Relevant bibliographies by topics / Dynamic threshold panel

Academic literature on the topic 'Dynamic threshold panel'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Dynamic threshold panel"

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Ramírez-Rondán, N. R. "Maximum likelihood estimation of dynamic panel threshold models." Econometric Reviews 39, no. 3 (June 14, 2019): 260–76. http://dx.doi.org/10.1080/07474938.2019.1624401.

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Seo, Myung Hwan, Sueyoul Kim, and Young-Joo Kim. "Estimation of dynamic panel threshold model using Stata." Stata Journal: Promoting communications on statistics and Stata 19, no. 3 (September 2019): 685–97. http://dx.doi.org/10.1177/1536867x19874243.

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In this article, we develop a command, xthenreg, that implements the first-differenced generalized method of moments estimation of the dynamic panel threshold model that Seo and Shin (2016, Journal of Econometrics 195: 169–186) proposed. Furthermore, we derive the asymptotic variance formula for a kink-constrained generalized method of moments estimator of the dynamic threshold model and provide an estimation algorithm. We also propose a fast bootstrap algorithm to implement the bootstrap for the linearity test. We illustrate the use of xthenreg through a Monte Carlo simulation and an economic application.
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Hu, Yi, Dongmei Guo, Ying Deng, and Shouyang Wang. "Estimation of Nonlinear Dynamic Panel Data Models with Individual Effects." Mathematical Problems in Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/672610.

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This paper suggests a generalized method of moments (GMM) based estimation for dynamic panel data models with individual specific fixed effects and threshold effects simultaneously. We extend Hansen’s (Hansen, 1999) original setup to models including endogenous regressors, specifically, lagged dependent variables. To address the problem of endogeneity of these nonlinear dynamic panel data models, we prove that the orthogonality conditions proposed by Arellano and Bond (1991) are valid. The threshold and slope parameters are estimated by GMM, and asymptotic distribution of the slope parameters is derived. Finite sample performance of the estimation is investigated through Monte Carlo simulations. It shows that the threshold and slope parameter can be estimated accurately and also the finite sample distribution of slope parameters is well approximated by the asymptotic distribution.
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Sotima Jocelyn, KOUSSERE. "INFLATION GROWTH NEXUS IN WAEMU: A DYNAMIC PANEL THRESHOLD ANALYSIS." International Journal of Social Science and Economic Research 5, no. 12 (December 30, 2020): 3721–30. http://dx.doi.org/10.46609/ijsser.2020.v05i12.002.

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Zhao, Wei Tao, Tian Jun Yu, and Xiao Dong Yang. "Flutter Analysis of Viscoelastic Panels in Supersonic Flow." Advanced Materials Research 710 (June 2013): 256–59. http://dx.doi.org/10.4028/www.scientific.net/amr.710.256.

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In this paper, dynamic instability behavior of a linear viscoelastic panel in supersonic flow is investigated. The quasi-steady piston theory of supersonic flow is employed for the aerodynamic pressure. The partial differential governing equation of isotropic flat panel is derived by introducing viscoelastic structural damping based on Kelvins model. The panel governing equation is transformed into a set of ordinary differential equations via the Galerkin approach. First-order state equations are afterwards obtained and solved by means of a standard eigenvalue calculation. The dynamic instability of viscoelstic panels is predicted by the feature of characteristic roots. The phenomena of coupled-mode flutter without structural damping and single-mode flutter with structural damping induced by the supersonic flow are observed for the different dynamic pressure values. Results indicate that structural damping plays an important role for the stability of panels flutter. Flutter threshold keeps decreasing as viscoelastic structural damping is increased.
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Ramos-Herrera, María del Carmen, and María A. Prats. "Fiscal Sustainability in the European Countries: A Panel ARDL Approach and a Dynamic Panel Threshold Model." Sustainability 12, no. 20 (October 15, 2020): 8505. http://dx.doi.org/10.3390/su12208505.

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We analyze the fiscal sustainability hypothesis for a panel of 20 European Union countries from 2000 to 2019. In particular, we employ new econometric methodologies that, to the best of our knowledge, are applied for the first time to the study of sovereign fiscal policy sustainability in these economies. Specifically, we estimate the panel ARDL technique, distinguishing between short- and long-run coefficients because the order of integration of our variables is not the same. Moreover, a panel threshold model with endogeneity is considered to investigate whether, departing from a particular threshold, there is different behavior between the government primary balance and public debt, both taken as a ratio of potential GDP. Finally, the panel Granger causality test is implemented to determine the direction of causality or the existence of bidirectional causality.
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Tan, Sai. "The Dynamic Panels With Threshold Effect of China's OFDI on Host Country Technological Progress." International Journal of Information Systems in the Service Sector 14, no. 2 (April 2022): 1–12. http://dx.doi.org/10.4018/ijisss.290544.

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Using the dynamic panel threshold model and data of 41 countries along “the Belt and Road” from 2003 to 2017, this paper empirically tests the impact of China’s outward foreign direct investment (OFDI) on technological progress of these countries and its threshold effect. The results show that OFDI exerts different effects on technological progress of countries along the route within different thresholds range. Based on the classification of different country types, when FD is below than the threshold value, China’s OFDI in transitional and developing countries has no significant impact on their technological progress, while developed countries have a more significant positive correlation; other, when FD is higher than the threshold value, both types of countries are significantly positively correlated, and the coefficient is greater in developed countries than in transitional and developing countries. In further research, it is divided into two periods based on the time node of 2013.
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Kremer, Stephanie, Alexander Bick, and Dieter Nautz. "Inflation and growth: new evidence from a dynamic panel threshold analysis." Empirical Economics 44, no. 2 (March 14, 2012): 861–78. http://dx.doi.org/10.1007/s00181-012-0553-9.

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Dang, Viet Anh, Minjoo Kim, and Yongcheol Shin. "Asymmetric capital structure adjustments: New evidence from dynamic panel threshold models." Journal of Empirical Finance 19, no. 4 (September 2012): 465–82. http://dx.doi.org/10.1016/j.jempfin.2012.04.004.

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Sirag, Abdalla, Bolaji Tunde Matemilola, Siong Hook Law, and A. N. Bany-Ariffin. "Does environmental Kuznets curve hypothesis exist? Evidence from dynamic panel threshold." Journal of Environmental Economics and Policy 7, no. 2 (October 4, 2017): 145–65. http://dx.doi.org/10.1080/21606544.2017.1382395.

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Dissertations / Theses on the topic "Dynamic threshold panel"

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Vieira, Guilherme Cavalcante. "Convergence clubs in income in America: an approach through non-linear dynamic panel with variable threshold." Universidade Federal do CearÃ, 2009. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=3354.

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nÃo hÃ
The main objectives of this work are to test empirically the hypothesis of income convergence process among American countries, to classify this convergence process as either absolute or conditional and to determine if this process happens in either a linear or non-linear manner. Estimations were made through both TAR (threshold autoregressive) panel and linear autoregressive panel and the results were compared to each other. The sample of countries are composed by Argentina, Bolivia, Brazil, Canada, Chile, Colombia, Costa Rica, Dominican Republic, Ecuador, El Salvador, Guatemala, Honduras, Jamaica, Mexico, Nicaragua, Peru, Trinidad and Tobago, Uruguay, USA and Venezuela. The sample period is 1953-2003 and data are in annual basis. Results held for this sample show no evidence of convergence in both TAR and linear models. Additional estimations were made in sub-samples of countries that compose three American free trade agreements. The porpoise was testing two different hypotheses. The first one is that convergence process occurs in clubs. The second one is the theoretical hypothesis that foreign trade leads to convergence among countries involved in it. The three free trade agreements widened were Nafta, CAN and Mercosul. Results held for Nafta also show no evidence of convergence in both models. CANâs results show empirical evidence of convergence, as TAR model concludes for absolute convergence in one of two regimes. Results held for Mercosul sample show stronger evidence of convergence process. Both linear and TAR models conclude for absolute convergence, the former in both regimes. Even using a different methodology than conventional β-convergence and σ-convergence, results are in consonance with those found in the literature.
Este trabalho tem como objetivo principal testar empiricamente a hipÃtese de convergÃncia de renda entre os paÃses da AmÃrica, classificar esta possÃvel convergÃncia como absoluta ou condicional e checar se este processo se dà de forma linear ou nÃo-linear. As estimaÃÃes foram realizadas atravÃs da metodologia de painel dinÃmico nÃo-linear com variÃvel limiar (threshold) e painel dinÃmico linear e seus resultados foram contrapostos. Os paÃses selecionados para a amostra foram Argentina, BolÃvia, Brasil, CanadÃ, Chile, ColÃmbia, Costa Rica, RepÃblica Dominicana, Equador, El Salvador, Guatemala, Honduras, Jamaica, MÃxico, NicarÃgua, Peru, Trinidad e Tobago, Uruguai, EUA e Venezuela. O perÃodo amostral vai de 1953 a 2003 e os dados tÃm periodicidade anual. Os resultados obtidos para a amostra nÃo mostram evidÃncia do processo de convergÃncia em nenhum dos modelos, linear e nÃolinear. Com o objetivo adicional de testar a hipÃtese de convergÃncia em clubes e a hipÃtese teÃrica de que o comÃrcio externo leva ao processo de convergÃncia, foram realizadas estimaÃÃes adicionais em sub-amostras de paÃses separados pelo critÃrio da formaÃÃo de blocos de livre comÃrcio do continente americano. Os blocos estudados foram Nafta, CAN e Mercosul. Os resultados obtidos para o Nafta indicam ausÃncia de convergÃncia em ambos os modelos. Os resultados alcanÃados para o CAN mostram evidÃncia empÃrica do processo de convergÃncia. O modelo nÃo-linear conclui a favor da existÃncia de convergÃncia absoluta em um dos regimes. Os resultados para o Mercosul, por sua vez, mostram a mais forte evidÃncia em favor do processo de convergÃncia. Ambos os modelos concluem em favor da convergÃncia absoluta. No modelo nÃo-linear, os dois regimes admitem a convergÃncia absoluta. Mesmo ao se utilizar uma metodologia de estimaÃÃo diferente da abordagem convencional de β-convergÃncia e σ-convergÃncia, os resultados obtidos corroboram aqueles encontrados na literatura sobre o tema.
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Proaño, Christian R., Christian Schoder, and Willi Semmler. "Financial Stress, Sovereign Debt and Economic Activity in Industrialized Countries: Evidence from Dynamic Threshold Regressions." WU Vienna University of Economics and Business, 2014. http://epub.wu.ac.at/4085/1/wp167.pdf.

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We analyze how the impact of a change in the sovereign debt-to-GDP ratio on economic growth depends on the level of debt, the stress level on the financial market and the membership in a monetary union. A dynamic growth model is put forward demonstrating that debt affects macroeconomic activity in a non-linear manner due to amplifications from the financial sector. Employing dynamic country-specific and dynamic panel threshold regression methods, we study the non-linear relation between the growth rate and the debt-to-GDP ratio using quarterly data for sixteen industrialized countries for the period 1981Q1-2013Q2. We find that the debt-to-GDP ratio has impaired economic growth primarily during times of high financial stress and only for countries of the European Monetary Union and not for the stand-alone countries in our sample. A high debt-to-GDP ratio by itself does not seem to necessarily negatively affect growth if financial markets are calm. (authors' abstract)
Series: Department of Economics Working Paper Series
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Yan, Huijie. "Challenges of China’s sustainability : integrating energy, environment and health policies." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM1092.

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Dans le but de faire face aux défis interdépendants en termes d’épuisement des ressources énergétiques, de dégradation environnementale et des préoccupations de santé publique dans le contexte chinois en réponse au développement durable, nous nous concentrons sur l'étude des politiques en matière d’énergie, d’environnement et de santé en Chine. Dans le chapitre 1, nous donnons un aperçu des politiques chinoises en matière d’énergie, d’environnement et de santé au cours des 20 dernières années afin de connaître les orientations politiques futures auxquelles le gouvernement n'a pas donné une attention suffisante. Dans les trois chapitres suivants, nous proposons une série d'études empiriques afin de tirer quelques implications politiques utiles. Dans le chapitre 2, nous étudions l'impact de l'urbanisation, de l'adaptation de la structure industrielle, du prix de l'énergie et de l'exportation sur les intensités énergétiques agrégés et désagrégés des provinces. Dans le chapitre 3, nous étudions les facteurs qui expliquent la transition énergétique vers des combustibles propres des ménages ruraux. Dans le chapitre 4, nous examinons les effets conjoints des risques environnementaux, du revenu individuel, des politiques de santé sur l'état de santé des adultes chinois. En particulier, nos résultats empiriques suggèrent d’intégrer le développement urbain dans la stratégie d'économies d'énergie; de considérer des substitutions/complémentarités complexes parmi les sources d'énergie et entre l'énergie et l’alimentation pour les ménages ruraux; d’aligner les politiques environnementales, énergétiques et alimentaires avec les politiques de santé
With the purpose of coping with the intertwined challenges of energy depletion, environmental degradation and public health concerns in the Chinese-specific context in response to sustainable development, we focus on investigating China’s energy, environment and health policies. In chapter 1, we provide an overview of China’s energy, environment and health policies over the past 20 years in order to know about the future policy directions to which the government has not given a sufficient attention. In the following three chapters, we provide a series of empirical studies so as to derive some useful policy implications. In chapter 2, we investigate the impact of urbanization, industrial structure adjustment, energy price and export on provincial aggregate and disaggregate energy intensities. In chapter 3, we study the factors explaining the switches from dirty to clean fuel sources in rural households. In chapter 4, we examine the joint effects of environmental hazards, individual income and health policies on the health status of Chinese adults. Our empirical findings particularly suggest integrating urban development into the strategy of energy saving; considering the complex substitutions/complementarities among energy sources and between energy and food for rural households; aligning the environment, energy and food policies with health policies
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Diallo, Ibrahima Amadou. "Exchange rates policy and productivity." Thesis, Clermont-Ferrand 1, 2013. http://www.theses.fr/2013CLF10405/document.

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Cette thèse étudie comment le taux de change effectif réel (TCER) et ses mesures associées (volatilité du TCER et désalignement du TCER) affectent la croissance de la productivité totale des facteurs (CPTF). Elle analyse également les canaux par lesquels le TCER et ses mesures associées agissent sur la productivité totale des facteurs (PTF). La première partie étudie comment le TCER lui-Même, d'une part, et la volatilité du TCER, d'autre part, influencent la productivité. Une analyse du lien entre le niveau du TCER et la PTF dans le chapitre 1 indique qu'une appréciation de taux de change cause une augmentation de la PTF. Mais cet impact est également non- inéaire: en-Dessous du seuil, le TCER influence négativement la productivité tandis qu'au-Dessus du seuil il agit positivement. Les résultats du chapitre 2 illustrent que la volatilité du TCER affecte négativement la CPTF. Nous avons également constaté que la volatilité du TCER agit sur PTF selon le niveau du développement financier. Pour les pays modérément financièrement développés, la volatilité du TCER réagit négativement sur la productivité et n'a aucun effet sur la productivité pour les niveaux très bas et très élevés du développement financier. La deuxième partie examine les canaux par lesquels le TCER et ses mesures associées influencent la productivité. Les résultats du chapitre 3 illustrent que la volatilité du TCER a un impact négatif élevé sur l'investissement. Ces résultats sont robustes dans les pays à faible revenu et les pays à revenu moyens, et en employant une mesure alternative de volatilité du TCER. Le chapitre 4 montre que le désalignement du taux de change réel et la volatilité du taux de change réel affectent négativement les exportations. Il démontre également que la volatilité du taux de change réel est plus nocive aux exportations que le désalignement. Ces résultats sont corroborés par des résultats sur des sous-Échantillons de pays à bas revenu et à revenu moyen
This dissertation investigates how the real effective exchange rate (REER) and its associated asurements (REER volatility and REER misalignment) affect total factor productivity growth (TFPG). It also analyzes the channels through which the REER and its associated measurements act on total factor productivity (TFP). The first part studies how the REER itself, on the one hand, and the REER volatility, on the other hand, influence productivity. An analysis of the link between the level of REER and TFP in chapter 1 reveals that an exchange rate appreciation causes an increase of TFP. But this impact is also nonlinear: below the threshold, real exchange rate influences negatively productivity while above the threshold it acts positively. The results of chapter 2 illustrate that REER volatility affects negatively TFPG. We also found that REER volatility acts on TFP according to the level of financial development. For moderately financially developed countries, REER volatility reacts negatively on productivity and has no effect on productivity for very low and very high levels of financial development. The second part examines the channels through which the REER and its associated measurements influence productivity. The results of chapter 3 illustrate that the exchange rate volatility has a strong negative impact on investment. This outcome is robust in low income and middle income countries, and by using an alternative measurement of exchange rate volatility. Chapter 4 show that both real exchange rate misalignment and real exchange rate volatility affect negatively exports. It also demonstrates that real exchange rate volatility is more harmful to exports than misalignment. These outcomes are corroborated by estimations on subsamples of Low- ncome and Middle-Income countries
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Ribeiro, António Pinto. "A dynamic panel threshold model to analyse The investment-growth nexus on a sample of advanced economies, emerging markets and developing countries." Master's thesis, 2017. http://hdl.handle.net/10362/22285.

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This paper studies the Investment-Growth nexus, resorting to a Dynamic Panel Threshold model, for a sample of 12 Advanced, Emerging Markets and Developing Economies. The model estimated a 2.042% and 7.603% inflation threshold for Advanced Economies and for the Emerging Markets and Developing Economies, respectively. The impact of investment on GDP growth is significant and positive for Emerging Markets and Developing Economies in both inflation regimes, whereas for Advanced Economies positive significance is only observed when inflation is above the threshold.
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Lay, Sok Heng. "Three essays in applied econometrics." Thesis, 2018. http://hdl.handle.net/2440/113387.

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This dissertation includes three chapters. Chapter 2 focuses on the threshold effect of credit on economic development of 17 developed countries throughout history from the late 1800s. Chapter 3 re-investigates the role of foreign aid in developing countries, emphasising the diminishing returns, and Chapter 4 offers evidence on the interest rate threshold effect on housing prices in 17 advanced economies from 1870 to 2013. Chapter 2 investigates the impact of bank credit on economic growth using the dynamic threshold panel model on 17 developed countries for the period from the late 1800s to the most recent period (2013). Recent papers suggest that credit ha a non-linear effects on economic growth in the long-run, where the turning points are identified around 80-100% of GDP. This study aims to capture the behaviour of the short-run impact of credit-to-GDP ratio on economic growth, particularly in advanced economies. The results show that there exists credit threshold effects, in which 135% of credit to GDP is the threshold level. An inverted U-shaped relationship between bank credit and economic growth appears to be statistically significant in the sample period after World War II. Chapter 3 re-examines the impact of foreign aid on economic development using a sample of 71 developing countries for the period from 1967 to 2010. It contributes to the existing literature of the diminishing returns of foreign aid, taking into account the presence of heterogeneity of country's growth process. First, when applying panel data estimation techniques, the results are in-line with previous findings presenting diminishing returns of foreign aid. This is consistent with the concept of absorptive capacity of recipient countries where aid is no longer effective when it reaches a certain threshold. Second, under the Finite Mixture Model in which heterogeneity of a country's growth process is taken into account based on the similarity of the conditional distributions of the growth rates, there exists evidence supporting the existence of two groups of countries, each with its own distinct growth regime. The diminishing returns of foreign aid belong to one group, consisting of 20 countries. There is no statistical evidence to support the diminishing returns for the other group of countries. This implies that the assessment on aid effectiveness should take heterogeneity assumption into account. Chapter 4 investigates the relationship between interest rates and house prices using data from 17 advanced economies for the period from the late 1800s to 2013, based on the recent argument that the linkage follows non-linear assumptions. This study aims to explore whether there exists an interest rate threshold when following a dynamic threshold panel model. The empirical analyses provide evidence that there exists an interest rate threshold, and these findings reveal that expansionary monetary policy below the threshold level is associated with housing price bubbles; beyond the threshold level, further contractionary monetary policy tends to slow down the housing price bubbles, where the effects have become stronger and statistically significant after World War II.
Thesis (Ph.D.) -- University of Adelaide, School of Economics , 2018
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Book chapters on the topic "Dynamic threshold panel"

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Talent Zungu, Lindokuhle, Yolanda Nomusa Nkomo, Bongumusa Prince Makhoba, and Lorraine Greyling. "The Nonlinear Dynamic Impact of Development-Inequality in the Prudential Policy Regime in Emerging Economies: A Bayesian Spatial Lag Panel Smooth Transition Regression Approach." In Business, Management and Economics. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.107212.

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A panel data analysis of the nonlinear dynamics of economic-development in a macroprudential policy regime was conducted in a panel of 25 emerging markets who were grouped together based on their regions: 10 African countries, 8 Asian countries, and 7 European countries covering the period 2000–2019. The paper explored the validity of the Kuznets hypothesis in a prudential policy regime as well as the threshold level at which economic-development reduces inequality, using the Bayesian Spatial Lag Panel Smooth Transition Regression model. This model was adopted due to its ability to address the problems of endogeneity, heterogeneity, and time and spatial-varying in a nonlinear framework. We found evidence of a non-linear effect between the two variables, where the threshold was found to be US$15,900, above which reduces inequality in the African emerging markets; while for emerging Asian and emerging European markets, we documented a U-shape relationship with an optimal level of economic-development estimated at US$17,078 and US$19,000, respectively. Unconventional and macroprudential policies were found to trigger development-inequality relationships. The result supported the S-curve relationship in these regions. Our evidence largely suggests that policymakers ought to formulate policies aiming at increasing agricultural productivity through land redistribution, investment, trade, and promoting human development. Policymakers should also be cautious when implementing macroprudential and unconventional monetary policies.
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Wang, Yu, Haoyang Gao, Haomin Du, Kaifeng Wu, and Yuqing Chen. "The Evaluation of Financial Ecological Environment and Optimization Research in Liaoning Province." In Sustainability in the Entrepreneurial Ecosystem, 105–31. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3495-3.ch005.

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This chapter constructs a system of financial ecological environment that is based on the multiple indicators: economic foundation, financial development, and institutional environment of 14 cities in Liaoning Province from 2008 to 2014. In addition, it supplements a measurement of influence of financial quality and uses the factor analysis method and panel threshold model to explore the dynamic evolution characteristics and optimization route of financial ecological environment. The empirical study shows that (1) the whole trend performs as an inversed U shape with the characteristics of rising at first and then declining and its influential mechanisms are disparate in different periods; (2) the financial ecological environment qualities of coastal cities rank in the upper and middle reaches of the overall rankings, while the qualities of inland cities comparatively fall behind; (3) the impact of urban financial ecological environment on economic growth in Liaoning Province presents as a non-linear single threshold, and the threshold values are 0.48, 0.52, 0.46, and 0.41, respectively.
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"measurements. This paper is confined to the different forms of sampling odourous gases for olfactometric measurements and the problems involved. It refers to existing guidelines for olfactometric measurements in the countries of the EEC, as well. 2. TYPES OF SAMPLING Samples of odourous gas may be collected in unconcentrated or concentrated form. Concentrated sampling is usually neces­ sary when gas chromatography or other chemical analytical meth­ ods are to be used. Unconcentrated sampling is provided if o-dour threshold concentrations are required (2). Depending on the type of olfactometer used dynamic sam­ pling or static sampling are provided. The principle of dynam­ ic sampling is shown in Figure 1. It requires a part-flow of the odourous gas to be continoulsy extracted from the source and subsequently directed to the olfactometer. This sampling method implies that the measurements are carried out close to the source. An advantage of the method is that there is the possibility of controlling a process, directly, and in case of the break-down of the process this can be noticed right away. A disadvantage of the dynamic method is that odour sources that are not readily accessible require a relatively great ef­ fort in order to install the olfactometer and suitable sam­ pling pipes which often should be insulated or heated to avoid adsorption or condensation (3). When static sampling is used a partial stream of the o-dourous air is collected in a sampling vessel. Samples are taken from this vessel or bag to dilute the odourous air for the olfactometer using syringes or on-line tubings. When using this method odour measurement with the panel can be carried out at any arbitrary location, if the vessel is a transport­ able one. An example for static sampling is given in Figure 2. 3. PROBLEMS OF SAMPLING the main problems encountered when sampling odourous air derive from surface effects of the sampling tubes and vessels, namely by - adsorption, - desorption, and - condensation. This depends mainly on the material of the tube, the vessel or the bag (adsorption) or on the nature of the gas, whether it is hot and/or containes a high amount of humidity (condensa­ tion). On the other hand the sample can be altered by trace components bleeding from the material of the walls of the ves­ sel or the tube (desorption). The following factors are to be observed for valid static sampli ng. aTTTToTce of_m£teri aj_ For tWe sampling of odourous gases glas vessels, stain­ less steel tanks (4) and flexible plastic bags (5) were tested. The initial concentrations of the test gases decrease consider­ ably with storage time in glass and steel vessels. In recent years bags made of Polyethylene(6), Teflon (3) and Tedlar (7), (8) were usually used. Figure 3 shows a graph from SCHUETZLE." In Odour Prevention and Control of Organic Sludge and Livestock Farming, 59. CRC Press, 1986. http://dx.doi.org/10.1201/9781482286311-18.

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Conference papers on the topic "Dynamic threshold panel"

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Wahab, Hishamuddin Abdul. "Capital thresholds and risk-taking behavior among Malaysian banks: An application of non-dynamic panel threshold model." In THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5121140.

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Ismail, Siti Fatimah, and Siok Kun Sek. "Investigating the effects of fiscal and monetary policy on economic performance: Dynamic panel threshold regression analysis." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND TECHNOLOGY 2018 (MATHTECH2018): Innovative Technologies for Mathematics & Mathematics for Technological Innovation. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5136390.

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Davies, Andrew G., Arnold R. Cowen, and Tom J. C. Bruijns. "Psychophysical evaluation of the image quality of a dynamic flat-panel digital x-ray image detector using the threshold contrast detail detectability (TCDD) technique." In Medical Imaging '99, edited by Elizabeth A. Krupinski. SPIE, 1999. http://dx.doi.org/10.1117/12.349639.

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Bal, Harun, Ayat Abdelrahim Suliman Esaa, and Esma Erdoğan. "The Foreign Debt and Economic Growth in Sub-Saharan Africa." In International Conference on Eurasian Economies. Eurasian Economists Association, 2022. http://dx.doi.org/10.36880/c14.02622.

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The growing levels of external debt in developing countries are increasingly a worldwide problem, particularly in Sub-Saharan African countries, where the expanding portfolio of foreign debts, debt servicing rates, and debt overhang cause alarm and global concern. The likelihood of relatively good outcomes of the interaction between external debt and economic growth is based on the government's attempts to maintain a sustainable debt-to-GDP ratio, a low budget deficit, and that the external debt is utilized primarily for capital investments. Under other conditions, the government would confront a circumstance in which accumulated foreign debt levels stifle economic progress, particularly when debt levels rise over time and are poorly managed. In this context, this study aims to examine the association between foreign debt and economic growth in Sub Sahara African countries during the period from 1980 to 2019. The study employed the Dynamic Panel Threshold Regression analysis to investigate the differential impact of foreign debt on economic growth below and above a threshold. The empirical results highlight the existence of a nonlinear relationship between foreign debt on economic growth above the debt threshold during the examined period. Empirical evidence suggests significant policy prescriptions; Sub Sahara African governments should use solid methods of generating domestic income to supplement outside sources of funding, such as the inclusion of domestic informal businesses on a shared cutting-edge platform to ensure successful domestic revenue collection.
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Lua, James, and E. Thomas Mover. "First-Excursion Probability and Response Peak Distribution of a Nonlinear Structure Under Non-Gaussian Non-Stationary Loadings." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0392.

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Abstract Probabilistic methods have been used recently for the reliability assessment and design of ship structures because of the presence of various uncertainties in structural configuration, material properties, and environmental and operating conditions. Among these uncertainties, random dynamic loads induced by either sea waves or slamming play a significant role in reliability-based ship structural design. The present state-of-the-art probabilistic method for ship design is based on a linear structural response model subjected to stationary Gaussian random processes. However, under extreme operating conditions, the ship structural response may not be linear due to the initiation and evolution of multiple local damage, such as local plastic deformation, stiffener tripping, panel buckling, or fracture. In addition, the complexity of fluid-structure interaction phenomena may render the assumptions on the loading process (stationary and Gaussian) invalid. Under this study, we developed a simulation based probabilistic analysis framework for a nonlinear dynamic structural system under non-Gaussian non-stationary loadings. The general simulation based probabilistic analysis framework (SIMLAB) is formulated by integrating 1) random variable generating modules; 2) random process generation modules; and 3) user selected deterministic solver and limit state function. The developed random process simulation module is able to generate a Gaussian, non-Gaussian, stationary, or non-stationary process. To demonstrate the applicability of the developed tool for a structural dynamic system with random variables and random processes, a free-free beam subjected to a sea wave induced random process is solved by integrating a structural dynamics code, DYNA3D, with the developed probabilistic analysis framework. The limit state function is formulated based on the first crossing of a beam Von Mises stress at an integration point above a safe threshold. In order to validate the accuracy of SIMLAB, a linear beam structure subjected to a stationary Gaussian process is considered first and the simulated statistical distributions of peak and extreme response variables are compared with analytical predictions. The effect of material nonlinearity on probability of failure and peak statistics is explored by using an elastoplastic beam model subjected to a random excitation. Results on probability of failure and peak statistics are compared with the corresponding statistical models for a linear structure. The great versatility of the simulation based probabilistic analysis framework provides us a solid foundation for the development of more advanced probabilistic analysis tools for reliability-based ship design.
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Gao, Shangjun, Zhefeng YU, and Hai Wang. "Comparison of Delamination Threshold Load Prediction on Low Velocity Impact of Composite Panels with Different Thickness." In 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-0961.

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Arena, Andrea, and Walter Lacarbonara. "Dynamic Morphing of Elastic Plates via Principal Parametric Resonance." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22470.

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Abstract Principal parametric resonances of elastic plates actuated by periodic in-plane stresses effected by embedded piezoelectric wires are investigated to describe the morphing scenarios of flexible, ultra-lightweight panels. A mechanical model of elastic plate including geometric nonlinearities and the parametric actuation provided by the piezoelectric wires, is adopted to formulate the nonlinear equation of motion. A bifurcation analysis is carried out by means of an asymptotic approach based on the method of multiple scales leading to a comprehensive parametric study on the effect of the wires width on the morphing regions (i.e., parametric instability regions) associated with the principal parametric resonances. The threshold voltages triggering the onset of the principal parametric resonances of the lowest three symmetric modes are also calculated as a function of the wires size so as to determine the voltage requirements for the morphing activation.
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White, Jonathan R., Douglas E. Adams, Shankar Sundararaman, and Carlos Escobar. "Design of Experiment Issues in Material Component Damage Detection Including Sensor Mass and Footprint Studies." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41538.

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In structural health monitoring, the reliability of measured data for use in damage detection is greatly influenced by the sensor characteristics. Specific issues related to design of experiments in structural health monitoring are analyzed including sensor attachment, mass, frequency range, and footprint. A circular plate instrumented with various sensors and attachment methods (adhesive, stud) is used to study the effects of sensor bond on dynamic measurements. Attachment types are shown to have different amounts of measurement variability using an ANalysis Of VAriance technique. Differences in the amount of measurement variability lead to different damage detection thresholds. A validated sandwich metallic honeycomb panel finite element model is also used to conduct a numerical sensitivity analysis. Sensor mass is shown to reduce the sensitivity of damage detection for realistic sensor masses. The sensor footprint is shown to become an issue, by an acceleration field analysis, when the wavelength of the frequency of excitation is on the order of the sensor diameter.
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Schmid, Peter, and Emmanuel de Langre. "Transient Growth Before Coupled-Mode Flutter." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32200.

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Transient growth of energy is known to occur even in stable dynamical systems due to the non-normality of the underlying linear operator. This has been the object of growing attention in the field of hydrodynamic stability, where linearly stable flows may be found to be strongly nonlinearly unstable as a consequence of transient growth. We apply these concepts to the generic case of coupled-mode flutter, which is a mechanism with important applications in the field of fluid-structure interactions. Using numerical and analytical approaches on a simple system with two degrees of freedom and anti-symmetric coupling we show that the energy of such a system may grow by a factor of more than 10, before the threshold of coupled-mode flutter is crossed. This growth is a simple consequence of the non-orthogonality of modes arising from the non-conservative forces. These general results are then applied to three cases in the field of flow-induced vibrations: (a) panel flutter (two-degrees-of-freedom model, as used by Dowell (1995)), (b) follower force (two-degrees-of-freedom model as used by Bamberger (1981)), and (c) fluid-conveying pipes (two-degree-of-freedom model, as used by Benjamin (1961) and Paidoussis (1998)), for different mass ratios. For these three cases we show that the magnitude of transient growth of mechanical energy before the onset of coupled-mode flutter is substantial enough to cause a significant discrepancy between the apparent threshold of instability and the one predicted by linear stability theory.
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Tandon, G. P., J. Kang, R. Y. Kim, and T. J. Whitney. "Monitoring of Impact Damage in Composites Using Wave Propagation Methods." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43567.

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Composite structures in an aircraft are susceptible to impact damage, which can occur during manufacture, service or maintenance. Recent studies show that impacts with ground support equipment are the major cause of in-service damage to composite structures in an aircraft. Other sources of impact include collision with birds, runway stones or ballistic impacts. These impacts can produce various types of damage, including fiber breakage, matrix cracking, delamination, and interfacial debonding. The results of such damage can have detrimental effects on the overall structural performance and safety. A comprehensive structural health monitoring (SHM) system provides a means to significantly reduce life-cycle costs of aerospace vehicles by providing accurate diagnostics and prognostics of structural damage to reduce unnecessary inspections and support vehicle life extension. The main objective of this paper is to develop a methodology to detect and identify the damage sources and their severity in composite laminates subjected to low velocity impact using wave propagation methods. When damage occurs in a material due to mechanical load or impact, an acoustic wave emits and propagates through the material. The material chosen for this work is a 12″ long and 12″ wide, +/− 60 degree braided composite. Two edges of the plate were fixed by clamping the plate between two steel bars and secured by bolts spaced 1″ apart, while the other two edges were free, as shown in Figure 1. In order to characterize the wave propagation and damage process, two resonant type AE sensors and four accelerometers were mounted on the specimen. The specimen was then tapped lightly with a hand-held acoustic impact hammer at several different chosen locations, and stress wave signals were monitored using a commercial dynamic signal process system which contains software capable of detecting impact source location. The impact force was kept to a minimum initially such that no damage occurred in the specimen. After this initial test, the specimens were subjected to low velocity impact using drop weight impact machine with 0.5 inch spherical indenter. The impact force was increased by a number of times until substantial damage observed while monitoring signals generated from the specimen. After each incremental impact, both acoustic hammer tapping test and nondestructive inspection such as ultrasonic C-scan and/or X-ray radiography were carried out to delineate the damage source and severity. Figure 2 is an example of C-Scan of the composite plate after a series of impacts with various drop heights. Recorded signals were analyzed to determine the origin of the source and its severity. The impact hammer produced both an extensional wave and a flexural wave in these composite plate specimens. Because of dispersive characteristics of the flexural wave, the first arrival time of the extensional wave was used for source location algorithm. Besides the source location, discussion will be given on parameters such as amplitude, energy, frequency, number of events related with impact force, and damage size in detail. As an example, Figure 3 is a plot of the measured damage size as a function of the dead-weight drop height for tests conducted on various panels. As expected, the size of the damage increases with amount of drop height (or impact energy). Thus, based on C-scan measurements, critical threshold impact height of approximately 5″ is identified for “any measurable” damage to occur. The corresponding magnitude of the impact energy is ∼ 108 in-lb. On the other hand, the critical threshold for any visual damage to be detected is approximately 502 in-lb for the laminate material investigated. In summary, a methodology has been developed for estimating the damage severity from the amplitude of the signal received. The approach entails constructing design curves relating the size of the damage to impact energy, and establishing relationships between impact energy and the magnitude of the signal. These relationships can then be used to predict the estimated size of the damage based on the amplitude of the arriving signal. A critical threshold impact energy has been identified below which “no measurable” damage occurs. Three regions of damage growth, namely, a decreasing rate with magnitude of impact energy. A constant damage growth rate characterizes the steady-state region, while damage size increases almost exponentially with impact energy in the tertiary region potentially leading to catastrophic failure.
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