Day/date         : Saturday and Sunday, 13-14 July 2024
Time                : 08.30 -18.00 WIT
Place               : Santika Hotel, Ambon, Maluku.

Brief description of the training:

Regional inequality, particularly acute in large archipelagos and populous emerging nations such as Indonesia, where significant factor endowment imbalances and underdeveloped interregional linkages persist, remains a central concern in policy discourse and empirical research.

This two-day workshop provides fundamental training in two key empirical applications: regional income inequality analysis and explanatory spatial data analysis. On the first day, participants will be introduced to the basic theories and methods for measuring regional income inequality. Participants then learn how to decompose inequality and identify the factors influencing regional disparities as outlined by Akita and Kataoka (2022). The second day shifts the focus to the rudimentary framework of explanatory spatial data analysis, which uncovers spatial autocorrelation and identifies spatial clusters or outliers by incorporating geographic data with spatial visualization techniques, as outlined by Kataoka (2022). The workshop aims to bridge the gap between theoretical concepts and practical approaches in regional inequality analysis.

The workshop will also provide hands-on training in various data analysis techniques using Stata. It is designed for researchers, government officials, graduate students, and other professionals interested in studying the distribution of income across subnational regions.

Learning outcomes:

• Understand the theory of regional income disparity and its measurement tools.
• Understand the regional inequality decomposition method.
• Examine the presence of spatial autocorrelation and identify the locations of spatial clusters/outliers.
• Enhance the visualization technique in spatial data: Choropleth mapping.
• Improve the Stata coding skills, related to the above.

Session topics:

• The basic theory of regional inequality and its measurement.
• Regional inequality decomposition by population sub-group and income sources
• Regional inequality decomposition by factor component
• Explanatory spatial data analysis (Spatial autocorrelation)
• Visualization techniques of spatial distribution: Choropleth mapping

Instructor: Prof. Mitsuhiko Kataoka, Graduate School of Business, Rikkyo University.

Note:

• Please be aware that the training will be conducted in English.
• It is essential for the participants to bring your owned Stata installed PCs.
• Basic Stata coding skills are required. The Stata data and do-files are shared among the participants before the workshop.
• We limit class size for effectiveness of training delivery. Participants will be selected if number of applications exceeds the optimum class size. Hence please register as soon as possible.
• To register please fill out this form. Email it to wardisgirsang641(at)gmail.com and cc it to heriyaldi(at)unpad.ac.id.
• Our training staff will inform you of your registration status and if seats are still available for the training.
• Please note that there is a registration fee, which does not include the cost of traveling and accommodation to participate in this training as well as to attend the conference.
• Once your application is accepted, you need to pay the training fee as much as Rp. 1,250,000.- (one million two hundred fifty thousand Rupiah) per person for this training.
• The two below readings enhance the participants’ understanding.

References

Akita T, Kataoka M, 2022 Regional Inequality and Development: Measurement and Applications in Indonesia, Springer
Kataoka M, 2022 Cyclical shocks and spatial association of Indonesia’s district-level per capita income, Asian Economic Journal. DOI: 10.1111/asej.12277

Any question regarding this training can be sent to: wardisgirsang641(at)gmail.com.

Schedule (tentative)

Day 1

8:30-9:00:        Registration 
9:00-10:30:       1. The basic theory of regional inequality and its measurement
10:30-11:00:     Tea break
11:00-12:30:     2. Regional inequality decomposition by population sub-group and income sources
12:30-13:30:     Lunch break
13:30-15:00:     3. Regional inequality decomposition by factor component
15:00-16:30:     Tea break
16:30-18:00:     4. Visualization techniques of spatial data: choropleth mapping

Day 2

9:00-10:30:       5. Explanatory spatial data analysis 1
10:30-11:00:     Tea break
11:00-12:30:     6. Explanatory spatial data analysis 2
12:30-13:30:     Lunch break
13:30-15:00:     7. Review and Wrap-up (Plan B: Group research work.)
15:30-16:00:     Tea break
16:30-18:00:     8. (Plan B: Group Presentation)

At the request of participants, sessions 7 and 8 will be replaced by group research sessions.