000			03112cam a22003617 4500
001			w25737
003			NBER
005			20211020104208.0
006			m o d
007			cr cnu||||||||
008			210910s2019 mau fo 000 0 eng d
100	1		_aMeyer, Bruce D. _916700
245	1	3	_aAn Empirical Total Survey Error Decomposition Using Data Combination / _cBruce D. Meyer, Nikolas Mittag.
260			_aCambridge, Mass. _bNational Bureau of Economic Research _c2019.
300			_a1 online resource: _billustrations (black and white);
490	1		_aNBER working paper series _vno. w25737
500			_aApril 2019.
520	3		_aSurvey error is known to be pervasive and to bias even simple, but important estimates of means, rates, and totals, such as the poverty and the unemployment rate. To summarize and analyze the extent, sources, and consequences of survey error, we define empirical counterparts of key components of the Total Survey Error Framework that can be estimated using data combination. Specifically, we estimate total survey error and decompose it into three high level sources of error: generalized coverage error, item non-response error and measurement error. We further decompose these sources into lower level sources such as a failure to report a positive amount and errors in amounts conditional on reporting a positive value. For error in dollars paid by two large government transfer programs, we use administrative records on the universe of program payments in New York State linked to three major household surveys to estimate the error components we define. We find that total survey error is large and varies in its size and composition, but measurement error is always by far the largest source of error. Our application shows that data combination makes it possible to routinely measure total survey error and its components. The results allow survey producers to assess error reduction strategies and survey users to mitigate the consequences of survey errors or gauge the reliability of their conclusions.
530			_aHardcopy version available to institutional subscribers
538			_aSystem requirements: Adobe [Acrobat] Reader required for PDF files.
538			_aMode of access: World Wide Web.
588	0		_aPrint version record
690		7	_aC81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data • Data Access _2Journal of Economic Literature class.
690		7	_aD31 - Personal Income, Wealth, and Their Distributions _2Journal of Economic Literature class.
690		7	_aI32 - Measurement and Analysis of Poverty _2Journal of Economic Literature class.
690		7	_aI38 - Government Policy • Provision and Effects of Welfare Programs _2Journal of Economic Literature class.
700	1		_aMittag, Nikolas.
710	2		_aNational Bureau of Economic Research.
830		0	_aWorking Paper Series (National Bureau of Economic Research) _vno. w25737.
856	4	0	_uhttps://www.nber.org/papers/w25737
856			_yAcceso en línea al DOI _uhttp://dx.doi.org/10.3386/w25737
942			_2ddc _cW-PAPER
999			_c322385 _d280947