Workshops and Tutorials
All Workshops will be held on Wednesday, November 9th, 2016. The exception is workshop number 6 which will be held on November 8th and 9th and workshop 5 which will be held on Tuesday, November 8th, 2016. Registration is required for each workshop. You can register for workshops 1-5 at the conference registration portal – http://www.narsc.org/newsite/conference/conference-registration/. Registration for Workshop 6 can be done by clicking on the link at the end of the workshop description below. Please register as soon as possible as space is limited for each workshop and there is no on-site registration for workshops.
Workshop 1 (Wednesday- Full Day)
Spatial Data Analysis with PySAL and GeoDaSpace
Sergio J. Rey
GeoDa Center for Geospatial Analysis and Computation
School of Geographical Sciences and Urban Planning
Arizona State University
Spatial Data Analysis with PySAL
Sergio J. Rey
Center for Geographical Information Analysis
School of Geographical Sciences and Urban Planning
Arizona State University
A unique feature of this tutorial is the use of Python based software tools for spatial data analysis. Python is an object oriented scripting language that is gaining rapid adoption in the computational sciences. Since its initial release in July 2010, PySAL has been downloaded over 100,000 times. This two-part tutorial will first provide participants with an introduction to Python and related tools for spatial and regional analysis. In the second part of the tutorial participants will learn version 1.12 of PySAL applied to spatial and regional analysis. Part I is thus designed for participants with no prior Python experience, while the second part assumes knowledge of materials covered in Part I.
Sergio J. Rey is Professor of Geographical Sciences and interim director of the Center for Georaphical Information Science at Arizona State University. Prior to joining ASU he was Chair and Professor of Geography at San Diego State University where he was also the founding director of the Regional Analysis Laboratory (REGAL) and co-director of the Center for Earth Systems Analysis Research (CESAR). He is a Fellow of the Spatial Econometrics Association, the Regional Science Association International, and the recipient of the 2016 University Consortium of Geographical Information Science Research Award.
Rey is project director for PySAL and the creator of the open source package STARS: Space-Time Analysis of Regional Systems. His research interests are in the area of geocomputation, exploratory space-time data analysis, spatial econometrics and urban/regional modeling with substantive applications to problems in regional economics, criminology, epidemiology, spatial demography and urban dynamics, among others. Rey has served as editor of the International Regional Science Review since 1999, editor of Geographical Analysis (July 2014) and as an editorial board member of Computers, Environment and Urban systems, Geographical Analysis, Papers in Regional Science, Professional Geographer, Region et Devloppement, and Spatial Demography.
The tutorial is planned for a full day, broken into two half-day sessions. Each session is organized into two 80-minute components separated by a 20 minute break.
This tutorial will offer participants the following:
- Introduction to Python for spatial data and regional analysis
- Introduction to PySAL for exploratory spatial data analysis
- Software and Tools Installation (80 min)
- Anaconda Python Distribution
- IPython/Jupyter Notebooks
- Python Primer (80 min)
- Data structures
- Control and Iteration
- Functions and Modules
PySAL for ESDA (80 min)
- PySAL Overview and Setup (10 min)
- Spatial data processing with PySAL (40 min)
- Processing spatial data with PySAL
- Spatial weights in PySAL
- ESDA with PySAL (30 min)
- Global spatial autocorrelation analysis
- Local spatial autocorrelation analysis
- PySAL for Regional Analysis (80 min)
- Regionalization (40 minutes)
- spatially constrained clustering
- Regionalization (40 minutes)
- Classic regression (20 min)
- Basic model setup
- Estimation (OLS and 2SLS)
- Diagnostics for spatial effects in OLS and 2SLS
- Basic spatial regression (20 min)
- Spatial error model
- Spatial lag model
Regional scientists, GIScientists, researchers and students interested in learning Python and using PySAL for computational scripting in spatial analysis and spatial econometrics.
This tutorial is geared towards individuals who have a basic understanding of exploratory spatial data analysis and spatial regression.
- The tutorial will consist of computationally-based instruction. This will include basic scientific scripting with Python and an introduction to PySAL.
- Participants are encouraged to bring their own laptops. We will cover installation of all required software in the morning session.
- Software Requirements
- Software will be made available on site.
- Sample data sets will be provided with the packages.
Expected Number of Participants
We have taught similar workshops to audiences of up to 75.
Workshop 2 (Wednesday – Full Day)
Economic Modeling with TERM-USA Using Customized RunGEM
John Madden and Louise Roos
Centre of Policy Studies (CoPS)
Victoria University, Melbourne
This one-day workshop introduces the participants to TERM-USA, a multi-regional computable general equilibrium (CGE) economic model of the United States, and provides practical experience in conducting model simulations. TERM-USA captures the behavior of economic agents in US regions linked by interrergional trade and factor flows. It is a powerful tool for analysing a wide range of issues facing US regions. TERM-USA is implemented using CRunGEM, a Windows program that makes it easy for users to run the model. The workshop overviews the main characteristics of TERM-USA and its data base, and demonstrates the model’s capabilities in analyzing some typical regional issues, such as the regional impacts of a major industrial project, a new fiscal policy, regional development policies, among many others. A particular feature of the workshop will be hands-on computer exercises with CRunGEM to provide workshop participants with experience in conducting a range of typical simulations.
To learn more about TERM-USA, to obtain a download of the model with the CRunGEM software, and to download technical information, please visit:
Instructors: John Madden and Louise Roos
John Madden is a Professor in the Centre of Policy Studies (CoPS) at Victoria University, Melbourne, Australia. Previous positions include Professor at Monash University (where he was Deputy Director of CoPS from 2004 to 2012), Director of the Centre for Regional Economic Analysis at the University of Tasmania and Scientific Fellow at Erasmus University Rotterdam.
Madden is a past President of the Pacific Regional Science Conference Organisation (2011-2012) and from 2002 to 2007 was a Councillor-at-Large on the Council of the Regional Science Association International (RSAI). He is a Regional Editor (Asia-Pacific) of Regional Science Policy and Practice.
Madden’s primary research activity is in the area of computable general equilibrium (CGE) modeling. Madden is the author of FEDERAL, one of the first large-scale multiregional CGE models. With James Giesecke he is co-author of the chapter on regional CGE modeling in Elsevier’s Handbook of Computable General Equilibrium Modeling. He has taught courses in CGE modeling for many years.
Madden’s current research projects include regional models focussing on transport and globalisation issues, and a dynamic fiscal CGE model of the Florida economy. His research also includes economic studies of: competition policy, fiscal federalism (including part of a Stanford University study), tax and labor-market policies, energy and environment, regional development, investment projects (e.g. the Very Fast Train, North West Shelf Gas) and mega-events (e.g. the Sydney Olympics and the FIFA World Cup).
Louise Roos is a Research Fellow at the Centre of Policy Studies (CoPS) at Victoria University. Prior to joining CoPS in 2011 she worked at the University of Pretoria (2000-2006) as a lecturer. Dr Roos has a PhD from Monash University (2012) and a Master of Economics from the University of Pretoria, South Africa (2003).
Louise’s research activity is on the theory and practical application of large scale dynamic computable general equilibrium (CGE) models. She has developed CGE models for a number of countries including South Africa, Uganda, Jordan and Saudi Arabia, and applied them to policy-relevant issues. Recent studies include CGE analysis of: the construction and operational phases of the extraction of new oil resources in Uganda; a cut in energy subsidies in Saudi Arabia; Australian migration schemes and regional development; HIV/AIDS prevention policy for South Africa; and baseline forecasts for the Indonesian economy with IndoTERM.
Louise has over 5 years’ experience in teaching CGE courses, both to postgraduate students and to attendees at CoPS short courses. She has developed course materials (including workshop exercises) for a number of CoPS short courses and been an instructor for these courses in a number of countries, including South Africa, Uganda, Malaysia, Saudi Arabia and Poland. Recently she designed a training course presented in Dubai which focuses on the CGE analysis of important economic issues in the Middle East region using Victoria University’ Middle East (VUME) model.
The workshop involves a full day of lectures and hands-on computing exercises. There will be a one hour lunch break and half hour breaks mid-morning and mid-afternoon. The morning session will start with three lectures followed by the first computing exercise. The afternoon will consist of two computing sessions followed by a final lecture. To participate properly in the computing sessions, participants will need to bring their laptop/notebook computer. Participants will be able to download the required software and install it on their computer prior to the workshop.
To provide workshop participants with the following:
1. An introduction to regional computable general equilibrium (CGE) modeling
2. A description of the TERM-USA economic model of the United States with 64 sectors, 70 regions and 12 occupations
3. Hands-on computing experience of running TERM-USA simulations with the CRunGEM software
4. Experience in using CRunGEM facilities for checking and interpreting results.
The workshop is aimed at regional scientists interested in the analysis of the economic impacts on regions of policy changes and other events. This includes those with some experience of CGE modeling interested in learning about a new multiregional CGE platform. It also includes those with input-output experience considering upgrading their capabilities to a user-friendly CGE facility. Additionally, it includes those who simply want to expand their knowledge of regional analysis to include a basic understanding of CGE modeling.
There are no specific prerequisites beyond an interest in learning about CGE capabilities. Participants will find it an advantage to undertake some pre-reading available from CoPS’ TERM-USA web site.
|8.00 am||8.20 am||Course welcome|
|8.20 am||8.50 am||Introduction to CGE modeling with TERM|
|8.50 am||9.45 am||Introduction to CRUNGEM/TERM: Tab file, nomenclature and data matrices|
|9.45 am||10.15 am||TERM production and imports|
|10.15 am||10.45 am||Morning coffee break|
|10.45 am||11.45 pm||Households and final demands|
|11.45 pm||12.30 pm||Aggregates and closures|
|12.30 pm||1.30 pm||Lunch|
|1.30 pm||3.00 pm||CRUNGEM: Introduction, Tablo, data viewing, running sims|
|3.00 pm||3.30 pm||Afternoon coffee break|
|3.30 pm||4.30 pm||Viewing and interpreting results; Analyse GE|
|4.30 pm||4.50 pm||Other TERM-USA applications|
|4.50 pm||5.00 pm||Course wrap-up|
Workshop 3 (Wednesday – half day – am)
Introduction to the AICS Community Intelligence Laboratory
Instructors – Greg Alward, David Kay, and Stephen Cook
Alward Institute for Collaborative Science
The Alward Institute for Collaborative Science (AICS) offers a 4-hour workshop introducing our AICS Community Intelligence Laboratory. The Community Intelligence Laboratory includes Tapestry, a data warehouse of regional social accounts plus dashboard applications to explore the contents of Tapestry and apply best practice economic analysis techniques. Topic areas that will be covered in the workshop include:
• Community Intelligence Laboratory Tapestry Data Model and Environment
• Configuration of the Community Intelligence Laboratory virtual data science system. This includes integrating SQL Server DBMS systems with R math/stat modeling services, Python, and Neo4j graphical database systems.
• Overview of an end-to-end virtual collaboration environment for building large-scale databases of regional SAMs to populate the Tapestry, and using R Services, Python and Neo4j to derive analytical models using the Tapestry database of SAMs.
• Community Intelligence Laboratory Applications
• Overview of current Community Intelligence Laboratory applications. Applications are organized around various themes:
• Social Accounting Matrix (SAM) Construction Theme. Methods and Applications include the tools combine control totals, production functions, and a trade model to construct a robust regional SAM; Adding/modifying production functions; Using Agricultural Budgets to modify production functions.
• Economic Structures Theme. Methods and Applications include: “Gross and Base” Contribution Analysis; Structural path analysis; Income Distribution; Time Series / Comparative Advantage; Cross-Sectional / Economic Diversity.
• Economic Connections Theme. Methods and Applications include: Supply chains & Value chains; Trade Modeling; Trade MRIO; Trade Mapping.
• Analysis Models Theme. Methods and Applications include: Traditional Leontief-type Input-Output Models; SAMs for Computable General Equilibrium Models; I-O Price Models; Ghosh-type Supply Models.
• Satellite Accounts Theme. Methods and Applications include: Adding Capital Accounts; Integrating current-year Quarterly Covered Employment and Wage (QCEW) data to social accounts; expanding government fiscal accounts in social accounts; Labor force (Occupations & KSAs).
Workshop 4 (Wednesday – half day – PM)
Advanced IMPLAN Symposium
Instructors: Jenny Thorvaldson, Ph.D. and Jimmy Squibb, M.A.
Regional Economists, IMPLAN Group, LLC
In this 4-hour advanced IMPLAN symposium, we’ll take a deep dive into the topics of trade flow data, Multi-Region Input-Output (MRIO) analysis, and the Social Accounting Matrix (SAM). A laptop is not required for this symposium, nor is having the IMPLAN software or data. However, if you do already have the IMPLAN software, we encourage you to bring your computer and any IMPLAN data/models that you have. If you do not yet have the IMPLAN software, feel free to contact us for a sample data set.
1. MRIO and Trade Flow Data
a. MRIO Analysis:
i. Rules and guidelines for linking places for MRIO analysis. In this section, we’ll discuss setting up your MRIO analysis, including the following topics:
- What are the rules to avoid double-counting?
- Can non-contiguous places be linked?
- How many models can be linked? Are there size restrictions to those models?
- Can models from different years or sector aggregations be linked?
- Can MRIO be performed at any geographic level?
ii. Interpreting MRIO results. In this section, we’ll discuss interpreting your MRIO results, including the following topics:
- How can the results for each individual place be viewed?
- How can MRIO multipliers be calculated?
b. Gravity Model. In this section, we’ll answer the cover the following:
i. What are the data sources for the gravity model?
ii. How does the model work?
iii. Planned enhancements to the trade flow data
c. Econometric RPCs. In this section, we’ll cover the following:
i. When would I use Econometric RPCs?
ii. How are the Econometric RPCs calculated?
iii. Planned enhancements to the econometric RPCs
2. Interpreting the Social Accounting Matrix (SAM) and using SAM data for analysis
a. Interpreting various cells and extracting insights. We will describe the economic meaning of data in the SAM, as well as how to calculate variables of interest, e.g., commuting rates and savings rates.
b. Noteworthy assumptions of the IMPLAN SAM. We will discuss, for example, the implications of aggregating certain accounts (e.g., TOPI, Enterprises), how IMPLAN constructs a balanced SAM, and how the SAM relates to the National Income and Product accounts. We will also discuss planned updates and enhancements to some of these data and procedures.
c. Tax impacts and how they relate to the SAM. The structure of the SAM provides the basis for IMPLAN’s tax impact module. We will explain in detail how tax impacts are calculated works and what assumptions it reflects. We will also discuss tax revenue data sources.
Workshop Title: Development of Standard Procedures for Contribution Analysis of Agriculture and Forestry
Full day, November 8, 2016
Greg Alward, Ph.D. and David Kay, M.S., Alward Institute for Collaborative Science
Jenny Thorvaldson, Ph.D. and Jimmy Squibb, M.A., IMPLAN Group, LLC.
This is a one day meeting with the objective of identifying standard procedures for conducting contribution of agriculture and/or forestry analyses.
Contribution analysis performed using IMPLAN data and software is an increasingly popular method for illustrating the importance of agriculture and/or forestry sectors to state and local economies. Over the past decade, at least 24 states have used IMPLAN to conduct contribution of agriculture analyses at some level. Upon examination of these studies, it became clear that there were numerous variations in terms of: 1) terminology (contribution versus impact), 2) defining agriculture through sector selection, and 3) reporting of results (output versus value added). In many cases, methods for conducting the analysis were described, however most descriptions weren’t presented in sufficient detail to allow an exact comparison of procedures used between studies.
To further analyze methodological variations between contribution of agriculture studies, an online survey was developed and distributed to agricultural economists across the country in late 2015. Survey questions focused on respondents’ choices related to trade flow models, multiplier selection, model customization procedures, and agricultural sector selection. Results of the survey show that, although there are some similarities in methods between researchers, no two researchers seem to perform contribution of agriculture analyses the same way. Similarly, a recent review of IMPLAN methodology procedures used by foresters in conducting contribution of forestry analyses revealed differences in methodological and definitional approaches used by different forester researchers. These results from the forestry and agricultural economics studies suggest a need for the development of standard procedures for use in conducting contribution analyses of the agriculture and/or forestry sectors.
This workshop will address the following topics:
* Agriculture/Forestry Contribution
o What do we (administrators & scientists) want to measure in reporting the importance of agriculture/forestry to legislators and stakeholders?
* Defining Agriculture/Forestry
o Which of IMPLAN’s current 536 sectors should be included when analyzing the economic contribution of agriculture/forestry?
o What is the best way to divide sectors in cases where partial contributions are identified?
* Methodology (Modeling Assumptions)
o What is the appropriate method to capture trade flow, including trade flow modifications?
o What is the appropriate method of closing the model for state level studies?
o IMPLAN’s study area agriculture data fluctuate between years and are sometimes unexplainable. Are there any practical methods for verifying/updating the data presented in IMPLAN?
o When and how should Industry Production Coefficients be modified?
o When and how should Commodity Production Coefficients be modified?
o What are the appropriate variables to use in reporting the contribution of agriculture/forestry?
o For what year should the results be presented, constant versus current dollars?
Workshop 6 (Tuesday – Wednesday)
IMPLAN Introductory Training in Minneapolis, MN
Please note this training is being held at:
Radisson Blu Minneapolis
35 South 7th Street,
Minneapolis, MN 55402
This IMPLAN Pro workshop is designed for new IMPLAN System users or those in need of an introductory review of impact analysis. While advanced topics are briefly presented, these will not be a focus of this workshop. The workshop emphasizes using the tools and procedures of IMPLAN Pro to evaluate the local economic impacts of projects. An emphasis is placed on framing impact problems and understanding and interpreting results. In addition, a survey of common uses of IMPLAN by governments, academia and consultancies for issue and project analyses is provided. Presentations include slide shows and instructor and participant study examples, along with interactive classroom lecture. After the training, the user should be able to perform economic impact studies with IMPLAN, understand their results, and be aware of potential issues that might arise. Please note that while we try to address each individual’s project questions during the workshop, the workshop agenda is a full two and a half days. Therefore, the instructors may not have time to address all project concerns.
Workshop Format: The workshop will be two full days; 9:00 a.m. – 5:30 p.m. Attire is casual.
Agenda topics for the Introduction to IMPLAN Pro workshop*:
Day 1 (9:00 a.m. – 5:30 p.m.)
What are Economic Impact Analyses and who performs them?
Social vs. Economic Impacts, Industries vs. Commodities, and Backwards and Forward Linkages
Distinguishing Activities, Events, and Scenarios
Framing your problem
Net Impact Analysis: An example of Framing the Problem and Activity Level
College Impact: Separating construction, operations, and student spending
Day 2 (9:00 a.m. – 5:30 p.m.)
Margins and Local Purchase Percentage (LPP)
Exploring IMPLAN Data
Effect of Assumptions on Your Study
Group Exercise: A Good, Better, and Best Study
St. Louis World Series: Tying Margins, Activity Level, Deflators and Employment Considerations
Contribution vs. Impact Analysis
Advanced Modeling Techniques
Support and Wrap up
Radisson Blu Minneapolis
35 South 7th Street,
Minneapolis, MN 55402
Radisson Blu Minneapolis
35 South 7th Street,
Minneapolis, MN 55402
Each attendee is responsible for their own lodging and accommodations. Room costs are not included in the workshop fee.
No refunds will be given for cancellations after November 25th, 2016.
Here is our website link for the product as well:
Workshop 1: Spatial Data Analysis with PySAL and GeoDaSpace (Full Day)Workshop Facilitators: Sergio Rey, Arizona State University and Luc Anselin, Arizona State University
Workshop Description: A unique feature of this tutorial is the use of Python based software tools for spatial data analysis. Python is an object oriented scripting language that is gaining rapid adoption in the computational sciences. To facilitate this adoption within the GIScience community, Rey and Anselin have collaborated on the creation of PySAL: Python Library for Spatial Analysis. Since its initial release in July 2010, PySAL has been downloaded over 50,000 times. This two-part tutorial will first provide participants with an introduction to Python and related tools for spatial and regional analysis. In the second part of the tutorial participants will learn version 1.8 of PySAL as well as GeoDaSpace, a GUI application based on PySAL designed for spatial econometric analysis. Part I is thus designed for participants with no prior Python experience, while the second part assumes knowledge of materials covered in Part I.
Workshop 2: Computational Economics and New Economic Geography Settings (Full Day)
Workshop Facilitators: Mauricio Ramírez Grajeda, Universidad de Guadalajara and Xiomara Vázquez Guillén, Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM) at Guadalajara,
Workshop Description: This is a technical workshop, which aims at providing tools to numerically solve out standard New Economic Geography (NEG) settings, and to plot their fundamental correlations in MATLAB. To the best of our knowledge, there is an uncovered gap within the profession in such particular issues. In this regard, most of the NEG literature is either theoretical or empirical. However, there is a lack of works that systematically links computational economics to NEG models. This workshop might help to improve the intuition behind the NEG paradigm as well as to motivate new theoretical developments. The basic references are Miranda and Flacker (2001, MIT Press) and Fujita, Krugman and Venables (1999, MIT Press). We will provide all the programs to the audience.
Workshop 3: Defining Best Practices for Economic Development Assessment and Evaluation for Food System Initiatives
Workshop Facilitators: Dawn Thilmany, Colorado State University and Luanne Lohr, U.S. Department of Agriculture (Half Day)
Workshop Description: This workshop will explore the best practices for framing and executing economic development metrics, assessment and evaluation of food system initiatives. The workshop will identify and provide guidance regarding several key issues and empirical challenges including: How to collect appropriate data, how to appropriately frame the study, how to interpret results from commonly applied economic impact exercises and how common economic and regional science tools are being used and modified to evaluate the sector. This workshop will explore real world studies of food system initiatives using IMPLAN software to illustrate the topics above.