JAM_2017_EDBT_v01_M
Replication Data for Estimating the Demand for Business Training: Evidence from Jamaica 2017-2019
Name | Country code |
---|---|
Jamaica | JAM |
Enterprise Survey [en/oth]
We share data, codes and questionnaires for the replication of the paper "Estimating the Demand for Business Training: Evidence from Jamaica." The study conducted two experiments in Jamaica using the Becker-DeGroot-Marschak mechanism and take-it-or-leave-it offers to estimate the demand for training. We found that most entrepreneurs have positive willingness to pay for training, but demand falls sharply as price increases. Offering the chance to pay in installments does not increase demand. Higher prices screen out poorer, less educated entrepreneurs with smaller firms. However, charging a higher price does increase attendance among those who pay. Finally, the paper points to the limitations of using a BDM mechanism in a context of low contract enforcement, and when payments for purchasing an intangible service do not occur immediately.
Sample survey data [ssd]
Entrepreneurs
Firms
943938000
Around the capital city of Kingston; Western regions of Jamaica, including the second-largest city in Jamaica, Montego Bay
Name | Affiliation |
---|---|
Diego Ubfal (World Bank) | World Bank |
Name | Affiliation | Role |
---|---|---|
David McKenzie | World Bank | co-PI |
Alessandro Maffioli | Idb Invest | co-PI |
Name | Role |
---|---|
Argidius Foundation | Funder |
World Bank’s Strategic Research Program | Funder |
Compete Caribbean Partnership Facility | Funder |
We selected firms to take part in the BDM elicitation method from the Western regions of Jamaica, which includes the second-largest city in Jamaica, Montego Bay. While we recruited firms for the TIOLI approach, mainly around the capital city of Kingston (72%), with the remainder from Montego Bay and surrounding parishes.
A variety of communication methods were used to contact entrepreneurs. These included emails to the client database of the organization providing the training; advertisements via social media, newspaper and radio; and messages from other firm support organizations. Entrepreneurs were asked to take a short baseline survey by phone, giving 1,782 eligible entrepreneurs who were then invited to come to demonstration sessions. 457 entrepreneurs came to demonstration sessions and completed the BDM elicitation method (BDM sample), and 374 entrepreneurs came to demonstration sessions and received take-it-or-leave-it offers (TIOLI sample). The dataset includes this final set of 831 observations.
The following instruments were used for data collection, and they are provided for download as related materials:
Baseline Survey
Follow-up Survey
Willingness to Pay Example (for TIOLI and BDM)
Start | End | Cycle |
---|---|---|
2017/08/01 | 2017/11/30 | Baseline for BDM sample |
2018/02/01 | 2018/05/10 | Baseline for TIOLI sample |
2018/09/15 | 2019/02/15 | Follow-up survey |
Our main two sources of data are from the phone baseline survey, and administrative data on willingness to pay, payment and training attendance. We also conducted a phone follow-up survey, however, given that response rates are highly correlated with price paid, particularly so for the BDM sample, we only use these follow-up data in the appendix of the paper.
Name | Affiliation |
---|---|
Diego Ubfal | World Bank |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
---|---|
yes | All identifying information has been removed |
Public use for non-commercial purposes
Maffioli, Alessandro, David McKenzie and Diego Ubfal (2022) "Replication Package for Estimating the Demand for Business Training. Evidence from Jamaica." Forthcoming Economic Development and Cultural Change.
The use 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 the interpretations or inferences based upon such use.
Name | Affiliation | |
---|---|---|
Diego Ubfal | World Bank | dubfal@worldbank.org |
DDI_JAM_2017_EDBT_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the study |
2022-01-20
Version 01 (January 2022)