000			02828cam a22003737 4500
001			w24324
003			NBER
005			20211020104634.0
006			m o d
007			cr cnu||||||||
008			210910s2018 mau fo 000 0 eng d
100	1		_aAbramitzky, Ran. _933381
245	1	0	_aLinking Individuals Across Historical Sources: _ba Fully Automated Approach / _cRan Abramitzky, Roy Mill, Santiago Pérez.
260			_aCambridge, Mass. _bNational Bureau of Economic Research _c2018.
300			_a1 online resource: _billustrations (black and white);
490	1		_aNBER working paper series _vno. w24324
500			_aFebruary 2018.
520	3		_aLinking individuals across historical datasets relies on information such as name and age that is both non-unique and prone to enumeration and transcription errors. These errors make it impossible to find the correct match with certainty. In the first part of the paper, we suggest a fully automated probabilistic method for linking historical datasets that enables researchers to create samples at the frontier of minimizing type I (false positives) and type II (false negatives) errors. The first step guides researchers in the choice of which variables to use for linking. The second step uses the Expectation-Maximization (EM) algorithm, a standard tool in statistics, to compute the probability that each two records correspond to the same individual. The third step suggests how to use these estimated probabilities to choose which records to use in the analysis. In the second part of the paper, we apply the method to link historical population censuses in the US and Norway, and use these samples to estimate measures of intergenerational occupational mobility. The estimates using our method are remarkably similar to the ones using IPUMS', which relies on hand linking to create a training sample. We created an R code and a Stata command that implement this method.
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	_aC10 - General _2Journal of Economic Literature class.
690		7	_aJ01 - Labor Economics: General _2Journal of Economic Literature class.
690		7	_aJ10 - General _2Journal of Economic Literature class.
690		7	_aN00 - General _2Journal of Economic Literature class.
700	1		_aMill, Roy.
700	1		_aPérez, Santiago.
710	2		_aNational Bureau of Economic Research.
830		0	_aWorking Paper Series (National Bureau of Economic Research) _vno. w24324.
856	4	0	_uhttps://www.nber.org/papers/w24324
856			_yAcceso en línea al DOI _uhttp://dx.doi.org/10.3386/w24324
942			_2ddc _cW-PAPER
999			_c323798 _d282360