scholarly journals Quantile Regression for Panel Data: An Empirical Approach for Knowledge Spillovers Endogeneity

2017 ◽  
Vol 9 (7) ◽  
pp. 106 ◽  
Author(s):  
Luigi Aldieri ◽  
Concetto Paolo Vinci
Keyword(s):  
Theoretical Model ◽  
Panel Data ◽  
Quantile Regression ◽  
Knowledge Spillovers ◽  
Spillover Effect ◽  
Technology Spillovers ◽  
Significant Heterogeneity ◽  
The Core ◽  
Endogenous Regressors ◽  
Different Levels

The aim of this paper is to investigate the extent to which knowledge spillovers effects are sensitive to different levels of innovation. We develop a theoretical model in which the core of spillover effect is showed and then we implement the empirical model to test for the results. In particular, we run the quantile regression for panel data estimator (Baker, Powell, & Smith, 2016), to correct the bias stemming from the endogenous regressors in a panel data sample. The findings identify a significant heterogeneity of technology spillovers across quantiles: the highest value of spillovers is observed at the lowest quartile of innovation distribution. The results might be interpreted to provide some useful implications for industrial policy strategy.

scholarly journals Determinants of capital structure of listed firms in Vietnam: A quantile regression approach

2017 ◽  
Vol 24 (02) ◽  
pp. 114-131
Author(s):  
Canh Nguyen Thi ◽  
Liem Nguyen Thanh ◽  
Son Tran Hung
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Quantile Regression ◽  
Linear Relationship ◽  
Firm Characteristics ◽  
Conditional Quantile ◽  
Listed Firms ◽  
Panel Data Methods ◽  
Regression Approach ◽  
Different Levels

This study empirically examines the link between firm characteristics and leverage using the data of Vietnamese non-financial listed firms from 2006 to 2015. In addition to traditional panel data methods, we employ a conditional quantile regression that unveils the behavior of regressors throughout the leverage distribution. The results confirm the non-linear relationship between firm characteristics and leverage at different levels of debt.

Innovation and Performance: The Impact of Investments in R&D According to the Different Levels of Productivity of Firms

2019 ◽  
Vol 16 (05) ◽  
pp. 1950036
Author(s):  
Carlos Alano Soares de Almeida ◽  
Jansen Maia Del Corso ◽  
Leonardo Andrade Rocha ◽  
Wesley Vieira da Silva ◽  
Claudimar Pereira da Veiga
Keyword(s):  
Panel Data ◽  
Quantile Regression ◽  
Operating Profit ◽  
And Performance ◽  
The Impact ◽  
The Relationship ◽  
D Investment ◽  
Measures Of Performance ◽  
Different Levels ◽  
The Eu

The objective of this paper is to verify how investments in R&D influence the measures of performance (sales and operating profit) of companies. Based on the EU Industrial R&D Investment Scoreboard, a 2003–2013 information panel was developed for 548 companies. Regression with panel data and Quantile Regression were used. The results indicate that investments in R&D positively influence sales and operating profit of companies as a whole, varies according to the R&D intensity when companies are analyzed in groups and that the distance from the frontier influences the relationship between R&D and performance. The companies of the upper quantiles have better relation R&D and profit than the companies more distant from the frontier. Companies with higher profit can transform R&D investments more efficiently into profit.

Ways and Voices in the Psychoanalysis of Links According to Enrique Pichon-Rivière

2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Rosa Jaitin
Keyword(s):  
Couple Therapy ◽  
Clinical Observation ◽  
Clinical Work ◽  
The Core ◽  
The Social ◽  
The 1960S ◽  
Definition Of ◽  
Relationship Of ◽  
The Voice ◽  
Different Levels

This article covers several stages of the work of Pichon-Rivière. In the 1950s he introduced the hypothesis of "the link as a four way relationship" (of reciprocal love and hate) between the baby and the mother. Clinical work with psychosis and psychosomatic disorders prompted him to examine how mental illness arises; its areas of expression, the degree of symbolisation, and the different fields of clinical observation. From the 1960s onwards, his experience with groups and families led him to explore a second path leading to "the voices of the link"—the voice of the internal family sub-group, and the place of the social and cultural voice where the link develops. This brought him to the definition of the link as a "bi-corporal and tri-personal structure". The author brings together the different levels of the analysis of the link, using as a clinical example the process of a psychoanalytic couple therapy with second generation descendants of a genocide within the limits of the transferential and countertransferential field. Body language (the core of the transgenerational link) and the couple's absences and presence during sessions create a rhythm that gives rise to an illusion, ultimately transforming the intersubjective link between the partners in the couple and with the analyst.

Measurements and Modeling of Ingress in a New 1.5-Stage Turbine Research Facility

2016 ◽  
Vol 139 (1) ◽  
Author(s):  
Marios Patinios ◽  
James A. Scobie ◽  
Carl M. Sangan ◽  
J. Michael Owen ◽  
Gary D. Lock
Keyword(s):  
Theoretical Model ◽  
Gas Turbines ◽  
Test Facility ◽  
Radial Clearance ◽  
Operating Life ◽  
The Core ◽  
Wide Range ◽  
Purge Flow ◽  
Rotor Disk ◽  
Engine Components

In gas turbines, hot mainstream flow can be ingested into the wheel-space formed between stator and rotor disks as a result of the circumferential pressure asymmetry in the annulus; this ingress can significantly affect the operating life, performance, and integrity of highly stressed, vulnerable engine components. Rim seals, fitted at the periphery of the disks, are used to minimize ingress and therefore reduce the amount of purge flow required to seal the wheel-space and cool the disks. This paper presents experimental results from a new 1.5-stage test facility designed to investigate ingress into the wheel-spaces upstream and downstream of a rotor disk. The fluid-dynamically scaled rig operates at incompressible flow conditions, far removed from the harsh environment of the engine which is not conducive to experimental measurements. The test facility features interchangeable rim-seal components, offering significant flexibility and expediency in terms of data collection over a wide range of sealing flow rates. The rig was specifically designed to enable an efficient method of ranking and quantifying the performance of generic and engine-specific seal geometries. The radial variation of CO2 gas concentration, pressure, and swirl is measured to explore, for the first time, the flow structure in both the upstream and downstream wheel-spaces. The measurements show that the concentration in the core is equal to that on the stator walls and that both distributions are virtually invariant with radius. These measurements confirm that mixing between ingress and egress is essentially complete immediately after the ingested fluid enters the wheel-space and that the fluid from the boundary layer on the stator is the source of that in the core. The swirl in the core is shown to determine the radial distribution of pressure in the wheel-space. The performance of a double radial-clearance seal is evaluated in terms of the variation of effectiveness with sealing flow rate for both the upstream and the downstream wheel-spaces and is found to be independent of rotational Reynolds number. A simple theoretical orifice model was fitted to the experimental data showing good agreement between theory and experiment for all cases. This observation is of great significance as it demonstrates that the theoretical model can accurately predict ingress even when it is driven by the complex unsteady pressure field in the annulus upstream and downstream of the rotor. The combination of the theoretical model and the new test rig with its flexibility and capability for detailed measurements provides a powerful tool for the engine rim-seal designer.

Research on Green Supply Chain’s Coordination Based on Knowledge Spillover Effect

2012 ◽  
Vol 472-475 ◽  
pp. 2910-2913
Author(s):  
Yong Ye ◽  
Shao Wen Li ◽  
Gui Gen Miao
Keyword(s):  
Supply Chain ◽  
Knowledge Sharing ◽  
Knowledge Spillovers ◽  
Risk Control ◽  
Spillover Effect ◽  
Knowledge Spillover ◽  
Compensation Mechanism ◽  
Coordination Problem ◽  
Benefit Evaluation ◽  
Mechanism Research

GSCM and its members of sharing resources generate knowledge spillover phenomenon within innovation activities.Considering the scarcity and publicity characteristics of knowledge,it puts forwards the driving factors including knowledge sharing cognition,technology gap, the economy and geography space, spill risk control and spill achievements’compensation.According to supply chain benefit coordination problem,it adds members’ participation and contribution factor for Shapley amendment model.Then it verifies rationality of the model by empirical analysis,which would be helpful for further knowledge spillovers benefit evaluation and compensation mechanism research.

scholarly journals Dynamic Quantile Panel Data Analysis of Stock Returns Predictability

2016 ◽  
Vol 8 (2) ◽  
pp. 115 ◽  
Author(s):  
Bülent Guloglu ◽  
Sinem Guler Kangalli Uyar ◽  
Umut Uyar
Keyword(s):  
Panel Data ◽  
Quantile Regression ◽  
Stock Returns ◽  
Conditional Distribution ◽  
Extreme Values ◽  
Dynamic Panel Data ◽  
Regression Technique ◽  
Heterogeneous Structure ◽  
Dynamic Panel ◽  
Different Parts

<p>This paper analyses the effect of financial ratios on stock returns using quantile regression for dynamic panel data with fixed effects. Eighty three firms of manufacturing industry, which were traded on the Borsa Istanbul for 2000-2014 period, are covered in the study. The most of financial variables have heterogeneous structure so they generally include extreme values. Thus, panel quantile regression technique, suggested by Koenker (2004), is used. Since the technique yields robust estimator in the case of extreme values the Gaussian estimators will be biased and not efficient. The sensitivity of relationship, on the other hand, can be studied for different parts of the stock returns’ conditional distribution by using quantile regression technique. However, because of that the lagged of dependent variable is used as an explanatory variable in dynamic panel models, fixed effect estimators will be biased. Thereby, in this study the instrumental variable approach suggested by Chernozhukov and Hansen (2006) is used to produce unbiased and consistent estimators.</p>The results show that the stock returns respond to the changes on the financial leverage ratio, the dividend yield, the market-to-book value ratio, financial beta and the total active profitability variables differently for the different parts of the stock returns’ conditional distribution. They also indicate that, at high quantiles, return fluctuations in the current period will be more effective for investors’ transaction attitudes on stocks for the next period.

Measurements and Modelling of Ingress in a New 1.5-Stage Turbine Research Facility

2016 ◽  
Author(s):  
Marios Patinios ◽  
James A. Scobie ◽  
Carl M. Sangan ◽  
J. Michael Owen ◽  
Gary D. Lock
Keyword(s):  
Theoretical Model ◽  
Gas Turbines ◽  
Test Facility ◽  
Radial Clearance ◽  
Operating Life ◽  
The Core ◽  
Wide Range ◽  
Purge Flow ◽  
Engine Components ◽  
First Time

In gas turbines, hot mainstream flow can be ingested into the wheel-space formed between stator and rotor discs as a result of the circumferential pressure asymmetry in the annulus; this ingress can significantly affect the operating life, performance and integrity of highly-stressed, vulnerable engine components. Rim seals, fitted at the periphery of the discs, are used to minimise ingress and therefore reduce the amount of purge flow required to seal the wheel-space and cool the discs. This paper presents experimental results from a new 1.5-stage test facility designed to investigate ingress into the wheel-spaces upstream and downstream of a rotor disc. The fluid-dynamically-scaled rig operates at incompressible flow conditions, far removed from the harsh environment of the engine which is not conducive to experimental measurements. The test facility features interchangeable rim-seal components, offering significant flexibility and expediency in terms of data collection over a wide range of sealing-flow rates. The rig was specifically designed to enable an efficient method of ranking and quantifying the performance of generic and engine-specific seal geometries. The radial variation of CO2 gas concentration, pressure and swirl is measured to explore, for the first time, the flow structure in both the upstream and downstream wheel-spaces. The measurements show that the concentration in the core is equal to that on the stator walls and that both distributions are virtually invariant with radius. These measurements confirm that mixing between ingress and egress is essentially complete immediately after the ingested fluid enters the wheel-space and that the fluid from the boundary-layer on the stator is the source of that in the core. The swirl in the core is shown to determine the radial distribution of pressure in the wheel-space. The performance of a double radial-clearance seal is evaluated in terms of the variation of effectiveness with sealing flow rate for both the upstream and the downstream wheel-spaces and is found to be independent of rotational Reynolds number. A simple theoretical orifice model was fitted to the experimental data showing good agreement between theory and experiment for all cases. This observation is of great significance as it demonstrates that the theoretical model can accurately predict ingress even when it is driven by the complex unsteady pressure field in the annulus upstream and downstream of the rotor. The combination of the theoretical model and the new test rig with its flexibility and capability for detailed measurements provides a powerful tool for the engine rim-seal designer.

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