The Impact of Neighborhood Characteristics on Housing Prices-An Application of Hierarchical Linear Modeling

2012 ◽  
Vol 1 (2) ◽  
pp. 31-44
Author(s):  
Lee Chun Chang ◽  
Hui-Yu Lin
Keyword(s):  
Empirical Study ◽  
Hierarchical Linear Modeling ◽  
House Prices ◽  
Housing Prices ◽  
Neighborhood Characteristics ◽  
Linear Modeling ◽  
Hierarchical Linear Modelling ◽  
Neighborhood Characteristic ◽  
Linear Modelling ◽  
The Impact

Housing data are of a nested nature as houses are nested in a village, a town, or a county. This study thus applies HLM (hierarchical linear modelling) in an empirical study by adding neighborhood characteristic variables into the model for consideration. Using the housing data of 31 neighborhoods in the Taipei area as analysis samples and three HLM sub-models, this study discusses the impact of neighborhood characteristics on house prices. The empirical results indicate that the impact of various neighborhood characteristics on average housing prices is different and that the impact of house characteristics on house prices is also moderated by neighborhood characteristics.

scholarly journals LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Cyril R. Pernet ◽  
Nicolas Chauveau ◽  
Carl Gaspar ◽  
Guillaume A. Rousselet
Keyword(s):  
Hierarchical Linear Modeling ◽  
Response Variability ◽  
Evoked Responses ◽  
Single Trial ◽  
Linear Modeling ◽  
Matlab Toolbox ◽  
Hierarchical Linear Modelling ◽  
Space And Time ◽  
Brain Responses ◽  
Linear Modelling

Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials. More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test differences between averaged evoked responses over the entire scalp and time dimensions (e.g., SPM, Fieldtrip). LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using a simple hierarchical linear modelling of the data. In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses.

scholarly journals The Impact of Individual Characteristics and Branch Characteristics on Housing Agent Performance: Heckit model and Hierarchical Linear Modeling

2017 ◽  
Vol 9 (10) ◽  
pp. 189 ◽  
Author(s):  
Chun-Chang Lee
Keyword(s):  
Hierarchical Linear Modeling ◽  
Work Experience ◽  
Housing Prices ◽  
Individual Performance ◽  
Individual Characteristics ◽  
College Level ◽  
Linear Modeling ◽  
Estimation Model ◽  
Empirical Results ◽  
The Impact

This study investigates the impacts of individual characteristics and branch characteristics on housing agent performance. Data were analyzed using hierarchical linear modeling (HLM) to provide estimations. The empirical results suggest that individual performance varies significantly from branch to branch and is better in branches with higher levels of compensation for individual performance. Individual characteristics including college level education, having children over the age of six, work experience, the square of work experience, and work experience outside the real estate industry have significant effects on individual performance. Individual performance is also better in branches with requirements for hours worked. The individual performance of salespeople working under team compensation schemes is not significantly better than that of salespeople working in branches without team compensation schemes. When the average housing prices for the areas in which branches operate are higher, individual performance will be higher. As the average housing price for an area increases, however, the corresponding increase in individual performance will be less and less strong. According to the empirical results, there was a degree of self-selection in the samples. The results of two-stage estimation were not significantly different from the estimation results of the original model. Hence, the results demonstrate the robustness of the estimation model used.

Has tourism driven house prices in Germany? Time-varying evidence since 1870

2021 ◽  
pp. 135481662110088
Author(s):  
Sefa Awaworyi Churchill ◽  
John Inekwe ◽  
Kris Ivanovski
Keyword(s):  
World War Ii ◽  
Historical Data ◽  
House Prices ◽  
Housing Prices ◽  
Time Varying ◽  
Data Set ◽  
Time Series Modelling ◽  
The Impact ◽  
Tourism Flows ◽  
Non Parametric

Using a historical data set and recent advances in non-parametric time series modelling, we investigate the nexus between tourism flows and house prices in Germany over nearly 150 years. We use time-varying non-parametric techniques given that historical data tend to exhibit abrupt changes and other forms of non-linearities. Our findings show evidence of a time-varying effect of tourism flows on house prices, although with mixed effects. The pre-World War II time-varying estimates of tourism show both positive and negative effects on house prices. While changes in tourism flows contribute to increasing housing prices over the post-1950 period, this is short-lived, and the effect declines until the mid-1990s. However, we find a positive and significant relationship after 2000, where the impact of tourism on house prices becomes more pronounced in recent years.

scholarly journals Rhythmic Features of Movement Synchrony for Bonding Individuals in Dyadic Interaction

2019 ◽  
Vol 44 (1) ◽  
pp. 173-193 ◽  
Author(s):  
Ken Fujiwara ◽  
Masanori Kimura ◽  
Ikuo Daibo
Keyword(s):  
Hierarchical Linear Modeling ◽  
Dyadic Interaction ◽  
Wavelet Coherence ◽  
Linear Modeling ◽  
Theoretical Contribution ◽  
Bonding Effect ◽  
Slow Tempo ◽  
Movement Synchrony ◽  
The Impact

Abstract This study examined ways in which rhythmic features of movement contribute to bonding between individuals. Though previous studies have described synchrony as a form of social glue, this research extends those findings to consider the impact of fast versus slow tempo on movement synchrony. This two-part experiment examined dyadic interactions as they occurred between same-sex strangers (Study 1) and friends (Study 2). Participants were video-recorded as they engaged in 5- or 6-min chats, and synchrony was evaluated using wavelet transform via calculations of cross-wavelet coherence. Study 1 employed regression commonality analysis and hierarchical linear modeling and found that among various frequency bands, rapport between individuals was positively associated with synchrony under 0.025 Hz (i.e., slower than once every 40 s) and 0.5–1.5 Hz (i.e., once every 0.67–2 s). On the contrary, Study 2 determined that synchrony of 0.5–1.5 Hz was not impactful among friend dyads and only predictive of the motivation to cultivate a friendly relationship during interactions with strangers. These results indicate the existence of a distinctive rhythm for bonding individuals, and the role of pre-existing friendship as a moderator of the bonding effect of synchrony. However, the role of relative phase (i.e., timing of movement; same versus opposite timing) remains unclear, as the ratio of in- and anti-phase patterning had no significant influence on perceived rapport and motivation to develop relationships. On the basis of the research results, a theoretical contribution is proposed to the study of interpersonal coordination.

Knowledge Sharing, Organizational Climate, and Innovative Behavior: A Cross-Level Analysis of Effects

2013 ◽  
Vol 41 (1) ◽  
pp. 143-156 ◽  
Author(s):  
Chien Yu ◽  
Tsai-Fang Yu ◽  
Chin-Cheh Yu
Keyword(s):  
Organizational Climate ◽  
Knowledge Sharing ◽  
Hierarchical Linear Modeling ◽  
Organizational Innovation ◽  
Positive Association ◽  
Innovative Behavior ◽  
Linear Modeling ◽  
Individual Level ◽  
Innovation Climate ◽  
The Impact

We investigated individual-level knowledge sharing and innovative behavior of employees, organizational innovation climate, and interactions between the individual level of knowledge sharing and the climate of innovation within the organization as a whole. Employees of public corporations in the Taiwanese finance and insurance industries participated in this study. Hierarchical linear modeling (HLM) indicated a positive association between knowledge sharing and innovative behavior and a positive association between organizational innovation climate and innovative behavior. According to the results of HLM organizational innovation climate did not act as a moderator on the impact of knowledge sharing on innovative behavior.

scholarly journals Multiscale Effects of Multimodal Public Facilities Accessibility on Housing Prices Based on MGWR: A Case Study of Wuhan, China

2022 ◽  
Vol 11 (1) ◽  
pp. 57
Author(s):  
Lingbo Liu ◽  
Hanchen Yu ◽  
Jie Zhao ◽  
Hao Wu ◽  
Zhenghong Peng ◽  
...  
Keyword(s):  
Public Service ◽  
House Prices ◽  
Housing Prices ◽  
Positive Influence ◽  
Policy Formulation ◽  
Public Facility ◽  
Factors Affecting ◽  
Public Facilities ◽  
Geographically Weighted Regression Model ◽  
The Impact

The layout of public service facilities and their accessibility are important factors affecting spatial justice. Previous studies have verified the positive influence of public facilities accessibility on house prices; however, the spatial scale of the impact of various public facilities accessibility on house prices is not yet clear. This study takes transportation analysis zone of Wuhan city as the spatial unit, measure the public facilities accessibility of schools, hospitals, green space, and public transit stations with four kinds of accessibility models such as the nearest distance, real time travel cost, kernel density, and two step floating catchment area (2SFCA), and explores the multiscale effect of public services accessibility on house prices with multiscale geographically weighted regression model. The results show that the differentiated scale effect not only exists among different public facility accessibilities, but also exists in different accessibility models of the same sort of facility. The article also suggests that different facilities should adopt its appropriate accessibility model. This study provides insights into spatial heterogeneity of urban public service facilities accessibility, which will benefit decision making in equal accessibility planning and policy formulation for the layout of urban service facilities.

Converting service encounters into cross-selling opportunities

2015 ◽  
Vol 49 (3/4) ◽  
pp. 491-511 ◽  
Author(s):  
Ting Yu ◽  
Paul Patterson ◽  
Ko de Ruyter
Keyword(s):  
Goal Orientation ◽  
Hierarchical Linear Modeling ◽  
Positive Impact ◽  
Positive Influence ◽  
Linear Modeling ◽  
Research Issues ◽  
Content Type ◽  
Joint Influence ◽  
The Impact ◽  
A Performance

Purpose – This paper aims to examine how the motivation and ability of individual employees to sell influences their units’ capability to align their service delivery with sales in a way that satisfies customers. It also addresses the potential influence of employees’ confidence in their supervisor’s ability to sell, such that they predict a joint influence of personal and proxy agency. Design/methodology/approach – This study uses hierarchical linear modeling to address the research issues. Findings – Employees’ learning orientation has a positive influence on service-sales ambidexterity, but the impact of a performance-avoidance goal orientation is negative, and a performance-prove orientation has no influence. Proxy efficacy enhances the positive impact of learning orientations due to the manager’s ability to lead by example, facilitate knowledge sharing and provide advice. However, it attenuates the impact of self-efficacy on service-sales ambidexterity, because skilled supervisors tend to take over and eliminate opportunities for employees to build their own skills. It also confirms the positive influence of service-sales ambidexterity on branch performance. Originality/value – To examine the emerging service-sales ambidexterity issues raised in frontline service units, this study adopts a motivation and capability paradigm. It is among the first studies to address service-sales ambidexterity issues by considering both individual and branch contextual factors.

scholarly journals The Impact of Ignoring a Crossed Factor in Cross-Classified Multilevel Modeling

2021 ◽  
Vol 12 ◽  
Author(s):  
Soyoung Kim ◽  
Yoonhwa Jeong ◽  
Sehee Hong
Keyword(s):  
Random Effects ◽  
Hierarchical Linear Modeling ◽  
Fixed Effects ◽  
Random Effect ◽  
Information Criteria ◽  
Linear Modeling ◽  
Random Effect Modeling ◽  
Error Bias ◽  
The Impact ◽  
Level 2

The present study investigated estimate biases in cross-classified random effect modeling (CCREM) and hierarchical linear modeling (HLM) when ignoring a crossed factor in CCREM considering the impact of the feeder and the magnitude of coefficients. There were six simulation factors: the magnitude of coefficient, the correlation between the level 2 residuals, the number of groups, the average number of individuals sampled from each group, the intra-unit correlation coefficient, and the number of feeders. The targeted interests of the coefficients were four fixed effects and two random effects. The results showed that ignoring a crossed factor in cross-classified data causes a parameter bias for the random effects of level 2 predictors and a standard error bias for the fixed effects of intercepts, level 1 predictors, and level 2 predictors. Bayesian information criteria generally outperformed Akaike information criteria in detecting the correct model.

scholarly journals A new Mass Rapid Transit (MRT) line construction and housing wealth: Evidence from the Circle Line

2017 ◽  
Vol 1 (1) ◽  
pp. 64 ◽  
Author(s):  
Mi Diao ◽  
Yi Fan ◽  
Tien Foo Sing
Keyword(s):  
House Prices ◽  
Phase 1 ◽  
Housing Prices ◽  
Wealth Effects ◽  
Housing Wealth ◽  
Rapid Transit ◽  
Treatment Zone ◽  
Housing Wealth Effects ◽  
The Impact ◽  
Mass Rapid Transit

This study uses the opening of the new Mass Rapid Transit (MRT) in stages between 2010 and 2012 in Singapore as the exogenous event to empirically test the impact of the new Circle Line (CL) on housing wealth. Applying a "differences-in-differences" approach to the non-landed private housing transaction data covering the period from 2009 to 2013, we find that the average housing prices increase by 1.6% in the post-opening of the CL. We find significant capitalization of the new CL into housing prices, especially households living within a 400-meter radius (the treatment zone) from the closest MRT stations on the CL. The treatment effects that are measured by the “marginalwillingness to pay” for houses located within the treatment zone is 13.2% relative to houses located outside the treatment zone. The new CL opening creates an estimated S$1.23 billion housing wealth effects for households living in close proximity to the CL MRT stations. However, we do not find significant "anticipative" effects on house prices in the six-month window prior to the opening of CL. The strongest treatment effect is found after the opening of the phase 1 of CL, and the treatment intensity declines in phases 2 and 3 of the CL opening.

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