• Taimur Chambers Plot # 10-D (WEST), Fazal-ul-Haq Rd, Islamabad
  • (+92) 51-2278134, (+92) 51-2278135
  • Taimur Chambers Plot # 10-D (WEST), Fazal-ul-Haq Rd, Islamabad
  • (+92) 51-2278134, (+92) 51-2278135

Policy Recommendations Details

Background of Event:

Limitations in data acquisition and collation to track progress on MDGs urged policy stakeholders at the global level to push for statistical capacity building measures in the post-2015 global development agenda. In context of this nascent, yet intense, discourse on data revolution, the seminar aims to provide a platform to data producers and data users for wide discussion on existing data challenges in Pakistan.

Alif Ailaan and SDPI hope to create an environment to spur improvements in the data regime through the Pakistan Data Portal and to enhance coordination between government institutions for better reporting at the national and sub-national level. The long term goal is to strengthen the role of national data providers, and also to highlight the importance of partnerships with international bodies for the purpose of enriching the national statistical capacity.

KEY POLICY RECOMMENDATIONS:

  •  Strengthen linkages between federal and provincial Bureaus of Statistics and coordination between line departments to ensure provision of speedy, reliable data at all levels.
  • Revisiting post-18th Amendment mandate of statistical authorities (and demands on statistical authorities) to make the data collection process more efficient.
  • Develop a nationally integrated system for data sharing, with easy access to quality data across social and economic sectors.
  • Promotion of data literacy and data users’ fora to drive the demand for evidence based decision making by holding regular meetings with data producers.
  • Alignment of definitions of key indicators should be made a priority to improve data comparability across sources.
  • Regular reconciliation of data for same variables during same time periods. This may also include creating interface between the definitions across datasets.

Education Data:

  • Education data discrepencies need to be targeted and removed, paving the way for a well-coordinated and reliable data regime for policymakers and researchers.
  • Data collection should be speedy, especially at national level, and lags in collection and reporting must be overcome.
  • Data on private schools and madrassahs must be collected and provided publicly.
  • Problems of data comparability, reliability and coverage need to be addressed by EMIS.
  • Errors and inconsistencies in data (such as those in PSLM and EMIS) lead to misleading policies and research outcomes, and therefore must be addressed urgently.
  • Provincial level Education assessments must be completed for Balochistan, KP, FATA, AJ&K, and GB in order to efficiently measure quality of education.
  • Raise the transparency of govt. expenditures by ensuring availability of spending data even at school level.
  • Public Expenditure Tracking Surveys (PETS) should be completed in order to promote transparency of funds flow and to capture inefficiencies in spending.

Nutrition Data

  • Collection of data relating to nutrition needs to be made a priority and should not only be driven by donor and partner interests.
  • Data on nutrition outcomes and behaviors must be included in health surveys.
  • National Nutrition Survey must be updated on a yearly basis.
  • Multi-sectoral action to be taken, along with direct nutritional interventions. This implies integration of policies for health, education, food security, sanitation and hygiene in order to reduce prevalence of under-nutrition and stunting in children.

Labour Market Data

  • There is a demand to make data on poverty, labour market and social protection at district level available by expanding the scope of income surveys/HIES from province level to district level.

For standardization, establishment of Labour Market Information (LMI) unit in all the four provinces would be helpful in reporting on international standard of labour market and labour market information analysis.

Tile of the Event: Data Gaps and Evidence-based Policymaking in Pakistan

Date: Monday, July 27th 2015.

 

No of Participants: 50