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Статті в журналах з теми "Estimation de la fonction de production"
Petey, Joël. "Les déterminants du risque d'insolvabilité dans l'industrie bancaire. Une approche en termes de frontière de production." Recherches économiques de Louvain 70, no. 4 (2004): 401–24. http://dx.doi.org/10.1017/s0770451800006102.
Повний текст джерелаThioune, Thierno. "Écart de production dans la zone UEMOA : analyse comparative d'une estimation par la fonction de production, le filtre de Kalman et le var structurel bayésien." Revue Internationale des Économistes de Langue Française 6, no. 2 (2021): 77–105. http://dx.doi.org/10.18559/rielf.2021.2.4.
Повний текст джерелаLópez Rodriguez, Jesús, and Miguel Muñoz. "Gasto público en salud, crecimiento económico y elasticidad de sustitución: resultados para la economía española 1985-2003." Lecturas de Economía, no. 70 (September 11, 2009): 63–84. http://dx.doi.org/10.17533/udea.le.n70a2255.
Повний текст джерелаAkpo, Léonnard Elie, Michel Grouzis, and André Gaston. "Pluviosité et productivité des herbages de l'aire pastorale de Wiidu Thiengoli au Ferlo (Nord Sénégal). Estimation des charges fréquentielles." Revue d’élevage et de médecine vétérinaire des pays tropicaux 46, no. 4 (April 1, 1993): 675–81. http://dx.doi.org/10.19182/remvt.9424.
Повний текст джерелаCHATELLIER, V., and V. JACQUERIE. "La diversité des exploitations laitières européennes et les effets différenciés de la réforme de la PAC de juin 2003." INRAE Productions Animales 17, no. 4 (October 5, 2004): 315–33. http://dx.doi.org/10.20870/productions-animales.2004.17.4.3606.
Повний текст джерелаMIGNON-GRASTEAU, S., and C. BEAUMONT. "Les courbes de croissance chez les oiseaux." INRAE Productions Animales 13, no. 5 (October 22, 2000): 337–48. http://dx.doi.org/10.20870/productions-animales.2000.13.5.3802.
Повний текст джерелаDESMOULIN, B., P. ECOLAN, and M. BONNEAU. "Estimation de la composition tissulaire des carcasses de porcs : récapitulatif de diverses méthodes utilisables en expérimentation." INRAE Productions Animales 1, no. 1 (February 11, 1988): 59–64. http://dx.doi.org/10.20870/productions-animales.1988.1.1.4435.
Повний текст джерелаSabatier, Mareva. "Modes de recherche d’emploi et durée de chômage des jeunes : applications microéconométriques au Panel Téléphonique du CEREQ." Articles 78, no. 1 (March 11, 2004): 41–66. http://dx.doi.org/10.7202/007244ar.
Повний текст джерелаTessier, D. "Le sol, lieu d'échange et de transferts. Conséquences de leur utilisation par l'homme : un exemple français." Revue des sciences de l'eau 15 (April 12, 2005): 9–26. http://dx.doi.org/10.7202/705483ar.
Повний текст джерелаSAUVANT, D., P. CHAPOUTOT, and H. ARCHIMEDE. "La digestion des amidons par les ruminants et ses conséquences." INRAE Productions Animales 7, no. 2 (April 24, 1994): 115–24. http://dx.doi.org/10.20870/productions-animales.1994.7.2.4161.
Повний текст джерелаДисертації з теми "Estimation de la fonction de production"
Bauer, Arthur. "Essays on Firms Production Function, Markups, and the Share of their Income Going to Workers." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAG006.
Повний текст джерелаFirms production function link their use of input factors to their production level. Production function estimates are at the same time important and untrustworthy. Important, because key indicators for policy design, such as the measure of aggregate markups, are derived from those estimates. Untrustworthy because they rely on identification assumptions.This project studies the assumptions underlying the usual techniques for estimating production functions: both their functional forms and the often assumed inputs flexibility. It then leverages production function estimates, to assess how firms ability to price over marginal income and the share of their income going to workers have evolved over the last 30 years.In Chapter 1 we provide evidence on the input flexibility assumption grounding production function estimation: the quasi instantaneous adjustment of either material or labor and delayed adjustment of capital hold. We rely on the existence of notches; values where after-tax profits decrease in before-tax sales in the French tax code.We identify which type of firms adjust their size in response to a transient notch. We do this by studying the ex-ante characteristics of firms below the tax cutoff. We find that firms who bunch tend to have larger elasticity of output with respect to materials and lower elasticity of output with respect to capital. Consistently, we also show that to adjust their remaining production firms, tend to primarily reduce spending on material.In Chapter 2 we leverage evidence on inputs flexibility to recover firm level markups of the universe of firms in France over the 1984-2016 period. De Loecker and Warzynski (2012) show that a firm’s markup proportionates the inverse of one of its flexible inputs revenue share. We analyze the evolution of aggregate markups in France and document that the rise of concentration correlates with a reallocation of market share towards high markup firms. We also show that the evolution of the labor share mirrors the evolution of markups: reallocation tends to decrease labor share while within firms, labor share rises.The choice of a functional form to describe firms production process is a compromise between theory and empirics. The workhorse production function is Cobb-Douglas and imposes a constant (and equal to 1) elasticity of substitution. Recent evidence in the empirical literature has however estimated a micro-elasticity of substitution significantly lower than one. While CES production functions allow for non-unit elasticity of substitution, they assume constant elasticity within industry and imply that the ratio of input use doesn’t depend on firm size.In Chapter 3, we show that the latter production function cannot account for IT inputs use in firms.With detailed data on software and hardware investments among French firms, we document that the firm-level demand for IT inputs relative to other inputs grows in the firm’s scale of operation. Theoretically, a non-homothetic CES production function helps rationalizing this empirical fact.We then analyze how the interaction of the fall of IT prices and the non-homothetic characteristics of IT inputs also help rationalize the empirical facts documented in chapter 2. First, since larger firms are more IT intensive in the cross-section, they benefit disproportionally from the fall in IT prices, rationalizing the rise of concentration. Similarly, since larger firms are more IT intensive in the cross-section, they operate at lower returns to scale and therefore have higher profit shares and lower labor shares. This explains how the rise in concentration drives a decline in aggregate labor shares. Finally, the comparative statistics of the model predicts that the fall of IT prices imply that when firms substitute toward IT they operate at higher returns to scale and therefore tend to have larger labor share, explaining the positive contribution to aggregate labor share of the within component
Auclair, Vincent. "Estimation des fonctions d'offre des principaux pays producteurs de pétrole." Thesis, Université Laval, 2011. http://www.theses.ulaval.ca/2011/28252/28252.pdf.
Повний текст джерелаThenon, Arthur. "Utilisation de méta-modèles multi-fidélité pour l'optimisation de la production des réservoirs." Electronic Thesis or Diss., Paris 6, 2017. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2017PA066100.pdf.
Повний текст джерелаPerforming flow simulations on numerical models representative of oil deposits is usually a time consuming task in reservoir engineering. The substitution of a meta-model, a mathematical approximation, for the flow simulator is thus a common practice to reduce the number of calls to the flow simulator. It permits to consider applications such as sensitivity analysis, history-matching, production estimation and optimization. This thesis is about the study of meta-models able to integrate simulations performed at different levels of accuracy, for instance on reservoir models with various grid resolutions. The goal is to speed up the building of a predictive meta-model by balancing few expensive but accurate simulations, with numerous cheap but approximated ones. Multi-fidelity meta-models, based on co-kriging, are thus compared to kriging meta-models for approximating different flow simulation outputs. To deal with vectorial outputs without building a meta-model for each component of the vector, the outputs can be split on a reduced basis using principal component analysis. Only a few meta-models are then needed to approximate the main coefficients in the new basis. An extension of this approach to the multi-fidelity context is proposed. In addition, it can provide an efficient meta-modelling of the objective function when used to approximate each production response involved in the objective function definition. The proposed methods are tested on two synthetic cases derived from the PUNQ-S3 and Brugge benchmark cases. Finally, sequential design algorithms are introduced to speed-up the meta-modeling process and exploit the multi-fidelity approach
Thenon, Arthur. "Utilisation de méta-modèles multi-fidélité pour l'optimisation de la production des réservoirs." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066100/document.
Повний текст джерелаPerforming flow simulations on numerical models representative of oil deposits is usually a time consuming task in reservoir engineering. The substitution of a meta-model, a mathematical approximation, for the flow simulator is thus a common practice to reduce the number of calls to the flow simulator. It permits to consider applications such as sensitivity analysis, history-matching, production estimation and optimization. This thesis is about the study of meta-models able to integrate simulations performed at different levels of accuracy, for instance on reservoir models with various grid resolutions. The goal is to speed up the building of a predictive meta-model by balancing few expensive but accurate simulations, with numerous cheap but approximated ones. Multi-fidelity meta-models, based on co-kriging, are thus compared to kriging meta-models for approximating different flow simulation outputs. To deal with vectorial outputs without building a meta-model for each component of the vector, the outputs can be split on a reduced basis using principal component analysis. Only a few meta-models are then needed to approximate the main coefficients in the new basis. An extension of this approach to the multi-fidelity context is proposed. In addition, it can provide an efficient meta-modelling of the objective function when used to approximate each production response involved in the objective function definition. The proposed methods are tested on two synthetic cases derived from the PUNQ-S3 and Brugge benchmark cases. Finally, sequential design algorithms are introduced to speed-up the meta-modeling process and exploit the multi-fidelity approach
Gérault, Raynald. "Etude des systèmes dynamiques pour l'analyse, la prédiction et la surveillance des systèmes de production." Montpellier 2, 1998. http://www.theses.fr/1998MON20242.
Повний текст джерелаGardes, Laurent. "Estimation d'une fonction quantile extrême." Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2003. http://tel.archives-ouvertes.fr/tel-00005185.
Повний текст джерелаAKOUCHE, MAHIEDINE. "Estimation de la fonction caracteristique." Paris 6, 1993. http://www.theses.fr/1993PA066005.
Повний текст джерелаRRohrbach, Bouhdiba Olfa. "Pour une fonction de production multidimensionnelle." Paris 1, 1995. http://www.theses.fr/1995PA010017.
Повний текст джерелаThe companies are experiencing an upheaval in their manufacturing organization and in their organization of the manufacturing human resources. They have to face the evolution of both the manufacturing environment and their products with the requirements they have to meet. The companies have to integrate the on-going interactions between the manufacturing activity and the other companies activities, but also the new standards of performance, quality and flexibility. In that environment, a new manufacturing paradigm is taking place that is characterized by a networked organization relying increasingly on the information technologies. The company structure is interdependent and requires the excellence of all its members. The work organization is based on multi-product production team that are autonomous and empowered. The relations with customers and with suppliers are evaluating towards partnerships. Broadly speaking, the companies are rediscovering the manufacturing function with its multiple dimensions. The managers are rediscovering the manufacturing function through new management and organization methodologies
Birichinaga, Edurne. "Estimation spline de la moyenne d'une fonction aléatoire." Pau, 1987. http://www.theses.fr/1987PAUU3021.
Повний текст джерелаBirichinaga, Edurne. "Estimation spline de la moyenne d'une fonction aléatoire." Grenoble 2 : ANRT, 1987. http://catalogue.bnf.fr/ark:/12148/cb37603023r.
Повний текст джерелаКниги з теми "Estimation de la fonction de production"
Heyer, Eric. Durées d'utilisation des facteurs et fonction de production: Une estimation par la méthode des moments généralisés en système. [Ottawa]: Banque du Canada, 2004.
Знайти повний текст джерелаPerrier, Patrick. La fonction de production et les données canadiennes. [Ottawa]: Banque du Canada, 2005.
Знайти повний текст джерелаAdithan, M. Process planning and cost estimation. New Delhi: New Age International (P) Ltd., Publishers, 2007.
Знайти повний текст джерелаKesavan, R. Process planning and cost estimation. 2nd ed. New Delhi: New Age International Ltd., 2009.
Знайти повний текст джерелаGreen, Stuart. Estimation of tritium production in fusion reactor blankets. Birmingham: University of Birmingham, 1988.
Знайти повний текст джерелаField, K. F. Estimation of direct and indirect production functions: An example from Indian paddy production. Glasgow: Dept. of Economics, Univ. of Strathclyde, 1986.
Знайти повний текст джерелаHarrigan, James. Estimation of cross-country differences in industry production functions. [New York, N.Y.]: Federal Reserve Bank of New York, 1998.
Знайти повний текст джерелаHarrigan, James. Estimation of cross-country differences in industry production functions. [New York]: Federal Reserve Bank of New York, 1997.
Знайти повний текст джерелаVogel, Fred A. Review of Chinese crop production forecasting and estimation methology. Washington, D.C.]: U.S. Dept. of Agriculture, National Agricultural Statistics Service, 1999.
Знайти повний текст джерелаHarrigan, James. Estimation of cross-country differences in industry production functions. Cambridge, MA: National Bureau of Economic Research, 1997.
Знайти повний текст джерелаЧастини книг з теми "Estimation de la fonction de production"
Khayyat, Nabaz T. "Production Function Models Estimation." In Energy Demand in Industry, 109–28. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9953-9_7.
Повний текст джерелаAdams, John, and Linda Juleff. "Production and cost estimation." In Managerial economics for Decision Making, 140–70. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-0-230-21432-3_6.
Повний текст джерелаMalik, Pradeep Kumar, Bhoomika S. Bakshi, Veerasamy Sejian, Patrik R. Zimmerman, M. Kurihara, and Raghavendra Bhatta. "Methane Estimation Methodologies in Sheep." In Sheep Production Adapting to Climate Change, 267–90. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4714-5_12.
Повний текст джерелаChlebus, Tomasz. "The Cost Estimation of Production Orders." In Computer Information Systems and Industrial Management, 465–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40925-7_43.
Повний текст джерелаPokrovskii, Vladimir N. "Estimation of Parameters of Production Processes." In Econodynamics, 147–61. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72074-6_7.
Повний текст джерелаDesai, Shreya, and Natarajan Amaresan. "Estimation of Nitrogen Production by Actinobacteria." In Methods in Actinobacteriology, 595–97. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-1728-1_87.
Повний текст джерелаDesai, Shreya, and Natarajan Amaresan. "Estimation of Auxin Production by Actinobacteria." In Methods in Actinobacteriology, 621–24. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-1728-1_92.
Повний текст джерелаDeb, Dibyendu, Subhadeep Mandal, Shovik Deb, Ashok Choudhury, and Satyajit Hembram. "Crop Production Estimation Using Remote Sensing." In Geospatial Technologies for Crops and Soils, 229–43. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6864-0_6.
Повний текст джерелаLukinskiy, Valery, Vladislav Lukinskiy, Boris Sokolov, and Darya Bazhina. "A Probabilistic Estimation of Perfect Order Parameters." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 447–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85874-2_47.
Повний текст джерелаRoumpos, Christos P., Nikolaos I. Paraskevis, Michael J. Galetakis, and Theodore N. Michalakopoulos. "Mineable Lignite Reserves Estimation in Continuous Surface Mining." In Lecture Notes in Production Engineering, 177–94. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12301-1_18.
Повний текст джерелаТези доповідей конференцій з теми "Estimation de la fonction de production"
Valle, Andrea. "« Mettre au monde le monde ».. Sur la relation entre sémiotique de la production et production sémiotique." In Arts du faire : production et expertise. Limoges: Université de Limoges, 2009. http://dx.doi.org/10.25965/as.3213.
Повний текст джерелаJensen, Trond B. "Estimation of Production Forecast Uncertainty for a Mature Production License." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 1998. http://dx.doi.org/10.2118/49091-ms.
Повний текст джерелаOzkan, E., and R. Raghavan. "Estimation of Formation Damage in Horizontal Wells." In SPE Production Operations Symposium. Society of Petroleum Engineers, 1997. http://dx.doi.org/10.2118/37511-ms.
Повний текст джерелаMehana, Mohamed, and Jeff Callard. "Reserve Estimation With Unified Production Analysis." In Unconventional Resources Technology Conference. Tulsa, OK, USA: American Association of Petroleum Geologists, 2018. http://dx.doi.org/10.15530/urtec-2018-2901909.
Повний текст джерелаKelkar, M. G. "Estimation of Turbulence Coefficient Based on Field Observations." In SPE Production Operations Symposium. Society of Petroleum Engineers, 1997. http://dx.doi.org/10.2118/37411-ms.
Повний текст джерелаHeinrich, A., C. Bartels, R. J. van der Vleuten, and G. de Haan. "Robust Motion Estimation Design Methodology." In 2010 Conference on Visual Media Production (CVMP). IEEE, 2010. http://dx.doi.org/10.1109/cvmp.2010.14.
Повний текст джерелаMotaei, E., M. Gameel, and Z. L. B. D. M. Lubis. "Ultimate Reserve Estimation Using Production Data Analysis." In 79th EAGE Conference and Exhibition 2017. Netherlands: EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201700627.
Повний текст джерелаFaranda, R., H. Hafezi, S. Leva, M. Mussetta, and E. Ogliari. "Enegy production estimation for suitable PV Planning." In 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM 2014). IEEE, 2014. http://dx.doi.org/10.1109/speedam.2014.6872104.
Повний текст джерелаElgsaeter, Steinar, Olav Slupphaug, and Tor Arne Johansen. "Production optimization; System Identification and Uncertainty Estimation." In Intelligent Energy Conference and Exhibition. Society of Petroleum Engineers, 2008. http://dx.doi.org/10.2118/112186-ms.
Повний текст джерелаKitipong, Arinchai, Worasak Rueangsirasak, Roungsan Chaisricharoen, and Rawid Banchuin. "Batik price estimation system for textile production." In 2014 12th International Conference on ICT and Knowledge Engineering (ICT & Knowledge Engineering 2014). IEEE, 2014. http://dx.doi.org/10.1109/ictke.2014.7001534.
Повний текст джерелаЗвіти організацій з теми "Estimation de la fonction de production"
Collard-Wexler, Allan, and Jan De Loecker. Production Function Estimation and Capital Measurement Error. Cambridge, MA: National Bureau of Economic Research, July 2016. http://dx.doi.org/10.3386/w22437.
Повний текст джерелаBond, Steve, Arshia Hashemi, Greg Kaplan, and Piotr Zoch. Some Unpleasant Markup Arithmetic: Production Function Elasticities and their Estimation from Production Data. Cambridge, MA: National Bureau of Economic Research, April 2020. http://dx.doi.org/10.3386/w27002.
Повний текст джерелаKavanaugh, D. C., and W. B. Ashton. The specification and estimation of technological change in electricity production. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/10121052.
Повний текст джерелаJaumandreu, Jordi, and Jacques Mairesse. Innovation and Welfare: Results from Joint Estimation of Production and Demand Functions. Cambridge, MA: National Bureau of Economic Research, July 2010. http://dx.doi.org/10.3386/w16221.
Повний текст джерелаJiang, Yi, and Hongbo Wu. Determination of INDOT Highway Construction Production Rates and Estimation of Contract Times. West Lafayette, IN: Purdue University, 2004. http://dx.doi.org/10.5703/1288284313455.
Повний текст джерелаDhyne, Emmanuel, Amil Petrin, Valerie Smeets, and Frederic Warzynski. Theory for Extending Single-Product Production Function Estimation to Multi-Product Settings. Cambridge, MA: National Bureau of Economic Research, December 2022. http://dx.doi.org/10.3386/w30784.
Повний текст джерелаJames, Brian D., Jeffrey A. Kalinoski, and Kevin N. Baum. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications. 2009 Update. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/1218889.
Повний текст джерелаJames, Brian D., and Jeffrey A. Kalinoski. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications. 2008 Update. Office of Scientific and Technical Information (OSTI), March 2009. http://dx.doi.org/10.2172/1219352.
Повний текст джерелаJames, Brian D., and Jeffrey A. Kalinoski. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2007 Update. Office of Scientific and Technical Information (OSTI), February 2008. http://dx.doi.org/10.2172/1219353.
Повний текст джерелаHellerstein, Judith, and David Neumark. Production Function and Wage Equation Estimation with Heterogeneous Labor: Evidence from a New Matched Employer-Employee Data Set. Cambridge, MA: National Bureau of Economic Research, February 2004. http://dx.doi.org/10.3386/w10325.
Повний текст джерела