Page 32 - Special Topic Session (STS) - Volume 3

STS513 Sabrina O. R.
development. The second part of the methodology is the institutionalization
process. All the recommendations of the researchers were reviewed and
summarized to be able to proceed to the possible institutionalization of these
selected Tier 2 and Tier 3 indicators. This is done in the hopes of reclassifying
these indicators to a better tier classification.
Review of Indicators
The main goal of the project was to make the Philippine Statistical System
(PSS) ready and able to meet the challenges of achieving and monitoring the
SDGs by providing alternative means to generate disaggregated official
statistics using innovative data sources. To achieve this, the PSRTI reviewed
several Tier 2 and Tier 3 indicators that were considered viable for
institutionalization. The process started with PSA providing a mapping of the
possible SDG indicators with their tier classification. From this, 33 indicators
were selected to be further explored to see if they can be institutionalized on
the national and sub-national level in the country. After which, each indicator
was thoroughly researched.
The researchers studied each indicator by mapping the indicator to its
corresponding goal and target. Each indicators’ global definition was
investigated and reviewed to check if it was appropriate or relevant in the
Philippine setting. After the review, the researchers recommended one of the
four possible options to correspond to the global indicator. The researchers
could recommend (i) an exact match to the global indicator, (ii) a proxy
indicator to the global indicator, (iii) a sub-indicator to the global indicator, or
(iv) exclusion of the global indicator as it is unfit in the country’s setting. This
review and recommendation brought on the conceptual and operational
definitions of the indicators at the national and sub-national level. After these
were laid out, the necessary variables in the computation of the indicators
were identified together with its possible data sources. The researchers then
determined the viability of the indicators/sub-indicators and their method of
computation. Finally, the frequency and possible disaggregation of the
indicator were identified.
All of these steps were done through various ways. One of which is online
research work on the global metadata for the SDG indicators framework.
Another way was to research on existing statistical data generated by PSS and
other National Government Agencies (NGAs) from websites and publications
for information on data sources coverage, frequency of availability, level of
disaggregation, definitions and concepts, estimation procedure, data
availability, and issues/limitations. It was also done through close
communication and verification with the responsible NGA, the corresponding
Inter-Agency Committee, or PSA. Finally, the steps were achieved through field
validation in different Local Government Units (LGUs) and Highly Urbanized
City (HUCs).

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