CAPABILITIES OF REVEALED PREFERENCE METHOD FOR HERITAGE PROPERTY VALUATION

2019 ◽  
Vol 17 (9) ◽  
Author(s):  
Junainah Mohamad ◽  
Suriatini Ismail
Keyword(s):  
Revealed Preference ◽  
Least Square ◽  
Ordinary Least Square ◽  
Market Effects ◽  
Property Valuation ◽  
Original Dataset ◽  
Market Situation ◽  
Thin Market ◽  
Rank Transformation ◽  
New Research

In recent years, the increasing availability of large databases on real estate transaction has opened up new research possibilities using revealed preference method. Therefore, the aim of this paper is to investigate the capability of revealed preference method of ordinary least square and rank transformation regression models in valuing shophouse heritage property. This paper has provided the first application that consider the thin market effects by comparing the ordinary least square and rank transformation regression in obtaining the market value of shophouse heritage property. The original dataset consists of 893 commercial properties transacted from 2004 to 2014 in Kota Bharu, Kelantan Malaysia. After filtration process, only 25 units of shophouse heritage property were available and valid to be used. The findings suggest that rank transformation regression model performs better than the ordinary least square model with double-log as the best model. This suggests that rank transformation regression is capable for heritage property valuation in thin market situation.

scholarly journals Testing the Use of Multiple Regression Analysis and Rank Transformation Regression for Heritage Property Valuation

2018 ◽  
Vol 4 (15) ◽  
pp. 42-62
Author(s):  
Junainah Mohamad ◽  
Suriatini Ismail ◽  
Abdul Hamid Mar Iman ◽  
Thuraiya Mohd
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Publishing House ◽  
Limited Data ◽  
Property Valuation ◽  
Original Dataset ◽  
International Publishing ◽  
Rank Transformation ◽  
Open Access Article

The aim of this paper was to test the applicability of multiple regression analysis and rank transformation regression in assessing the values of private heritage property. The original dataset consists of 893 commercial properties transacted from 2004 to 2014 in Kelantan Malaysia. After filtration process, only 25 units of shophouse heritage property were available and valid to be used. The models have been constructed and their statistical performances have been compared. The results indicate that adopting statistical methods of valuation per se to overcome the issue of unavailability of market evidence could not solve the consequences of the limited data problem. Keywords: real estate; heritage property; multiple regression analysis; rank transformation regression eISSN 2398-4279 © 2019. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. 

scholarly journals Assessment of Heritage Property Values Using Multiple Regression Analysis and Rank Transformation Regression

2017 ◽  
Vol 2 (6) ◽  
pp. 207
Author(s):  
Junainah Binti Mohamad ◽  
Suriatini Binti Ismail ◽  
Abdul Hamid Bin Mar Iman ◽  
Thuraiya Binti Mohd
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Current Practice ◽  
Property Values ◽  
Filtration Process ◽  
Property Valuation ◽  
Original Dataset ◽  
Comparison Approach ◽  
Rank Transformation

The current practice of heritage property valuation is using sale comparison approach. However, there is a limitation in applying this approach for heritage property valuation because of unavailability of market evidence. Therefore, the aim of this paper was to evaluate the capability of Multiple Regression Analysis and Rank Transformation Regression in assessing the values of heritage property. The original dataset consists of 893 commercial properties transacted from 2004 to 2014 in Kota Bharu, Kelantan Malaysia. After filtration process, only 25 units of shophouse heritage property were available and valid to be used. The findings indicate that even we adopted statistical methods of analysis to overcome the issue of unavailability of market evidence this still could not solve the problem. Hence, the findings of this research contribute to the need for an improved method for heritage property valuation by proposing an extended sale comparison using statistical analysis for future investigation.

Dampak Kebijakan Moneter Pada Output Di Negara-Negara ASEAN Tahun 1980-2014

2017 ◽  
Vol 4 (1) ◽  
pp. 58-70
Author(s):  
Nur Widiastuti
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Fixed Effects ◽  
Empirical Studies ◽  
Negative Relationship ◽  
Least Square ◽  
Fixed Effects Model ◽  
State Data ◽  
Ordinary Least Square ◽  
The Impact

The Impact of monetary Policy on Ouput is an ambiguous. The results of previous empirical studies indicate that the impact can be a positive or negative relationship. The purpose of this study is to investigate the impact of monetary policy on Output more detail. The variables to estimatate monetery poicy are used state and board interest rate andrate. This research is conducted by Ordinary Least Square or Instrumental Variabel, method for 5 countries ASEAN. The state data are estimated for the period of 1980 – 2014. Based on the results, it can be concluded that the impact of monetary policy on Output shown are varied.Keyword: Monetary Policy, Output, Panel Data, Fixed Effects Model

PENGARUH PENANAMAN MODAL ASING, PERDAGANGAN INTERNASIONAL, GDP PER KAPITA, SEKTOR PERTANIAN, DAN URBANISASI TERHADAP PENDUDUK BEKERJA DI INDONESIA

2017 ◽  
Vol 21 (2) ◽  
pp. 85-95
Author(s):  
John Marcell Rumondor
Keyword(s):  
International Trade ◽  
Gross Domestic Product ◽  
Foreign Investment ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Working Population ◽  
Ordinary Least Square ◽  
Per Capita

This research aims to understand the influenceof foreign investment, international trade, Gross Domestic Product per capita, agriculture and urbanization of the working population. Country used as an object in this research is Indonesia. This research uses the method of analysis Ordinary Least Square (OLS) and the multiple linear regression analysis method. Research period are from 1997 – 2012. The results showed that the international trade, Gross Domestic Product per capita, agriculture and urbanization have significantpositive influenceon the population work in Indonesia, but foreign investment has no significanteffect on the working population in Indonesia.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

The Impact of Competitive Quasi-Market on Service Delivery in Benue State University, Makurdi Nigeria

GIS Business ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. 85-98
Author(s):  
Idoko Peter
Keyword(s):  
Service Delivery ◽  
A Priori ◽  
Least Square ◽  
Secondary Source ◽  
State University ◽  
Ordinary Least Square ◽  
Negative Effect ◽  
The Impact ◽  
The Relationship

This research the impact of competitive quasi market on service delivery in Benue State University, Makurdi Nigeria. Both primary and secondary source of data and information were used for the study and questionnaire was used to extract information from the purposively selected respondents. The population for this study is one hundred and seventy three (173) administrative staff of Benue State University selected at random. The statistical tools employed was the classical ordinary least square (OLS) and the probability value of the estimates was used to tests hypotheses of the study. The result of the study indicates that a positive relationship exist between Competitive quasi marketing in Benue State University, Makurdi Nigeria (CQM) and Transparency in the service delivery (TRSP) and the relationship is statistically significant (p<0.05). Competitive quasi marketing (CQM) has a negative effect on Observe Competence in Benue State University, Makurdi Nigeria (OBCP) and the relationship is not statistically significant (p>0.05). Competitive quasi marketing (CQM) has a positive effect on Innovation in Benue State University, Makurdi Nigeria (INVO) and the relationship is statistically significant (p<0.05) and in line with a priori expectation. This means that a unit increases in Competitive quasi marketing (CQM) will result to a corresponding increase in innovation in Benue State University, Makurdi Nigeria (INVO) by a margin of 22.5%. It was concluded that government monopoly in the provision of certain types of services has greatly affected the quality of service experience in the institution. It was recommended among others that the stakeholders in the market has to be transparent so that the system will be productive to serve the society effectively

Peranan Sektor Pertanian dalam Perekonomian Kabupaten Manokwari

Agrotek ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Kunto Wibowo
Keyword(s):  
Agricultural Sector ◽  
Raw Materials ◽  
Secondary Data ◽  
Least Square ◽  
Food Crops ◽  
Literature Study ◽  
Location Quotient ◽  
Ordinary Least Square ◽  
Plantation Crops ◽  
Vegetables And Fruits

<em>The agricultural sector</em><em> is a strategic sector in Manokwari regency. The agricultural sector provides a major contribution in the regional economy, an economic base of rural people, dominate the life of most residents in this region and provider of food and raw materials for other sectors. The purpose of this study was to determine how big the contribution of different sub-sectors that exist in the agricultural sector, which analyzes sectors influential in changing the economic structure of agriculture in the area and know the potential commodities that can be developed in an effort to enhance the role of the agricultural sector. The research method used through literature study and analysis of secondary data sourced from the relevant authorities. To find out how big the factors that influence changes in economic structures of domination of the agricultural sector into non-agricultural sector estimates used Ordinary Least Square (OLS). For the determination of the potential commodities that can be seeded used method approach Location Quotient (LQ). The results showed the greatest contribution of the different sub-sectors within the agricultural sector contained in the food crops sub-sector. Based on the rate of growth per year, plantation crops sub-sector occupied the highest positions. The sectors that provide real impact on the agricultural sector's contribution to the regional gross domestic product �of the building sector and services sector. Potential commodities that can be developed in different areas in Manokwari regency include food crops and pulses, vegetables and fruits and livestock including cows, goats, pigs and chicken.</em>

URGENSI AUDIT JUDGEMENT PADA POST CLEARANCE AUDIT

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Masruri Muchtar ◽  
Prasetya Utama
Keyword(s):  
Self Efficacy ◽  
Least Square ◽  
Coefficient Of Determination ◽  
Experience Level ◽  
Level Of Education ◽  
Future Studies ◽  
Ordinary Least Square ◽  
Audit Judgment ◽  
Depth Interview ◽  
Study Results

ABSTRACT:The auditor should have eminence audit judgment to support their assignment This research aims to provide empirical evidence that self-efficacy, experience, level of education, and skepticism have an impact on audit judgment. The population are auditors who had carried out post-clearance audit assignments. This research uses a quantitative approach by testing the theories and hypotheses that have been prepared. Ordinary least square (OLS) linear regression as an analytical model is used in this study. Results show that experience and education level have no impact on audit judgment, whereas self-efficacy and skepticism have a positive and significant impact on audit judgment. Efforts to improve self-efficacy and auditor skepticism are urgently needed. The coefficient of determination describes the variation of variables of self-efficacy, experience, level of education, and skepticism able to explain the variation of audit judgment variables by 51%. The remaining 49% is explained by other variables not involved in this study. Future studies may enhance with other variables and employ in-depth interview methods.Keywords: audit judgment, experience, level of education, post-clearance audit, self-efficacy, skepticism, post-clearance audit ABSTRAK:Auditor seyogyanya memiliki kemampuan audit judgment yang berkualitas guna mendukung penugasannya. Tujuan penelitian adalah memberikan bukti empiris bahwa efikasi diri, pengalaman, tingkat pendidikan, dan skeptisisme memiliki pengaruh terhadap audit judgement. Populasi dalam penelitian ini adalah auditor Direktorat Jenderal Bea dan Cukai (DJBC) yang pernah melakukan post clearance audit. Ini merupakan pendekatan kuantitatif yang menguji teori serta hipotesis yang telah disusun. Riset ini menggunakan regresi linear ordinary least square (OLS) sebagai model analisis. Hasil studi memperlihatkan pengalaman dan tingkat pendidikan tidak berpengaruh pada audit judgement, namun efikasi diri dan skeptisisme berpengaruh signifikan pada audit judgement. Implikasinya DJBC perlu memberikan perhatian khusus terhadap berbagai upaya dalam peningkatan efikasi diri dan skeptisisme auditor. Tulisan ini adalah pengembangan beberapa penelitian sebelumnya namun dalam konteks pengujian untuk jenis audit ketaatan. Nilai koefisien determinasi menggambarkan variasi variabel efikasi diri, pengalaman, tingkat pendidikan, dan skeptisisme dapat menjelaskan variasi variabel audit judgement sebesar 51%. Sisanya sebesar 49% dijelaskan oleh variabel lainnya yang tidak diujikan dalam tulisan ini. Dengan adanya keterbatasan waktu pada penelitian ini diharapkan mendorong penelitian berikutnya untuk dapat menyertakan beberapa variabel lain yang relevan dan melengkapinya dengan metode in-depth interview.Kata Kunci: bea dan cukai, efikasi diri, pengalaman, skeptisisme, tingkat pendidikan

Turnaround Model Prediction with Content Dimension on Financial Distress Firms

2020 ◽  
Vol 11 (1) ◽  
pp. 65-65
Author(s):  
Giriati
Keyword(s):  
Family Member ◽  
Model Prediction ◽  
Significant Relationship ◽  
Financial Distress ◽  
Stock Exchange ◽  
Organization Change ◽  
Least Square ◽  
Ordinary Least Square ◽  
Change Framework

This article aims to synthesize and test empirically turnaround model by content dimension that is an integration of the organization change framework into turnaround research to measure some activities done to avoid failure in turnaround. This study on the Indonesian Stock Exchange (BEI) by using Ordinary Least Square technique. The results of the analysis from content dimension show that the CEO expertise variable has a significant relationship to turnaround, since companies in Indonesia are dominated by family companies, so maintaining the incumbent CEO is more appropriate, because it is a family member. In addition, free assets show a significant relationship with turnaround, while leverage and growth of sales do not have a significant relationship with turnaround. Keywords: Financial Distress, Turnaround Model, CEO Expertise, Free Assets, Leverage and Growth of Sales,

scholarly journals Does Foreign Direct Investment Influence Renewable Energy Consumption? Empirical Evidence from South Asian Countries

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3470
Author(s):  
Xueqing Kang ◽  
Farman Ullah Khan ◽  
Raza Ullah ◽  
Muhammad Arif ◽  
Shams Ur Rehman ◽  
...  
Keyword(s):  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Sri Lanka ◽  
South Asian ◽  
Environmental Sustainability ◽  
Direct Investment ◽  
Least Square ◽  
Asian Countries ◽  
Ordinary Least Square ◽  
The Relationship

In selected South Asian countries, the study intends to investigate the relationship between urban population (UP), carbon dioxide (CO2), trade openness (TO), gross domestic product (GDP), foreign direct investment (FDI), and renewable energy (RE). Fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models for estimation were used in the study, which covered yearly data from 1990 to 2019. We used Levin–Lin–Chu, Im–Pesaran–Shin, and Fisher PP tests for the stationarity of the variables. The outcomes of the panel cointegration approach looked at whether there was a long-run equilibrium nexus between selected variables in Pakistan, Bangladesh, India, and Sri Lanka. The FMOLS approach was also used to assess the relationship, and the results suggest that there is a significant and negative nexus between FDI and renewable energy in south Asian nations. The study’s findings reveal a strong and favorable relationship between GDP and renewable energy use. In South Asian nations (Sri Lanka, Pakistan, India, and Bangladesh), the FMOLS and DOLS findings are nearly identical, but the authors used the DOLS model for robustification. According to the findings, policymakers in South Asian economies (Sri Lanka, Pakistan, India, and Bangladesh) should view GDP and FDI as fundamental policy instruments for environmental sustainability. To reduce reliance on hazardous energy sources, the government should also reassure financial sectors to participate in renewable energy.

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