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Effect of extended trading hours on alcohol sales in Norway: a cluster randomised controlled trial

Last registered on August 31, 2020

Pre-Trial

Trial Information

General Information

Title
Effect of extended trading hours on alcohol sales in Norway: a cluster randomised controlled trial
RCT ID
AEARCTR-0006290
Initial registration date
August 18, 2020

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
August 18, 2020, 10:58 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
August 31, 2020, 8:49 AM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
Norwegian Institute of Public Health

Other Primary Investigator(s)

PI Affiliation
Norwegian Institute of Public Health
PI Affiliation
Norwegian Institute of Public Health

Additional Trial Information

Status
In development
Start date
2020-09-01
End date
2023-12-31
Secondary IDs
Abstract
Introduction: Norwegian alcohol policy measures include national restrictions on sales hours and a state monopoly on retail sales of strong beer, wine and spirits. Medium strength beer is sold in licensed grocery stores.
A one-hour extension of sales hours per week in the monopoly outlets can take effect from September 1st 2020. The Norwegian Ministry of Health and Care requested the Norwegian Institute of Public Health to evaluate possible effects of this change.
We aim to evaluate whether this increase in sales hours results in 1) an increase in alcohol sales in the monopoly outlets, and 2) an increase in total alcohol sales, including possible substitution effects from beer sales in grocery stores.

Design and methods: The state monopoly has agreed to implement extension of sales hours within a cluster randomised controlled trial design, to render possible an effect evaluation of this policy change. The unit of randomisation is trade district (total n=67 in Norway). Block randomisation of 62 of the 67 trade districts will allocate monopoly outlets to one of three experimental conditions regarding date of implementation of extended trading hours; i) September 1st 2020; ii) December 1st 2020, and iii) March 1st 2021. The extension of sales hours will be from 3 pm to 4 pm on Saturdays. Data on monthly sales of alcohol (total and beverage specific) in all monopoly outlets and grocery stores in Norway Norway will be obtained for a period of 72 months prior to – and 24 months after – implementation (i.e. from September 1st 2014 to March 1st 2023). Simulations suggest an increase in wine sales of 3.5%, which would be statistically significant under reasonable assumptions of power and analysis model.

Conclusion: The planned randomised controlled trial offers a rare opportunity to study possible causal effects of a relatively small change in a widely used alcohol policy measure.
External Link(s)

Registration Citation

Citation
Bergsvik, Daniel, Maja Weemes Grøtting and Ingeborg Rossow. 2020. "Effect of extended trading hours on alcohol sales in Norway: a cluster randomised controlled trial ." AEA RCT Registry. August 31. https://doi.org/10.1257/rct.6290-2.1
Sponsors & Partners

Sponsors

Experimental Details

Interventions

Intervention(s)
A one hour extension of trading hours on Saturdays in state alcohol monopoly outlets.
Intervention Start Date
2020-09-01
Intervention End Date
2021-03-01

Primary Outcomes

Primary Outcomes (end points)
Key outcome variables are monthly alcohol sales (total and beverage specific) in monopoly outlets and in licensed grocery stores, both measured in beverage specific volumes and in litres of pure alcohol.
Primary Outcomes (explanation)
Data on alcohol sales are provided in litres per beverage category, which will be calculated into litres of pure alcohol. All variables will be adjusted for seasonal variation.

Secondary Outcomes

Secondary Outcomes (end points)
i) Weekly alcohol sales (total and beverage specific) in monopoly outlets and in licensed grocery stores ii) distribution of total alcohol sales over days of the week (Monday through Saturday) in monopoly outlets; iii) distribution of alcohol sales over the trading hours on Saturdays in monopoly outlets, as measured in litres of pure alcohol and beverage specific volumes; iv) monthly alcohol sales (total and beverage specific) in monopoly outlets, as measured in turnover (NOK).
Secondary Outcomes (explanation)
Data on alcohol sales are provided in litres per beverage category, which will be calculated into litres of pure alcohol. All variables will be adjusted for seasonal variation.

Experimental Design

Experimental Design
A cluster randomised controlled trial design will be applied, using trade districts as clusters for randomization.
Experimental Design Details
A cluster randomised controlled trial design is applied. Monopoly outlets are clustered into 67 trade districts in Norway. Clustering by trade district was done to reduce spill-over effects (due to trade leakage). The state monopoly agreed to implement the extension of trading hours applying a randomised controlled design. However, they requested in June 2020 that the monopoly outlets in 4 large cities (Oslo, Bergen, Trondheim and Tromsø) be exempt from the experiment. Three of these cities (Oslo, Bergen and Trondheim), each constitute a trade district, whereas Tromsø is part of a larger trade district. There is large variation between trade districts with regard to number of monopoly outlets, and even larger variation with regard to alcohol sales. The trade districts were therefore block-randomized based on tertiles of alcohol sales (data obtained from 2018). The 50 outlets with the smallest sales were not included in these calculations, which implied that another 2 trade districts were not eligible for randomisation. Thus, altogether 62 trade districts were eligible for block randomisation into one of the three experimental conditions (i.e. implementation of extended trading hours by September 1st 2020; by December 1st 2020, or by March 1st 2021). In each trade district, extended trading hours will take effect on the same date for all monopoly outlets. After implementation, extended trading hours will remain the same throughout the study period.
Randomization Method
In office by a computer running a STATA block randomisation algorithm
Randomization Unit
Trade district
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
62 trade districts
Sample size: planned number of observations
228 monopoly outlets included in experimental design
Sample size (or number of clusters) by treatment arms
21 trade districts implement extended trading hours September 1st 2020; 21 trade districts implement extended trading hours December 1st 2020; and 20 trade districts implement extended trading hours March 1st 2021.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Power calculations were conducted as follows. Simulations were performed employing real sales data from January 2014 to August 2019. In these simulations, we assumed that extended opening hours were implemented by trade districts from September 1st 2018, December 1st 2018, and March 1st 2019, thus resembling the dates of the planned experiment, only two years before. For each outlet, the predicted increase in sales was set to be a uniformly distributed rate over the interval (0, 0.3) of mean hourly sales on Saturday afternoons in 2018; and this effect was further weighted by a relative measure of increasing sales on Saturday afternoons as compared to sales in the morning hours. The simulated increase in sales on Saturdays, given a one hour increase in trading hours, was then added to monthly sales data on which we ran regressions with standard errors adjusted for clustering. In the regression models, we also accounted for seasonal variation. With 100 simulations of different block randomizations and random effect sizes, we were unable to produce parameter estimates for wine (mean β=0.030) and spirits (mean β=0.025)  which were not statistically significant at p< 0.05. However, the effect on beer sales (mean β=0.018) was mostly statistically insignificant.
Supporting Documents and Materials

Documents

Document Name
Timeline Diagram
Document Type
other
Document Description
This diagram gives an overview of the timeline for trading hours in alcohol monopoly outlets in Norway by outlet category, for those eligible for allocation to experimental conditions and those not eligible for RCT.
File
Timeline Diagram

MD5: 4a435999b9ad8970c23ddf05d0b3e9f0

SHA1: e0d4950fee3cbfe71f619ef339e8d32ef11c0ba9

Uploaded At: August 31, 2020

Document Name
Analysis plan - SPIRIT
Document Type
other
Document Description
The pre-analysis plan is a project protocol developed in accordance with the SPIRIT checklist for clinical trial protocols.
File
Analysis plan - SPIRIT

MD5: 3c10101d513c8f772cfbef1179d505ee

SHA1: 790da89cb00316ac018803a27f718e887cf07f81

Uploaded At: August 31, 2020

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IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

Analysis Plan Documents

Analysis Plan

MD5: 3c10101d513c8f772cfbef1179d505ee

SHA1: 790da89cb00316ac018803a27f718e887cf07f81

Uploaded At: August 31, 2020

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials