The impact of technical change on the aggregate production function

This study endeavours to look at both disembodied technical progress and embodied technical progress in the capital stock and in the labour force in the United States over the period 1947–80. The results suggest that disembodied technical progress has been about 3% per year, embodied technical progress in the capital stock is approximately 3–4% per year and educational attainment significantly enhances labour productivity. Finally, when the issue of structural stability of the underlying production relationship is addressed, the period 1971–80 gives rise to some inconsistency.     

Telecommunications in the United States and Changing Productive Efficiency

The issue explored is whether incentive regulation in the telecommunications industry in the United States has resulted in an increase in productive efficiency. After providing an overview of the nature of incentive regulation, the methodology for measuring the effects of incentive regulation on productive efficiency is reviewed. An approach is introduced that not only provides a measure of the change in productivity but also allows for a decomposition into two mutually exclusive and exhaustive components—changes in technical efficiency over time and shifts in technology over time. Using annual data on four output measures and six input measures for the period 1988–1999 for nineteen individual local exchange carriers, the results indicate that productivity increased by about 4.9% per year. This growth is due primarily to innovation rather than improvements in efficiency. Of the 19 LECs in the sample, 12 were operating efficiently throughout the entire 1988–1999 period. Of the remaining seven, three showed a slight improvement in efficiency while the efficiency of four declined. In the aggregate, however, there was virtually no change in efficiency.     

A Note on Measuring the Productivity Offset for Regulatory Purposes

Calculation of the productivity offset or the X-factor used in setting price caps has a fundamental flaw when it is based on conventional growth accounting total factor productivity analysis. The problem is discussed in the context of incentive regulation used by the Federal Communications Commission in the United States and the appropriate correction is indicated. An example of the problem and its correction, using the access charge for interstate service in telecommunications, is provided. The correction shows that the appropriate X-factor is 12 percent greater than that based on conventional growth accounting total factor productivity analysis.     

Redistributing the energy tax burden in the Philippines

This paper uses an aggregate modelling approach to assess the impacts of a redistribution of the taxes and duties that currently exist on crude oil and refined petroleum products on the Philippine economy. The approach used in the analysis consists of a general equilibrium model composed of fourteen producing sectors, fifteen consuming sectors, three household categories classified by income and a government. The effects of replacing the taxes and duties on crude oil and refined petroleum products with a more broad based tax on manufacturing and service sectors output on prices and quantities are examined. The results are revealing. For example, the consequences of redistributing the tax burden away from petroleum products to the manufacturing and service sectors of the Philippine economy will be an increase in output by all producing sectors of about 3.5 percent or about 2.4 hundred billion Philippine pesos, a rise in the consumption of goods and services by about 6.1 percent or 1.6 hundred billion Philippine pesos, a rise in total utility by 6.9 or 1.9 hundred billion Philippine pesos, and virtually no change in tax revenue for the government. When subjected to a sensitivity analysis, the results are reasonably robust with regard to the assumption of the values of the substitution elasticities. That is, while the model's equilibrium values do vary in response to different assumptions of the values of these elasticities, the fluctuations are not so enormous to suggest that the model is unrealistically sensitive to these parameters.Notation Y _j Total production in sectorj (j=1, 2, ..., 14) - CD _j Consumer demand for productj - GE _j Government endowment of productj - UM _j Imports of productj - _LRAS_jl RAS balanced input-output intermediate demands - GD _j Government demand for productj - INV _j Investment in sectorj - UX _j Exports of productj - SL _c Supply of labor by householdc (c=1, 2, 3) - SK _c Supply of capital by householdc - SD _c Supply of land by householdc - DL _j Demand for labor in the industryj - DK _j Demand for capital in the industryj - DD _j Demand for land in industryj - GDL Government demand for labor - GDD Government demand for land - TL _j Tax on labor in industryj - TK _j Tax on capital in industryj - TD _j Tax on land in industryj - GCE _i Consumer demand for consumer producti (i=1, 2, ..., 15) - Z _ji A 14×15 transformation matrix - RCS _ic RAS balanced matrix of each household's demand for each consumer good - TC _j Excise tax on consumer goodj - TRN _c Transfer payment to householdc - PIT _c Personal income tax payment for householdc - TAU _c Marginal income tax rate for householdc - SAV _c Savings in householdc - GC _c Gross consumption of householdc - ZTA Consumption plus leisure coefficient - TE Total government endowments - EM _j Demand elasticity of export demand - FE _j Endowment/demand sector of adjusted elasticity of export demand - GSK _j Government endowment of capital in industryj - GDK _j Government demand for capital in industryj - GTL Government wage taxes on its own employees - TXO _j Government output tax on industryj - TC _c Consumption taxes on householdc - CG _c Total government consumption by householdc - SAV _c Total savings by householdc - INV _j Total investment by industryj The views expressed are those of the authors and do not necessarily represent the policies of the organizations with which they are affiliated. They would like to thank Wildrido Cruz of the World Bank and Climenta Habido of the Philippine government for help in acquiring the requisite data to calibrate the model used in the analysis. They would also like to thank an anonymous referee for helpful suggestions.     

The ethical foundations of constitutional order: A conventionalist perspective

This paper presents a conventionalist or modified contractarian perspective on constitutional and legal theory as a platform from which to address five important questions about the connections between critical morality and constitutional order. It finds that natural law and critical morality are inappropriately linked to constitutions and laws, but that there is nonetheless a clear moral dimension to all law. Furthermore even though law is explained as a function of human agreements, the very process of agreement commits law to an inherent set of standards which distunguish laws based on agreement from those which rest on coercion. These standards are more familiarly known as the principles of the rule of law.     

The Effect of Eliminating Direct Payments to Farmers on Land Values

This study looks at the effects of the complete elimination of direct government payments to farmers on the U.S. economy in general and the effect on land values in particular. The analytical approach used consists of a computable general equilibrium model composed of 14 producing sectors, 14 consuming sectors, six household categories classified by income, and a government. The results suggest that, with a complete elimination of direct government payments to farmers, there will be a reduction in output by all producing sectors of 0.18% or about $14.5 billion, a decline in output in the agricultural sectors of 4.39% or about $12.0 billion, a fall in the consumption of goods and services by about 0.11% or $4.15 billion, a fall in total utility by 0.47% or $22.0 billion, and a net reduction in expenditures for the government of $13.4 billion. Land values will be adversely affected, falling an average of 14%.