scholarly journals PROBABILITAS ANGKATAN KERJA TERDIDIK YANG TIDAK TERSERAP PADA PASAR KERJA

2020 ◽  
Vol 5 (2) ◽  
pp. 193-203
Author(s):  
Muhit Hidayah ◽  
◽  
Joko Triyanto ◽  
Keyword(s):  
Human Capital ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Population Growth ◽  
Marital Status ◽  
Demographic Transition ◽  
Economic Factors ◽  
Demand Side ◽  
Long Run ◽  
Household Members

The existence of a demographic transition that in the long run has an impact on the population explosion in the productive age and even the population trend shows a growing pattern of population growth in the productive age. It is feared that the number of people of productive age who are not absorbed in employment will eventually become unemployed. Unemployment of productive age will have an impact on the amount of educated unemployment. This study will analyze the demographic, human capital and economic factors behind educated unemployment in Sragen Regency in 2019, from the supply dan demand side. The data used is the raw data of the results of the National Labor Force Survey (SAKERNAS) in Agustus 2019 from the Statistics of Sragen Regency (BPS) with a sample of 602 respondents. The method used is logistic regression analysis. The results showed that the variables age, number of household members, gender, relationship with the head of the household, marital status, Diploma I / II, Diploma III, Diploma IV / S1 and S2 affect the probability of the educated workforce to be unemployed. Meanwhile, the domicile variable does not significantly affect the probability of the educated workforce being unemployed.

scholarly journals The existence of soybean farmers and market in Solok regency

2018 ◽  
Author(s):  
Hasdi Aimon ◽  
Melti Roza Adry ◽  
Elida
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Marital Status ◽  
Multiple Linear Regression ◽  
Consumer Preferences ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Household Members ◽  
Inductive Analysis

This study aims to look at the existence of soybean farmers and markets in Solok Regency. This study was conducted in Solok Regency to 200 households. This study was analyzed using descriptive analysis that aims to see the level of consumer preferences to processed soy products in Solok Regency. Furthermore, inductive analysis was analyzed using multiple linear regression analysis with OLS method that aims to look at the determinants of the demand for processed soy products in Solok Regency. The study shows that (1) the processed soy products most in demand by the society in Solok Regency are tofu and tempeh. (2) The number of household members, education of wife and job sector of husband affect significantly on the demand for tempeh in Solok Regency, while income, marital status, education of husband and job sector of wife do not affect significantly on the demand for tempeh in Solok Regency. (3). The number of household members and job sector of husband affect significantly on the demand for tofu in Solok Regency, while income, marital status, education of husband, education of wife and job sector of wife do not affect significantly on the demand for tofu in Solok Regency.

The Dynamics of Technical Progress in Some Developing and Developed Countries

2016 ◽  
pp. 172-194
Author(s):  
Weshah A. Razzak ◽  
Belkacem Laabas ◽  
El Mostafa Bentour
Keyword(s):  
Developing Countries ◽  
Human Capital ◽  
Population Growth ◽  
Technical Progress ◽  
Capital Intensity ◽  
Developed Countries ◽  
World Population ◽  
Long Run ◽  
Endogenous Growth Model ◽  
New Ideas

We calibrate a semi-endogenous growth model to study the transitional dynamic and the properties of balanced growth paths of technological progress. In the model, long-run growth arises from global discoveries of new ideas, which depend on population growth. The transitional dynamic consists of the growth rates of capital intensity, labor, educational attainment (human capital), and research and ideas in excess of world population growth. Most of the growth in technical progress in a large number of developed and developing countries is accounted for by transitional dynamics.

scholarly journals Population and Economic Growth Under Different Growth Engines

2017 ◽  
Vol 18 (2) ◽  
pp. 182-211 ◽  
Author(s):  
Alberto Bucci ◽  
Xavier Raurich
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Human Capital ◽  
Population Growth ◽  
Capital Accumulation ◽  
Capital Investment ◽  
Human Capital Investment ◽  
Physical Capital ◽  
Long Run

Abstract Using a growth model with physical capital accumulation, human capital investment and horizontal R&D activity, this paper proposes an alternative channel through which an increase in the population growth rate may yield a non-uniform (i.e., a positive, negative, or neutral) impact on the long-run growth rate of per-capita GDP, as available empirical evidence seems mostly to suggest. The proposed mechanism relies on the nature of the process of economic growth (whether it is fully or semi-endogenous), and the peculiar engine(s) driving economic growth (human capital investment, R&D activity, or both). The model also explains why in the long term the association between population growth and productivity growth may ultimately be negative when R&D is an engine of economic growth.

The Determinants of Information Technology Wages

2012 ◽  
pp. 32-49
Author(s):  
Jing ("Jim") Quan ◽  
Ronald Dattero ◽  
Stuart D. Galup ◽  
Kewal Dhariwal
Keyword(s):  
Human Capital ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Human Capital Theory ◽  
Organization Size ◽  
Capital Theory ◽  
Practical Advice ◽  
Industry Type ◽  
Experience Education ◽  
Managerial Positions

Anchoring this work to the classical human capital theory, the authors examine the effects of various human capital factors on IT professional compensation. Dividing IT salary into LOW (<$75,000) and HIGH (>=$75,000) ranges and using binomial logistic regression analysis, this paper estimates the effects of IT experience, education, IT degrees, IT certifications, and managerial positions on the probabilities of earning low wages in comparison to high wages, while controlling for industry type, organization size and location, gender, and marital status. Results indicate that the most important factors associated with high salaries are managerial positions, IT experience, education, and organization size. Practical advice is given on how IT professionals can employ these results to increase their compensation.

scholarly journals Fertility and fecundity of an outpatient sample with schizophrenia

2006 ◽  
Vol 28 (4) ◽  
pp. 305-307 ◽  
Author(s):  
Angela Cristina Cesar Terzian ◽  
Sérgio Baxter Andreoli ◽  
Denise Razzouk ◽  
Ana Cristina Chaves ◽  
Jair de Jesus Mari
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Marital Status ◽  
Outpatient Clinic ◽  
Life Time ◽  
Middle Income Country ◽  
Middle Income ◽  
Standard Population ◽  
Reproductive Rates ◽  
Number Of Individuals

OBJECTIVE: To determine reproductive rates among patients with schizophrenia who attended the outpatient clinic at the Universidade Federal de São Paulo. METHOD: All patients with schizophrenia completed a semi-standardized questionnaire, and data from the Brazilian census was used for comparing population rates. RESULTS: 167 patients completed the questionnaires and of these 33 (19.8%) were or had been married and 32 reported being a parent. The fertility rate (number of individuals who had had at least one child divided by the total number of individuals) was 19.4% (25% for females, 15.8% for males, p = 0.14). Fecundity rate was 1.75 for males and 1.69 for females (p = 0.85). A logistic regression analysis identified an association between the later date of the onset of illness and higher rate of marriage (p = 0.003). Gender and the interaction between gender and marital status were significant predictors for fertility (p < 0.05 and p = 0.024, respectively). CONCLUSIONS: Patients with schizophrenia showed lower rates for marital status, fertility and fecundity when compared to standard population rates. However, many patients will become parents during their life time. Therefore, it is imperative to develop services that fulfill their needs, mainly in Brazil, a middle-income country, where resources are scarce and there is no policy for dealing with this reality.

Mortality Reductions, Educational Attainment, and Fertility Choice

2005 ◽  
Vol 95 (3) ◽  
pp. 580-601 ◽  
Author(s):  
Rodrigo R Soares
Keyword(s):  
Human Capital ◽  
Economic Development ◽  
Life Expectancy ◽  
Demographic Transition ◽  
Capital Accumulation ◽  
Critical Level ◽  
Human Capital Accumulation ◽  
Fertility Choice ◽  
Life Expectancy At Birth ◽  
Long Run

This paper develops a model where reductions in mortality are the main force behind economic development. The model generates a pattern of changes similar to the demographic transition, where gains in life expectancy at birth are followed by reductions in fertility and increases in the rate of human capital accumulation. The onset of the transition is characterized by a critical level of life expectancy at birth, which marks the movement of the economy from a Malthusian equilibrium to an equilibrium with investments in human capital and the possibility of long-run growth.

scholarly journals Determinants of Self-Reported Illness: An Experience from Social Health Insurance Program in Nepal

2020 ◽  
Vol 3 (3) ◽  
pp. 1-22
Author(s):  
Deepak Raj Paudel
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Health Insurance ◽  
Logistic Regression Analysis ◽  
Economic Status ◽  
Social Health Insurance ◽  
Social Health ◽  
Insurance Program ◽  
Health Insurance Program ◽  
Household Members

Even though the ultimate goal of social health insurance program is to increase the utilization of health services and reduce the health care expenditure, individuals in developing countries generally do not visit a healthcare provider or spend on healthcare unless they perceive themselves as ill.  Thus, the determinants of such illness reporting could have practical significance in a setting, where the social health insurance program was first being implemented in Nepal. Philosophically, this study follows a post-positivism or empiricism research paradigm. The ontological assumption of this study is a singular reality and regarding the epistemological assumption, this study considers an objective reality, a deductive method of quantitative inquiry. A cross-sectional survey was performed among 6480 individuals from 1048 households located in 26 wards of Kailali district after twenty-one months of the implementation of health insurance program in Nepal. The sample was selected in two stages, first being the selection of wards and second being the households. Data analyses were mainly based on chi-square test and logistic regression analysis. The study revealed that out of total 6480 surveyed individuals, 1590 (24.5%) individuals reported illness and the most commonly self-reported illness was cold/cough/fever in the month prior to the survey. The logistic regression analysis revealed that a number of socioeconomic factors such as health insurance coverage, gender, education level, economic status and employment status are significant predictors of illness reporting. Being insured, household members were more likely to report illness compared to their counterparts (Odds ratio= 1.40, 95% Confidence Interval=1.24-1.59). Females were more likely to report illness compared to males. Members with secondary level of education were significantly less likely to have illnesses than the members with no formal education. Household members from higher household economic status and employed were significantly less likely to have an illness. The findings from this study could inform policy in the ongoing national health insurance debate in Nepal and elsewhere. Since individuals having health insurance are more likely to report illness compared to uninsured, there is need to expand the health insurance program thought the country. Despite some methodological constraints, this study delivers new information on the occurrences of self-reported illnesses among the Nepalese population. This can help policy makers to formulate proper interventions to protect the poor from the financial burden associated with poor-health.

scholarly journals Determinants of Economic Growth: An Empirical Evaluation of the Ugandan Economy

2021 ◽  
Author(s):  
Richard Sendi ◽  
John Bbale Mayanja ◽  
Enock Nyorekwa
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Population Growth ◽  
Foreign Aid ◽  
Trade Openness ◽  
Gdp Growth ◽  
Government Consumption ◽  
Long Run ◽  
Short Run ◽  
Determinants Of Economic Growth

This paper investigated the determinants of economic growth in Uganda for the period 1982–2015 using the autoregressive distributed lag (ARDL) mode. The paper was motivated by the impressive economic performance of Uganda since 1986 that made her graduate from a “failed state” to a “mature reformer” in a short time. The paper established that while the initial level of GDP growth, government consumption and investment positively affected Uganda’s economic growth in the short run, inflation, foreign aid and a policy dummy variable representing structural adjustment programmes negatively impacted GDP growth. The results revealed that in the long run, trade openness, population growth, government consumption and investment positively influenced GDP growth in Uganda. The results failed to show a significant relationship between trade openness, population growth and human capital accumulation and economic growth in the short run. The study also failed to show a significant relationship between inflation, human capital and foreign aid and economic growth in the long run. The paper recommends policies that enhances sound macroeconomic fundamentals such as price stability, investment promotion, trade openness, increased government consumption, increased population growth and effective foreign aid.

scholarly journals PELUANG TERJADINYA PENGANGGURAN DI PROVINSI BENGKULU : SEBERAPA BESAR?

2020 ◽  
Vol 1 (2) ◽  
pp. 70-83
Author(s):  
Lisa Marini ◽  
Novi Tri Putri
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Marital Status ◽  
Labor Force ◽  
Logistic Regression Analysis ◽  
Work Experience ◽  
Population Characteristics ◽  
Training Course ◽  
Labor Force Survey ◽  
The Family

The aim of this research is to analyze how are opportunity occured unemployment based on characteristics of populations in Bengkulu province. Characteristics of populations that used are education, training/course certificate, age, gender, work experience, marital status, status in the family, and area of residence. The analytical method used to achieve this goal is the logistic regression analysis. Type of key data use row data derived from the National Labor Force Survey (Sakernas) February 2018. The result of the calculation using the program SPSS 20.0 was found that not all the variables of population characteristics significantly affect the chances of unemployment with a confidence level of 95 percent. Education and age are significantly affect of unemployment in Bengkulu Province, while training/course certificate, gender, work experience, marital status, status in the family and area residence are not significantly affect of unemployment in Bengkulu Province. Keywords: Logistic Regression Analysis, National Labor Force Survey  (Sakernas), Unemployment.

scholarly journals How Valuable is Experience? Examining the Impact of Founder Experience on Nonprofit Start-Up Success

2020 ◽  
Vol 6 (2) ◽  
pp. 233
Author(s):  
Fredrik O. Andersson
Keyword(s):  
Human Capital ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Nonprofit Management ◽  
Previous Experience ◽  
Start Up ◽  
Management Experience ◽  
The Impact

Nonprofit entrepreneurs face a number of liabilities that are particularly significant during the emergent phase of a new nonprofit. Using a human capital perspective, this study examines the influence previous experience plays as it relates to nonprofit organizational start-up success. The study draws on a sample of 118 nascent nonprofit entrepreneurs. The results from a logistic regression analysis show no significant impact with regard to education or prior nonprofit management experience. The results, however, show that prior start-up experience significantly enhances the likelihood of start-up success.

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