Popular

- Tennysoniana [microform]

84347 - The moon and its exploration

6280 - Tame groups of finite Morley rank

9213 - James Stephens, a critical study /[by] Augustine Martin.

31768 - Rescue

11449 - Supreme Court on words and phrases

93262 - Samba dreamers

73953 - Looking at the countryside.

92258 - The Soldiers great want

69938 - Trade unions in Bristol

71330 - Peakes Alice

80256 - Desert Survival Handbook

95388 - Kulila

35827 - Social work records

97621 - The brain watchers.

42688 - Mrs. Ewing.

3459 - Ecology of Foraminifera from San Antonio Bay and environs, Southwest Texas

63860 - Studies in seventeenth-century poetic.

94405 - The Athletic female

72317 - Ageless body, timeless mind

87196

Published
**1999** by National Bureau of Economic Research in Cambridge, MA .

Written in English

Read online- Industrial productivity -- Econometric models.,
- Factors of production -- Econometric models.,
- Technological innovations -- Economic aspects -- Econometric models.,
- Research, Industrial -- Econometric models.,
- Capital investments -- Econometric models.

**Edition Notes**

Statement | M. Ishaq Nadiri, Ingmar R. Prucha. |

Series | NBER working paper series -- working paper 7079, Working paper series (National Bureau of Economic Research) -- working paper no. 7079. |

Contributions | Prucha, Ingmar R., National Bureau of Economic Research. |

Classifications | |
---|---|

LC Classifications | HB1 .W654 no. 7079 |

The Physical Object | |

Pagination | 109 p. ; |

Number of Pages | 109 |

ID Numbers | |

Open Library | OL22400502M |

**Download Dynamic factor demand models and productivity analysis**

Dynamic Factor Demand Models and Productivity Analysis M. Ishaq Nadiri, Ingmar Prucha. Chapter in NBER book New Developments in Productivity Analysis (), Charles R.

Hulten, Edwin R. Dean and Michael J. Harper, editors (p. - ) Published in January by University of Chicago Press. Dynamic Factor Demand Models, Productivity Measurement, and Rates of Return: Theory and an Empirical Application to the U.S. Bell System by Ishaq Nadiri (Author)Author: Ishaq Nadiri.

NBER Program(s):Productivity, Innovation, and Entrepreneurship. In this paper we discuss recent advances in modeling and estimating dynamic factor demand models, and review the use of such models in analyzing the production structure, the determinants of variable and quasi-fixed factors, and productivity by: Abstract.

In this paper we discuss recent advances in modeling and estimating dynamic factor demand models, and review the use of such models in analyzing the production structure, the determinants of variable and quasi-fixed factors, and productivity growth.

The paper also discusses the traditional approach to productivity analysis based on. Abstract: In this paper we discuss recent advances in modeling and estimating dynamic factor demand models, and review the use of such models in analyzing the production structure, the determinants of variable and quasi-fixed factors, and productivity growth.

The paper also discusses the traditional approach to productivity analysis based on the Divisia index number by: M I Nadiri and I R Prucha (). Dynamic Factor Demand Models, Productivity Analysis. New Directions in Productivity Analysis Abstract. This chapter outlines the background of the problem, along with presenting the relevant theories and existing researches related to the analysis of the productivity growth.

The development of factor demand models is explained in detail based on the framework of the theory of firm’s optimal input decisions in a non-static : Nabaz T. Khayyat. Abstract. In this paper we discuss recent advances in modeling and estimating dynamic factor demand models, and review the use of such models in analyzing the production structure, the determinants of variable and quasi-fixed factors, and productivity : M.

Ishaq Nadiri and Ingmar R. Prucha. In estimating the finite horizon model we followed the approach developed in Prucha and Nadiri (,).

DYNAMIC FACTOR DEMAND MODELS problem is standard; cf., for example, Hansen and Sargent (,), Kollintzas (,), and Madan and Prucha ().Cited by: Dynamic Factor Demand Models and Productivity Analysis M. Ishaq Nadiri and Ingmar R. Prucha Introduction The traditional approach to productivity analysis is to use the Divisia index number methodology.

This approach has the advantage of simplicity as well as the beneﬁt of not requiring direct estimation of the underlying technology. The productivity slowdown of the s and s and the resumption of productivity growth in the s have provoked controversy among policymakers and researchers.

Economists have been forced to reexamine fundamental questions of measurement technique. Dynamic factor demand in a rationing model 6 The complete derivations are contained in Smolny (). 7 Note that Equation (18) is a structural form between endogenous : Werner Smolny. Ishaq Nadiri & Ingmar R.

Prucha, "Dynamic Factor Demand Models and Productivity Analysis," NBER Working PapersNational Bureau of Economic Research, Inc. Ishaq Nadiri & Ingmar R. Prucha, "Dynamic Factor Demand Models and Productivity Analysis," Electronic Working PapersUniversity of Maryland, Department of.

Get this from a library. Dynamic factor demand models and productivity analysis. [M Ishaq Nadiri; Ingmar R Prucha; National Bureau of Economic Research.]. Request PDF | The Factor Demand Model and the Theory of Productivity | This chapter outlines the background of the problem, along with presenting the relevant theories and existing researches.

Since the work of Cobb and Douglas [18], two main innovations have been introduced in applied factor demand analysis, i.e. the use of flexible functional forms and the modelling of dynamics Author: Claudio Morana.

A dynamic factor demand model is applied which allows for considerable flexibility in the choice of the functional form of the production technology, and in the expectation formation process.

The objective is to estimate the production structure, and the demand Author: Nabaz T. Khayyat. Some papers relax this assumption, but they either consider a finite-horizon model (e.g., Albornoz et al., ) or one-shot learning (e.g., Nguyen, ). 7 Further, they do not estimate a dynamic model or separate the roles of productivity evolution and demand learning.

Second, it is feasible to consider that productivity evolution is Cited by: 5. Aggregate Productivity Growth: Lessons from Microeconomic Evidence Lucia Foster, John C. Haltiwanger, C. Krizan. Chapter in NBER book New Developments in Productivity Analysis (), Charles R. Hulten, Edwin R. Dean and Michael J.

Harper, editors (p. - ) Published in January by University of Chicago Press. Dynamic Factor Demand Models and Productivity Analysis By M.I. Nadiri and I.

Prucha Download PDF (3 MB)Author: M.I. Nadiri and I. Prucha. Dynamic and static model: de–nition Formal dynamic analysis in economics is a relatively new invention.

Ragnar Frisch worked intensively with the foundations of the discipline he dubbed macrodynamics in the early s. His de–nition of dynamics was: A dynamic theory or model is made up of relationships between variables that refer to di File Size: KB.

"Dynamic Factor Demand Models and Productivity Analysis," Electronic Working PapersUniversity of Maryland, Department of Economics. Ishaq Nadiri & Ingmar R.

Prucha, " Dynamic Factor Demand Models and Productivity Analysis," NBER Working PapersNational Bureau of Economic Research, Inc.

"'Big Data' Dynamic Factor Models for Macroeconomic Measurement and Forecasting" (Discussion of Reichlin and Watson papers), in M. Dewatripont, L.P. Hansen and sky (Eds.), Advances in Economics and Econometrics, Eighth World Congress of the Econometric Society. Cambridge: Cambridge University Press, Motivation: Solow’s growth model Most modern dynamic models of macroeconomics build on the framework described in Solow’s () paper.1 To motivate what is to follow, we start with a brief description of the Solow model.

This model was set up to study a closed economy, and we will assume that there is a constant population. The model. Request PDF | Productivity Analysis of South Korean Industrial Sector | This chapter presents empirical findings on industrial productivity changes in South Korea between andfocusing Author: Nabaz T.

Khayyat. Erwin Diewert --Dynamic factor demand models and productivity analysis / M. Ishaq Nadiri and Ingmar R. Prucha --After "technical progress and the aggregrate production function" / Robert M.

Solow --Accounting for growth / Jeremy Greenwood and Boyan Jovanovic --Why is productivity procyclical / Susanto Basu and John Fernald --Aggregate. Dynamic factor demand in a rationing model WERNER SMOLNY ”niversity of Konstanz, P.O.

BoxKonstanz, Germany In this paper, a dynamic decision model of the Þrm with a delayed adjustment of employment and investment is developed. Special attention is devoted to dynamic. "Dynamic Factor Demand Models and Productivity Analysis," Electronic Working PapersUniversity of Maryland, Department of Economics.

Nadiri, M.I. & Prucha, I., "Dynamic Factor Demand Models and Productivity Analysis," Working PapersC.V. Starr Center for Applied Economics, New York University. Dynamic factor demand models, productivity measurement, and rates of return. Cambridge, MA: National Bureau of Economic Research, [] (OCoLC) Material Type: Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: M Ishaq Nadiri; Ingmar R Prucha; National Bureau of Economic Research.

A Structural Model of Productivity, Uncertain Demand, and Export Dynamics Shengyu Liy Durham University October Abstract This paper develops a structural model of export dynamics to empirically quantify how rms’ export decisions depend on productivity evolution and Bayesian learning about demand in for-eign markets separately.

Good et al. () further describe static and dynamic factor demand models to measure TFP growth and its decomposition. The second literature stream models demand generation or consumption as a component of a production system.

In other words, a firm uses its marketing or sales departments to change its demand by: A Dynamic Analysis of Entry Regulations and Productivity in Retail Trade Florin Maicanyand Matilda Orthz December 7, Abstract Quantifying possible ine ciencies stemming from regulation is important to both policymakers and researchers.

We use a dynamic structural model to evaluate the. Dynamic factor analysis to estimate common trends in fisheries time series Article (PDF Available) in Canadian Journal of Fisheries and Aquatic Sciences 60(5) May with 1, Reads. The Commodities Factor Model (CFM) is a dynamic factor model that includes 42 energy and non-energy commodities.

We adapt the factor model proposed in Delle Chiaie, Ferrara, Giannone () in two ways. First, from the commodity price series used in their paper, we discard those that contain frequent outliers or other : Doga Bilgin, Reinhard Ellwanger.

New Developments in Productivity Analysis [Charles R. Hulten, Edwin R. Dean and Michael Harper]. The productivity slowdown of the s and s and the resumption of productivity growth in the s have provoked controversy among policymakers and.

Thus the average industry productivity growth (i.e. total factor productivity growth in a specific high-tech industry) has achieved a rate of % growth per year over the period –96 for the US electronic equipment, which includes semiconductors and communications equipment.

High productivity growth led to falling unit costs and : Jati Sengupta, Phillip Fanchon. The usual factor model of multivariate analysis cannot be applied immediately as the factor process also varies in time.

There is a dynamic part, added to the usual factor model, the auto-regressive process of the factors. Dynamic factors can be identiﬁed with some latent driving forces of the whole process. Factors can be identiﬁed only by.

A final simplifying assumption of the basic model is that a constant proportion of the population is employed (not necessarily full employment), so that the growth rates of average productivity for the economy (q ̇ i) and per capita income are the same.

The growth rate of demand for any sector's output is ε i (q ̇ i) where ε i is its income elasticity. Also, for any given sectoral Cited by: Nadiri MI, Prucha IR () Dynamic factor demand models, productivity and measurement, and rates of return: Theory and an empirical application to the US Bell System.

Structural Change and Economic Dynamics 1: –89 CrossRef Google ScholarAuthor: M. Ishaq Nadiri, Banani Nandi. Get this from a library. Endogenous capital utilization and productivity measurement in dynamic factor demand models: theory and an application to the U.S.

electrical machinery industry. [Ingmar R Prucha; M Ishaq Nadiri; National Bureau of Economic Research.]. This chapter shows how to deal with environmental issues within the conventional total factor productivity model. The central issue is to specify production and utility functions correctly in order to include the full environmental consequences of economic activity.

The framework is applied to the farm sector. A commentary is also included at the end of the chapter.ev~7 -- -zT.,s',--r-v~m ELSEVIER Journal of Development Economics Vol. 47 () JOURNAL OF Development ECONOMICS Productivity and the export market: A firm-level analysis B.-Y. Aw a,b,*, A.R. Hwang c a Department of Economics, Pennsylvania State University, Kern Graduate Building, University Park, PAUSA b The World Bank, Washington, DC, USA c The Institute of Cited by: This chapter seeks to synthesize and extend the emerging literature on the connection between micro- and aggregate productivity growth dynamics.

It focuses primarily on the empirical findings and shows that the measured quantitative contribution of reallocation to aggregate productivity growth varies significantly across studies.

The objective is to understand the sources of the differences in.