DESIGNING AN INDUSTRIAL POLICY FOR DEVELOPING COUNTRIES: A NEW APPROACH

Last registered on August 06, 2018

Pre-Trial

Trial Information

General Information

Title
DESIGNING AN INDUSTRIAL POLICY FOR DEVELOPING COUNTRIES: A NEW APPROACH
RCT ID
AEARCTR-0003215
Initial registration date
August 04, 2018

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 06, 2018, 3:56 AM EDT

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

Locations

Primary Investigator

Affiliation
Shahid Beheshti University

Other Primary Investigator(s)

Additional Trial Information

Status
Completed
Start date
2016-04-08
End date
2018-08-04
Secondary IDs
Abstract
In this study, the prevalent methodology for design of the industrial policy for developing country was critically assessed, and it was shown that the mechanism and content of classical method is fundamentally contradictory to the goals and components of the endogenous growth theories. This study, by proposing a new approach, along settling Schumpeter's economic growth theory as a policy framework, designed the process of entering, analyzing and processing data as the mechanism of the industrial policy in order to provide "theoretical consistency" and "technical and Statistical requirements" for targeting the growth stimulant factor effectively.
External Link(s)

Registration Citation

Citation
Haeri, Ali. 2018. "DESIGNING AN INDUSTRIAL POLICY FOR DEVELOPING COUNTRIES: A NEW APPROACH." AEA RCT Registry. August 06. https://doi.org/10.1257/rct.3215-1.0
Former Citation
Haeri, Ali. 2018. "DESIGNING AN INDUSTRIAL POLICY FOR DEVELOPING COUNTRIES: A NEW APPROACH." AEA RCT Registry. August 06. https://www.socialscienceregistry.org/trials/3215/history/32691
Experimental Details

Interventions

Intervention(s)
Corresponding Author
Intervention Start Date
2016-04-09
Intervention End Date
2018-08-03

Primary Outcomes

Primary Outcomes (end points)
no interest
Primary Outcomes (explanation)
no relevant data

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
industry
Experimental Design Details
new approach
Randomization Method
randomization done in office by a computer
Randomization Unit
clusters
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
200
Sample size: planned number of observations
10000
Sample size (or number of clusters) by treatment arms
50
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number

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