000			03280cam a22003137 4500
001			w2014
003			NBER
005			20211020115104.0
006			m o d
007			cr cnu||||||||
008			210910s1986 mau fo 000 0 eng d
100	1		_aDickens, William T. _99320
245	1	0	_aInterindustry Wage Differences and Industry Characteristics / _cWilliam T. Dickens, Lawrence F. Katz.
260			_aCambridge, Mass. _bNational Bureau of Economic Research _c1986.
300			_a1 online resource: _billustrations (black and white);
490	1		_aNBER working paper series _vno. w2014
500			_aSeptember 1986.
520	3		_aThis paper examines the extent of interindustry wage differences for nonunion workers and finds that even after controlling for a wide range of individual characteristics and geographic location a substantial amount of individual wage variation can be accounted for by industry differences. In the aggregate industry effects explain at least 6.7% of inter-personal wage variation. At most they explain 30%. While the importance of industry differences is clear, the reasons for the differences are more difficult to establish. Independent of the problems of interpreting the correlates of industry differences, even the sign of the relation of many variables with wages is difficult to establish when other variables are included as controls. This conclusion is suggested by a literature review and confirmed by an analysis of a large number of alternative specifications of an industry wage equation using individual wage data from the CPS and industry characteristics from a number of recent sources. Only industry average education and industry profitability have the same (positive) sign in every specification and in all the studies reviewed. Of these two only average education was nearly always significantly related to wages. Average establishment size had a nearly consistent positive relation. What does emerge from the analysis is a pattern of correlations. There appears to be one major dimension (and perhaps other less important dimensions) along which industries differ. A principal components analysis of an industry characteristics data set is used to demonstrate this. High wage industries have lower quit rates, higher labor productivity, fewer women, more educated workers, longer work weeks, a higher ratio of nonwage to wage compensation, higher unionization rates, larger establishments and firms, higher concentration ratios and are more profitable. An analysis of a limited number of industry characteristics in 1939 yields a similar pattern. The implications of these results for alternative theories of wage determination are considered.
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
700	1		_aKatz, Lawrence F. _914041
710	2		_aNational Bureau of Economic Research.
830		0	_aWorking Paper Series (National Bureau of Economic Research) _vno. w2014.
856	4	0	_uhttps://www.nber.org/papers/w2014
856			_yAcceso en línea al DOI _uhttp://dx.doi.org/10.3386/w2014
942			_2ddc _cW-PAPER
999			_c346533 _d305095