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Aggregate and Industry-Level Productivity Analyses by Ali Dogramaci, Nabil R. Adam

By Ali Dogramaci, Nabil R. Adam

1 Ali Dogramaci and Nabil R. Adam 1.1. review With the decline of U.S. productiveness development, curiosity has surged to less than­ stand the habit of productiveness measures via time, the conceptual foundations of productiveness research, and the linkage among productiveness functionality and different significant forces within the financial system. the aim of this quantity is to provide a short review of a few of the recommendations utilized in aggre­ gate and industry-level productiveness analyses and the result of a number of the contemporary study during this box. The booklet is split into 3 elements. half I covers a number of the methodo­ logical ways utilized in mixture and industry-level productiveness stories. half II offers with the circulation of work productiveness measures via time. The papers during this a part of the ebook learn productiveness adjustments as uni­ variate time sequence and examine many of the features of the styles displayed. The papers partially III deal with the problems of dimension of capi­ tal, the relation of capital formation to productiveness development, and the rela­ tion of imported intermediate inputs to U.S. productiveness performance.

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Extra resources for Aggregate and Industry-Level Productivity Analyses

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It is a supply model, with labor the only primary factor, which determines sectoral output levels for a given set of sectoral final demands. In the Leontief conception, production of each sector should be sufficient to meet both intermediate uses within the economy and final demands, considered exogenous, such as household consumption, government use, foreign trade, and so forth. Input requirements in each sector are assumed linearly related to the sectoral gross output level, and the pertinent proportionality defines a set of constants referred to as input coefficients, or technical flow coefficients.

Fabricant, Solomon, 1942, Employment in Manufacturing, 1899-1939, New York: National Bureau for Economic Research. Fishelson, Gideon, 1977, "Telecommunications: CES Production Function," Applied Economics 9, no. 1:9-18. Fisher, Irving, 1922, The Making of Index Numbers, Boston: Houghton Mifflin. , 1978, Production Economics: A Dual Approach to Theory and Applications, vol. 2, Amsterdam: North-Holland Publishing. Hasenkamp, Georg, 1976, Specification and Estimation of Multiple Output Production Functions, Berlin: Springer-Verlag.

DOUGLAS MOON where Ln and L t are vectors of labor coefficients with new and old techniques, Bn and B t are vectors of capital coefficients associated with new and old techniques, k is the specified total amount of new investment available over the period, and Ot is the initial capacity for time t. Both Q( and {:J are constants. Leontief (1970), in his later model of the dynamic 1-0 system, incorporates technological change into the system by attaching time subscripts to both flow and capital coefficients.

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