Residential Mobility in Dutch Housing Markets

1986 ◽  
Vol 18 (6) ◽  
pp. 763-788 ◽  
Author(s):  
W A V Clark ◽  
M C Deurloo ◽  
F M Dieleman
Keyword(s):  
Housing Market ◽  
Explanatory Power ◽  
Parameter Estimates ◽  
Logit Analysis ◽  
Logit Models ◽  
Independent Variables ◽  
Regional Effects ◽  
Relative Contribution ◽  
Dutch Housing ◽  
The Relationship

A one percent stratified random sample of all Dutch households (comprising 62 000 households) is used to examine mobility in the Dutch housing market. Two techniques, proportional reduction in uncertainty (PRU), and logit analysis are used to evaluate the relative contribution of independent variables in explaining mobility across the tenure types and by housing market regions. The PRU technique is used to select the best variables and to simplify the categories of those variables before logit analyses. Given a reduced set of variables and combinations of categories, logit models are utilized to provide parameter estimates of the contributions of the independent variables. The PRU technique shows that it is possible to make considerable simplifications in the combinations of categories for variables, and the logit models (for owners, public renters, and private renters) indicate distinct differences in the combinations of variables which are most appropriate in each of these sectors. In particular, the logit analysis shows that the relationship between age and mobility is almost linear, but between income and mobility it is curvilinear, and that evaluating interaction effects adds significantly to our understanding of the reason to move or to stay. The models show that it is necessary to treat the three tenure sectors separately, even though age, just as we expected, dominates all sectors in terms of its explanatory power. Although there are not large regional effects, the models change for different regions of the country.

Social indicators and psychiatric admission rates: a case-register study in the Netherlands

1991 ◽  
Vol 21 (1) ◽  
pp. 177-184 ◽  
Author(s):  
Sjoerd Sytema
Keyword(s):  
Relative Risk ◽  
Social Indicators ◽  
The Other ◽  
Logit Models ◽  
Need For Care ◽  
Psychiatric Admission ◽  
Case Register ◽  
Independent Variables ◽  
Admission Rates ◽  
The Relationship

SYNOPSISEnvironmental as well as individual socio-demographic and illness characteristics are related to the risk of admission. This paper addresses the problem of the interrelationships of these factors to admission rates. Using the Groningen Psychiatric Case Register, admission rates (during 1986 and 1987) from 34 administrative areas were calculated. Logit models were fitted in order to test the relationship between the relative risk of being admitted and sex, age, marital status, diagnosis, urbanization and distance from facilities. The effect of urbanization remains under the control of the other independent variables. The concept of ‘need for care’, related to ‘true’ and ‘treated’ incidence, is discussed.

Bias in the Estimation of Functional Relationships from Time Series Data

1985 ◽  
Vol 42 (1) ◽  
pp. 147-149 ◽  
Author(s):  
Carl J. Walters
Keyword(s):  
Time Series ◽  
Measurement Errors ◽  
Time Series Data ◽  
Series Data ◽  
Parameter Estimates ◽  
Natural Experiments ◽  
Independent Variables ◽  
Functional Relationships ◽  
Stock Recruitment ◽  
The Relationship

Functional relationships, such as stock–recruitment curves, are generally estimated from time series data where natural "random" factors have generated both deviations from the relationship and also informative variation in the independent variables. Even in the absence of measurement errors, such natural experiments can lead to severely biased parameter estimates. For stock–recruitment models, the bias is misleading for management: the stock will appear too productive when it is low, and too unproductive when it is large. The likely magnitude of such biases can and should be determined for any particular case by Monte Carlo simulations.

scholarly journals The impact of organizational culture on innovation for the development of tourism SMEs in the municipality of Caborca, Sonora

2019 ◽  
pp. 1-11
Author(s):  
Javier Saucedo-Monarque ◽  
Oscar Ernesto Hernández-Ponce ◽  
Luis Enrique Valdez-Juárez
Keyword(s):  
Organizational Culture ◽  
Explanatory Power ◽  
Measurement Instrument ◽  
Logit Analysis ◽  
Chi Square ◽  
Proposed Model ◽  
Independent Variable ◽  
The Impact ◽  
The Relationship ◽  
Structured Questionnaire

The results presented in this study related the factor of organizational culture with innovation for the development of small tourist businesses (SMEs) in the municipality of Caborca, Sonora. For which an exploratory analysis of the model, was made to subsequently analyze the Association of variables through the model of the Chi-square and thus be able to check the predictive and explanatory power of the same by means of Probit and Logit analysis. The collection of data was used as measurement instrument a structured questionnaire was administered to managers or entrepreneurs of tourism SMEs in the municipality of Caborca, Sonora. Where was the reliability of the instrument for measuring, the R² and significance of the model Chi square statistical analysis was used to identify the relationship and association between the variables of the proposed model, obtaining the coefficient Gamma with a strong correlation between the variables, as well as Gamma, Probit and Logit values, acceptable values for the relationship between the dependent variable and the independent variable was observed. A higher rate and robustness of prediction of the variables with acceptable significance was also obtained.

scholarly journals The importance of common and the irrelevance of rare species for partition the variation of community matrix: implications for sampling and conservation

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Leandro Schlemmer Brasil ◽  
Thiago Bernardi Vieira ◽  
André Felipe Alves Andrade ◽  
Rafael Costa Bastos ◽  
Luciano Fogaça de Assis Montag ◽  
...  
Keyword(s):  
Rare Species ◽  
Explanatory Power ◽  
Common Species ◽  
Spatial Filters ◽  
Community Matrix ◽  
Spatial Gradients ◽  
Relative Contribution ◽  
Model Residuals ◽  
The Relationship ◽  
Very High

AbstractIn community ecology, it is important to understand the distribution of communities along environmental and spatial gradients. However, it is common for the residuals of models investigating those relationships to be very high (> 50%). It is believed that species’ intrinsic characteristics such as rarity can contribute to large residuals. The objective of this study is to test the relationship among communities and environmental and spatial predictors by evaluating the relative contribution of common and rare species to the explanatory power of models. Our hypothesis is that the residual of partition the variation of community matrix (varpart) models will decrease as rare species get removed. We used several environmental variables and spatial filters as varpart model predictors of fish and Zygoptera (Insecta: Odonata) communities in 109 and 141 Amazonian streams, respectively. We built a repetition structure, in which we gradually removed common and rare species independently. After the repetitions and removal of species, our hypothesis was not corroborated. In all scenarios, removing up to 50% of rare species did not reduce model residuals. Common species are important and rare species are irrelevant for understanding the relationships among communities and environmental and spatial gradients using varpart. Therefore, our findings suggest that studies using varpart with single sampling events that do not detect rare species can efficiently assess general distributional patterns of communities along environmental and spatial gradients. However, when the objectives concern conservation of biodiversity and functional diversity, rare species must be carefully assessed by other complementary methods, since they are not well represented in varpart models.

scholarly journals Workforce as an Important Factor in Iran’s Economic Development

2011 ◽  
Vol 1 (2) ◽  
pp. 60-66
Author(s):  
Safdari Mehdi
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Human Capital ◽  
Economic Development ◽  
Explanatory Power ◽  
Ordinary Least Squares ◽  
Independent Variables ◽  
Percent Change ◽  
Dependent Variables ◽  
The Relationship

To reach higher economic growth, investment in human capital is also needed besides material investments. The purpose of this study is to determine the relationship between human capital and economic growth in Iran. The theoretical framework was designed based on this assumption that the total human capital employed in the economy is divided into two sections: Human capital with higher education and lack higher education. The data were collected from 1991 to 2006 and were analyzed using Ordinary Least Squares (OLS) model. The result of the analyses showed that there was significant relationship between human capital and economic growth. Together the independent variables explained 94% of the variance in the dependent variables. The remaining 16% was due to unidentified variables. In relation to that, we can conclude that explanatory power is high for the equation. It showed that one percent change in human capital rate lead to 58% in economic growth. Therefore human capital is regarded as an important factor in Iran's economic growth.

scholarly journals Industrial Exports and Economic Development in Iran

2011 ◽  
Vol 3 (1) ◽  
pp. 22-27
Author(s):  
Safdari Mehdi
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Explanatory Power ◽  
Industrial Sector ◽  
Ordinary Least Squares ◽  
Independent Variables ◽  
Percent Change ◽  
Dependent Variables ◽  
Oil Exports ◽  
The Relationship

This research seeks to determine the effect of human capital and physical and non-oil exports of industrial sector, the real Gross Domestic Product (GDP) in the country during 1959 to 2007. The purpose of this study is to determine the relationship between Industrial exports and economic growth in Iran. The theoretical framework was designed based on this assumption that the total GDP in the economy is divided into two sections, production for inside and production for export. The data were collected from 1959 to 2007 and was analyzed using Ordinary Least Squares (OLS) model. The result of the analyses shows that there is significant relationship between Industrial exports and economic growth. Together, the independent variables explained 93% of the variance in the dependent variables. In relation to that, it is concluded that explanatory power is high for the equation that shows that one percent change in Industrial exports rate lead to 44% in economic growth. Therefore, an Industrial export is regarded as an important factor in Iran's economic growth.

scholarly journals A Study Examining the Effect of Pistachio Export in Iran

2011 ◽  
Vol 2 (2) ◽  
pp. 73-80
Author(s):  
Safdari Mehdi
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Explanatory Power ◽  
Value Added ◽  
Total Production ◽  
Independent Variables ◽  
Distributed Lag ◽  
Dependent Variables ◽  
Auto Regressive ◽  
The Relationship

Pistachio is one of the most important agricultural sector products in Iran. This product is important because of creating exchange, employment, value added and other economic conditions. The purpose of this study is to determine the relationship between pistachio export and economic growth in Iran. The theoretical framework was designed based on this assumption that the total production in the economy is divided into two sections: production for inside and production for export. The data were collected from 1990 to 2003 and were analyzed using Auto Regressive Distributed Lag (ARDL) model. The result of the analyses showed that there was significant relationship between pistachio export and economic growth. Together the independent variables explained 89% of the variance in the dependent variables. The remaining 11% was due to unidentified variables. In relation to that, we can conclude that explanatory power is high for the equation. It showed that one percent change in pistachio export rate lead to 38% in economic growth. Therefore pistachio export is regarded as an important factor in Iran's economic growth.

The Relationship Between The University Services Marketing And the Leading Orientation And Their Impact In Enhancing The University Reputation

2018 ◽  
Vol 2 (3) ◽  
pp. 110-140 ◽  
Author(s):  
Nusseibeh Ahmed Abdul Wahid
Keyword(s):  
Private Universities ◽  
Services Marketing ◽  
Correlation Relationship ◽  
Independent Variables ◽  
Marketing Orientation ◽  
University Reputation ◽  
Administrative Leaders ◽  
University Services ◽  
The University ◽  
The Relationship

The relationship between the university services marketing and the leading orientation and their impact in enhancing the university reputation: Field study on a sample of administrative leaders in       private universities in the Erbil city Objective - The current study try to find the role of marketing university services (educational services, research services, community services) and the leading orientation (research mobilization, distinction, cooperation, university policies, proactive) as independent variables in enhancing the university's reputation as dependent a variable (Social responsibility, innovation, quality of service, image of the organization) in a sample of private universities in the Erbil city. Methodology of the study - The problem of the study was determined in several questions related to the nature of the correlation relationship - the effect of independent study variables (marketing of university services and leadership orientation) and the dependent variable (the reputation of the university). For this purpose, the hypotheses were subjected to multiple tests. The study used the questionnaire as a means to obtain data from the administrative leaders of the investigated universities. - The study was used the analytical descriptive method. The main and sub-variables were described and correlation and effect relationships were analyzed between the variables using advanced statistical methods (arithmetic mean, standard deviation, percentages, Pearson correlation, multiple regression test) , And the implementation of the statistical program (SPSS-Ver.18). The study was conducted in the educational sector in the city of Erbil, in order to obtain the necessary information for the field through a questionnaire prepared for this purpose and distributed to six universities. The number of respondents was (73) (Presidents of universities, their assistants, deans, their assistants, heads of departments) at the universities in question. The value of the study: The main conclusions of the study are the existence of a significant relationship between the variables of the study and the existence of a significant effect of the independent variable marketing of university services and the leading trend in the dependent variable universities reputation and the existence of variation of the effect of independent variables in the dependent variable in the universities investigated, A set of recommendations, the most important of which is the establishment of a center for the marketing of services at the university level and at the level of each college. In order to conduct a continuous study of the labor market to determine market needs, the university should be aware of the importance of marketing orientation in university education

ANALISA PENGARUH IKLIM ORGANISASI DAN KOMPETENSI TERHADAP KINERJA PEGAWAI PT HUTAMA KARYA

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Erik Wardhana, MM.
Keyword(s):  
Organizational Climate ◽  
Employee Performance ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Free Variable ◽  
Independent Variables ◽  
Dependent Variables ◽  
Correlational Approach ◽  
Survey Research Methods ◽  
The Relationship

This study entitled "Analysis of Effect of Climate Organization and Competence Againt Employee PT. Hutama Karya ". The purpose of this study was to obtain information on the relationship between the free variable that organizational climate (X1) and competence (X2) with the dependent variable is employee performance (Y), either partially or simultaneously, This study used survey research methods with the correlational approach and predictive, which aims for the relationship and influence between independent and dependent variables. The sampling technique can be done randomly (simple random sampling) of 852 employees, which is considered to resprentatif is 89 people. And to solve problems, to analyze and examine the relationship and influence between the independent variables on the dependent variable used models kausalistik through regression analysis with SPSS 14.0

Capital Structure and Earnings per Share: An Empirical Analysis of Indian Corporate Sector

2015 ◽  
Vol 5 (3) ◽  
Author(s):  
Harvinder Singh Mand ◽  
Manjit Singh
Keyword(s):  
Capital Structure ◽  
Empirical Analysis ◽  
Corporate Sector ◽  
Independent Variables ◽  
Earnings Per Share ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

This paper intends to measure the impact of capital structure on EPS (earnings per share) in Indian corporate sector. Fifteen control variables along with capital structure have been selected to know their impact on EPS. Panel data regression has been applied to establish the relationship among dependent and independent variables. It is found from the empirical analysis that the relation of capital structure with EPS has been statistically insignificant in Indian corporate sector among all specific industries except telecommunication industry. The results are consistent with Modigliani-Miller approach.

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