A NEW RELATIONSHIP BETWEEN WAGES AND RENTS IN INDONESIA

2019 ◽  
Vol 13 (2) ◽  
pp. 123
Author(s):  
Gidion P Adirinekso
Keyword(s):  
Labor Economics ◽  
Housing Markets ◽  
Seemingly Unrelated Regression ◽  
Policy Implications ◽  
Unrelated Regression ◽  
Non Linear ◽  
Spatial Aspect ◽  
The Relationship ◽  
The City ◽  
Theoretical Considerations

This study examined the relationship between wages and house rents in the cities level. Merely, the existence of the housing market in the suburb is an critical component to explain relations between two market in two spaces. By applying practical and theoretical considerations, the house rents in suburb are included in this general equilibrium model. We utilize mathematical modeling to find some optimal equations in two markets to know the new relationship between wages and rents in the city level.  An estimation using Non-Linear Seemingly Unrelated Regression to proof the relationship between wages and rents empirically.  The work found that house rents in urban and suburban affecting wages in an urban area, it brings important policy implications in two markets. There are two considerations for the policy maker. They should consider others markets and spatial aspect when formulating their policies, especially in labor and housing markets Keywords: wages, house rents, urban labor economics.  ABSTRAK Studi ini menguji hubungan antara upah dan sewa rumah di tingkat kota. Hanya saja, keberadaan pasar perumahan di pinggiran kota merupakan komponen penting untuk menjelaskan hubungan antara dua pasar dalam dua ruang. Dengan menerapkan pertimbangan praktis dan teoretis, sewa rumah di  pinggiran kota dimasukkan dalam model keseimbangan umum ini. Kami menggunakan pemodelan matematika untuk menemukan beberapa persamaan optimal di  dua pasar untuk mengetahui hubungan baru antara upah dan sewa di tingkat kota. Taksiran menggunakan Non-Linear Seemingly Unrelated Regression untuk membuktikan hubungan antara upah dan sewa secara empiris. Pekerjaan menemukan bahwa sewa rumah di perkotaan dan pinggiran kota mempengaruhi upah di daerah perkotaan, itu membawa implikasi kebijakan penting di dua pasar. Ada dua pertimbangan bagi pembuat kebijakan. Mereka harus mempertimbangkan pasar lain dan aspek spasial ketika merumuskan kebijakan mereka, terutama di pasar tenaga kerja dan perumahan. Kata kunci: upah, sewarumah, ekonomi tenaga kerja perkotaan JEL: C15, C33, C61, D50, J10, J20, R10

scholarly journals Technical Efficiency and Technical Change in Africa: The Role of Money from the Diasporas

2018 ◽  
Vol 10 (7) ◽  
pp. 177
Author(s):  
Gloria Clarissa O. Dzeha ◽  
Joshua Yindenaba Abor ◽  
Festus Ebo Turkson ◽  
Elikplimi Komla Agbloyor
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Technical Change ◽  
Seemingly Unrelated Regression ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Factor Productivity ◽  
Unrelated Regression ◽  
The Relationship

Based on evidence from the literature that the relationship between remittances and total factor productivity (TFP) is inconclusive, we employ the non-parametric Malmquist productivity index - Data Envelope Analysis to decompose total factor productivity (TFP) into technical change and technical efficiency and further investigate the effect of remittances on the technical change and technical efficiency. We employ the Seemingly Unrelated Regression estimation (SUR) technique in a panel of twenty-three African remittance recipient countries across a twenty-three-year period (1990-2013). We show that remittances received by households have a positive and significant impact on technical efficiency but no significant on technical change (innovativeness). We further show that remittances received by skilled labour is significant to technical efficiency but has a lowering effect on technical efficiency.

Temporal tapestries: Transforming cityscapes in Berlin pop music videos

2019 ◽  
Vol 10 (2) ◽  
pp. 109-125
Author(s):  
Maria Stehle
Keyword(s):  
Music Videos ◽  
Pop Music ◽  
Sound Image ◽  
Non Linear ◽  
Memory Time ◽  
Historic Memory ◽  
The Relationship ◽  
The City ◽  
Selection Of

This article analyses a selection of pop music videos released between 2012 and 2014 that rescript Berlin’s Zeitlichkeit (temporality), the relationship between city spaces, history, and time. Examples include videos by German and non-German artists, ranging from David Bowie to Miss Platnum, Lilly Wood & the Prick, Alanis Morissette and Andreas Bourani. Striking synergies between the different sound-image-texts emerge around questions of historic memory, time, and time passing. Close analyses show how these Berlin music videos released between 2012 and 2014 challenge linear narratives of pasts and progress. In the non-linear conceptions of time suggested in these videos and songs, new and old agents can coexist and create images and narratives of a different temporal tapestry of the city.

scholarly journals Macroeconomic identification of the priced APT factors on the Johannesburg Stock Exchange

1996 ◽  
Vol 27 (4) ◽  
pp. 104-112 ◽  
Author(s):  
Paul Van Rensburg
Keyword(s):  
Interest Rates ◽  
Risk Premium ◽  
Significant Risk ◽  
Seemingly Unrelated Regression ◽  
Simultaneous Estimation ◽  
Inflation Expectations ◽  
Arbitrage Pricing Theory ◽  
Macroeconomic Variables ◽  
Unrelated Regression ◽  
Non Linear

Employing prespecified macroeconomic variables as potential priced factors, the Arbitrage Pricing Theory (APT) may be modelled as a non-linear seemingly unrelated regression with across equation restrictions. This portrayal allows for the simultaneous estimation of factor sensitivities and the risk premium associated with each factor. The following macroeconomic variables were tested as potential factors: unexpected movements in (rand) gold returns. (dollar) returns on the Dow-Jones Industrial Index, the term structure of interest rates and inflation expectations together with the 'residual market factor' of Burmeister Wall. Using iterated non-linear seemingly unrelated regression (ITNLSUR) estimation techniques, it was found that all of the above variables except for gold price risk are priced, that is, are associated with statistically significant risk premia.

scholarly journals Gender Differences in Time in Child Care During Unemployment

2019 ◽  
Author(s):  
Margaret Gough
Keyword(s):  
Child Care ◽  
Time Use ◽  
The United States ◽  
Ordinary Least Squares ◽  
Seemingly Unrelated Regression ◽  
Unpaid Labor ◽  
Unrelated Regression ◽  
Parental Unemployment ◽  
Employed Parents ◽  
The Relationship

ObjectivesThere is great interest in the relationship between paid and unpaid labor time. Yet, in the United States most studies have focused on the housework component of unpaid labor. Limited research has examined how parental employment status relates to child care time. This study examines how unemployment is related to time in multiple types of child care and how this relationship varies by gender.MethodsI use data from the 2003-2013 American Time Use Surveys to study cohabiting and married parents ages 18-65 (N=44,198). I predict time spent in total child care, routine child care, and educational/recreational child care by parental unemployment status using ordinary least squares and seemingly unrelated regression models, and examine differences between weekday and weekend time use. ResultsConsistent with time-based theories, I find unemployed parents spend more time in child care than employed parents, but patterns vary by gender: unemployed mothers and fathers spend more time in child care on weekdays, but unemployed fathers spent less time in child care on weekends. ConclusionsResults suggest similarities and differences between the unemployment-child care time relationship and the relationship of unemployment with other types of unpaid labor such as housework.

scholarly journals ANALISIS PENGARUH VOLATILITAS NILAI TUKAR PADA EKSPOR KOMODITI MANUFAKTUR DI INDONESIA PENERAPAN ESTIMASI DENGAN MENGGUNAKAN DISTRIBUSI LAG POISSONS PADA PERSAMAAN NON LINEAR SEEMINGLY UNRELATED REGRESSION

2005 ◽  
Vol 7 (2) ◽  
pp. 197-236 ◽  
Author(s):  
Dr. Mahyus Ekananda MM., MSE
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Probability Function ◽  
Exchange Rate Volatility ◽  
Simultaneous Equation ◽  
Seemingly Unrelated Regression ◽  
System Equation ◽  
Unrelated Regression ◽  
Non Linear ◽  
The Impact

The purpose of this paper is to explain the uncertainty of exchange rate volatility effect to international trade. Its effect to international trade, specially quantity of export, come from accumulation exchange rate fluctuation from several lag. For the record, some previous researches which found out the impact of exchange rates on trade did not consider some of the things. First, the existence of inconstancy on trade. Namely, depend on the change of elasticity along the time of observations. Secondly, the number of lag in independent variable which is needed in order to record the highest impact. Third, there is an accumulation of impact in some previous period. The industry with lower import content become easier to maintain the export level. Export adjustment will occure with different time. This paper found that the industry with lower import content has faster export adjusment than higner import content. The data will separate into two different import content. The industry with higher import content will reduce the export if exchange rate volatility increase.The other purpose of this paper is to explain the algorithm solution for system equation which has non linier form in its parameter, especially in system equation of seemingly unrelated regression. Particularly, this paper will discuss the model formation by inserting poissons probability function, which cause the non linier form. Inserting poissons distibution probablity to equation of trade can estimate the time of adjustment that has a best distribution. Then, this paper will explain the implementation that had been done by Ekananda (2003) about poisons probability function on system equation, the dynamics of equation and the simultaneous equation by using Hausman algorithm (1975).Keywords: exchange rate, poisson distribution, Non Linear SURJEL: C16, C32, F14, F31

Abstract 19852: The Relationship Between Obesity and Heart Failure is Stronger than Those for Other CVD Subtypes and Not Explained by Traditional Risk Factors

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Chiadi Ndumele ◽  
Kunihiro Matsushita ◽  
Mariano Lazo ◽  
Natalie A Bello ◽  
Roger S Blumenthal ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Cox Regression ◽  
Seemingly Unrelated Regression ◽  
Cvd Risk ◽  
Unrelated Regression ◽  
Severely Obese ◽  
Traditional Risk Factors ◽  
Adjusted Model ◽  
The Relationship

Background: Although obesity is a risk factor for various subtypes of cardiovascular disease (CVD), the mechanisms responsible for these relationships likely differ. Limited studies have prospectively compared the associations between obesity and CVD subtypes within the same population. Hypothesis: We hypothesized that the association of obesity with heart failure (HF) is stronger than those with other subtypes of CVD, and not fully explained by traditional risk factors. Methods: We followed 13,730 ARIC participants without CVD at baseline (1987-1989) and with body mass index (BMI) ≥18.5 kg/m2. BMI (kg/m2) was categorized as normal (18.5-24.9), overweight (25-29.9), obese (30-34.9) and severely obese (≥35). Participants were followed prospectively for incident HF, coronary heart disease (CHD), and stroke. Cox regression models with adjustment for demographic and traditional CVD risk factors were constructed to estimate the associations between BMI and CVD subtypes. Seemingly unrelated regression was used to compare coefficients for the different risk associations, to account for correlations in the error terms. Results: The mean age was 54 years (SD +/- 6) and 56% were female. Over a median follow-up of 23 years, there were 2,090 HF events, 1,577 CHD events, and 948 strokes. Incident HF demonstrated the highest hazard ratios in association with higher BMI among CVD subtypes in all models, and was the only CVD subtype demonstrating significant associations with higher BMI categories in the fully adjusted model (Table). Indeed, in the fully adjusted model, the risk coefficient between severe obesity and HF was significantly greater than those for CHD and stroke (both p<0.0001). Conclusions: The relationship between obesity and HF was stronger than those for other CVD subtypes, and was not explained by traditional risk factors. Research efforts should focus on elucidating non-traditional pathways linking obesity to HF and devising novel preventive strategies.

scholarly journals GSTAR-X-SUR Model with Neural Network Approach on Residuals

CAUCHY ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. 203
Author(s):  
Diana Rosyida ◽  
Atiek Iiriany ◽  
Nurjannah Nurjannah
Keyword(s):  
Neural Network ◽  
Estimation Method ◽  
Seemingly Unrelated Regression ◽  
Network Approach ◽  
Network Parameter ◽  
Exogenous Variables ◽  
Neural Network Approach ◽  
Unrelated Regression ◽  
Non Linear ◽  
Model Approach

<p class="Abstract">One of the models that combine time and inter-location elements is Generalized Space Time Autoregressive (GSTAR) model. GSTAR model involving exogenous variables is GSTARX model. The exogenous variables which are used in GSTAR model can be both metrical and non-metrical data. Exogenous variable that can be applied into the forecasting of precipitation is non-metrical data which is in a form of precipitation intensity of a certain location. Currently, precipitation possesses patterns and characteristics difficult to identify, and thus can be interpreted as non-linear phenomenon. Non-linear model which is much developed now is neural network. Parameter estimation method employed is Seemingly Unrelated Regression (SUR) model approach, which can solve the correlation between residual models. This current research employed GSTARX-SUR modelling with neural network approach on residuals. The data used in this research were the records of 10-day precipitations in four regions in West Java, namely Cisondari, Lembang, Cianjur, and Gunung Mas, from 2005 to 2015. The GSTARX-SUR NN modelling resulted in precipitation deviation average of the forecast and the actual data at 4.1385 mm. This means that this model can be used as an alternative in forecasting precipitation.<strong> </strong></p>

scholarly journals Analysis of Car Type Preferences Among Students Based on Seemingly Unrelated Regression

2017 ◽  
Vol 2666 (1) ◽  
pp. 85-93 ◽  
Author(s):  
Prawira Fajarindra Belgiawan ◽  
Jan-Dirk Schmöcker ◽  
Maya Abou-Zeid ◽  
Satoshi Fujii
Keyword(s):  
Environmentally Friendly ◽  
Point Of View ◽  
Seemingly Unrelated Regression ◽  
Policy Implications ◽  
Negative Effects ◽  
Electric Cars ◽  
Explanatory Variables ◽  
Unrelated Regression ◽  
Dependent Variables ◽  
The Government

Vehicle type purchase intentions are interesting from a marketing point of view, because car manufacturers are competing to attract potential buyers. Furthermore, from the point of view of transport planners as well as the government, there are environmental concerns. This study focused on students’ intention to purchase different types of vehicles. The study obtained a sample of 1,229 students from seven countries, to understand cultural differences in preferences. The dependent variables were intention to buy cars in different categories, including hybrid and electric cars. The aim was to explain intentions with three categories of explanatory variables: psychological aspects, sociodemographics, and site-specific dummy variables. To account for correlation between the dependent variables, the analysis used seemingly unrelated regression. The study found that attitudinal factors are significant, particularly for the intention to buy more environmentally friendly types of vehicles; the paper discusses policy implications. The study observed the importance of the symbolic-affective value of a car in explaining car type preferences, as well as the importance of awareness of the negative effects cars might have on the environment and society. It is suggested that these findings can be used to promote more environmentally friendly cars.

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