Second Regional Training Course on Sampling Methods for Producing Core Data Items for Agricultural and Rural Statistics

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In person

09 to 20 November 2015

Jakarta , Indonesia

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Overview

The Second Regional Training Course on Sampling Methods for Producing Core Data Items for Agricultural and Rural Statistics will be held from 9 to 20 November 2015 in Jakarta, Republic of Indonesia. The regional training course is part of the training programme of the Asia-Pacific Regional Action Plan to Implement the Global Strategy to Improve Agricultural and Rural Statistics (RAP) and will be conducted in collaboration with the Food and Agricultural Organization (FAO) and BPS-Statistics Indonesia of the Government of the Republic of Indonesia.

The regional training course aims to provide technical guidance on the selection and application of appropriate sampling methods for producing the minimum set of core data items for agricultural and rural statistics. Specifically, the objectives of the course are to:
(i) examine the minimum set of core data items for agricultural and rural statistics in the context of the application of sampling methods for data collection and production of associated statistics and indicators and
(ii) increase capability of participants in designing sample surveys for production of agricultural and rural statistics

Target participants of the course are senior and middle level government statisticians of priority countries of the Asia-Pacific Regional Action Plan to implement the Global Strategy, directly engaged in the design of primary data collection of data on crops, livestock, horticulture, fishing and aquaculture statistics and in producing survey estimates of associated statistics and indicators. Participants from all of ECO Member States are expected to participate in the workshop.

26 participants from Afghanistan, Bangladesh, Bhutan, Cambodia, Fiji, Georgia, Indonesia, Lao PDR, Maldives, Myanmar, Pakistan, Papua New Guinea, Samoa, Sri Lanka and Viet Nam are expected to participate on the course.

Course Materials

Module 1– Sampling in the Context of the Global Minimum Set of Core Data Items

Session 1.1:Overview of the Global Strategy for Agriculture and Rural Statistics and the Asia-Pacific Regional Action Planpdf
Session 1.2:Minimum Set of Core Data Items: Output, Resources and Input Variablespdf

Module 2 – Review of Basics of Sampling Methods: Probability Sampling, Sample Selection and Sample Design and Estimation

Session 2.1:Terminology, Concepts and Definitionspdf
Session 2.2:Systematic Samplingpdf
Session 2.3:Objectives and Use of Stratification in Sample Designpdf
Session 2.4:Objectives and Use of Clustering in Sample Designs; Sampling with Probability Proportional to Size and One-stage cluster samplingpdf
Session 2.5:Objectives of Multistage Sampling and Illustrative Designspdf
Session 2.6:Sampling Errors and Design Effects: Estimating and Interpretingpdf
Session 2.8:Sampling Frames: Types, Sources & Usespdf

Module 3 – Sampling Methods for Crop Cutting Surveys

Session 3.1:Crop-cutting Surveys: Basic concepts, variablespdf
Session 3.2:Sampling Designs for Crop-cutting Surveys
Session 3.3:Estimation Methods for Output, Resource and Input Indicators from Crop-cutting Surveyspdf
Session 3.4:Data Collection Tools for Crop-cutting Surveys: Considerations in designing tools to facilitate sampling requirements [Updating sampling frames, facilitating sample selection, providing estimation variablespdf
Session 3.5:Field Operations for Crop-Cutting Surveys: Focus on ensuring proper implementation of sample design and selection and minimizing non-sampling errorspdf

Module 4 – Sampling Methods for Horticulture Surveys

Session 4.1:Horticulture Surveys: Basic concepts, variablespdf
Session 4.2:Sampling Designs for Horticulture Surveyspdf
Session 4.3:Estimation Methods for Output, Resource and Input Indicators from Horticulture Surveyspdf
Session 4.4:Data Collection Tools for Horticulture Surveys: Considerations in designing tools to facilitate sampling requirementspdf
Session 4.5:Field Operations for Horticulture Surveys: Focus on ensuring proper implementation of sample design and selection and minimizing non-sampling errorspdf

Module 5– Sampling Methods for Livestock Surveys

Session 5.1:Livestock Surveys: Basic concepts, variables (output, resource and input), survey objectives and statistical units for survey collection of core data and estimation of basic indicatorspdf
Session 5.2:Sampling Designs for Livestock Surveyspdf
Session 5.3:Estimation Methods for Output, Resource and Input Indicators from Livestock Surveyspdf
Session 5.4:Data Collection Tools for Livestock Surveys: Considerations in designing tools to facilitate sampling requirements [Updating sampling frames, facilitating sample selection, providing estimation variablespdf
Session 5.5:Field Operations for Livestock: Focus on ensuring proper implementation of sample design and selection and minimizing non-sampling errorspdf

Module 6 : Sampling methods for the fisheries and aquaculture surveys

Session 6.1:IntroductionSectionpdf
Session 6.1:Basic concepts, variables, and survey objectivespdf
Session 6.2.1:Sampling design – capture fishery/ fishing landing surveypdf
Session 6.2.2:Sampling design – Aquaculturepdf
Session 6.3:Estimation methods – input, stock, resource, outputpdf
Session 6.4:Data collection toolspdf
Session 6.5:Field operation -- proper implementation of sampling design; -- non-sampling errorspdf
Country Report and Presentation
Afghanistan
Bangladeshpdfpdf
Bhutanpdfpdf
Cambodiapdf
Georgiapdf
Indonesiapdfpdf
Indonesiapdfpdf
Lao PDRpdf
Maldivespdf
Myanmarpdf
Pakistanpdf
Papua New Guineapdf
Sri Lankapdf
Samoapdf
Vietnampdf