Jaki McCarthy and Denise Abreu USDA’s National Agricultural Statistics Service

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Identifying Sources of Error: the 2007 Classification Error Survey for the US Census of Agriculture Jaki McCarthy and Denise Abreu USDA’s National Agricultural Statistics Service Presented at the International Total Survey Error Workshop Tallberg, Sweden June 2009

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Identifying Sources of Error: the 2007 Classification Error Survey for the US Census of Agriculture. Jaki McCarthy and Denise Abreu USDA’s National Agricultural Statistics Service Presented at the International Total Survey Error Workshop Tallberg, Sweden June 2009. Target: Census of - PowerPoint PPT Presentation

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Page 1: Jaki McCarthy and Denise Abreu USDA’s National Agricultural Statistics Service

Identifying Sources of Error: the 2007 Classification Error Survey for the US Census of

Agriculture

Jaki McCarthy and Denise AbreuUSDA’s National Agricultural Statistics Service

Presented at the International Total Survey Error Workshop

Tallberg, Sweden

June 2009

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Errors in one survey can be measured with matching information from other sources Target:

Census of Agriculture

Alternate Source of Information:

June Agricultural Survey

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Error of Interest: Scoping Errors, i.e. Census Misclassification Census farms incorrectly classified

as non-farms

Census non-farms incorrectly classified as farms

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Errors in one survey can be measured with matching information from other sourcesCensus of Agriculture Census of Agriculture

conducted every 5 years

Count of all US Ag operations ($1000 or more in sales)

Primarily mail data collection

Data collected December - March

June Agricultural Survey (JAS)

Annual area frame based sample survey in June

JAS is primarily face to face interviews

Data collected in first 2 weeks of June

JAS has been used to measure undercoverage and misclassification on census

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JAS – Area Frame BasedJAS – Area Frame Based

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NASS Area Frame - SEGMENTNASS Area Frame - SEGMENT

Theoretically complete sampling frame

No overlap or gaps

Segments of land sampled

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NASS Area Frame – Segment NASS Area Frame – Segment EnumerationEnumeration

Sampled segments divided into tracts representing unique land operating arrangements

In-person interviewers screen for whether a tract is part of an agricultural operation and, if so, collect crop and livestock information

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Background:Previous Classification Error Studies

Measured census classification error – records incorrectly classified as farms or non-farms and duplication

Census records matched to JAS

JAS was assumed as truth; differences between the two sources were designated as census misclassification

Overall census misclassification error was estimated

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Background:Previous Classification Error Studies

Net classification error was small and was not used to adjust census numbers

For these reasons, shift in study’s primary objective

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Current Classification Error Survey

To identify REASONS for discrepancies between the JAS and the Census

Qualitative examination of why errors occur Classification errors Reporting errors also examined

To provide information to improve quality of the data, reduce analyst review and editing

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2007 CES Objective

Determine whether acreage/scoping differences are legitimate changes or errors

Determine why people report incorrectly

Determine if the forms were correctly processed

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Methods Census records matched to JAS records

Respondents records with scoping or acreage discrepancies were identified

Respondents re-interviewed and asked to resolve discrepancies

Census farm Census non-farm

JAS farm Match Misclassification - undercount

JAS non-farm Misclassification - overcount

Match

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Identifying Groups with Discrepancies

Group Description Action Total

MATCH:Classification in

agreement, acres comparable

Census farm/ JAS farm OR

Census non-farm / JAS Non-farm

No Action 1,629

MATCH:Classification in

agreement, acres not w/in 25%

Census farm / JAS estimated farm No Action; JAS Incorrect

240

Census farm / JAS farm Re-interview 1,122

Potential Scoping Errors:

Classification Conflict

Census non-farm by NASS / JAS farm FO Review Only 158

Potential Undercount:Census non-farm / JAS farm

Re-interview 185

Census non-farm / JAS estimated farm

No Action; JAS Incorrect

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Potential Overcount:Census farm/JAS Non-farm

Re-interview 279

Total 3,666

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Discrepancies between Census and JAS

Scoping differences: 18.4% of matched records had discrepancies in classification (~3% net classification error)

Acreage differences: 37.2% of matched records had acreage differing by more than 25%

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Methods 67 respondents were re-interviewed by

enumerators in July 2008

Respondents reviewed questionnaires from both the 2007 Census and the 2007 JAS

Then asked to identify which was correct and why they were different

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Census 59.7%

Neither 11.9%

Both 13.4%

JAS 15.0%

Scoping Differences Which Source is

Correct?

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Scoping Differences Which Source is

Correct?TRUE Census

Misclassification

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Scoping Differences – Census is Correct

Number of Responses(n=39)

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Scoping Differences – JAS is Correct

Number of Responses(n=10)

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Scoping Differences – Both Sources Correct

Number of Responses

4

2

1

1

Different Operation

NASS O/S

Land Sold

Land Purchased

Re

aso

ns

for

Dis

crep

anc

ies

(n=9)

True Change – reported correctly

True Change – reported incorrectly

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Scoping Differences – Neither Source Correct

Number of Responses(n=9)

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Scoping Differences – Overall Summary by Category

Number of Responses

(n=67)

True Change - Incorrect

True Change – Correct

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Summary – Scoping Differences Very few of these cases are real changes between

JAS and the Census

Census was correct more often than June

Most discrepancies are actual errors June tracts screened out incorrectly Proxy respondents reporting incorrectly in JAS Specific types of land excluded (government program land,

woods, rented)

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Source Used to Report Acres

Source Used to Report Acres* Percent

(n=67)

No Records, I know my acreage 50.8%

Tax records 10.5%

FSA records 6.0%

Operation books 14.9%

Other records (ie., deed, GPS #s) 1.5%

* Multiple answers allowed

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What did we learn about Census misclassification? Classification error remains minimal

and is probably smaller than previous estimates

JAS cannot be used as “truth” Re-interview with resolution shows both

the Census and the JAS have errors JAS is not the GOLD STANDARD --

personal interviews not always best way to get accurate responses

Some errors due to respondents and won’t be eliminated

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Our external source had more errors than our target:

Recommendations to improve the JAS: Avoid proxy respondents in JAS Review of screening in JAS

Intensive re-screening of all non-ag tracts is in progress

Estimation of farms missing from JAS Capture/Re-capture

estimates in progress

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To examine errors, you need a good measure