Nurturing new talent

Course on CONTINUING PROFESSIONAL EDUCATION ON DATA ANALYTICS AND SPATIAL ECONOMETRICS, 22-25 July 2019, De La Salle University, Manila, Philippines

ABOUT THE COURSE

This is a 4-day introductory training course on spatial data analysis using spatial econometrics, covering data mapping and spatial econometric modelling.  Following each lecture, there will be laboratory sessions on the application of the models using R and Stata. After the training, the participants are expected to acquire knowledge and skills to conduct analysis of spatial data using R and Stata. This course is co-sponsored by the Regional Science Association International under its Nurturing Talent Programme, endorsed by the Philippine Economic Society.

COURSE OUTLINE

Day 1

22 July 2019

·      Overview on the uses of spatial econometric models in economics and social sciences

·      Causal models of interdependent outcomes

·      Strategies for determining appropriate patterns of interconnectedness, geographic patterns of interdependence, and other means of Identifying how neighboring units are socially, politically and economically interdependent

Introduction to Spatial Statistics and Spatial Interdependence

Day 2

23 July 2019

·      Introduction of series of tests that will detect different patterns of spatial interdependence.

·      Connection of causal relationships on one’s theory to some basic econometric models including the spatial lag, spatial error and spatial-X models

Specification of the Spatial Interdependence

Day 3

24 July 2019

·      Issues of model specification that are unique to these models

·      Variety of techniques used to estimate spatial econometric models including OLS, MLE and two-stage least squares

Estimating Spatial Econometric Models

Day 4

25 July 2019

·      Calculation and visual depictions of substantive effects from a variety of spatial econometric models

·      Graphical and tabular techniques to provide meaningful quantities of interest from these models

Visualizing and Depicting Spatial Interdependence

LECTURERS

GIANFRANCO PIRAS, PhD

Associate Professor, Economics, The Catholic University of America

(https://economics.catholic.edu/faculty-and-research/faculty-profiles/piras-gianfranco/index.html)

LAWRENCE DACUYCUY, PhD

Full Professor and Research Fellow, DLSU-School of Economics

President, Philippine Economic Society

(https://www.dlsu-soe.com/dacuycuy.html)

For more information, visit https://www.dlsu-soe.com/dataanalytics.html.

About Us

The Regional Science Association International (RSAI), founded in 1954, is an international community of scholars interested in the regional impacts of national or global processes of economic and social change.

Get In Touch

Regional Science Association International
University of Azores, Oficce 155-156, Rua Capitão João D'Ávila, 9700-042 Angra do Heroísmo, Azores, Portugal

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Wednesday, 13 November 2019

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