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Firm and Industry Level Profit Efficiency Analysis Under Incomplete Price Data : A Nonparametric Approach Based on Absolute and Uniform Shadow Prices
Kuosmanen, Timo - 2007
We discuss the nonparametric approach to profit efficiency analysis at the firm and industry levels in the absence of complete price information, and propose two new insights. First, choosing one commodity (whose price is known) as a numeraire good enables us to measure profit inefficiency in...
Persistent link: https://www.econbiz.de/10012731720
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Forecasting aggregate productivity using information from firm-level data
Bartelsman, Eric J.; Wolf, Zoltán - 2009
This paper contributes to the productivity literature by using results from firm-level productivity studies to improve … forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity … to build times-series components that capture the joint dynamics of the firm-level productivity and size distributions …
Persistent link: https://www.econbiz.de/10011378362
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Forecasting Aggregate Productivity Using Information from Firm-Level Data
Bartelsman, Eric J. - 2017
This paper contributes to the productivity literature by using results from firm-level productivity studies to improve … forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity … to build times-series components that capture the joint dynamics of the firm-level productivity and size distributions …
Persistent link: https://www.econbiz.de/10012976846
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Nonparametric identification of unobserved technological heterogeneity in production
Cherchye, Laurens; Demuynck, Thomas; Rock, Bram de; … - 2018
unobserved productivity factor on which firms condition the input demand of the observed inputs. Our model of unobserved …
Persistent link: https://www.econbiz.de/10011793730
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Nonparametric identification of production function, total factor productivity, and markup from revenue data
Kasahara, Hiroyuki; Sugita, Yoichi - 2020
function, total factor productivity, price markups over marginal costs, output prices, output quantities, a demand system, and …
Persistent link: https://www.econbiz.de/10012308513
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Measuring Organisation Capital at the Firm Level : A Production Function Approach
Rammer, Christian; Roth, Felix; Trunschke, Markus - 2020
Organisation capital is one of the key intangible assets of firms, driving innovation and firm performance. Measuring this asset has been notoriously difficult, however. Differently to other intangible assets, firms do not build up organisation capital primarily by monetary investment but rather...
Persistent link: https://www.econbiz.de/10014097646
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Nonparametric Identification of Production Function, Total Factor Productivity, and Markup from Revenue Data
Kasahara, Hiroyuki; Sugita, Yoichi - 2021
function, total factor productivity, price markups over marginal costs, output prices, output quantities, a demand system, and …
Persistent link: https://www.econbiz.de/10013315013
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Nonparametric Identification of Production Function, Total Factor Productivity, and Markup from Revenue Data
Kasahara, Hiroyuki; Sugita, Yoichi - 2021
: gross production function, total factor productivity, price markups over marginal costs, output prices, output quantities, a …
Persistent link: https://www.econbiz.de/10013252454
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Non-Parametric Measurement of Economies of Scale and Scope in Non-Competitive Environment with Price Uncertainty
Sahoo, Biresh - 2012
In non-competitive market characterized by heterogeneous firms and price uncertainty, we discuss the measurement of economies of scale and scope due to process indivisibilities arising from the task-specific production processes of multiproduct firm. Two competing DEA cost models — one based...
Persistent link: https://www.econbiz.de/10013097900
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Stochastic Nonparametric Envelopment of Data : Combining Virtues of Sfa and DEA in a Unified Framework
Kuosmanen, Timo - 2006
The literature of productive efficiency analysis is divided into two main branches: the parametric Stochastic Frontier Analysis (SFA) and nonparametric Data Envelopment Analysis (DEA). This paper attempts to combine the virtues of both approaches in a unified framework. We follow the SFA...
Persistent link: https://www.econbiz.de/10014057860