Political Generations and Electoral Change in Canada

This article lays out the elementary logic of age structures in party preference data and proposes a simple estimation model with demographic and historical elements. As voters age their preferences intensify. But they do not intensify much and generational differences in the direction of party preferences are correspondingly weak. The Canadian electorate does not seem all that strongly anchored by the accumulated experience of the individuals that make it up. The major source of long-term electoral change, therefore, is conversion in the existing electorate. Consideration is given to how distinctive the Canadian pattern is.

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The impact of bank-specific and macroeconomic variables on profitability of Islamic rural bank in Indonesia

JURNAL ILMIAH EKONOMI ISLAM ◽

10.29040/jiei.v5i3.635 ◽

2019 ◽

Vol 5 (3) ◽

Author(s):

Muhammad Sanusi

Keyword(s):

Banking Sector ◽

Time Series Data ◽

Series Data ◽

Estimation Model ◽

Policy Makers ◽

Vector Error Correction ◽

Macroeconomic Variables ◽

Vector Error ◽

The Impact

This paper investigates the impact of bank-specific and macroeconomic variables on the profitability of Islamic rural bank (BPRS) in Indonesia. Using monthly time series data from January 2010 - December 2018. The estimation model used is a vector error correction model to analyze the long-term and short-term relationships between bank-specific and macroeconomic variables on the profitability of Islamic rural bank. The results showed that CAR and LnTA had a significant positive relationship, while NPF, BOPO and IPI had a negative and significant relationship to the profitability of Islamic rural banks. But FDR and Inflation variables are not significantly related to the profitability of Islamic rural bank. The results leave implications for policy makers, investors and banking sector managers. Based on evidence that bank profitability is more influenced by internal banks (as specific as banks), this research can help Islamic rural banks to help them understand which factors are important to be analyzed to obtain higher profitability.

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Generational Gaps in Media Trust and its Antecedents in Europe

The International Journal of Press/Politics ◽

10.1177/19401612211039440 ◽

2021 ◽

pp. 194016122110394

Author(s):

Anna Brosius ◽

Jakob Ohme ◽

Claes H. de Vreese

Keyword(s):

Negative Correlation ◽

Generational Differences ◽

Political Trust ◽

Media Bias ◽

Political Interest ◽

Strongly Correlated ◽

Strong Negative Correlation ◽

Media Trust ◽

Original Survey

We test generational differences in media trust and its antecedents, including political trust, interest, and orientation, as well as perceptions of media inaccuracy and media bias. We rely on original survey data from ten European countries, collected in 2019. We find no differences in the levels of media trust between generations, but we find that key correlates of media trust relate differently to it in different generations. For example, political interest is more strongly correlated with media trust for Millennials than for other generations. Perceptions of bias and inaccuracy have a strong negative correlation with media trust overall, but it is stronger for older generations. These results suggest, that in the long term, societal developments, and in particular debates about media bias and misinformation may impact media trust of young generations differently as they grow older—however, our data give no indication of that creating generational gaps in media trust.

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Precipitation Forecast Based on WA-SVM Theory

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.518-523.4039 ◽

2012 ◽

Vol 518-523 ◽

pp. 4039-4042

Author(s):

Zhen Min Zhou

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Wavelet Analysis ◽

Precipitation Forecast ◽

Support Vector ◽

Estimation Model ◽

Original Time Series ◽

Set Up ◽

Original Time

In order to improve the precision of medium-long term rainfall forecast, the rainfall estimation model was set up based on wavelet analysis and support vector machine (WA-SVM). It decomposed the original rainfall series to different layers through wavelet analysis, forecasted each layer by means of SVM, and finally obtained the forecast results of the original time series by composition. The model was used to estimate the monthly rainfall sequence in the watershed. Comparing with other method which only uses support vector machine(SVM), it indicates that the estimated accuracy was improved obviously.

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Long Term Orientation in China: Generational Differences and Cultural Measurement Standards

Academy of Management Proceedings ◽

10.5465/ambpp.2020.11739abstract ◽

2020 ◽

Vol 2020 (1) ◽

pp. 11739

Author(s):

Douglas Chun ◽

Zhen Zhang ◽

Issam Ghazzawi ◽

Yeri Cho

Keyword(s):

Generational Differences ◽

Measurement Standards

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Long-Term Changes in Age Structures of a Naturalized Population of Freshwater Turtle, Red-Eared Slider Trachemys scripta elegans

Current Herpetology ◽

10.5358/hsj.37.106 ◽

2018 ◽

Vol 37 (2) ◽

pp. 106-113 ◽

Cited By ~ 1

Author(s):

Hideki Noda ◽

Kyohsuke Ohkawara

Keyword(s):

Trachemys Scripta ◽

Freshwater Turtle ◽

Trachemys Scripta Elegans ◽

Long Term Changes ◽

Age Structures

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Critical Elections, Partisan Realignment, and Long-Term Electoral Change in American Politics

Oxford Bibliographies Online Datasets ◽

10.1093/obo/9780199756223-0246 ◽

2018 ◽

Author(s):

Edward G. Carmines ◽

Eric R. Schmidt

Keyword(s):

American Politics ◽

Electoral Change ◽

Partisan Realignment

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Model for Estimation Urban Transportation Supply-Demand Ratio

Mathematical Problems in Engineering ◽

10.1155/2015/502739 ◽

2015 ◽

Vol 2015 ◽

pp. 1-12

Author(s):

Chaoqun Wu ◽

Yulong Pei ◽

Jingpeng Gao

Keyword(s):

Transport System ◽

Theoretical Basis ◽

Policy Making ◽

Urban Transportation ◽

Urban Transport ◽

Real System ◽

Estimation Model ◽

Short Supply ◽

Long Term Observation

The paper establishes an estimation model of urban transportation supply-demand ratio (TSDR) to quantitatively describe the conditions of an urban transport system and to support a theoretical basis for transport policy-making. This TSDR estimation model is supported by the system dynamic principle and the VENSIM (an application that simulates the real system). It was accomplished by long-term observation of eight cities’ transport conditions and by analyzing the estimated results of TSDR from fifteen sets of refined data. The estimated results indicate that an urban TSDR can be classified into four grades representing four transport conditions: “scarce supply,” “short supply,” “supply-demand balance,” and “excess supply.” These results imply that transport policies or measures can be quantified to facilitate the process of ordering and screening them.

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