scholarly journals SimBetaReg Web-Tool: The Easiest Way to Implement the Beta and Simplex Regression Models

Symmetry ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2437
Author(s):  
Emrah Altun ◽  
Mahmoud El-Morshedy
Keyword(s):  
Civic Engagement ◽  
Educational Attainment ◽  
Operating Systems ◽  
Voter Turnout ◽  
Regression Models ◽  
Oecd Countries ◽  
Web Tool ◽  
Software Support ◽  
Response Variable

When the response variable is defined on the (0,1) interval, the beta and simplex regression models are commonly used by researchers. However, there is no software support for these models to make their implementation easy for researchers. In this study, we developed a web-tool, named SimBetaReg, to help researchers who are not familiar with programming to implement the beta and simplex regression models. The developed application is free and works independently from the operating systems. Additionally, we model the incidence ratios of COVID-19 with educational and civic engagement indicators of the OECD countries using the SimBetaReg web-tool. Empirical findings show that when the educational attainment, years in education, and voter turnout increase, the incidence ratios of the countries decrease.

scholarly journals PERBANDINGAN REGRESI ZERO INFLATED POISSON (ZIP) DAN REGRESI ZERO INFLATED NEGATIVE BINOMIAL (ZINB) PADA DATA OVERDISPERSION (Studi Kasus: Angka Kematian Ibu di Provinsi Bali)

2016 ◽  
Vol 5 (4) ◽  
pp. 133
Author(s):  
NI PUTU PREMA DEWANTI ◽  
MADE SUSILAWATI ◽  
I GUSTI AYU MADE SRINADI
Keyword(s):  
Mortality Rate ◽  
Maternal Mortality ◽  
Regression Models ◽  
Negative Binomial ◽  
Mean Value ◽  
Response Variable ◽  
Maternal Mortality Rate ◽  
Excess Zeros ◽  
Zero Values ◽  
Independent Variable

Poisson regression is a nonlinear regression which is often used for count data and has equidispersion assumption (variance value equal to mean value). However in practice, equidispersion assumption is often violated. One of it violations is overdispersion (variance value greater than the mean value). One of the causes of overdipersion is excessive number of zero values on the response variable (excess zeros). There are many methods to handle overdispersion because of excess zeros. Two of them are Zero Inflated Poisson (ZIP) regression and Zero Inflated Negative Binomial (ZINB) regression. The purpose of this research is to determine which regression models is better in handling overdispersion data. The data that can be analyzed using the ZIP and ZINB regression is maternal mortality rate in the Province of Bali. Maternal mortality rate data has proportion of zeros value more than 50% on the response variable.  In this research, ZINB regression better than ZIP regression for modeling maternal mortality rate. The independent variable that affects the number of maternal mortality rate in the Province of Bali  is the percentage of mothers who carry a pregnancy visit, with ZINB regression models and . 

scholarly journals Explaining Turnout Decline in Post-Communist Countries: The Impact of Migration

2017 ◽  
Vol 62 (2) ◽  
pp. 29-60
Author(s):  
Mircea Comşa
Keyword(s):  
Voter Turnout ◽  
Multivariate Regression ◽  
Regression Models ◽  
Strong Support ◽  
Parliamentary Elections ◽  
Percentage Points ◽  
Communist Countries ◽  
The Impact ◽  
New Hypothesis ◽  
External Migration

Abstract Turnout decline in former communist countries has attracted a great deal of scholarly attention. In this paper, I re-test some of the previous hypotheses on new data and I propose a new hypothesis that considers the impact of external migration. Using multivariate regression models on a dataset of 272 presidential and parliamentary elections held in 30 post-communist countries between 1989 and 2012, I have found strong support for the “migration hypothesis”: other things being equal, an increase of migration rate by 1 percentage point reduces voter turnout by around 0.4 percentage points. Most of the previous hypotheses related to causes of turnout decline are supported too.

scholarly journals Participatory Budgeting as a Method for Improving Public Spaces in Major Polish Cities

2021 ◽  
Author(s):  
A. Szczepańska ◽  
M. Zagroba ◽  
K. Pietrzyk
Keyword(s):  
Civic Engagement ◽  
Public Space ◽  
Voter Turnout ◽  
Community Involvement ◽  
Local Governments ◽  
Local Community ◽  
Planning Process ◽  
Local Governance ◽  
Public Spaces ◽  
Governance System

AbstractOne of the forms of public participation in the local governance system is civic budgeting which actively engages residents in developing projects and voting on the submitted proposals. Civic budgeting aims to involve local communities in deciding how a defined portion of public resources should be allocated by means of a democratic debate. Public spaces are the essence of urban life; therefore, the aim of the study was to analyze civic budget records relating to public spaces. The study was conducted in the largest Polish cities. The research involved quantitative and comparative analytical methods. The analysis focused on community involvement and local community needs, represented by a wide array of public space-related project categories. The analyzed cities were ranked according to their civic engagement, and the resulting classification was compared with voter turnout during polls on the proposals adopted as part of the CB process. The results revealed considerable diversity in both civic engagement and local needs, and they could be used to develop guidelines for designing public spaces in the urban planning process. The present findings are also a valuable source of information for local governments in their efforts to improve the functioning, attractiveness and development of user-friendly spaces in citizen-oriented cities.

scholarly journals Multilevel Analysis of Civic Engagement and Effectiveness of Energy Transition Policy in Seoul: The Seoul Eco-Mileage Program

2020 ◽  
Vol 12 (23) ◽  
pp. 9905
Author(s):  
Jaewan Kim ◽  
Tae Yong Jung ◽  
Yong Gun Kim
Keyword(s):  
Civic Engagement ◽  
Co2 Emissions ◽  
Voter Turnout ◽  
Social Trust ◽  
Housing Prices ◽  
Energy Transition ◽  
Interactive Effects ◽  
Level 1 ◽  
Transition Policy ◽  
Level 2

The Seoul Eco-mileage Program is a representative project of the One Less Nuclear Power Plant (OLNPP) scheme, which addresses the energy transition policy of Seoul aiming to reduce CO2 emissions. Unlike other governmental projects, the success of this program requires the direct participation of citizens. This study investigates the influence of civic engagement in participant towns (Level 1: 423 administrative towns) and districts (Level 2: 25 administrative districts) on CO2 emissions reduction (kg CO2/membership) throughout 2017 in Seoul via multilevel modeling. Our results show that town-level civic engagement, as measured by voter turnout, is positively correlated with the performance of the Eco-mileage Program. Moreover, when civic engagement factors (social trust, volunteer activities, and citizen participation) at Level 1 interact with Level 2 factors (housing prices, motivation of district leaders, and energy-saving practices) in each district, we observed cross-level interactive effects on CO2 reduction. Among Level 2 factors, the representative institutional capacities, such as financial independence and ordinance, showed positive correlations with the performance efficacy of the energy transition policy of Seoul.

Inaccurate, Exceptional, One-Sided or Irrelevant? The Debate about the Alleged Decline of Social Capital and Civic Engagement in Western Societies

2004 ◽  
Vol 35 (1) ◽  
pp. 149-167 ◽  
Author(s):  
DIETLIND STOLLE ◽  
MARC HOOGHE
Keyword(s):  
Social Capital ◽  
Civic Engagement ◽  
Voter Turnout ◽  
Front Page ◽  
Age Cohorts ◽  
Younger Age ◽  
Significant Downward Trend ◽  
American Society ◽  
The 1960S ◽  
Community Projects

In his 1790 address to the Académie Française in Paris, Condorcet noted that every new generation has a tendency to accuse itself of being less civic-minded than previous cohorts. Two centuries later, this argument has once again regained front-page status. The debate is currently focused on the question of whether or not social capital and civic engagement are declining in Western societies. In his academic best-seller Bowling Alone, Robert Putnam argues that younger age cohorts, socialized in the prosperous economic conditions of the 1960s and onwards, are less inclined to engage in community life and in politics, and also less likely to trust their fellow citizens. By contrast, the ‘long civic generation’, born roughly between 1910 and 1940, is portrayed as much more motivated in these respects. They readily volunteer in community projects, read newspapers and take on more social responsibilities. In this view, a process of generational replacement is responsible for a steady decline of social capital and civic engagement in American society. As the long civic generation is replaced by younger age cohorts, the social capital stock of American communities slowly diminishes. The indicators used to substantiate this claim are numerous and diverse: measures for voter turnout, attendance of club meetings, generalized trust, the number of common family dinners, the number of card games played together, and even respect for traffic rules. All of these attitudes and behaviours, it is argued, depict a significant downward trend.Although Putnam is by far the most vocal of all scholars in the ‘decline of social capital’ choir, he certainly is not the only author describing an erosion of traditional societal relations.

scholarly journals How to Test for Goodness of Fit in Ordinal Logistic Regression Models

2017 ◽  
Vol 17 (3) ◽  
pp. 668-686 ◽  
Author(s):  
Morten W. Fagerland ◽  
David W. Hosmer
Keyword(s):  
Regression Models ◽  
Goodness Of Fit ◽  
Logistic Models ◽  
Ratio Test ◽  
Response Variable ◽  
Logistic Regression Models ◽  
Explanatory Variables ◽  
Goodness Of Fit Tests ◽  
Interaction Terms ◽  
Different Types

Ordinal regression models are used to describe the relationship between an ordered categorical response variable and one or more explanatory variables. Several ordinal logistic models are available in Stata, such as the proportional odds, adjacent-category, and constrained continuation-ratio models. In this article, we present a command (ologitgof) that calculates four goodness-of-fit tests for assessing the overall adequacy of these models. These tests include an ordinal version of the Hosmer–Lemeshow test, the Pulkstenis–Robinson chi-squared and deviance tests, and the Lipsitz likelihood-ratio test. Together, these tests can detect several different types of lack of fit, including wrongly specified continuous terms, omission of different types of interaction terms, and an unordered response variable.

Sign in / Sign up

Export Citation Format

Share Document