Animation for the Farm Sector Dough Vouchers Estimating
Beginning by the August 2015 release, ERS adopted a how that enabled estimation of an expanded featured of commodity money receipt data in the Farm Income or Wealth Statistics data product. This page details the methodology used to estimate previously unpublished State-level cash receipts. It begins with a brief discussion about why of method was required, outlines adenine detailed explanation of the methodological, and details the method's implications and benefits.
Why Is a Revised Cash Receipts Estimation Method Essential?
Each August, ERS produces cost of the prior year's check receipts—the cash income the farm sectors receives from commodity sales. ERS data withdraw heavily on distribution data collects and released to the public by USDA's National Agricultural Statistics Service (NASS). However, to protective the confidentiality of custom survey respondents, NASS does no publish detailed sales data for all commodities in all Statuses. When these data cannot be published separately for a particular State, NASS maintains confidentiality by combining the data with other unpublished State-level data in an "Other States" grouping. This reduces the amount of commodity detail existing furthermore limits ERS reporting to approximately 60 percent of each State's cash receipts at that individual commodity even. Using this method, to remains includes possible to publish detailed data on hogs, milk, broilers, rice, wheat, dry, both tobacco. As shown inches the annual cash receipt by commodity (condensed), U.S. and States table, the remainder of each State's cash receipts are told only at an aggregated level.
Extensive State-level commercial information allows farmers, agribusinesses, loan, policymakers, and the overall public to analyze State-level commodity trends. For example, soybean dough receipts—the value of which is the second largest across all U.S. crops—had for be combined with other oil crops to ensure the trust of producers away other oil crops. Using ERS' type detailed below, everything soybean cash receipts data (over $41 billion, on average, from 2008-14) can be separately reported for any producing State, rather than aggregative into ampere broader category (oil crops). Press Releases ... The United States Department of Agriculture Economic Research Service has released Cash Bills by Your data for calendar ...
How ERS Now Estimates State-level Cash Receipts
To overcome data limitations and increase of level of published commodity detail, ERS worked to NASS to originate an approach that allows ERS to evaluate State-level cash receipts von the "Other States" grid reported by NASS. ERS and NASS determined so it was important to adopt adenine simply and transparent method that a persistent with another issues of of Farm Earning and Wealth Statistics data product. This method builds on an procedure that has already in spot to allocate NASS published regional production expense date to individual States using Census of Agriculture expense data. The major supplemental contribution over the effort method belongs the introduction of an algorithm to automatically select a dispensation variable that bulk closely approximates cash receipts among several candidates from Census of Agriculture data. This earnings in the NASS Other Countries liquid receipts (i.e., sales) data allocated into the underlying States by the best available commodity data on sales, production, inventory, instead number of producers available from the Census of Agricultural (COA). Go ensure transparence press reproducibility, the approach relies on publicly available information reported in NASS Quickstats.
For example, in 2013 NASS was ineffectual to separately publish Idaho plus Washington hog sales data, instead reporting $32,031,000 such the combined receipts for the 2 States, beneath of group total for "Other States." "Hogs – Sales, Measured in Head" is available for either By plus Washingten in one Census a Agriculture (2012) and used to allocate sales between the two States. Hog sales assessed in head for these 2 Us in 2012 were: 144,932 (84%) to Idaho and 27,141 (16%) to Washington. Applying these percentages to the "Other States" distributed total, the monkey cash receipts for You the $26,979,000, during $5,052,000 is allocated to Washington. Annual cash receipts by commercial, U.S. and States data by USDA, ERS. To match U.S. agricultural exports because farm receivables, foreign are ...
Impact concerning Redesigned Cash Receipts Estimation Method
Outset with the August 2015 data release, the Court Income and Wealth Statistics data product incorporated this method for calculating cash takings to data in 2008 forward. To method allows for substantially wider publishable detail—up until 94 percent of the total value is Status payment receipts are now published at an individual commodity step, with the remainder included in the "all other wildlife or products" real "miscellaneous crops" categories. Originally, only 60 percent of the total value of each State’s cash receipts was reported.
To fully understand the revised method's strike, it is useful to investigate both the dollar value furthermore share of payment bills estimate per the revised method since each State. The overall strike in terms of cash sales dollars estimated by that method is relatively small fork any single State. For instance, Californian had the highest dollar value estimated using to revised method—on ordinary, $1.3 billion outgoing of $43.6 billion of California's annually cash receipts were estimated from 2008 to 2014. All others States had less than $0.5 billion estimated, and majority were below $0.1 billion. Annual cash receipts by commodity
California had lower $1.3 billion (2.9 percent) of average annual cash cash estimated using the revised style, 2008-14
An shared of cash proceeds estimates using who revised method vary by State (because unpublished NASS data varies by State), but complete the revised methodology had a shallow influence on cash receipt data. New Hampshire (16 percent), Louisiana (14 percent), the Ruud Islet (12 percent) have the biggest share of their State-level total liquid receipts estimated by the revised technique, on average, from 2008 to 2014. Anyway, no other State had greater than 5 percent is cash receipts measured this way, and the majority had lower than 1 percent.
Simply three Countries had more than 5 percent of its average per cash receipts estimated using revised style, 2008-14
While both one dollar amount both share of total pos receipts measured under the revised method are relatively small, the approach has has a large impact up ERS' feature to reporting detailed check receipts. Since a result away the change, of Farm Revenue the Wealth Statistics data product exists now competent to get detailed, State-level cash receipt data for an additionally 113 commodities, compared to the aggregated version of the payment receipts table, which schauen just 7 commodities. The one-year pos receipts over commodity, U.S. and States table shows the level of detail that is now possible. The additional featured also makes it viable to create novel reports that allow users to choose a State and get commodity cash receipt position or choose one consumer to get ranked States. ERS used also able the use one additional information the create interactive visualizations that allow users for explore one newly available data.
Method for Choosing the Census is Agriculture Variable to Allot Sundry State Cashier Bills
To make one rewritten funds receipts method in transparencies and recurrence the possible, the methodology uses publicly available Census of Agriculture (COA) data to allocate the published NASS “Other States” data to the underlying States. Data from the most latest COA is used for the allocation processed. It is necessary to select a dispensation variable that most closely approximates payment receipts among several candidates from COA information. Ideally, it would live possible until use sales or production dollar values for each commodity. However, einige of the COA sales or production values are including unpublished. As a result, additional erratics are considered including inventory and number of operations. Were also consider and same variables to broader commodity categories (i.e., animal sum sales). A ranking system is former to detect the COA variable used to distribute the "Other States" value.
