Improving Crop Estimates by Integrating Multiple Data Sources (2017) / Chapter Skim
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4 Sources of Data for Cash Rents
4 Sources of Data for Cash Rents
Pages 79-88
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From page 79... ...
In its surveys, NASS asks respondents to report acres rented and either the cash rental rate or the total dollars of rent paid. NASS computes cash rental rates as the ratio of total dollars paid in rent within a geographic area to total acres rented in that area based on responses to the Cash Rents Survey (used for county-level estimates)
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From page 80... ...
The ARMS Tenure, Ownership, and Transition of Agricultural Land (TOTAL) survey collected cash rental rates and farmland values in 2014 from landlord owners of agricultural land, including nonfarm operators of agricultural land, as a follow-on component of the Census of Agriculture program.
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From page 81... ...
The Purdue farmland value survey collects information from rural appraisers, commercial bank and agricultural loan officers, FSA personnel, farm managers, and farmers. These private surveys tend to be collected during the spring of the year and published in August, timing similar to that of the NASS Cash Rents Survey.
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From page 82... ...
annual Cash Rents Survey, and illustrated the approach by applying it to estimation of cash rents for irrigated cropland, nonirrigated cropland, and pastureland in six diverse states. A primary motivation for investigating model-based estimates of cash rental rates was to guide ASB with a transparent and reproducible method for developing county-level estimates for cash rents in the above three categories, along with mean squared error estimates of those rents.
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From page 83... ...
estimates to the corresponding aggregated state estimates, and the county-level estimates to the corresponding benchmarked ASD estimates. The proposed method benchmarks the county cash rental rates to the average cash rental rate for the state, with weights based on the fraction of rented acres in the county, a procedure more sophisticated than the ratio adjustment currently used by NASS.
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From page 84... ...
NASS could develop unconstrained estimates using models that include the auxiliary data on land characteristics, geographic location, and subsidy eligibility discussed earlier. The performance of the two modeling approaches could then be compared.
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From page 85... ...
Because of the low match rate between respondents in the two survey years, the revised model using data from 2014 and 2016 could not produce an estimate for all counties for which ASB produced estimates. The analysis presented to the panel displayed model results versus ASB estimates (indicating those suppressed for confidentiality purposes)
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From page 86... ...
NASS's estimates are derived through its ASB process. The panel was told that the primary inputs to the determination of cash rental rates for irrigated and nonirrigated cropland and pastureland are direct indications from the Cash Rents Survey.
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From page 87... ...
This experience can be used in creating formal and well-documented guidelines that would lead to a more transparent review process. RECOMMENDATION 4-4: The National Agricultural Statistics Ser vice should use its experience with the cash rents model results and other model-based approaches as a starting point for establishing a set of clear guidelines and rules for review of estimates before they are released for publication.
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