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Trade Adjustment Costs in Developing Countries: - World Bank ...

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112Marc-Andreas Muendler4. EMPLOYMENT REALLOCATIONA conventional way to measure employment reallocation is the Katz and Murphy(1992) method. The method decomposes labor demand changes <strong>in</strong>to shiftsbetween <strong>in</strong>dustries, associated with variations <strong>in</strong> sector sizes, given sectoraloccupation profiles, and with<strong>in</strong> <strong>in</strong>dustries through chang<strong>in</strong>g occupational<strong>in</strong>tensities. The former shifts between <strong>in</strong>dustries relate to the chang<strong>in</strong>g allocationof employment across sectors, whereas the latter shifts with<strong>in</strong> <strong>in</strong>dustries reflectthe change <strong>in</strong> relative skill <strong>in</strong>tensities of occupations or alterations to the sectoralproduction process.4.1 Between and with<strong>in</strong> <strong>in</strong>dustry demand shiftsApply<strong>in</strong>g the Katz and Murphy (1992) method to employment <strong>in</strong> the Brazilianformal sector over the years 1986–2001 reveals the ma<strong>in</strong> patterns of labor marketadjustment. The decomposition <strong>in</strong>to between and with<strong>in</strong> sector variation <strong>in</strong>dicateshow two important sources of change contribute to workforce changeover.Between-<strong>in</strong>dustry shifts are arguably driven by changes <strong>in</strong> f<strong>in</strong>al goods demands,sectoral differences <strong>in</strong> factor-nonneutral technical change, and changes <strong>in</strong> thesector-level penetration with foreign imports. With<strong>in</strong>-<strong>in</strong>dustry shifts can berelated to factor-nonneutral technical change, factor price changes for substitutesor complements to labor, and <strong>in</strong>ternational trade <strong>in</strong> tasks which allocates activitiesalong the value cha<strong>in</strong> across countries.The Katz and Murphy (1992) decomposition relates back to Freeman’s (1980)manpower requirement <strong>in</strong>dex and is designed to measure the degree of between<strong>in</strong>dustrylabor demand change under fixed relative wages. The decompositiontends to understate the true between-<strong>in</strong>dustry demand shift <strong>in</strong> absolute termswhen relative wages change. Though possibly overstat<strong>in</strong>g the with<strong>in</strong>-<strong>in</strong>dustryeffects, the Brazilian evidence suggests that with<strong>in</strong>-<strong>in</strong>dustry demand changes arean important source of employment changeover <strong>in</strong> Brazil especially s<strong>in</strong>ce 1990.Beyond the Katz and Murphy (1992) framework, I therefore offer statistics thatdocument time variation <strong>in</strong> the occupational profile with<strong>in</strong> <strong>in</strong>dustries, and theskill changeover with<strong>in</strong> occupations.Under the assumption that the aggregate production function is concave (sothat the matrix of cross-wage elasticities of factor demands is negative semidef<strong>in</strong>ite),Katz and Murphy (1992) show that an appropriate between-<strong>in</strong>dustrydemand shift measure ΔD k for skill group k iswhere X jk is the employment of skill group k <strong>in</strong> <strong>in</strong>dustry j, w is a k×1 vector ofconstant wages, and dX j and X j are the k×1 vectors of employment changes andlevels <strong>in</strong> <strong>in</strong>dustry j, respectively. Equation (1) is simply the vector of weightedsums of <strong>in</strong>dustry employments for each skill group k, with the weights given bythe percentage changes <strong>in</strong> overall employment <strong>in</strong> every <strong>in</strong>dustry j. The measureis similar to standard labor-requirement <strong>in</strong>dexes Freeman (1980), only that(1)

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