IDN_2020_DEHS_v01_M
Digital Economy Household Survey 2020
Name | Country code |
---|---|
Indonesia | IDN |
Other Household Survey [hh/oth]
The World Bank conducted an in-depth analysis of the digital economy in Indonesia through the Digital Economic Household Survey (DEHS). The plan to survey 6,600 households was disrupted due to the pandemic. Thus, the DEHS dataset contains 3,063 households (HHs) out of planned 6,600 HHs (46%) from 311 enumeration areas (EAs) out of the planned 660 EAs.
The datasets contain household and individual data. Separate data files are provided for particular modules containing matrix-style questions. All household-level datasets contain the variable "hhid" as household identifier, whereas individual-level datasets contain both "hhid" and "hh_memberid" to identify individuals. These variables can be used for merging purposes across data files.
There are 6 modules available in these dataset: Module 1 contains general household-level information, including demographics, dwelling and ICT device usage. Module 2 asks on internet access and use, including device ownership, social media use, internet affordability, side effects and digital skills. Module 3 contains information related to service delivery, including government services, social assistance, education and health. Module 5 probes information related to household e-commerce activities as buyers and digital on-demand services. Module 6 focuses on use of digital finance in the household. Lastly, Module 9 collects information related to household enterprise activities, which includes e-commerce activities as sellers.
Individual, Household
v2.1: Clean, labelled, and anonymized version of the data set.
2020-04-26
The DEHS covers the following topics, divided in 6 modules, including household and individual information, modules on internet access and use, service delivery, e-commerce use (as buyers), digital finance and household enterprises (only for HHs that operate HH enterprise).
The survey is representative of major island regions in Indonesia (Sumatera, Java, Nusa Tenggara, Kalimantan, Sulawesi, Maluku, Papua).
Name | Affiliation |
---|---|
Imam Setiawan | World Bank |
Sailesh Tiwari | World Bank |
Name | Role |
---|---|
Department of Foreign Affairs and Trade, Government of Australia | Funding organization |
The survey uses Stratified Four-Stage PPES (Probability Proportional to Estimated Size) Sampling. As Primary Sampling Units (PSUs), districts in each region were stratified into 'rural' or 'urban'. Villages are Secondary Sampling Units (SSUs), while hamlets and households are Tertiary Sampling Units (TSUs) and Ultimate Sampling Units (USUs), respectively. Eligible villages are defined as villages with internet signal, regardless of the quality of the signal (4G, 3G, or 2.5G), based on Podes 2018 data.
The survey did not deviate from its sample design. However, the survey was unable to obtain its full sample (only 3,063 out of 6,600 households) due to early termination of the survey because of COVID-related restrictions.
The probability of selection is calculated according to the selection protocol:
Districts and cities with internet signal (based on Podes 2018 data) are selected with probability proportional to estimated size (PPES), by region as stratum. The number of households is estimated using number of families in each village from Podes 2018 data with the household to family ratio in each district taken from Susenas 2018 data.
Eligible villages (based on internet signal) are selected in sampled districts/cities PPES.
One EA (cluster) is randomly selected in each sampled village/city. EAs are groups of hamlets such that each EA contains 80 to 120 HHs. All HHs are listed in sampled EAs, with information on existence of HH enterprises.
Five HHs with enterprises and 5 HHs without enterprises are sampled in each EA.
Weights are defined as inverse probability weights (frequency weights) at the EA level (clusters). In addition to the weight variable, the following variables include information on the sampling: strata1, su1, fpc1, su2, and fpc2.
The DEHS questionnaire includes the following modules:
Module 1: General Information (01_DEHS_Questionnaire_General_Module_final_070620_eng.pdf)
Module 2: Internet Access and Use (02_DEHS_Questionnaire_internet_access_and_use_final_070620_eng.pdf)
Module 3: Service Delivery (03_DEHS_Questionnaire_Service_Delivery_final_070620_eng.pdf)
Module 5: E-commerce (05_DEHS_Questionnaire_e_Commerce_final_070620_eng.pdf)
Module 6: Finance (06_DEHS_Questionnaire_Finance_final_070620_eng.pdf)
Module 9: HH Enterprise (09_DEHS_Questionnaire_HH_Enterprise_final_070620_eng.pdf)
Note: The initial survey design also included module 7 (last mile internet service delivery) and module 8 (community retail price). However, both modules were ultimately dropped in order to save enumeration time, and reduce respondent fatigue.
Start | End | Cycle |
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2020-03-01 | 2020-04-20 | 1 |
Name | Affiliation |
---|---|
Bondan Sikoki | SurveyMETER |
Ni Wayan Suriastini | SurveyMETER |
The dataset cannot be disaggregated by island/province as they were not stratified. Given the early termination of the survey implementation, the sample might be biased to some extent against the hardest or the most lagging parts of islands because survey deployment started close to the airport or province bus terminal, where the enumeration team first deployed, and then planned to move through more distant EAs, which is usually more remote.
Name |
---|
Poverty Reduction and Policy Management Network (PREM) |
Name | Affiliation |
---|---|
Imam Setiawan | World Bank |
Confidentiality declaration text |
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The survey protects the rights of our respondent; no information regarding their names and locations nor any other variable that can be used for personal identification are provided in the dataset. Before being granted access to the dataset, all users must formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor. |
Use of the dataset must be acknowledged using a citation which would include:
Example:
Imam Setiawan, Sailesh Tiwari (World Bank). Indonesia Digital Economy Household Survey (DEHS) 2020. Ref: IDN_2020_DEHS_v01_M. Downloaded from [uri] on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | |
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Imam Setiawan | World Bank | isetiawan@worldbank.org |
DDI_IDN_2020_DEHS_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Data Group | World Bank | Documentation of the study |
2022-09-02
Version 01 (2022-09-02)