By Ali Dogramaci, Nabil R. Adam
1 Ali Dogramaci and Nabil R. Adam 1.1. evaluation With the decline of U.S. productiveness progress, 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 economic climate. the aim of this quantity is to provide a quick assessment of a few of the innovations utilized in aggre gate and industry-level productiveness analyses and the result of the various fresh study during this box. The e-book is split into 3 components. half I covers a number of the methodo logical techniques utilized in combination and industry-level productiveness experiences. half II offers with the move of work productiveness measures via time. The papers during this a part of the publication learn productiveness adjustments as uni variate time sequence and examine many of the features of the styles displayed. The papers partly III handle the problems of size 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
In the context of 1-0 coefficient matrices, this explores the consequences of substituting optimized coefficients for their empirical counterparts. The value of a sectoral optimization model can best be appreciated by considering the amount of detailed information that can be obtained from the model. 4. The model can further serve as a basis for comparing the optimal sectoral performance with its current or future performance based on the current performance. Needless to say, an 1-0 model with sectoral optimization describes a course for the economy when some sectors operate in an optimal manner.
In his dynamic analysis of structural stability, Moon adds the investigation of possible reduction in sectoral capital requirements through the introduction of new technology. 13) with the addition of capital constraints describes the sectoral problem. 13) in two respects. First, the constants Olj' for specifying the upper limit on intermediate input consumption as a fraction of the old, are taken to be aliI's. Second, similar constants that could have been defined for capital constraints are considered to be all 1's; thus, the levels of capital consumption under old technology become the upper limits in the capital constraints.
Both production and cost function estimation can accommodate multi-output specifications, but direct cost estimation is advantageous in the sense that, unlike production estimation, it can be achieved by single equation estimation. , 1979; Nadiri and Shankerman, 1979). This resort to simultaneous equation models based on duality facilitates estimation by reducing the multiplicity of explanatory variables at the "expense" of assuming a priori cost-minimizing behavior. This necessity to resort to a potentially restrictive assumption concerning optimal cost behavior without prior empirical evidence is troublesome.
Aggregate and Industry-Level Productivity Analyses by Ali Dogramaci, Nabil R. Adam