Spatial Econometrics and Geographic Policy Analysis Training Course

Module 1: Foundations of Spatial Econometrics and Spatial Data Architecture

ü  Introduction to spatial econometrics: Why space matters in economic analysis

ü  Tobler's First Law of Geography and economic interactions

ü  Spatial data structures: Vector spatial data (points, lines, polygons) and raster grids

ü  Integrating GIS data into econometric software (R, Stata, Python)

ü  Practical Session: Importing, cleaning, and preparing spatial economic datasets for econometric modeling in R and Stata

Module 2: Spatial Autocorrelation, Diagnostic Tests, and Spatial Weights Matrices

ü  Concept and specification of spatial weight matrices ($W$): Contiguity, $k$-nearest neighbors, and inverse distance

ü  Row-standardization and economic interpretation of weight matrices

ü  Testing for global spatial autocorrelation: Moran's I, Geary's C, and Getis-Ord statistics

ü  Local Indicators of Spatial Association (LISA) for identifying regional economic clusters

ü  Practical Session: Constructing different spatial weight matrices and conducting Moran's I tests on regional income datasets

Module 3: Cross-Sectional Spatial Econometric Models: SAR, SEM, and SDM

ü  The Spatial Autoregressive (SAR) model: Modeling endogenous spatial spillovers

ü  The Spatial Error Model (SEM): Modeling spatial dependence in unobservables

ü  The Spatial Durbin Model (SDM): Incorporating exogenous spatial spillovers

ü  The General Spatial Model (SAC/Mansoori) and taxonomy of linear spatial models

ü  Practical Session: Specifying and estimating SAR, SEM, and SDM models on regional economic growth data

Module 4: Estimation Techniques: Maximum Likelihood and Spatial Instrumental Variables / GMM

ü  Limitations of Ordinary Least Squares (OLS) under spatial endogenous lag

ü  Quasi-Maximum Likelihood (QML) estimation of spatial models

ü  Two-Stage Least Squares (2SLS) and Generalized Method of Moments (GMM) with spatial instruments

ü  Handling endogeneity and measurement error in spatial regressions

ü  Practical Session: Estimating a spatial lag model using Maximum Likelihood and Instrumental Variable / GMM estimators

Module 5: Model Selection, Diagnostic Testing, and Direct/Indirect Impact Analysis

ü  Lagrange Multiplier (LM) tests and robust LM tests for spatial model specification

ü  Model selection strategies: From non-spatial to spatial models (LeSage & Pace framework)

ü  Interpreting parameters: Distinguishing direct, indirect (spillover), and total effects

ü  Computing standard errors and significance testing for spatial effects

ü  Practical Session: Performing LM diagnostic tests, selecting the optimal spatial model, and calculating direct and indirect spillover effects

Module 6: Geographically Weighted Regression (GWR) and Spatial Heterogeneity

ü  Spatial stationarity vs. spatial non-stationarity in economic parameters

ü  Local regression estimation: Geographically Weighted Regression (GWR) mechanics

ü  Kernel bandwidth selection: Fixed vs. adaptive spatial kernels

ü  Diagnostic evaluation of local parameter variation and local $R^2$ values

ü  Practical Session: Running a Geographically Weighted Regression in R to map spatially varying parameters in real estate price determinants

Module 7: Spatial Panel Data Econometrics: Fixed Effects, Random Effects, and Dynamic Models

ü  Introduction to spatial panel data: Combining cross-sectional spatial models with time series

ü  Spatial panel models with spatial fixed effects vs. individual fixed effects

ü  Spatial panel random effects estimators and Hausman specification tests

ü  Dynamic spatial panels: Incorporating spatial lags and time lags simultaneously

ü  Practical Session: Estimating a dynamic spatial panel data model on regional unemployment data across multiple years

Module 8: Spatial Impact Evaluation and Causal Inference in Geographic Settings

ü  Causal inference in spatial contexts: Controlling for spatial confounding and spillover bias

ü  Spatial Difference-in-Differences (Spatial DiD) for regional policy evaluation

ü  Regression Discontinuity Design (RDD) across geographic and administrative boundaries

ü  Synthetic Control Method (SCM) with spatial spillover controls

ü  Practical Session: Executing a Spatial Difference-in-Differences analysis to evaluate the local economic impact of an infrastructure policy

Module 9: Applied Urban, Regional, and Environmental Spatial Policy Analysis

ü  Spatial econometrics in housing and real estate markets (hedonic price modeling)

ü  Regional convergence analysis and spatial trade dynamics

ü  Environmental spatial policy: Carbon emissions, deforestation, and pollution spillovers

ü  Local public finance, fiscal competition, and tax spillovers among municipalities

ü  Practical Session: Replication of an empirical case study on municipal fiscal spillovers and tax competition using spatial panel data

Module 10: Advanced Topics, Big Data Integration, and Policy Presentation

ü  High-dimensional spatial econometrics and spatial machine learning integration

ü  Incorporating satellite imagery, night-time lights data, and mobile location data

ü  Formulating spatial policy recommendations and communicating uncertainty to policymakers

ü  Presentation of participant capstone spatial policy evaluation projects

ü  Practical Session: Extracting satellite night-light data, integrating it into a spatial model, and delivering an executive policy brief

About Our Trainers

Our training facilitators are distinguished spatial econometricians, senior economic advisors, and quantitative policy consultants with extensive experience working with international organizations, central banks, research institutes, and universities worldwide. They hold PhD degrees in Economics, Agricultural Economics, or Spatial Science and possess proven research records in developing and applying spatial econometric models to real-world policy challenges. Each trainer combines deep mathematical knowledge with practical hands-on software mastery to ensure an engaging, outcome-driven learning experience.

Quality Statement

Phoenix Training Center is committed to delivering world-class, practical, and impact-driven professional development programs. Our courses are meticulously researched, continuously updated, and designed to meet international educational standards. We adhere to rigorous quality assurance protocols to ensure our training solutions address contemporary industry challenges, comply with regulatory standards, and deliver maximum return on investment for both individual participants and sponsoring organizations.

Tailor-Made Courses

We understand that every organization has unique challenges and opportunities as well as unique training needs. Phoenix Training Center offers tailor-made courses designed to address specific requirements and challenges faced by your team or organization. Whether you need a customized curriculum, a specific duration, or on-site delivery, we can adapt our expertise to provide a training solution that perfectly aligns with your objectives. We can customize this Course to focus on your industry, specific risk profile, or internal stakeholder dynamics. Contact us to discuss how we can create a bespoke training program that maximizes value and impact for your team. For further inquiries, please contact us on Tel: +254720272325 / +254737296202 or Email: training@phoenixtrainingcenter.com.

Admission Criteria

ü  Participants should be reasonably proficient in English.

ü  Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.

Terms and Conditions

ü  Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

ü  What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

ü  Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

ü  Course Improvement: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

ü  Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Kindly send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training. Or call us on +254720272325 / +254737296202

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments a week before the training starts (at least 5 to 7 days before the Training start date) to reserve your seat:

ü  Groups of 5 People and Above – Cheque Payments to: Phoenix Center for Policy, Research and Training Limited should be paid in advance, a week before the training starts.

ü  Invoice: We can send a bill directly to you or your company.

ü  Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

ü  Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

ü  Participants may cancel attendance 14 days or more prior to the training commencement date.

ü  No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Accommodation and Airport Pick-up

For physical training attendees, we can assist with recommendations for accommodation near the training venue. Airport pick-up services can also be arranged upon request to ensure a smooth arrival. Please inform us of your travel details in advance if you require these services. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737296202.