scholarly journals Spatial Economics, Urban Informatics, and Transport Accessibility

2021 ◽  
pp. 115-132
Author(s):  
Ying Jin
Keyword(s):  
Spatial Econometrics ◽  
Fixed Effects ◽  
New Technologies ◽  
Ordinary Least Squares ◽  
Dynamic Panel Data ◽  
Urban Structure ◽  
Transport Accessibility ◽  
City Regions ◽  
Intellectual Context ◽  
Central Pillar

AbstractOne central pillar in the development of urban science which is key to the development of simulation of models of urban structure is spatial econometrics. In this chapter, we outline the way in which ideas pertaining to accessibility which we define conventionally, as in transport economics, as the relative nearness and size of locations to one another, can be embedded in a wider econometric framework. We are thus able to explore how GDP (gross domestic product) of different locations is influenced by different spatial investments. To illustrate this, we first outline the intellectual context, followed by a review of the most relevant econometric models. We examine the data required for such models and look at various quantifications in terms of elasticities of business productivity with respect to transport accessibility, using ordinary least squares, time-series fixed effects, and a range of dynamic panel-data models which narrow down the valid range of estimates. We then show how the model is applied to Guangdong province (with its connections to Hong Kong and Macau), which is one of the three major mega-city regions and a leading adopter of new technologies in China.

Does the effect of media influence suicide rates?

2015 ◽  
Vol 42 (3) ◽  
pp. 415-432 ◽  
Author(s):  
Paulo Roberto Amorim Loureiro ◽  
Tito Belchior Silva Moreira ◽  
Adolfo Sachsida
Keyword(s):  
Fixed Effects ◽  
Estimation Method ◽  
Ordinary Least Squares ◽  
Dynamic Panel Data ◽  
Contagion Effect ◽  
Content Type ◽  
Suicide Rates ◽  
The Media ◽  
The Impact ◽  
Media Index

Purpose – An important question about the determinants of suicide refers to the role of media. In this context, the purpose of this paper is to investigate if there are groups of people who are susceptible to suicide as a result of the effect of media. Design/methodology/approach – Using data for the 27 Brazilian states, for the period 1980-2009, to investigate the impact of the media index, unemployment rate, divorce rate and other explanatory variables on the rate of suicide by gender and age. First of all, the authors estimated a model of fixed effects panel. The second estimation method makes use of dynamic panel data with instrumental variables. Each of the results generated by these two estimated models is compared with those obtained by ordinary least squares in stacked data. The authors develop a model about the suicide epidemic where the media works as a contagion effect to disseminate suicidal behavior. Findings – The authors observe that, the media index is the third motivator of suicide, after unemployment and violence, for all groups of people. The estimated model shows that 1 percent increase in media index increases suicide rate of young men (aged between 15 and 29 years) at 4.22 percent. Research limitations/implications – The empirical results are limited because the authors developed a media index based on quantities of televisions and radios. The authors suggest other research include social media in the index as well. Originality/value – This result seems to suggest a type of contagion effect on suicide rates, which reinforces the results obtained by Cutler et al. (2001).

The antecedents of corporate social and environmental responsibility discourse in Pakistan: Multiple theoretical perspectives

2019 ◽  
Author(s):  
Muhammad Farhan Basheer ◽  
Saqib Muneer ◽  
Muhammad Atif ◽  
Zubair Ahmad
Keyword(s):  
Institutional Theory ◽  
Least Squares ◽  
Agency Theory ◽  
Stakeholder Theory ◽  
Fixed Effects ◽  
Ordinary Least Squares ◽  
Environmental Responsibility ◽  
Legitimacy Theory ◽  
Discourse Practices ◽  
Corporate Social

The primary purpose of the study is to explore the antecedents of corporate social and environmental responsibilities discourse practices in Pakistan. The industry sensitivity, government shareholding, block holder ownership, print media coverage, environmental monitoring programs, and strategic posture are examined as antecedents of corporate social and environmental responsibility practices. A multidimensional theoretical perspective namely stakeholder theory (ST), institutional theory (IT), agency theory (PAT), and legitimacy theory (LT) is used to conceptualize the phenomena. All the four of perspective theories (positive accounting theory, legitimacy theory, stakeholder theory, and institutional theory) claim that there are ‘pressures’ that impact the organization. How much ‘pressures’ are recognized, managed or satisfied differs from one perspective of theory to the other. To estimate the data, this study uses three sets of panel data models, i.e., the pooled ordinary least squares model (POLS) or constant coefficients model, fixed effects (FEM or least squares dummy variable/LSDV model) and random-effects models. The final sample is comprising of 173 firms over eight years from 2011 to 2017. The firms listed in PSX are included in the sample. Overall the findings of the study have shown agreement with the proposed results. However, the study has provided more support to the institutional theory and stakeholder theory. Keywords: Corporate Social Responsibility, Stakeholders Theory, Agency Theory, Pakistan

scholarly journals Analysis of the New Kuznets Relationship: Considering Emissions of Carbon, Methanol, and Nitrous Oxide Greenhouse Gases—Evidence from EU Countries

2021 ◽  
Vol 18 (6) ◽  
pp. 2907
Author(s):  
Mara Madaleno ◽  
Victor Moutinho
Keyword(s):  
Nitrous Oxide ◽  
Least Squares ◽  
Fixed Effects ◽  
Ghg Emissions ◽  
Ordinary Least Squares ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Long Run ◽  
Short Run ◽  
The Eu

Decreased greenhouse gas emissions (GHG) are urgently needed in view of global health threat represented by climate change. The goal of this paper is to test the validity of the Environmental Kuznets Curve (EKC) hypothesis, considering less common measures of environmental burden. For that, four different estimations are done, one considering total GHG emissions, and three more taking into account, individually, the three main GHG gases—carbon dioxide (CO2), nitrous oxide (N2O), and methane gas (CH4)—considering the oldest and most recent economies adhering to the EU27 (the EU 15 (Old Europe) and the EU 12 (New Europe)) separately. Using panel dynamic fixed effects (DFE), dynamic ordinary least squares (DOLS), and fully modified ordinary least squares (FMOLS) techniques, we validate the existence of a U-shaped relationship for all emission proxies considered, and groups of countries in the short-run. Some evidence of this effect also exists in the long-run. However, we were only able to validate the EKC hypothesis for the short-run in EU 12 under DOLS and the short and long-run using FMOLS. Confirmed is the fact that results are sensitive to models and measures adopted. Externalization of problems globally takes a longer period for national policies to correct, turning global measures harder and local environmental proxies more suitable to deeply explore the EKC hypothesis.

scholarly journals Fixed Effects Vector Decomposition: A Magical Solution to the Problem of Time-Invariant Variables in Fixed Effects Models?

2011 ◽  
Vol 19 (2) ◽  
pp. 135-146 ◽  
Author(s):  
William Greene
Keyword(s):  
Fixed Effects ◽  
Ordinary Least Squares ◽  
Fe Model ◽  
Real World Data ◽  
Problem Of Time ◽  
Dummy Variable ◽  
Vector Decomposition ◽  
Step Procedure ◽  
Time Invariant ◽  
Subsequent Literature

Plümper and Troeger (2007) propose a three-step procedure for the estimation of a fixed effects (FE) model that, it is claimed, “provides the most reliable estimates under a wide variety of specifications common to real world data.” Their fixed effects vector decomposition (FEVD) estimator is startlingly simple, involving three simple steps, each requiring nothing more than ordinary least squares (OLS). Large gains in efficiency are claimed for cases of time-invariant and slowly time-varying regressors. A subsequent literature has compared the estimator to other estimators of FE models, including the estimator of Hausman and Taylor (1981) also (apparently) with impressive gains in efficiency. The article also claims to provide an efficient estimator for parameters on time-invariant variables (TIVs) in the FE model. None of the claims are correct. The FEVD estimator simply reproduces (identically) the linear FE (dummy variable) estimator then substitutes an inappropriate covariance matrix for the correct one. The consistency result follows from the fact that OLS in the FE model is consistent. The “efficiency” gains are illusory. The claim that the estimator provides an estimator for the coefficients on TIVs in an FE model is also incorrect. That part of the parameter vector remains unidentified. The “estimator” relies upon a strong assumption that turns the FE model into a type of random effects model.

Teacher-principal race and teacher satisfaction over time, region

2017 ◽  
Vol 55 (6) ◽  
pp. 624-639
Author(s):  
Samantha L. Viano ◽  
Seth B. Hunter
Keyword(s):  
Job Satisfaction ◽  
Fixed Effects ◽  
White Teachers ◽  
Ordinary Least Squares ◽  
Teacher Job Satisfaction ◽  
Southern Region ◽  
Content Type ◽  
Black Principals ◽  
The Relationship ◽  
Over Time

Purpose The purpose of this paper is to replicate prior findings on teacher-principal race congruence and teacher job satisfaction and extend the literature by investigating trends over time and if the relationship between race congruence and teacher job satisfaction differs by principal race and region. Design/methodology/approach The study sample comes from four waves of cross-sectional data, the nationally representative Schools and Staffing Survey, administered between 2000 and 2012. The analysis is conducted using ordinary least squares and school-year fixed effects with a comprehensive set of covariates. Findings The relationship between race congruence and teacher job satisfaction is attenuating over time and is likely explained by the lower job satisfaction of white teachers who work for black principals. Some evidence indicates teacher-principal race congruence has greater salience in the Southern region of the country. Find evidence that teachers with race-congruent principals report more workplace support than their non-race congruent colleagues. Research limitations/implications Future studies should investigate why racial congruence has more salience in the Southern region of the country and for white teachers who work with black principals. At the same time, results indicate that teacher-principal race congruence might no longer be a determinant of teacher job satisfaction, although further studies should continue investigating this relationship. Originality/value Findings on the changing nature of the relationship between principal-teacher race congruence and teacher job satisfaction over time as well as the differing nature of race congruence in the Southern region of the country are both novel findings in the literature.

scholarly journals Profitability Determinants of Big European Banks

2021 ◽  
Vol 10 (2) ◽  
pp. 39-56
Author(s):  
Vesna Karadžić ◽  
Nikola Đalović
Keyword(s):  
Fixed Effects ◽  
Negative Impact ◽  
Ordinary Least Squares ◽  
Annual Data ◽  
The European Union ◽  
Macroeconomic Factors ◽  
Panel Models ◽  
Econometric Methods ◽  
Gdp Growth Rate ◽  
The Impact

Abstract The subject of research in this paper is the profitability of the biggest banks in the European financial market, some of which operate in Montenegro. The profitability of banks is influenced by a large number of factors, including internal banking and external macroeconomic factors. The aim of this paper is to use statistical and econometric methods to examine which factors and with what intensity affect the profitability of large banks in Europe. The empirical analysis used highly balanced panel models with annual data on 47 large banks from 14 European countries over the period 2013-2018. Three static panel models were estimated and evaluated (pooled ordinary least squares, model with fixed effects and model with random effects), as well as dynamic model utilizing general methods of moments. The POLS model was chosen as the best, confirming that all macroeconomic factors have a statistically significant impact on the profitability of big banks, while the impact of internal factors, which are controlled by the bank’s management, is not significant. GDP growth rate, inflation rate and market concentration have a positive effect on profitability, while the membership of the European Union has a negative impact on profit, meaning that banks with headquarters outside the EU are more profitable.

scholarly journals Aspects Regarding Prophylaxis of Scoliosis Attitudes by Specific Means of Basketball

GYMNASIUM ◽  
2017 ◽  
Vol XVIII (1) ◽  
Author(s):  
Nicoleta Leonte ◽  
Ofelia Popescu ◽  
Adrian Pricop ◽  
Narcis Neagu
Keyword(s):  
Young People ◽  
Adverse Effects ◽  
Physical Exercise ◽  
New Technologies ◽  
Health And Safety ◽  
Youth Health ◽  
Professional Career ◽  
Central Pillar ◽  
Prevention Methods ◽  
Light Deficiency

This paper subscribes the efforts to promote youth health and the prevention of osteo-musculo-articular disorders in their professional career. Physical exercise represents the central pillar in preventing the spine deficiency attitudes. Rendering efficient the prevention methods for the deficient postural attitudes requires an effort to anticipate the potential adverse effects of the new technologies on the health and safety of the young people. The paper’s aim is to make known the diversification of the kinetic and prophylactic means and of those for recovering the light deficiency posture attitudes (scoliosis) by developing programs which use basketball means. Enriching the kinetic programs through various basketball means, constitutes a necessity for executing, developing and improving the normal motor functions, but also for the re-educating the deficient ones.

scholarly journals IMPACT OF HUMAN CAPITAL DEVELOPMENT ON PRODUCTIVITY GROWTH IN EU MEMBER STATES

2018 ◽  
Vol 16 (0) ◽  
pp. 1-12 ◽  
Author(s):  
Alma Mačiulytė-Šniukienė ◽  
Kristina Matuzevičiūtė
Keyword(s):  
Human Capital ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Labour Productivity ◽  
Ordinary Least Squares ◽  
Fixed Effects Model ◽  
Education Expenditure ◽  
Member States ◽  
Eu Member States ◽  
The Impact

In this research, we investigate the impact of human capital on labour productivity in European Union member states using panel data analysis. Results of the paper are estimated using the Pooled ordinary least squares (OLS) and Fixed effects model (FEM). The results show that human capital is positively significant in improving the growth of labour productivity in the EU. Our estimates also suggest that the impact occurs after three times lags in case of education expenditure.

Dynamic virtual infrastructure benchmarking: DynaVIBe

2010 ◽  
Vol 10 (4) ◽  
pp. 600-609 ◽  
Author(s):  
R. Sitzenfrei ◽  
S. Fach ◽  
M. Kleidorfer ◽  
C. Urich ◽  
W. Rauch
Keyword(s):  
Case Studies ◽  
Distribution Systems ◽  
Water Distribution ◽  
New Technologies ◽  
Study Data ◽  
Data Availability ◽  
Urban Structure ◽  
Real World Data ◽  
Virtual Infrastructure

In environmental engineering, identification of problems and their solutions as well as the identification of the relevant processes involved is often done by means of case study analyses. By researching the operation of urban drainage and water distribution systems, this methodology is suited to evaluate new technologies, strategies or measures with regard to their impact on the overall processes. However, data availability is often limited and data collection and the development of new models are both costly and time consuming. Hence, new technologies, strategies or measures can only be tested on a limited number of case studies. In several environmental disciplines a few virtual case studies have been manually developed to provide data for research tasks and these are repeatedly used in different research projects. Efforts have also been invested in tackling limited data availability with the algorithmic generation of virtual case studies having constant or varying boundary conditions. The data provided by such tools is nevertheless only available for a certain instance in time. With DynaVIBe (Dynamic Virtual Infrastructure Benchmarking), numerous virtual case studies are algorithmically generated with a temporal development of the urban structure (population and land use model) and infrastructure. This provides a methodology that allows for the analysis of future scenarios on a spatio-temporal city scale. By linking a population model with DynaVIBe's infrastructure models, socio-economics impacts on infrastructure and system coherences can be investigated. The problematic of limited case study data is solved by the algorithmic generation of an unlimited number of virtual case studies, which are dynamic over time. Additionally, this methodology can also be applied on real world data for probabilistic future scenario analysis.

THE INFORMATION BOUND OF A DYNAMIC PANEL LOGIT MODEL WITH FIXED EFFECTS

2001 ◽  
Vol 17 (5) ◽  
pp. 913-932 ◽  
Author(s):  
Jinyong Hahn
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimator ◽  
Fixed Effects ◽  
Dynamic Panel Data ◽  
Consistent Estimator ◽  
Likelihood Estimator ◽  
Dynamic Panel ◽  
Conditional Maximum Likelihood ◽  
Information Bound ◽  
Conditional Maximum

In this paper, I calculate the semiparametric information bound in two dynamic panel data logit models with individual specific effects. In such a model without any other regressors, it is well known that the conditional maximum likelihood estimator yields a √n-consistent estimator. In the case where the model includes strictly exogenous continuous regressors, Honoré and Kyriazidou (2000, Econometrica 68, 839–874) suggest a consistent estimator whose rate of convergence is slower than √n. Information bounds calculated in this paper suggest that the conditional maximum likelihood estimator is not efficient for models without any other regressor and that √n-consistent estimation is infeasible in more general models.

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