exercise on genetic algorithms applied to either evolutionary
games or to portfolio models.
Feb 22 Lecture
Agent-based Models
KMA Ch. 14 “Agent-based Models in MATLAB”
Lab
Agent-based Model in MATLAB
Due
Exercise on QLP in MATLAB
Mar 1 Lecture
Financial Modeling from Michael Evanchik and Genevieve Solomon
KMA Ch. 6 “Thrift in GAMS”
Hall and Taylor Model in GAMS – KMA Ch. 13 “Macroeconomic in GAMS”
Lab
Student Financial Model in GAMS
HTGAMS
Due
Exercise on agent based models.
Mar 8 Lecture
John Taylor’s multicountry models
Intro to John Taylor’s Rational Expectations Model
KMA Ch. 18 “Rational Expectations Macro in Duali”
Sections 1 and 2
Taylor Model in GAMS
Lab
TAYGAMS, i.e. tay01.gms etc.
Due
Short Paper
Mar 16 Spring Break
Mar 22 Lecture
Environmental Models - Nordhaus and Duraiappah
KMA Ch. 15 “Global Warming in GAMS”
Lab
Nordhaus DICE Model in GAMS
Due
Exercise on the thrift model or on
the Hall and Taylor Model in GAMS
or Taylor Model in GAMS
Mar 29 Lecture
Hall and Taylor model transformed to control theory form
Discuss HTGAMS paper and ht01.gms, ht02.gms, ht03.gms
Lab
HTGAMS, i.e. ht01.gms, ht02.gms, ht03.gms
Due
Exercise on the global warming model.
Apr 5 Lecture
CGE Models –
KMA Ch. 3 – Partial Equilibrium
KMA Ch. 8 “General Equilibrium Models in GAMS”
Lab
CGE in GAMS - use Mercado, Orani and also Seung Rae
Kim’s model
Due
Exercise on HTGAMS, i.e. ht01.gms, ht02.gms, ht03.gms
Apr 12 Lecture
Deterministic Control in Duali
KMA Ch. 17 “Stochastic Control in Duali” Sections 1 and 2
Lab
Hall and Taylor in Duali
Due
Exercise on the partial equilibrium or the general equil models.
Apr 19 Lecture
Stochastic Control in Duali
OLF from Ch. 6 of Stochastic Control book
MacRae model from Ch. 7 of Stochastic Control book
KMA Ch. 17 “Stochastic Control in Duali” Sections 3 thru 6
Lab
MacRae in Duali or Taylor in Duali
Due
Exercise on Abel in Duali or Hall and Taylor in Duali
Apr 26 Lecture
KMA Ch. 2 "Neural Nets in Excel"
Lab Preparation
Using Microsoft Excel Solver on UNIX Terminal
Lab
Neural net example in Excel
Due
Progress Report on Long Paper
May 3 Lecture
KMA Ch. 18 “Rational Expectations Macro in Duali”
CE vs OLF paper in Duali (Comp Eco)
lqz models in Matlab for QZ decomposition (Macro Dyn)
Mitigation of the Lucas Critique in MATLAB (JEDC)
Lab
MATLAB with lqz and lqzolf
Due
Exercise on MacRae or Hall and Taylor or other stochastic control model
with parameter uncertainty or on neural nets.
Extra Topic Lecture
Dynamic Programming with discrete state space
Dynamic programming with value function iteration
Lab Preparation
Discrete State Space in MATLAB
Value Function Iteration in MATLAB
Due
Nothing
Extra Topic Lecture
Game Theory materials from Dan Gaynor
KMA Ch. 9 “Cournot Duopoly in Mathematica”
KMA Ch. 10 “Stackelberg Duopoly in Mathematica”
Lab
Game Theory in Mathematica
Extra Topic Lecture
Growth Models - Judd-Guu and Kendrick-Taylor
Lab
Chak in Excel and Judd Guu in Mathematica
Kendrick and Taylor in GAMS
May 12 (Wed) Long Paper Due at 12 noon
Standing on the Shoulders
In addition to the GAMS Library there are model files available for a number of other studies. These are available from David Kendrick. These files include
CHUNG Korean Macroeconomics
DURA Global Warming
HATHEWAY U.S. Japan Macro Policy Coordination
LETSON Water Pollution Control
LOFGREN Egyptian Agriculture
PARASUK U.S. Macro and Control Theory
Also, there are more than thirty example models available in the Duali software. These models and the GAMS models offer a good starting point for the development of your own model.
Since there are a considerable number of weekly exercises (experiments) you can claim a “skip” on one of them during the semester by turning in that week a sheet with only your name the experiment name and the word “skip” on it. If you do not use the skip then the last exercise will be entered as skipped on the grade spreadsheet.
The University has a new policy which permits the assignment of plus and minus grades in graduate classes. I plan to make use of that option this spring.
Grades
1. Short Paper 30
2. Exercises 25
3. Progress Report on Long Paper 10
4. Term Paper 35
Total 100
I will make myself available to discuss appropriate academic accommodations that you may require as a student with a disability. Also students with disabilities may request appropriate academic accommodations from the Division of Diversity and Community Engagement, Services for Students with Disabilities, 471-6259.
ECO 363C • Computational Economics
33890-33895 •
Fall 2009
Meets
MW 1200-100pm BRB 2.136
(also listed as
SSC 339 )
show description
8/6/09
Economics 363C
Statistics and Scientific Computational 339
Computational Economics
Fall 2009
David Kendrick Office Hours
BRB 3.134E Mon Wed 1 pm Fri 11 am
kendrick@eco.utexas.edu
http://www.eco.utexas.edu/faculty/Kendrick
TA: To be Announced
This course provides an introduction to computational economics for undergraduates. It will cover the application of computational methods to economic models in fields such as sectoral economics, environmental economics, macroeconomics, financial economics, growth theory and others. The computational methods will include both simulation and optimization approaches as well as databases. A variety of computer languages will be used including MATLAB, GAMS and Mathematica.
Previous knowledge in economics, mathematics and computational methods is useful though strength in one or two of these areas can more than accommodate for little or no background in one or two of the others.
There are weekly computer exercises as well as a term paper.
Text
David A. Kendrick, P. Ruben Mercado and Hans M. Amman, Computational Economics, Princeton University Press, Princeton, NJ, 2006. (KMA)
Web Sites
The web site containing the input files that are used for most of the experiments as well as pointers to web sites for the applications used in the course is
http://www.eco.utexas.edu/compeco
In addition, the TA for the class will maintain a web site for the course. He or she will give you the URL for that web site the first day of the class.
Course Packet
There is a packet of materials for the course at University Duplicating Service in GSB 3.136. It is a collection of articles and notes that supplement the textbook.
Outline
Part I Once Over Lightly ...
Macroeconomics
1. Growth Model in Excel
Microeconomics
4. Transportation in GAMS
Estimation
5. Database Systems in Access
Microeconomics
3. Partial Equilibrium in Mathematica
Finance
6. Thrift in GAMS with Genevieve Solomon
7. Portfolio Model in MATLAB
Estimation
2. Neural Nets in Excel
Part II Once More ...
Microeconomics
8. General Equilibrium Models in GAMS
Game Theory
11. Genetic Algorithms and Evolutionary Games in MATLAB
Finance
12 Genetic Algorithms and Portfolio Models in MATLAB
Macroeconomics
13. Macroeconomics in GAMS
Agent-Based
14. Agent-based Models in MATLAB
Environmental Economics
15. Global Warming in GAMS
Dynamic Optimization
16. Dynamic Optimization in MATLAB
Schedule
Aug 28 Lecture
Short Introduction to Growth Models: Verbal and Mathematical
Aug 31 Lecture
Growth in Excel - Ch. 1 in KMA
Sept 4 Lab
Excel - Modify and solve the growth model.
Sep 7 Labor Day
Sept 9 Lecture
Transportation in GAMS - Ch. 4 in KMA
Lab
Transportation in GAMS
Due
Experiment on the growth model in Excel
Sept 14 Lecture
Database in Access - Ch. 5 in KMA
Partial Equilibrium in Mathematica - Ch. 3 in KMA
Lab
Database in Access
Partial Equilibrium in Mathematica
Due
Experiment on transportation in GAMS
Sept 21 Lecture
Thrift in GAMS - Ch. 6 in KMA
Lab
Thrift in GAMS
Due
Experiment on database in Access or partial equilibrium in Mathematica
Sept 28 Lecture
Portfolio in MATLAB - Ch. 7 in KMA
Lab
Portfolio in MATLAB
Due
Experiment on thrift in GAMS
Oct 5 Lecture
Neural Nets in Excel - Ch. 2 in KMA
Lab
Neural Nets in Excel
Due
Experiment on portfolio in MATLAB
Oct 12 Lecture
General Equilibrium Models in GAMS - Ch. 8 in KMA
Lab
General Equilibrium Model in GAMS
Due
Short Paper
Oct 19 Lecture
Agent-Based Model in MATLAB - KMA 14
Lab
Agent-based model in MATLAB
Due
Experiment on neural nets in Excel or general equilibrium in GAMS
Oct 26 Lecture
Genetic Algorithms and Evolutionary Games in MATLAB - Ch. 11 in KMA
Lab
Genetic Algorithms and Evolutionary Games in MATLAB
Due
Experiment on agent based model in MATLAB
Nov 2 Lecture
Genetic Algorithms and Portfolio Models in MATLAB - Ch. 12 in KMA
Lab
Genetic algorithms and portfolio model in MATLAB
Due
Experiment on genetic algorithms and evolutionary games in MATLAB
Nov 9 Lecture
Macroeconomics in GAMS - Ch. 13 in KMA
Lab
Macroeconomics in GAMS
Due
Progress Report on Long Paper
Nov 16 Lecture
Global Warming in GAMS - KMA Ch. 15
Lab
Global Warming in GAMS
While in lab do an experiment on global warming,
Write up a couple of paragraphs and turn it in before leaving the lab.
Due
Experiment on genetic algorithms and portfolio models in MATLAB or experiment on Macroeconomics in GAMS
Nov 23 Lecture
Dynamic Optimization in MATLAB - KMA Ch. 16
Lab
Thanksgiving Holiday
Due
Nothing
Nov 30 Lecture
Stochastic Control in Duali - KMA Ch. 17
Lab
None
Due (Friday Dec. 4)
Long Paper - Turn in at 4th floor lab by 1 pm
Reminder - No late papers! - Loss of letter grade per nanosecond late!
Since there are a considerable number of weekly exercises (experiments) you can claim a "skip" on one of them during the semester by turning in that week a sheet with only your name the experiment name and the word "skip" on it. If you do not use the skip then the last exercise will be entered as skipped on the grade spreadsheet.
The University has a new policy which permits the assignment of plus and minus grades in undergraduate classes. I plan to make use of that option this fall.
Grades
1. Short Paper 25 Oct 16
2. Experiments 35
3. Progress Report on Long Paper 7 Nov 13
4. Presentation 3
5. Term Paper 30 Dec 4
Total 100
This class is like a job. You can miss a day's work here and there with no problem; however, more than that has consequences. More than four unexcused absences in the semester will results in a loss of one point on the final course grade for each additional unexcused absence.
I will make myself available to discuss appropriate academic accommodations that you may require as a student with a disability. Also students with disabilities may request appropriate academic accommodations from the Division of Diversity and Community Engagement, Services for Students with Disabilities, 471-6259.
ECO 320L • Macroeconomic Theory-Honors
33100 •
Spring 2009
Meets
MWF 1200-100pm UTC 3.122
show description
THEORY OF THE DETERMINATION OF NATIONAL INCOME, EMPLOYMENT, AND THE PRICE LEVEL, WITH POLICY IMPLICATIONS. REQUIRED OF STUDENTS MAJORING IN ECONOMICS.
PREREQUISITE: ECONOMICS 420K WITH A GRADE OF AT LEAST C-.
The purpose of this course is to further students' understanding of the central ideas of macroeconomics. We will study long-run economic growth and short-run economic fluctuations. Once we have a basic understanding of these phenomena, we will discuss the main macroeconomic tools of the government, fiscal policy and monetary policy. By the end of the semester, students should be able to critically read articles on current economic issues that appear in publications such as The New York Times, The Wall Street Journal, and The Economist.
Research
Control Theory
BOOKS
Stochastic Control for Economic Models, McGraw Hill Book Company, New York, 1981. Second Edition, 2002, available online here.
ARTICLES
“Stochastic Control for Economic Models: Past, Present and the Paths Ahead”, Journal of Economic Dynamics and Control, Vol. 29, pp. 3-30, 2005.
“A Classification System for Economic Stochastic Control Models” with Hans M. Amman, Computational Economics, Vol. 27, pp. 453-482, 2006. Published online on 25 May 2006 at http://dx.doi.org/10.1007/s10614-005-9000-8
“Solving the Beck and Wieland Model with Optimal Experimentation in DualPC” with Hans M. Amman and Marco P. Tucci, Automatica, Vol. 44, 2008, pp. 1504-1510.
“Duali: Software for Solving Stochastic Control Problems in Economics”, with Marco P. Tucci and Hans M. Amman, chapter in Erricos J. Kontoghiorghes, Berc Rustem and Peter Winker (eds) Computational Methods in Financial Engineering: Essays in Honor of Manfred Gilli, Springer-Verlag, Berlin, 2008, pp. 393-419.
“The Parameter Set in an Adaptive Control Monte Carlo Experiment: Some Considerations” with Marco P. Tucci and Hans M. Amman, forthcoming in the Journal of Economic Dynamics and Control.
Macroeconomics
BOOKS
Feedback: A New Framework for Macroeconomic Policy, Kluwer Publishing Company, Dordrecht, Holland, 1988. (Japanese language edition to be published in 1989 by Koyo Shobo Publishers Ltd.)
ARTICLES
"Should Macroeconomic Policy Makers Consider Parameter Covariances", with Hans M. Amman, Computational Economics, Vol. 14, No. 3, December 1999, pp. 263-267.
"Linear Quadratic Optimization for Models with Rational Expectations", with Hans M. Amman, Macroeconomic Dynamics, (1999) Vol. 3, No. 4, p. 534-543.
"Stochastic Policy Design in a Learning Environment with Rational Expectations", with Hans M. Amman, Journal of Optimization Theory and Applications, Vol. 105, No. 3, pp. 509-520, June 2000.
“Caution in Macroeconomic Policy: Uncertainty and the Relative Intensity of Policy” with P. Ruben Mercado, Economics Letters, Vol. 68, Issue 1, pp. 37-41, 2000.
“Mitigation of the Lucas Critique with Stochastic Control Methods” with Hans M. Amman, Journal of Economic Dynamics and Control, Vol. 27, pp. 2035-2057, 2003.
“Parameter Uncertainty and Policy Intensity: Some Extensions and Suggestions for Further Work” with P. Ruben Mercado, Computational Economics, Vol 27, pp. 483-496, 2006. Published online on 25 May 2006 at http://dx.doi.org/10.1007/s10614-005-9006-2
- Files Attached
- "Should Macroeconomic Policy Makers Consider Parameter Covariances?" (PDF, 387 KB)
- "Linear Quadratic Optimization for Models with Rational Expectations" (PDF, 104 KB)
- "Policy Design for Models with Rational Expectations and Learning" (PDF, 158 KB)
- "Stochastic Policy Design in a Learning Environment with Rational Expectations" (PDF, 122 KB)
- "Caution and Macroeconomic Policy: Uncertainty and the Relative Intensity of Policy" (PDF, 76 KB)
Computational Economics
BOOKS
Frontiers in Quantitative Economics, Vol. II, (ed with Michael Intriligator), North Holland Publishing Company, Amsterdam, 1974.
GAMS: Release 2.25: A Users Guide: (with Anthony Brooke and Alexander Meeraus) Scientific Press Series, Boyd and Fraser Publishing Co., Danvers, MA 01923, 1992. Also available online at http://www.gams.com.
Models for Analyzing Comparative Advantage, Kluwer Academic Publishers, Dordrecht, Holland, 1989.
Handbook of Computational Economics, (ed with Hans Amman and John Rust), North-Holland Publishing Company, Amsterdam, 1996. Mandarin Chinese edition forthcoming in 2001 from Economic Science Press of Beijing, China.
Computational Economics, (with P. Ruben Mercado and Hans M. Amman), Princeton University Press, 2006, Princeton, NJ.
ARTICLES
"Programming Languages in Economics", with Hans M. Amman, Computational Economics, Vol. 14, Nos 1-2, October 1999, pp. 151-181.
“Computational Economics: Help for the Underestimated Undergraduate” with P. Ruben Mercado and Hans M. Amman, Computational Economics, Vol. 27, pp. 261-271, 2006.
“Teaching Computational Economics to Graduate Students”, Computational Economics, Vol. 30, No. 4, November 2007, pp. 381-391.
The Duali/Dualpc Software for Optimal Control Models: User's Guide with Hans Amman.
Duali/Dualpc Software, executable download
Microeconomics
BOOKS
Programming Investment in the Process Industries, The MIT Press, Cambridge, MA, 1967.
Notes and Problems in Microeconomic Theory, (with Sam Bowles). Markham Publishing Company, Chicago, Illinois, 1970.
The Planning of Industrial Programs: A Methodology, (with Ardy Stoutjesdijk). Johns Hopkins University Press, Baltimore, Maryland, 1978.
Notes and Problems in Microeconomic Theory, (with Peter Dixon and Sam Bowles), North Holland Publishing Company, Amsterdam, 1980.
La Programmation des Investissements Industriels, (with Armeane Choksi, Alexander Meeraus, and Ardy J. Stoutjesdijk), Economica, Paris, 1980.
The Planning of Investment Programs in the Steel Industry, (with Alexander Meeraus and Jaime Alatorre), The Johns Hopkins University Press, Baltimore, 1984.
ARTICLES
Other
Teaching
Macroeconomics
Computational Economics
Books
Programming Investment in the Process Industries
Programming Investment in the Process Industries, The MIT Press, Cambridge, MA, 1967.
Notes and Problems in Microeconomic Theory
(with Sam Bowles) Markham Publishing Company, Chicago, Illinois, 1970
Frontiers in Quantitative Economics, Vol. II
(ed with Michael Intriligator) North Holland Publishing Company, Amsterdam, 1974
The Planning of Industrial Programs: A Methodology
(with Peter Dixon and Sam Bowles) North Holland Publishing Company, Amsterdam, 1980
Notes and Problems in Microeconomic Theory
(with Peter Dixon and Sam Bowles) North Holland Publishing Company, Amsterdam, 1980
La Programmation des Investissements Industriels
(with Armeane Choksi, Alexander Meeraus, and Ardy J. Stoutjesdijk) Economica, Paris, 1980
Stochastic Control for Economic Models
McGraw Hill Book Company, New York, 1981. Second Edition, 2002, available online from the author’s web site.
The Planning of Investment Programs in the Steel Industry
(with Alexander Meeraus and Jaime Alatorre) The Johns Hopkins University Press, Baltimore, 1984
Feedback: A New Framework for Macroeconomic Policy
Kluwer Publishing Company, Dordrecht, Holland, 1988. (Japanese language edition to be published in 1989 by Koyo Shobo Publishers Ltd.)
GAMS: Release 2.25: A Users Guide
(with Anthony Brooke and Alexander Meeraus) Scientific Press Series, Boyd and Fraser Publishing Co., Danvers, MA 01923, 1992
Also available online at http://www.gams.com
Models for Analyzing Comparative Advantage
Kluwer Academic Publishers, Dordrecht, Holland, 1989
Handbook of Computational Economics
(ed with Hans Amman and John Rust) North-Holland Publishing Company, Amsterdam, 1996. Mandarin Chinese edition forthcoming in 2001 from Economic Science Press of Beijing, China
Computational Economics
(with P. Ruben Mercado and Hans M. Amman) Princeton University Press, 2006, Princeton, NJ
Articles
Investment Planning and Economic Integration
The Economics of Planning, Vol. 7, No. 1, 1967, pp. 48-72
A Branch and Bound Algorithm for Zero-One Mixed Integer Programming Problems
(with R. Davis and M. Weitzman), Operations Research, Vol. 19, No. 4, 1971, pp. 1036-1044.
A Dynamic Nonlinear Planning Model for Korea
(with Lance Taylor), Practical Approaches to Development Planning by Irma Adelman (ed.), John Hopkins University Press, Baltimore, Maryland, 1969, pp. 213-240.
Numerical Methods and Nonlinear Planning Models
(with Lance Taylor), Econometrica, May 1970, pp. 453-467
Introduction to Part I
(with Arthur MacEwan), in Studies in Development Planning by Hollis Chenery (ed.), Harvard University Press, Cambridge, Mass, 1971, pp. 7-10.
Numerical Methods and Nonlinear Optimizing Models for Economic Planning
(with Lance Taylor), in Studies in Development Planning by Hollis Chenery (ed.), Harvard University Press, Cambridge, Mass, 1971, pp. 11-28.
Systems Problems in Economic Development
Economic Analysis of Engineering and Social Systems by J. Morley English (ed.), John Wiley and Sons, New York, 1972, pp. 183-234.
Mathematical Methods for Regional Planning
Regional and Urban Economics, Vol. 1, No. 3, 1971.
Optimal Operations of a System of Waste Water Treatment Facilities
(with H. S. Rao and C. H. Wells), Proceedings of the 1970 IEEE Symposium on Adaptive Processes Decision and Control, University of Texas at Austin, 1970, pp. XII.3.1 thru XII.3.5.
On the Leontief Dynamic Inverse
Quarterly Journal of Economics, Vol. LXXXVI, November 1972, pp. 693-696.
Numerical Methods for Urban Planning
Swedish Journal of Economics, Vol. 74, 1972, pp. 45-67.
Stochastic Control with Uncertain Macroeconomic Parameters
(with Joe Majors), Automatica, Vol. 10, Number 6, December 1974, pp. 587-593.
Feedback Control Rule for Cocoa Market Stabilization
(with Han Kim and Louis Goreux) in Quantitative Models of Commodity Markets, by Walter C. Labys (ed.), Ballinger Books, Inc., Cambridge, Massachusetts, 1975, pp. 233-264.
Control Theory and Economics
(with M. Athans), IEEE Transactions on Automatic Control, Vol. AC-19, No. 5, pp 518-523, 1974.
Applications of Control Theory to Macroeconomics
Annals of Economic and Social Measurement, Vol. 5, No. 2, Spring, 1976, pp. 171-190.
Non-Convexities from Probing in Adaptive Control Problems,"
Journal of Economic Letters, Vol. 1, pp. 347-351, 1978.
Adaptive Control of Macroeconomic Models with Measurement Error
in Optimal Control of Econometric Models: An Approach to Economic Policy Formation, by Holly, S., B. Rustem, and M. B. Zarrop (eds.), MacMillian Publishing Co., New York, New York, 1979, pp. 204-227.
Control Theory: With Applications to Economics
Chapter 4 in Kenneth J. Arrow and Michael D. Intriligator (eds.) Handbook of Mathematical Economics, North Holland Publishing Co., Amsterdam, The Netherlands, 1981.
Some Properties of the Dual Adaptive Stochastic Control Algorithm
(with Pierre L. Dersin and Michael Athans), IEEE Transactions on Automatic Control, Vol. AC-26, No. 5, October 1981, pp. 1001-1008.
Caution and Probing in a Macroeconomic Model
Journal of Economic Dynamics and Control, Vol. 4, No. 2, pp. 149-170, 1982.
A Relational Database for the U.S. Economy
in Charles Kindleberger and Guido di Tella (eds.), Vol. III of Economics in the Long View: Essays in Honor of W. W. Rostow, MacMillian, London, 1982.
Stochastic Control and Uncertainty in Dynamic Economic Systems
Chapter IX in M. Hazewinkel and A.H.G. Rinnooy Kan (eds), Current Developments in the Interface: Economics, Econometrics, Mathematics, D. Reidel Publishing Company, Dordrecht, Holland, 1982.
Style in Multisectoral Modeling
Hughes Hallet, A. J. (ed), Applied Decision Analysis and Economic Behavior, Martinus Nijhoff Publishers, Dordrecht, 1984, pp. 329-360.
A Mathematical-Computer Language for Linear Programming Problems
in T. Basar and L. F. Pau (eds), Dynamic Modelling and Control of National Economies, Pergamon Press Ltd., Oxford, United Kingdom, 1984, pp. 233-240.
Controllo Stocastico con Apprendimento Passivo e Modelli Economici
Rivista Internaxionale di Scienze Sociali, Vol. XCII, Jan-Mar 1984, pp. 66-73.
The Tradeoff Between Economies of Scale and Reliability in the Electric Power Industry
(with Kwang Ha Kang), Journal of Economic Development, Vol. 10, No. 1, July 1985, pp. 47-62.
Software for Economic Optimal Control Models
forthcoming in Sartore, D. and C. Carraro (eds.), Developments of Control Theory for Economic Analysis, Martinus Nijhoff Publishers, Dordrecht, 1986.
A Knowledge-Based System for Production and Distribution Economics
(with Ramayya Krishnan and Ronald M. Lee), Computer Science in Economics and Management, Vol. 1, No. 1, pp. 53-72, 1988.
A Production Model Construction System: Math Programming to Structured Modeling
in L. F. Pau, J. Motiwalla, Y. H. Pao and H. H. Teh (eds), Expert Systems in Economics, Banking and Management, Elsevier Science Publishers B.V. (North Holland), Amsterdam, The Netherlands, 1989.
A Comparison of Structured Modeling and GAMS
(with Ramayya Krishnan) Computer Science in Economics and Management 2 (1989), 17.
A Production Model Construction System: PM Statement to Math Programming
Journal of Economic Dynamics and Control, Vol. 14, No. 2, May 1990, pp. 219-236.
Parallel Model Representations
Expert Systems with Applications, Vol. 1, No. 4, 1990, pp. 383-389.
A Graphical Interface for Production and Transportation System Modeling: PTS
Computer Science in Economics and Management, Vol 4, pp 229-236, 1991.
Parallel Processing for Large Scale Nonlinear Control Experiments in Economics",
(with Hans Amman), The International Journal of Supercomputer Applications, Vol. 5, No. 1, Spring 1991, pp. 90-95.
Uncertainty in Dynamic Macroeconomics: A Computational Challenge
in Billingsley, Keith R., Hilton U. Brown III and Ed Derohanes (eds), Scientific Excellence in Supercomputing, The IBM 1990 Contest Prize Papers, Ch. 21, pp. 687-704, The Baldwin Press, The University of Georgia, Athens, Georgia, 1992.
Oil Refinery Modeling with the GAMS Language
(with Alexander Meeraus and Jung Sun Suh), Ch. 40 in Shri Bhagwan Dahiya (ed), Theoretical Foundations of Development Planning, Concept Publishing Co., New Delhi, India, 1992.
Research Opportunities in Computational Economics
(editor), Computational Economics, Vol. 6, No. 3-4, November 1993, pp. 257-314.
Forward Looking Behavior and Learning in Stochastic Control
with Hans Amman, The International Journal of Supercomputer Applications, Vol. 7, No. 3, Fall 1993, pp. 201-211.
Computational Approaches to Learning with Control Theory
in D. Belsley (ed), Computational Techniques for Econometric and Economic Analysis, Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 75-88, 1994.
Active Learning: Monte Carlo Results
with Hans Amman, Journal of Economic Dynamics and Control, Vol. 18, No. 1, 1994, pp. 119-124.
Nonconvexities in Stochastic Control Models: An Analysis
with Hans M. Amman, in W. W. Cooper and A. B. Whinston (eds), New Directions in Computational Economics, 1994, Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 57-94.
Solving Stochastic Optimization Models with Learning and Rational Expectations
with Hans Amman and Sudhakar Achath, Economics Letters, Vol. 48, No. 1, April, 1995, pp. 9-13.
Ten Wishes
Computational Economics, Vol. 8, No. 1, February 1995, pp. 67-80.
Nonconvexities in Stochastic Control Models
with Hans Amman, International Economic Review, Vol. 36, No. 2, May 1995, pp. 455-475.
An Analytical/Numerical Method for Solving Adaptive Control Models which Include Forward Looking Variables
with Sudhakar Achath and Hans Amman, a chapter in N.S.S. Narayana and Anindya Sen (eds) Poverty Environment and Economic Development, Festschrift for Kirit S. Parikh, Interline Publishing, Bangalore, India, 1995, pp. 293-340.
Sectoral Economics
Ch. 6 in Handbook of Computational Economics edited by Hans Amman, David Kendrick and John Rust, 1996.
Forward Looking Variables in Deterministic Control
with Hans M. Amman, Annals of Operations Research, Vol. 68, 1996, pp. 141-159.
The Duali/Dualpc Software for Optimal Control Models: Introduction
with Hans M. Amman, in Hans Amman, Berc Rustem and Andrew Whinston, Computational Approaches to Economic Problems, Kluwer Academic Publishers, Dordrecht, Holland, pp. 363-372, 1997.
Erratum to 'Active Learning: Monte Carlo Results'
Journal of Economic Dynamics and Control, Vol. 21, No. 10, August 1997, pp. 1613-4.
Teaching Macroeconomics with GAMS
with P. Ruben Mercado and Hans M. Amman, Computational Economics, Vol. 12, No. 2, pp. 125-149, 1998.
Computing the Steady State of Linear Quadratic Optimization Models with Rational Expectations
with Hans M. Amman, Economics Letters, Vol. 58, No. 2, pp. 185-191, 1998.
Programming Languages in Economics
with Hans M. Amman, Computational Economics, Vol. 14, Nos 1-2, October 1999, pp. 151-181.
Computational Methods for Macro Policy Analysis: Hall and Taylor's Model in Duali
with P. Ruben Mercado, in A. Hughes Hallett and P. McAdam (eds), Analysis in Macroeconomic Modelling, Kluwer Academic Publishers, Boston and Dordrecht, Ch. 8, pp. 179-206, 1999.
Should Macroeconomic Policy Makers Consider Parameter Covariances
with Hans M. Amman, Computational Economics, Vol. 14, No. 3, December 1999, pp. 263-267.
Linear Quadratic Optimization for Models with Rational Expectations
with Hans M. Amman, Macroeconomic Dynamics, (1999) Vol. 3, No. 4, p. 534-543.
Matrix Methods for Solving Nonlinear Dynamic Optimization Models
with Hans M. Amman, in R. J. Heijmans, D.S.G. Pollock and A. Satorra (eds), Innovations in Multivariate Statistical Analysis: A Festschrift for Heinz Neudecker, Kluwer Academic Publishers, Dordrecht, The Netherlands, 2000, Chapter 19, pp. 257-276.
Stochastic Policy Design in a Learning Environment with Rational Expectations
with Hans M. Amman, Journal of Optimization Theory and Applications, Vol. 105, No. 3, pp. 509-520, June 2000.
Caution in Macroeconomic Policy: Uncertainty and the Relative Intensity of Policy
with P. Ruben Mercado, Economics Letters, Vol. 68, Issue 1, pp. 37-41, 2000.
Modeling Economic Growth with GAMS” with P. Ruben Mercado and Lihui Lin
chapter in Amitava Krishna Dutt and Jaime Rios (eds) (2003), Development Economics and Structuralist Macroeconomics: Essays in Honor of Lance Taylor, Edward Elgar Publishing, Cheltenham, UK.
Mitigation of the Lucas Critique with Stochastic Control Methods
with Hans M. Amman, Journal of Economic Dynamics and Control, Vol. 27, pp. 2035-2057, 2003.
Stochastic Control for Economic Models: Past, Present and the Paths Ahead
Journal of Economic Dynamics and Control, Vol. 29, pp. 3-30, 2005.
Computational Economics: Help for the Underestimated Undergraduate
with P. Ruben Mercado and Hans M. Amman, Computational Economics, Vol. 27, pp. 261-271, 2006.
A Classification System for Economic Stochastic Control Models
with Hans M. Amman, Computational Economics, Vol. 27, pp. 453-482, 2006. Published online on 25 May 2006 at http://dx.doi.org/10.1007/s10614-005-9000-8
Parameter Uncertainty and Policy Intensity: Some Extensions and Suggestions for Further Work
with P. Ruben Mercado, Computational Economics, Vol 27, pp. 483-496, 2006. Published online on 25 May 2006 at http://dx.doi.org/10.1007/s10614-005-9006-2
Teaching Computational Economics to Graduate Students
Computational Economics, Vol. 30, No. 4, November 2007, pp. 381-391.
Solving the Beck and Wieland Model with Optimal Experimentation in DualPC
with Hans M. Amman and Marco P. Tucci, Automatica, Vol. 44, 2008, pp. 1504-1510.
Duali: Software for Solving Stochastic Control Problems in Economics
with Marco P. Tucci and Hans M. Amman, chapter in Erricos J. Kontoghiorghes, Berc Rustem and Peter Winker (eds) Computational Methods in Financial Engineering: Essays in Honor of Manfred Gilli, Springer-Verlag, Berlin, 2008, pp. 393-419.
The Parameter Set in an Adaptive Control Monte Carlo Experiment: Some Considerations
with Marco P. Tucci and Hans M. Amman, Journal of Economic Dynamics and Control, Vol. 34, Issue 9, pp. 1531-1549, 2010.


