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Relevant bibliographies by topics / Simultaneous equation models

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Academic literature on the topic 'Simultaneous equation models'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Simultaneous equation models"

1

Tang, Hou Xing. "Identification of Simultaneous Equation Model in Econometrics." Applied Mechanics and Materials 58-60 (June 2011): 1944–47. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1944.

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Identification is an important topic on simultaneous equation econometric model. It determines that whether the coefficients of the simultaneous equation models can be estimated. From the definition of identification perspective, this article will provide a new method about identification based on the relation between identified equations and the linear combinations of all equations.

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Anderson, Theodore W. "ADMISSIBLE SIGNIFICANCE TESTS IN SIMULTANEOUS EQUATION MODELS." Econometric Theory 33, no. 3 (2017): 534–50. http://dx.doi.org/10.1017/s0266466616000542.

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Consider testing the null hypothesis that a single structural equation has specified coefficients. The alternative hypothesis is that the relevant part of the reduced form matrix has proper rank, that is, that the equation is identified. The usual linear model with normal disturbances is invariant with respect to linear transformations of the endogenous and of the exogenous variables. When the disturbance covariance matrix is known, it can be set to the identity, and the invariance of the endogenous variables is with respect to orthogonal transformations. The likelihood ratio test is invariant

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Halkos, George E., and Kyriaki D. Tsilika. "Programming Identification Criteria in Simultaneous Equation Models." Computational Economics 46, no. 1 (2014): 157–70. http://dx.doi.org/10.1007/s10614-014-9444-9.

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Hernández-Sanjaime, Rocío, Martín González, and Jose J. López-Espín. "Estimation of Multilevel Simultaneous Equation Models through Genetic Algorithms." Mathematics 8, no. 12 (2020): 2098. http://dx.doi.org/10.3390/math8122098.

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Problems in estimating simultaneous equation models when error terms are not intertemporally uncorrelated has motivated the introduction of a new multivariate model referred to as Multilevel Simultaneous Equation Model (MSEM). The maximum likelihood estimation of the parameters of an MSEM has been set forth. Because of the difficulties associated with the solution of the system of likelihood equations, the maximum likelihood estimator cannot be obtained through exhaustive search procedures. A hybrid metaheuristic that combines a genetic algorithm and an optimization method has been developed t

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Shina, Arya Fendha Ibnu. "ESTIMASI PARAMETER PADA SISTEM MODEL PERSAMAAN SIMULTAN DATA PANEL DINAMIS DENGAN METODE 2 SLS GMM-AB." MEDIA STATISTIKA 11, no. 2 (2018): 79–91. http://dx.doi.org/10.14710/medstat.11.2.79-91.

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Single equation models ignore interdependencies or two-way relationships between response variables. The simultaneous equation model accommodates this two-way relationship form. Two Stage Least Square Generalized Methods of Moment Arellano and Bond (2 SLS GMM-AB) is used to estimate the parameters in the simultaneous system model of dynamic panel data if each structural equation is exactly identified or over identified. In the simultaneous equation system model with dynamic panel data, each structural equation and reduced form is a dynamic panel data regression equation. Estimation of structur

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Hepple, Leslie W. "Testing for spatial autocorrelation in simultaneous equation models." Computers, Environment and Urban Systems 21, no. 5 (1997): 307–15. http://dx.doi.org/10.1016/s0198-9715(98)00002-7.

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Ristl, Robin, Ludwig Hothorn, Christian Ritz, and Martin Posch. "Simultaneous inference for multiple marginal generalized estimating equation models." Statistical Methods in Medical Research 29, no. 6 (2019): 1746–62. http://dx.doi.org/10.1177/0962280219873005.

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Motivated by small-sample studies in ophthalmology and dermatology, we study the problem of simultaneous inference for multiple endpoints in the presence of repeated observations. We propose a framework in which a generalized estimating equation model is fit for each endpoint marginally, taking into account dependencies within the same subject. The asymptotic joint normality of the stacked vector of marginal estimating equations is used to derive Wald-type simultaneous confidence intervals and hypothesis tests for multiple linear contrasts of regression coefficients of the multiple marginal mo

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Polovina, Jeffrey J. "A System of Simultaneous Dynamic Production and Forecast Models for Mulispecies or Multiarea Applications." Canadian Journal of Fisheries and Aquatic Sciences 46, no. 6 (1989): 961–63. http://dx.doi.org/10.1139/f89-124.

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A system of simultaneous dynamic production models is presented for multispecies or multiarea applications. The system of equations arises by using a linear dynamic production model with one equation for each area or species. The parameter estimation for the system of equations is particularly efficient when some of the parameters are assumed to have the same value in more than one equation.

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Bartus, Tamás. "Multilevel Multiprocess Modeling with Gsem." Stata Journal: Promoting communications on statistics and Stata 17, no. 2 (2017): 442–61. http://dx.doi.org/10.1177/1536867x1701700211.

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Multilevel multiprocess models are simultaneous equation systems that include multilevel hazard equations with correlated random effects. Demographers routinely use these models to adjust estimates for endogeneity and sample selection. In this article, I demonstrate how multilevel multiprocess models can be fit with the gsem command. I distinguish between two classes of multilevel multiprocess models: nonrecursive systems of hazard equations without observed endogenous variables and recursive systems that include a hazard equation with observed endogenous qualitative variables. I illustrate th

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Hsiao, Cheng, and Qiankun Zhou. "JIVE FOR PANEL DYNAMIC SIMULTANEOUS EQUATIONS MODELS." Econometric Theory 34, no. 6 (2017): 1325–69. http://dx.doi.org/10.1017/s0266466617000421.

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We consider the method of moments estimation of a structural equation in a panel dynamic simultaneous equations model under different sample size combinations of cross-sectional dimension, N, and time series dimension, T. Two types of linear transformation to remove the individual-specific effects from the model, first difference and forward orthogonal demeaning, are considered. We show that the Alvarez and Arellano (2003) type GMM estimator under both transformations is consistent only if ${T \over N} \to 0$ as $\left( {N,T} \right) \to \infty $. However, it is asymptotically biased if ${{{T^

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Dissertations / Theses on the topic "Simultaneous equation models"

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Hall, A. "Estimation and inference in simultaneous equation models." Thesis, University of Warwick, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356473.

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Tringides, Constantinos A. "Alternative formulations of joint model systems of departure time choice and mode choice for non-work trips." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000240.

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Ribeiro, Filipe Simões. "Determinantes da composição do endividamento das empresas brasileiras: a consideração da maturidade e da fonte de financiamento." Universidade Federal de Juiz de Fora (UFJF), 2009. https://repositorio.ufjf.br/jspui/handle/ufjf/3956.

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Kim, Hag-Soo. "Semiparametric estimation of nonlinear simultaneous equations models." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1273662774.

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Yang, Kai. "Essays on Multivariate and Simultaneous Equations Spatial Autoregressive Models." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461277549.

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Hirotsu, Nobuyoshi. "A formulation of optimal substitution strategies using a Markov process model in baseball and soccer." Thesis, Lancaster University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288978.

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Wang, Dandan. "Bias assessment and reduction for limited information estimation in general dynamic simultaneous equations models." Thesis, Cardiff University, 2017. http://orca.cf.ac.uk/98538/.

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Most of the literature which has considered the small sample bias of limited information estimators in simultaneous equation models has done so in the context of the static rather than the dynamic simultaneous equations model (DSEM). Therefore, an analysis of the performance of estimators in the general dynamic simultaneous equations case is timely and this is what is provided in this paper. By introducing an asymptotic expansion for the estimation errors of estimators, we are able to obtain bias approximations to order T−1. Following this we constructed bias corrected estimators by using the

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Jacobs, Rodney A. "Data Structures and Algorithms for Efficient Solution of Simultaneous Linear Equations from 3-D Ice Sheet Models." Fogler Library, University of Maine, 2005. http://www.library.umaine.edu/theses/pdf/JacobsRA2005.pdf.

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Melega, Rayani. "Desempenho da firma e práticas de governança corporativa: um modelo de equações simultâneas." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/18/18157/tde-21102011-114848/.

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O objetivo deste trabalho é analisar a relação entre práticas de governança corporativa e desempenho de 370 empresas brasileiras de capital aberto no período de 1997 a 2007. O banco de dados utilizado foi construído a partir de dados extraídos dos relatórios Informativos Anuais (IAN), fornecidos pela Comissão de Valores Mobiliários (CVM) e pela base de dados do Economática®. Para considerar a causalidade reversa entre as variáveis de governança e desempenho e tendo em vista a presença de endogeneidade, utilizou-se um sistema de equações simultâneas composto por quatros equações. Neste sistema

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Tao, Ji. "Spatial econometrics models, methods and applications /." Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1118957992.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains x, 140 p. Includes bibliographical references (p. 137-140). Available online via OhioLINK's ETD Center

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Books on the topic "Simultaneous equation models"

1

Hall, Alastair. Estimation and inference in simultaneous equation models. typescript, 1985.

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2

Evans, Lewis. Simulating dynamic simultaneous equation models using complete information. Victoria University of Wellington, Department of Economics, 1985.

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Krishnakumar, Jayalakshmi. Estimation of simultaneous equation models with error components structure. Springer Verlag, 1988.

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Krishnakumar, Jayalakshmi. Estimation of simultaneous equation models with error components structure. Springer-Verlag, 1988.

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Krishnakumar, Jayalakshmi. Estimation of Simultaneous Equation Models with Error Components Structure. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-45647-3.

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Sims, Christopher A. MCMC method for Markov mixture simultaneous-equation models: A note. Federal Reserve Bank of Atlanta, 2004.

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Carpenter, Gregory S. A test for detecting and identifying unequal parameters in simultaneous-equation models. Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1988.

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Hausman, Jerry A. Efficient estimation and identification of simultaneous equation models with covariance restrictions. Dept. of Economics, Massachusetts Institute of Technology, 1985.

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9

Ali, Mubarik. Supply response of major crops in Pakistan: A simultaneous equation approach. Directorate of Agricultural Policy and Chemonics International Consulting Divison for the Economic Analysis Network Project in collaboration with the Ministry of Food, Agriculture, and Cooperatives, Government of Pakistan, and the United States Agency for International Development, 1988.

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Pötter, Ulrich. Models for interdependent decisions over time. European Science Foundation, Scientific Network on Household Panel Studies, University of Essex, 1992.

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Book chapters on the topic "Simultaneous equation models"

1

Asteriou, Dimitrios, and Stephen G. Hall. "Simultaneous Equation Models." In Applied Econometrics. Macmillan Education UK, 2016. http://dx.doi.org/10.1057/978-1-137-41547-9_11.

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Lee, Cheng-Few, Hong-Yi Chen, and John Lee. "Simultaneous Equation Models." In Financial Econometrics, Mathematics and Statistics. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9429-8_4.

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Arminger, Gerhard, and Ulrich Küsters. "Simultaneous Equation Systems with Categorical Observed Variables." In Generalized Linear Models. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4615-7070-7_3.

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Lazaridis, Alexis. "Simultaneous Equation Models and Dynamic Systems." In Dynamic Systems in Management Science. Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137508928_8.

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Washio, Takashi, Hiroshi Motoda, and Niwa Yuji. "Discovering Admissible Simultaneous Equation Models from Observed Data." In Machine Learning: ECML 2001. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44795-4_46.

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Harvey, Andrew C., and Garry D. A. Phillips. "Testing for Structural Change in Simultaneous Equation Models." In Statistical Analysis and Forecasting of Economic Structural Change. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-02571-0_2.

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Bentler, Peter M., and Jiajuan Liang. "Simultaneous Mean and Covariance Structure Analysis for Two Level Structural Equation Models on EQS." In New Developments in Psychometrics. Springer Japan, 2003. http://dx.doi.org/10.1007/978-4-431-66996-8_12.

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Rothenberg, Thomas J. "Simultaneous Equations Models." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_1765-1.

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Rothenberg, Thomas J. "Simultaneous Equations Models." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_1765-2.

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Rothenberg, Thomas J. "Simultaneous Equations Models." In Econometrics. Palgrave Macmillan UK, 1990. http://dx.doi.org/10.1007/978-1-349-20570-7_31.

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Conference papers on the topic "Simultaneous equation models"

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Gomez, Oscar, Jose J. Lopez-Espin, and Antonio Penalver. "Parallel algorithm for prediction of variables in Simultaneous Equation Models." In 2019 International Conference on High Performance Computing & Simulation (HPCS). IEEE, 2019. http://dx.doi.org/10.1109/hpcs48598.2019.9188089.

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Almeida, Francisco, Domingo Gimenez, and Jose J. Lopez-Espin. "Obtaining Simultaneous Equation Models through a Unified Shared-Memory Scheme of Metaheuristics." In Distributed Processing, Workshops and Phd Forum (IPDPSW). IEEE, 2011. http://dx.doi.org/10.1109/ipdps.2011.359.

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Shengjie, Chen, Huang Juan, and Gao Chaonan. "The Environmental Effect Of Zhejiang's Foreign Trade Against the Background of Internet Plus ——An Empirical Analysis Based On Simultaneous Equation Models." In Proceedings of the 2019 4th International Conference on Social Sciences and Economic Development (ICSSED 2019). Atlantis Press, 2019. http://dx.doi.org/10.2991/icssed-19.2019.141.

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Malti, Rachid, Ste´phane Victor, Olivier Nicolas, and Alain Oustaloup. "System Identification Using Fractional Models: State of the Art." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35332.

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This paper presents a state of the art of actual achievements in time-domain system identification using fractional models. It starts with some general aspects on time and frequency-domain representations, time-domain simulation, and stability of fractional models. Then, an overview on system identification methods using fractional models is presented. Both equation-error and output-error-based models are detailed. In the former models, prior knowledge is generally used to fix differentiation orders; model coefficients are estimated using least squares. The latter models allow simultaneous est

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Van Auken, R. Michael. "Development and Comparison of Laplace Domain and State-Space Models of a Half-Car With Flexible Body." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24518.

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Math models of wheeled ground vehicle dynamics, including flexible body effects, have been the subject of research and development for many years. These models are typically based on a finite system of simultaneous ordinary differential equations (e.g., state-space models). Higher order models that include flexible body effects offer improved accuracy over a wider frequency range than lower order rigid body models; however higher order models are typically more sensitive to uncertainties in the model parameters and have increased computational requirements. Lower order models with the desired

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Ramezani, Mahdi, Shankar Subramaniam, and Michael G. Olsen. "Investigation of Pseudo Turbulent Scalar Transport in Two Phase Fluid Flow and Passive Scalar Mixing Using Simultaneous SPIV/PLIF." In ASME 2014 4th Joint US-European Fluids Engineering Division Summer Meeting collocated with the ASME 2014 12th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/fedsm2014-22128.

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The presented work is focused on developing closure models for simulation of multiphase flow using multi-fluid models. In the two-fluid model, pseudo turbulent terms appear in both the heat transfer term in the energy equation and the mass transfer term in the species equation. These terms are often neglected due to lack of information, but recent studies show that they can indeed be significant in the simulation of the inter particle phenomena. In the present work, we experimentally investigate the importance of pseudo turbulent term in passive scalar transport. A simultaneous stereo particle

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Abyaneh, M. H. J., та M. H. Saidi. "Velocity Distributions in (r,θ) Directions for Laminar Flow of a Film Around Horizontal Circular Tube". У ASME 2006 2nd Joint U.S.-European Fluids Engineering Summer Meeting Collocated With the 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/fedsm2006-98087.

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Velocity distributions in (r,θ) directions are evaluated by solving simultaneous simplified Navier-Stokes equations (NSE) and continuity equation (CE) in polar coordinate. The analysis is based on steady state laminar flow of thin falling liquid film on a horizontal circular tube, for cases in which traction on the film surface is considered negligible. It is a common geometry for part of engineering problems such as evaporator, condenser, absorber, generator of absorption chillers and other similar units in mechanical and chemical engineering. Knowledge of the velocity profiles is usually nee

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Giannopapa, C. G. "Indicative Results and Progress on the Development of the Unified Single Solution Method for Fluid-Structure Interaction Problems." In ASME 2007 Pressure Vessels and Piping Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/pvp2007-26420.

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This paper presents the progress on the development of a novel unified solution method for solving strongly coupled fluid-structure interaction problems. The method has been developed and fully tested for solids in [1]. The new approach is based on continuum mechanics formulation for fluids and structures where both continua can be solved using the momentum and continuity equation. The difference between the two continua lies in the constitutive equations. In this framework a single set of equations is used for the simultaneous solution of both fluid and solid. The common equations are written

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Archibold, Antonio Ramos, Muhammad M. Rahman, D. Yogi Goswami, and Elias L. Stefanakos. "High Temperature Latent-Heat Thermal Energy Storage Module With Enhanced Combined Mode Heat Transfer." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38766.

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A numerical solution of the melting problem of a semitransparent gray, medium contained in a closed heated spherical shell is presented in this study. The influence of all the fundamental energy transfer mechanisms on the melting dynamics of the phase change medium (PCM) has been analyzed, in order to extend the convectional natural convection-dominated model and to expand the limited literature in the thermal energy storage (TES) area at high operating temperatures (>800°C). A two-dimensional, axisymmetric, transient model has been solved numerically. The discrete ordinate method was used

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Liu, Fuxiang. "The simultaneous equations models for the application in forestry." In 2018 4th International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/essaeme-18.2018.1.

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Reports on the topic "Simultaneous equation models"

1

Anderson, Theodore W. Optimal significance tests in simultaneous equation models. Institute for Fiscal Studies, 2010. http://dx.doi.org/10.1920/wp.cem.2010.1810.

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Masten, Matthew. Random coefficients on endogenous variables in simultaneous equations models. Institute for Fiscal Studies, 2015. http://dx.doi.org/10.1920/wp.cem.2015.2515.

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Masten, Matthew. Random coefficients on endogenous variables in simultaneous equations models. Institute for Fiscal Studies, 2014. http://dx.doi.org/10.1920/wp.cem.2013.0114.

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Imbens, Guido, and Whitney Newey. Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity. National Bureau of Economic Research, 2002. http://dx.doi.org/10.3386/t0285.

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Haile, Phil, and Steven Berry. Identification of nonparametric simultaneous equations models with a residual index structure. Institute for Fiscal Studies, 2015. http://dx.doi.org/10.1920/wp.cem.2015.4815.

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Matzkin, Rosa, and Richard Blundell. Conditions for the existence of control functions in nonseparable simultaneous equations models. IFS, 2010. http://dx.doi.org/10.1920/wp.cem.2010.2810.

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Qian, Yi, and Hui Xie. Investigating the Dynamic Effects of Counterfeits with a Random Changepoint Simultaneous Equation Model. National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w16692.

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