Redalyc.Aggregate Production Functions, Neoclassical Growth
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An Approach to Reconciling Competing Ethical Principles in Aggregating Heterogeneous Health Preferences
ORIGINAL ARTICLE An Approach to Reconciling Competing Ethical Principles in Aggregating Heterogeneous Health Preferences Barry Dewitt, MSc, Alexander Davis, PhD, Baruch Fischhoff, PhD, Janel Hanmer, MD, PhD Background. Health-related quality of life (HRQL) scores that rely on HRQL scores, such as cost-effectiveness analy- are used extensively to quantify the effectiveness of medical ses. We propose an analytical-deliberative framework for interventions. Societal preference-based HRQL scores aim to choosing one (or a set of) aggregation procedure(s) in a produce societal valuations of health by aggregating valua- socially credible way, which we believe to be analytically tions from individuals in the general population, where sound and empirically tractable, but leave open the institu- each aggregation procedure embodies different ethical prin- tional mechanism needed to implement it. Conclusions. ciples, as explained in social choice theory. Methods. Using Socially acceptable decisions about aggregating heteroge- the Health Utilities Index as an exemplar, we evaluate soci- neous preferences require eliciting stakeholders’ preferences etal preference-based HRQL measures in the social choice among the set of analytically sound procedures, represent- theory framework. Results. We find that current preference ing different ethical principles. We describe a framework for aggregation procedures are typically justified in terms of eliciting such preferences for the creation of HRQL scores, social choice theory. However, by convention, they use only informed by social choice theory and behavioral decision one of many possible aggregation procedures (the mean). research. Key words: health state preferences; health- Central to the choice of aggregation procedure is how to related quality of life; health utility; equity; cost-effectiveness treat preference heterogeneity, which can affect analyses analysis. -
MA Macroeconomics 10. Growth Accounting
MA Macroeconomics 10. Growth Accounting Karl Whelan School of Economics, UCD Autumn 2014 Karl Whelan (UCD) Growth Accounting Autumn 2014 1 / 20 Growth Accounting The final part of this course will focus on \growth theory." This branch of macroeconomics concerns itself with what happens over long periods of time. We will discuss the factors that determine the growth rate of the economy over the long run and what can policy measures do to affect it. This is closely related to the crucial question of what makes some countries rich and others poor. We will begin by covering \growth accounting" { a technique for explaining the factors that determine growth. Karl Whelan (UCD) Growth Accounting Autumn 2014 2 / 20 Production Functions We assume output is determined by an aggregate production function technology depending on the total amount of labour and capital. For example, consider the Cobb-Douglas production function: α β Yt = At Kt Lt where Kt is capital input and Lt is labour input. An increase in At results in higher output without having to raise inputs. Macroeconomists usually call increases in At \technological progress" and often refer to this as the \technology" term. At is simply a measure of productive efficiency and it may go up or down for all sorts of reasons, e.g. with the imposition or elimination of government regulations. Because an increase in At increases the productiveness of the other factors, it is also sometimes known as Total Factor Productivity (TFP). Karl Whelan (UCD) Growth Accounting Autumn 2014 3 / 20 Productivity Growth Output per worker is often labelled productivity by economists with increases in output per worker called productivity growth. -
Measuring the “Ideas” Production Function
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ECON3102-005 Chapter 4: Firm Behavior
ECON3102-005 Chapter 4: Firm Behavior Neha Bairoliya Spring 2014 • The representative firm demands labor and supplies consumption goods. Review and Introduction • The representative consumer supplies labor and demands consumption goods. Review and Introduction • The representative consumer supplies labor and demands consumption goods. • The representative firm demands labor and supplies consumption goods. • Production Function Y = zF (K; Nd ) • Because this is a one-period model, we treat K as a fixed input. In the SR, firms cannot vary their capital input. • z is called the total factor productivity, as an increase in z makes both K and Nd more productive. • Y is output of consumption goods. The Representative Firm • Assume a representative firm which owns capital (plant and equipment), hires labor to produce consumption goods. • Because this is a one-period model, we treat K as a fixed input. In the SR, firms cannot vary their capital input. • z is called the total factor productivity, as an increase in z makes both K and Nd more productive. • Y is output of consumption goods. The Representative Firm • Assume a representative firm which owns capital (plant and equipment), hires labor to produce consumption goods. • Production Function Y = zF (K; Nd ) • z is called the total factor productivity, as an increase in z makes both K and Nd more productive. • Y is output of consumption goods. The Representative Firm • Assume a representative firm which owns capital (plant and equipment), hires labor to produce consumption goods. • Production Function Y = zF (K; Nd ) • Because this is a one-period model, we treat K as a fixed input. -
Input Demands
Economics 326: Input Demands Ethan Kaplan October 24, 2012 Outline 1. Terms 2. Input Demands 1 Terms Labor Productivity: Output per unit of labor. Y (K; L) L What is the labor productivity of the US? Output is rouhgly US$14.7 trillion. The labor force is roughly 153 million people. Therefore, the aggregate labor productivity for the US is: $96; 000 How is this di¤erent from GDP per capita. The main di¤erence is that we are measuring output per work- ing person not output per person living in the US. Marginal Product: The additional output from an addition unit of input: @F = Marginal Product of Labor @L @F = Marginal Product of Capital @K @F = Marginal Product of Land @T Declining Marginal Productivity: We usually assume that the marginal product of an input declines with input usage. Think about farm production. We have land, labor and capital. If we start with 2 people and 40 acres of land and zero capital and we then buy a tractor, output will increase a lot. If we then buy a second tractor, output might increase less than with one tractor because the second trator will probably not be used as often as the …rst. If we then buy a third tractor, the increase in output will be very low. (Show graph). 2 Input Demands The producer solves the pro…t maximization problem choosing the amount of capital and labor to employ. In doing so, the producer derives input demands. These are the analogues of Marshallian Demand in consumer theory. They are a function of prices of inputs and the price of output. -
1 Lecture Notes - Production Functions - 1/5/2017 D.A
1 Lecture Notes - Production Functions - 1/5/2017 D.A. 2 Introduction Production functions are one of the most basic components of economics • They are important in themselves, e.g. • — What is the level of returns to scale? — How do input coeffi cients on capital and labor change over time? — How does adoption of a new technology affect production? — How much heterogeneity is there in measured productivity across firms, and what ex- plains it? — How does the allocation of firm inputs relate to productivity Also can be important as inputs into other interesting questions, e.g. dynamic models of • industry evolution, evaluation of firm conduct (e.g. collusion) For this lecture note, we will work with a simple two input Cobb-Douglas production function • 0 1 2 "i Yi = e Ki Li e where i indexes firms, Ki is units of capital, Li is units of labor, and Yi is units of output. ( 0, 1, 2) are parameters and "i captures unobservables that affects output (e.g. weather, soil quality, management quality) Take natural logs to get: • yi = 0 + 1ki + 2li + "i This can be extended to • — Additional inputs, e.g. R&D (knowledge capital), dummies representing discrete tech- nologies, different types of labor/capital, intermediate inputs. — Later we will see more flexible models yi = f (ki, li; ) + "i yi = f (ki, li,"i; ) (with scalar/monotonic "i) yi = 0 + 1iki + 2ili + "i 3 Endogeneity Issues Problem is that inputs ki, li are typically choice variables of the firm. Typically, these choices • are made to maximize profits, and hence will often depend on unobservables "i. -
The Historical Role of the Production Function in Economics and Business
American Journal of Business Education – April 2011 Volume 4, Number 4 The Historical Role Of The Production Function In Economics And Business David Gordon, University of Saint Francis, USA Richard Vaughan. University of Saint Francis, USA ABSTRACT The production function explains a basic technological relationship between scarce resources, or inputs, and output. This paper offers a brief overview of the historical significance and operational role of the production function in business and economics. The origin and development of this function over time is initially explored. Several various production functions that have played an important historical role in economics are explained. These consist of some well known functions, such as the Cobb-Douglas, Constant Elasticity of Substitution (CES), and Generalized and Leontief production functions. This paper also covers some relatively newer production functions, such as the Arrow, Chenery, Minhas, and Solow (ACMS) functions, the transcendental logarithmic (translog), and other flexible forms of the production function. Several important characteristics of the production function are also explained in this paper. These would include, but are not limited to, items such as the returns to scale of the function, the separability of the function, the homogeneity of the function, the homotheticity of the function, the output elasticity of factors (inputs), and the degree of input substitutability that each function exhibits. Also explored are some of the duality issues that potentially exist between certain production and cost functions. The information contained in this paper could act as a pedagogical aide in any microeconomics-based course or in a production management class. It could also play a role in certain marketing courses, especially at the graduate level. -
Aggregate Production Functions Are NOT Neoclassical
Aggregate Production Functions are NOT Neoclassical Stefano Zambelli∗ May 15, 2014 Submitted for presentation at the 55th Trento Conference of the Societa' Italiana degli Economisti. Not to be quoted or reproduced without permission. Abstract The issue of whether production functions are consistent with the neoclassical postulates has been the topic of intensive debates. One of the issues is whether the production of an aggregate economic system can be represented as if it was a simple neoclassical well-behaved production function with inputs the aggregate capital K, homogeneous with output Y , and aggregate labor, L. Standard postulates are those of the marginal productivities - and the associated demand of labor and capital - are negatively related with the factor prices, namely the wage rate and the profit rate. The cases where the neoclassical properties do not hold are often regarded as anomalies. In this paper we use real input-output data and we search for these anomalies. We compute the aggregate values for capital, production and labour. We find that for the dataset considered the neoclassical postulates do not hold. We consider this to be a very robust result. The implication is that standard models relying on the neoclassical aggregate Cobb-Douglas-like production functions do not hold. Keywords: Aggregate Neoclassical Production Function, Cobb-Douglas, CES, Technological Change, Macroeconomics, Growth. JEL classifications: C61, C63, C67, O47 D r a f t ∗Department of Economics and Management, Algorithmic Social Sciences Research Unit (ASSRU - www.assru.economia.unitn.it), University of Trento; via Inama, 5, 38100 Trento, Italy; E-mail: ste- [email protected] 1 1 Introduction It is a widespread practice among most (macro) economists to use the \neoclassical" aggre- gate production function while constructing (macro)economic models. -
Microeconomics (Production, Ch 6)
Microeconomics (Production, Ch 6) Microeconomics (Production, Ch 6) Lectures 09-10 Feb 06/09 2017 Microeconomics (Production, Ch 6) Production The theory of the firm describes how a firm makes cost- minimizing production decisions and how the firm’s resulting cost varies with its output. The Production Decisions of a Firm The production decisions of firms are analogous to the purchasing decisions of consumers, and can likewise be understood in three steps: 1. Production Technology 2. Cost Constraints 3. Input Choices Microeconomics (Production, Ch 6) 6.1 THE TECHNOLOGY OF PRODUCTION ● factors of production Inputs into the production process (e.g., labor, capital, and materials). The Production Function qFKL= (,) (6.1) ● production function Function showing the highest output that a firm can produce for every specified combination of inputs. Remember the following: Inputs and outputs are flows. Equation (6.1) applies to a given technology. Production functions describe what is technically feasible when the firm operates efficiently. Microeconomics (Production, Ch 6) 6.1 THE TECHNOLOGY OF PRODUCTION The Short Run versus the Long Run ● short run Period of time in which quantities of one or more production factors cannot be changed. ● fixed input Production factor that cannot be varied. ● long run Amount of time needed to make all production inputs variable. Microeconomics (Production, Ch 6) 6.2 PRODUCTION WITH ONE VARIABLE INPUT (LABOR) TABLE 6.1 Production with One Variable Input Amount Amount Total Average Marginal of Labor (L) of Capital (K) Output (q) Product (q/L) Product (∆q/∆L) 0 10 0 — — 1 10 10 10 10 2 10 30 15 20 3 10 60 20 30 4 10 80 20 20 5 10 95 19 15 6 10 108 18 13 7 10 112 16 4 8 10 112 14 0 9 10 108 12 -4 10 10 100 10 -8 Microeconomics (Production, Ch 6) 6.2 PRODUCTION WITH ONE VARIABLE INPUT (LABOR) Average and Marginal Products ● average product Output per unit of a particular input. -
Aggregation Problem in Demand Analysis, 1930S-1950S
Aggregation Problem in Demand Analysis, 1930s-1950s Hugo Chu∗ Abstract This article examines the emergence of the representative agent as the outcome of trans- formations that occurred in microeconomics in the 1930s-1950s years, especially in the subfield of demand theory. To tell this story, I begin with a particular historical inter- pretation of this subfield, propounded by Wade Hands and Philip Mirowski in the 1990s, known as the Hotelling-Schultz Impasse. Although this impasse was abandoned by the end of the 1930s, the testing of the Symmetry Restrictions and the validity of the Integra- bility Conditions continued to draw the attention of different research centers. The Cowles Commission, represented by its research director, Tjalling Koopmans, played an impor- tant role during this stage and, more to the point, in the subsequent emergence of the representative agent in microeconomics through their approach to aggregation problem. The significance of Paul Samuelson's introduction of homothetic preferences into General Equilibrium Theory and its connection to Koopmans's writings during the 1950s is also emphasized. Keywords: Representative Agent, Aggregation Problem, Tjalling Koopmans Resumo O presente artigo examina a emerg^enciado agente representativo como resultado da trans- forma¸c~aoque ocorreu na economia nos anos de 1930 a 1950, especialmente no subcampo da teoria da demanda. Para contar essa hist´oria,eu come¸cocom uma interpreta¸c~aohist´orica particular proposta por Wade Hands e Philip Mirowski nos anos de 1990 conhecido como o Impasse de Hotelling-Schultz. Embora esse impasse tenha sido abandonado ao final da d´ecadade 1930, o teste da Restri¸c~aode Simetria e a validade das Condi¸c~oesde Integrabil- idade continuou a chamar aten¸c~aode diferentes centros de pesquisas. -
Empirical Approaches to the Problem of Aggregation Over Individuals
HD28 .M414 ^3 WORKING PAPER ALFRED P. SLOAN SCHOOL OF MANAGEMENT EMPIRICAL APPROACHES TO THE PROBLEM OF AGGREGATION OVER INDIVIDUALS by Thomas M. Stoker Massachusetts Institute of Technology WP#3549-93-EFA March 1993 MASSACHUSETTS INSTITUTE OF TECHNOLOGY 50 MEMORIAL DRIVE CAMBRIDGE, MASSACHUSETTS 02139 EMPIRICAL APPROACHES TO THE PROBLEM OF AGGREGATION OVER INDIVIDUALS by Thomas M. Stoker Massachusetts Institute of Technology WP#3549-93-EFA March 1993 (I5»r3i35'iS»i** <' EMPIRICAL APPROACHES TO THE PROBLEM OF AGGREGATION OVER INDIVIDUALS By Thomas M. Stoker June 1992, Revised March 1993 Forthcoming in Journal of Economic Literature * Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02139. This work was funded by National Science Foundation Grant SES 9122886. I have received numerous valuable comments from many individuals, comprising a list that is too long to acknowledge here. However, special thanks go to John Heaton and Dale Jorgenson, who provided comments that materially improved this work through each version. I also wanted to acknowledge a fantastic job by John Pencavel and every one of the reviewers , whose comments also materially improved this article. EMPIRICAL APPROACHES TO THE PROBLEM OF AGGREGATION OVER INDIVIDUALS I . Introduction One of the most challenging features of tracking economic activity over time is assessing the impact of the changing composition of the economic players. In the United States, the decline in the typical size of households, the baby boom - baby bust cycles, the changing age structure of the population and the migration of households to southern climates provide examples of such changes. The shift of production from manufacturing and agriculture to service industries, and the continuing infusion of high technology throughout many areas provide examples of how the nature of production has varied. -
An Analytical Construction of Constantinides' Social Utility Function
AN ANALYTICAL CONSTRUCTION OF CONSTANTINIDES’ SOCIAL UTILITY FUNCTION* Lilia Maliar and Serguei Maliar** WP-AD 2005-25 Corresponding author: L. Maliar. Departamento de Fundamentos del Análisis Económico, Universidad de Alicante, Campus San Vicente del Raspeig, Ap. Correos 99, 03080 Alicante, Spain. E-mail: [email protected]. Editor: Instituto Valenciano de Investigaciones Económicas, S.A. Primera Edición Septiembre 2005 Depósito Legal: V-3792-2005 IVIE working papers offer in advance the results of economic research under way in order to encourage a discussion process before sending them to scientific journals for their final publication. * This paper is a revised version of Chapter 1 of Serguei Maliar's Ph.D. thesis. We are grateful to Peter Hammond, Carmen Herrero, Iñigo Iturbe, Andreu Mas-Colell, Morten Ravn, William Schworm and Antonio Villar for helpful comments. This research was partially supported by the Instituto Valenciano de Investigaciones Económicas, the Ministerio de Educación, Cultura y Deporte, SEJ2004-08011ECON and the Ramón y Cajal program. ** Universidad de Alicante. AN ANALYTICAL CONSTRUCTION OF CONSTANTINIDES’ SOCIAL UTILITY FUNCTION Lilia Maliar and Serguei Maliar ABSTRACT This paper studies the properties of the social utility function defined by the planner's problem of Constantinides (1982). We show one set of restrictions on the optimal planner's policy rule, which is sufficient for constructing the social utility function analytically. For such well-known classes of utility functions as the HARA and the CES, our construction is equivalent to Gorman's (1953) aggregation. However, we can also construct the social utility function analytically in some cases when Gorman's (1953) representative consumer does not exist; in such cases, the social utility function depends on "heterogeneity" parameters.