Relevant bibliographies by topics / Simultaneous equation models

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

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"

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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 (April 21, 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 with respect to these transformations and is the best invariant test. Furthermore it is admissible in the class of all tests. Any other test has lower power and/or higher significance level. In particular, this likelihood ratio test dominates a test based on the Two-Stage Least Squares estimator.
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Halkos, George E., and Kyriaki D. Tsilika. "Programming Identification Criteria in Simultaneous Equation Models." Computational Economics 46, no. 1 (April 29, 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 (November 24, 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 to overcome both technical and analytical limitations in the general case when the covariance structure is unknown. The behaviour of the hybrid metaheuristic has been discussed by varying different tuning parameters. A simulation study has been included to evaluate the adequacy of this estimator when error terms are not serially independent. Finally, the performance of this estimation approach has been compared with regard to other alternatives.
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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 (December 30, 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 structural equations and reduced form using Ordinary Least Square (OLS) resulted biased and inconsistent estimators. Arellano and Bond GMM method (GMM AB) estimator produces unbiased, consistent, and efficient estimators.The purpose of this paper is to explain the steps of 2 SLS GMM-AB method to estimate parameter in simultaneous equation model with dynamic panel data. Keywords:2 SLS GMM-AB, Arellano and Bond estimator, Dynamic Panel Data, Simultaneous Equations
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Hepple, Leslie W. "Testing for spatial autocorrelation in simultaneous equation models." Computers, Environment and Urban Systems 21, no. 5 (September 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 (September 17, 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 models. The small sample performance of this approach is improved by a bias adjustment to the estimate of the joint covariance matrix of the regression coefficients from multiple models. As a further small sample improvement a multivariate t-distribution with appropriate degrees of freedom is specified as reference distribution. In addition, a generalized score test based on the stacked estimating equations is derived. Simulation results show strong control of the family-wise type I error rate for these methods even with small sample sizes and increased power compared to a Bonferroni-Holm multiplicity adjustment. Thus, the proposed methods are suitable to efficiently use the information from repeated observations of multiple endpoints in small-sample studies.
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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 (June 1, 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 (June 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 the estimation of both classes of models using sample datasets shipped with the statistical software aML. I pay special attention to identifying structural coefficients in nonrecursive simultaneous systems.
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Hsiao, Cheng, and Qiankun Zhou. "JIVE FOR PANEL DYNAMIC SIMULTANEOUS EQUATIONS MODELS." Econometric Theory 34, no. 6 (November 2, 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 ${{{T^3}} \over N} \to \kappa \ne 0 < \infty$ as $\left( {N,T} \right) \to \infty $. Since the validity of statistical inference depends critically on whether an estimator is asymptotically unbiased, we suggest a jackknife bias reduction method and derive its limiting distribution. Monte Carlo studies are conducted to demonstrate the importance of using an asymptotically unbiased estimator to obtain valid statistical inference.
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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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FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Na área de Finanças Corporativas, há uma vasta literatura que trata dos determinantes do endividamento das empresas. Entretanto, os estudos que analisam essa escolha têm se focado mais nas diferenças entre a utilização de capital próprio e de terceiros, enquanto a literatura a respeito da estrutura (maturidade e fonte) desse endividamento é relativamente menos abundante. Visto isso, este estudo tem como objetivo promover uma investigação empírica acerca das características que influenciam a escolha da maturidade da dívida (dívidas de curto ou longo prazo) e da fonte de financiamento (utilização de oferta pública ou colocação privada de títulos). Para tanto, é utilizada a metodologia de Dados em Painel, a fim de se considerar simultaneamente as dimensões tempo e seccional, auxiliada pela abordagem de equações simultâneas, tendo em vista haver na literatura indicações acerca da endogeneidade de alguns regressores. As informações necessárias à condução do estudo são levantadas para empresas brasileiras que possuem suas ações listadas na Bolsa de Valores de São Paulo (BOVESPA) e na Sociedade Operadora do Mercado de Ativos (SOMA) a partir do banco de dados da Economatica®. Os resultados mostram que empresas brasileiras mais maduras e estabelecidas no mercado tendem a utilizar seus recursos internos como forma de financiar projetos, conforme sugere a Teoria da Pecking Order. Entretanto, quando estas procuram recursos externos, preferem a utilização de fontes privadas de dívidas, como os bancos, importante fonte de recursos para as empresas brasileiras. Pode-se dizer também que existem fortes indicações do processo conhecido como “colaterização da dívida”, principalmente quando se tratam de fontes privadas e recursos de curto prazo. Outro resultado interessante é que a decisão sobre a maturidade e a fonte de financiamento é também influenciada pelas “janelas de oportunidade”, provavelmente porque o maior volume de transações aumenta a liquidez do mercado financeiro, reduzindo o custo da dívida pública em relação ao da dívida privada.
In corporate finance field, there is a vast literature about the capital structure determinants. However, studies have focused on the differences between equity and debt, while the literature about debt structure (maturity and source) is relatively scarce. As such, this study aims to promote empirical research about characteristics that influence debt maturity choice (short or long term debt) and funding source (public offering or private placement). Therefore, Panel Data Method is used in order to consider both time and cross-sectional dimensions, aided by simultaneous equations approach, as literature indicates the presence of regressors endogeneity. Sample data, regarding Brazilian companies listed on São Paulo Stock Exchange (BOVESPA) and Sociedade Operadora do Mercado de Ativos (SOMA), were collected from Economatica® database. The results show that mature and well-established Brazilian firms tend to prefer internal resources when financing projects, as suggested by Pecking Order Theory. However, when they seek external resources, private debt sources, such as banks, are important for Brazilian companies. We can also say that there are strong indications of the process known as "collateralized debt", especially when it comes from private sources and short-term funds. Another interesting result is the debt structure decision is also influenced by "opportunities windows", probably because it increases financial markets liquidity, reducing the cost of public debt compared to private debt.
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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 estimated bias approximation to reduce the bias. As an alternative, the use of the non-parametric bootstrap as a bias correction procedure was also examined. In Chapter 2, we analyse the Two Stage Least Squares ( 2SLS ) Estimator in the general DSEM. Based on the result in Chapter 2, Chapter 3 compared the Fuller modification of the limited information maximum likelihood estimator (FLIML) with the 2SLS estimator. The bias approximation and reduction in the pth-order dynamic reduced form are analysed in Chapter 4. The results indicate that FLIML gives much less biased estimates than the 2SLS estimation in the general DSEM. We have also observed that the bias correction method based on the estimated bias approximation to order T−1 provides almost unbiased estimates and it does not lead to an inflation of the mean squared errors compared with the associated uncorrected estimators. We suggest that the corrected estimators, based upon the O(T−1), should be used to reduce the bias of the original estimators in small samples. Alternatively, the numerical results show that the bootstrap method leads to an effective reduction of the bias and an inflation of MSE, however this reduction is not as effective as the first one.
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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 as variáveis de governança corporativa, estrutura de capital, estrutura de propriedade e desempenho foram consideradas endógenas. Os parâmetros do modelo foram estimados com a utilização do método de mínimos quadrados de dois estágios (MQ2E) e de mínimos quadrados de três estágios (MQ3E). O teste de Hausman sugere que as estimativas obtidas por meio de mínimos quadrados de três estágios são mais apropriadas para as inferências estatísticas. Os principais resultados indicaram que a diferença entre o direito de voto e o direito de fluxo de caixa em posse do maior acionista último é negativamente relacionada com o desempenho operacional da empresa. Isto indica que empresas com maior potencial de expropriação dos acionistas minoritários pelos majoritários tendem a apresentar menor desempenho. Esse resultado confirma a hipótese de que uma maior qualidade de governança corporativa impacta positivamente no desempenho da firma. Com a utilização da metodologia empregada, também foi possível analisar a influência do desempenho da firma sobre aspectos de governança corporativa. Os resultados apontaram que, quanto maior o desempenho maior a diferença entre o direito de voto e direito de fluxo de caixa do maior acionista último. Assim, os resultados evidenciam que a adoção de práticas de governança é importante para explicar o desempenho da firma, e também indicam a existência de inter-relação entre as variáveis testadas no modelo.
The objective of this study is to analyze the relationship between corporate governance practices and performance of 370 Brazilian companies traded in the period of 1997 to 2007. The used data base was created from extracted data of Informative Annual reports (IAN), provided by Comissão de Valores Mobiliários (CVM) and by the data base of Economática®. To consider the reverse causality between governance variables and performance and in view of the presence of endogeneity, we used a system of simultaneous equations consisting of four equations. In this system, the corporate governance variables, capital structure, ownership structure and performance were considered endogenous. The model parameters were estimated using the method of two-stage least squares (2SLS) and three-stage least squares (3SLS). The Hausman test suggests that the obtained estimates through the tree-stage least squares are more appropriate for statistical inferences. The main results indicate that the difference between voting right and cash flow right at the possession of the last largest shareholder is negatively related to the company\'s operating performance. This result indicates that firms with greater potential for expropriation of minority shareholders by majority shareholders tend to have lower performance which confirms the hypothesis that a higher quality of corporate governance has a positive impact on firm performance. Using this methodology, it was also possible to analyze the influence of the firm performance on aspects of corporate governance. The results support that, the higher the performance the greater the difference between voting rights and cash flow right to the last major shareholder. Thus, the results indicate that the adoption of governance practices is important to explain the performance and also indicate the existence of inter-relationship between the studied variables.
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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.
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"

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Hall, Alastair. Estimation and inference in simultaneous equation models. [s.l.]: typescript, 1985.

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

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

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

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Krishnakumar, Jayalakshmi. Estimation of Simultaneous Equation Models with Error Components Structure. Berlin, Heidelberg: 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. [Atlanta]: 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. West Lafayette, Ind: 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. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1985.

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Ali, Mubarik. Supply response of major crops in Pakistan: A simultaneous equation approach. Islamabad: 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. Colchester: 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"

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Asteriou, Dimitrios, and Stephen G. Hall. "Simultaneous Equation Models." In Applied Econometrics, 243–53. London: 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, 115–24. New York, NY: 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, 15–26. New York, NY: 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, 287–319. London: 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, 539–51. Berlin, Heidelberg: 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, 25–36. Berlin, Heidelberg: 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, 123–32. Tokyo: 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, 1–7. London: 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, 1–7. London: 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, 229–37. London: 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). Paris, France: 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 estimation of model’s coefficients and differentiation orders, using non linear programming. A real thermal example is identified using a fractional model and compared to a rational one.
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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 accuracy may be achieved by model reduction of higher order models. A more general infinite dimension Laplace transfer function is derived for beam bending governed by a fourth order wave equation. The resulting infinite dimension transfer functions for beam bending are then used to develop a transfer function model of a “half-car” with a flexible body. The infinite dimensional transfer function of the half-car model is then used to assess the accuracy of the state-space models. Differences between the models due to model reduction are compared to theoretical upper bounds.
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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 image velocimetry and planar laser induced fluorescence (SPIV/PLIF) measurement of the field data for a liquid-solid flow is presented in this study. The results of this measurement are used to validate data from Particle Resolved DNS (PR-DNS) that in turn is used to develop the aforementioned closure models. In this work, results for a single sphere are presented for Reynolds number ranging from 50 to 150. In addition, results for arrays of spheres representing volume fractions of 0.1 and 0.2 are presented for the same range of Reynolds number.
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Abyaneh, M. H. J., and M. H. Saidi. "Velocity Distributions in (r,θ) Directions for Laminar Flow of a Film Around Horizontal Circular Tube." In 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 needed for: 1- solving governing energy and species equations 2- estimating the average and film surface velocity, and 3- evaluating film thickness distribution and its gradient. Two models of velocity distributions are considered, namely actual model and simplified model. Models are compared not only with each other but also with semi actual model in (x,y) coordinate given in the literatures. The average and film surface velocity profiles and film thickness distribution for these models have been shown in various conditions. The results clearly show that the larger flow rates and/or smaller tube diameter increases the calculation error.
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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 such that velocity and pressure are unknown variables for both continua. The discretisation method used for the solution of the problems is finite volumes. The physical interface between the two continua is treated as an internal part of the computational domain and no explicit exchange of information is needed. The test case used to demonstrate the idea is wave propagation in liquid filled flexible vessels. The solution is fully implicit and transient. Results regarding pressure, velocity and wall distention at different times and various locations along the tube are presented. The method is stable and robust and can be used for the next step of development and validation against classical analytical and numerical models.
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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 to solve the equation of radiative transfer and the finite volume scheme was used to solve the equations for mass, momentum and energy conservation. The effect of the optical thickness of the medium on the melt fraction rate, total and radiative heat transfer rates at the inner surface of the shell has been analyzed and discussed. Also the influence of thermal radiation has been quantified by performing comparisons between the pure conduction and the simultaneous conduction and radiation models. The results showed that the presence of thermal radiation enhances the melting process, particularly during the solid phase sensible heating process in the multi-mode heat transfer model. Also, it was found that the contribution of the radiant energy exchange is one order of magnitude smaller than the convective transport process.
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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). Paris, France: 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, July 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, June 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, January 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. Cambridge, MA: National Bureau of Economic Research, November 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, August 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, September 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. Cambridge, MA: National Bureau of Economic Research, January 2011. http://dx.doi.org/10.3386/w16692.

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