Risk Preferences and Demand for Crop Insurance and Cover Crop Programs (RPDCICCP)

ICR 201612-0536-001

OMB: 0536-0076

Federal Form Document

Forms and Documents
Document
Name
Status
Supporting Statement B
2017-07-07
Supporting Statement A
2017-07-07
ICR Details
0536-0076 201612-0536-001
Historical Active
USDA/ERS
Risk Preferences and Demand for Crop Insurance and Cover Crop Programs (RPDCICCP)
New collection (Request for a new OMB Control Number)   No
Regular
Approved with change 07/07/2017
Retrieve Notice of Action (NOA) 12/28/2016
This ICR is approved for one-time collection under the requirements of XXXX. While OMB supports the exploratory nature of this experimental study on risk preferences, OMB requires the following to improve the practical utility of this line of research: 1. Incentives (1): OMB believes that there is ERS provided inconclusive evidence on how increasing payment amounts to student participants in experimental studies are related to their performance (Holt and Laury 2002, and Holt and Laury 2005). Given the weak relationship between payment amounts and performance and the unlikelihood of reaching the payment amount of $100 (i.e., the conditional probability of realizing a payment of $100 is 0.52%), OMB believes capping the payment amounts to $100 may be sufficient to generate enough variability in the experimental results to satisfy the goals of this research. Accordingly, payments to respondents under this clearance may not exceed $100 (excluding $10 show-up fee). Please note that the payments to participants of economic experiments are not same as incentives offered to respondents to surveys. The $110 cap which includes all payments to experimental subjects including the show-up fee only applies to economic experimental subjects. 2. Incentives (2): OMB believes that there is there is an extensive literature on the relationship between payment amount and performance in social and behavioral science research. However, the conclusions resulting from those research studies on this topic were not uniform and some were even contradictory or controversial. OMB welcomes ERS proposed submission of supplementalWe would like the ERS to submit a literature review of the relationship between payment amount and performance that will provide a comprehensive picture of the research findings in the social and behavioral science research literature. ERS should also use the experiments proposed to conduct its own analysis of the relationship between payment amounts and performance and submit the results of that analysis to OMB. 3. Literature Review: OMB welcomes ERS’ proposed submission ofERS has not submitted a comprehensive review of the experimental economics literature on risk preferences. Rather ERS submitted a review of empirical economics literature on the effect of USDA commodity support programs on agricultural production choices and their effects on the environment. While improving USDA commodity support program may be an end goal of understanding farmer risk preferences, ERS must providehas not provided a discussion on how the empirical literature on agricultural production choices and effects on environment are related in this ICR. ERS must provide the relevant literature review for the ICR being submitted. If ERS submits reviews of related economic literature, the agency must explain how these different fields are related for the purposes of the ICR. 4. Cumulative Prospect Theory and Myopic Loss Aversion: ERS offers cumulative prospect theory and myopic loss aversion as potential explanations as why ERS models tend to over-predict farmer enrollment levels in USDA insurance and conservation programs. The ERS models are based on expected utility theorem. Aside from hypothesizing that the farmer behavior may be more consistent with cumulative prospect theory or myopic loss aversion (e.g., testing for correlation between risk preferences based on cumulative prospect theory and myopic loss aversion and demand elasticities for crop insurance), ERS doesn’t offer much in terms of modeling or theoretical predictions based on different theories of behavior. OMB welcomes ERS’ proposed discussion onERS should discuss whether the research protocol is capable of identifying the level of difference between the predictions of expected utility theorem, cumulative prospect theory and myopic loss aversion. If ERS cannot model the difference between the predicted levels of behavior, ERS must demonstrate how this research furthers the understanding in experimental economics in general or other indicators of practical utility. 5. Use of Student Experimental Subjects: ERS proposes to use a university student population as a first step to examine and to further understanding of risk preferences that will lead to refinements in USDA models of program participation. OMB agrees that the ease of administration and low cost associated with using convenience samples of university students is appropriate for exploratory investigations such as whether the subjects understand the concepts the researchers are trying to convey, whether the subjects use similar or different language to convey the concepts that are being explored, and whether the experimental protocols are working as expected. Although ERS explicitly states that the purpose of this research ICR is not to produce policy relevant estimates, ERS does not explain how this exploratory research will inform further research on risk preferences. ERS should expect to provide the necessary research agenda for future ICR(s) associated with this exploratory experimental economics ICR to clarify the practical utility of this study. Furthermore, ERS should expect to provide the necessary research agenda for future ICRs associated with any exploratory experimental economics ICRs (aka research ICRs) to clarify the practical utility of research ICRs. 6. Lack of Plans to Conduct Preliminary Work to Assess Farmer Risk Preferences: ERS has not provided to OMB any plans to extend the risk preference research to farmer population. OMB encourages ERS to undertake further work to ensure that farmer subjects understand the concepts the researchers are trying to convey, develop experimental protocols and any associated instruments to use appropriate language to convey the concepts that are being explored, testing for validity of the experimental protocol, and develop appropriate sampling plan for the target farmer population. OMB believes that without this work, ERS exploratory experimental economics may have very limited practical utility.
  Inventory as of this Action Requested Previously Approved
07/31/2020 36 Months From Approved
2,500 0 0
861 0 0
0 0 0

This data collection will use an experiment with university students to study individual risk preferences and demand for crop insurance and cover crop programs. Outputs from the experiment will be used to inform future experiments with farmers.

US Code: 7 USC 2204 Name of Law: General duties of Secretary; advisory functions; research and development
  
None

Not associated with rulemaking

  81 FR 180 09/16/2016
81 FR 247 12/23/2016
No

2
IC Title Form No. Form Name
Risk Preferences and Demand Experiment for Crop Insurance and Cover Crop Programs (RPDCICCP)
Demographic Questionnaire

  Total Approved Previously Approved Change Due to New Statute Change Due to Agency Discretion Change Due to Adjustment in Estimate Change Due to Potential Violation of the PRA
Annual Number of Responses 2,500 0 0 2,500 0 0
Annual Time Burden (Hours) 861 0 0 861 0 0
Annual Cost Burden (Dollars) 0 0 0 0 0 0
Yes
Miscellaneous Actions
No
This is a new information collection.

$228,000
Yes Part B of Supporting Statement
No
No
No
No
Uncollected
Pheny Weidman 202 694-5013 pweidman@ers.usda.gov

  No

On behalf of this Federal agency, I certify that the collection of information encompassed by this request complies with 5 CFR 1320.9 and the related provisions of 5 CFR 1320.8(b)(3).
The following is a summary of the topics, regarding the proposed collection of information, that the certification covers:
 
 
 
 
 
 
 
    (i) Why the information is being collected;
    (ii) Use of information;
    (iii) Burden estimate;
    (iv) Nature of response (voluntary, required for a benefit, or mandatory);
    (v) Nature and extent of confidentiality; and
    (vi) Need to display currently valid OMB control number;
 
 
 
If you are unable to certify compliance with any of these provisions, identify the item by leaving the box unchecked and explain the reason in the Supporting Statement.
12/28/2016


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