Housing features and rent: estimating the microstructures of rental housing

2019 ◽  
Vol 12 (2) ◽  
pp. 210-225 ◽  
Author(s):  
Hayato Nishi ◽  
Yasushi Asami ◽  
Chihiro Shimizu
Keyword(s):  
Design Methodology ◽  
Rental Housing ◽  
Hedonic Model ◽  
Traditional Media ◽  
Data Set ◽  
Content Type ◽  
Unique Data ◽  
Omitted Variable Bias ◽  
Variable Bias ◽  
Hedonic Approach

Purpose While consumers did not previously have information on detailed housing features via traditional media, such as magazines, nowadays, due to the progress in information technology, they can access detailed information on various housing features via housing information websites. Therefore, detailed housing features may affect current rents to some extent. This paper aims to identify the effects of detailed housing features on rent and on omitted variable bias in Tokyo, Japan. Design/methodology/approach This paper applies the hedonic approach. To identify the effects of features which are not observed previously, we use a unique data set that contains various housing features and over 200,000 housing units. This data set enables to simulate the situations when the researcher cannot get some variables, and this simulation shows which variables cause omitted variable bias. Findings The analysis shows that housing features significantly influence housing rent. If significant housing feature variables are not included in the hedonic model, the estimated coefficients show omitted variable bias. Additionally, unit-specific features such auto-locking door can cause omitted variable bias on location-specific features such accessibility to downtown. Originality/values This paper shows empirical evidence that detailed housing features can cause omitted variable bias on other features including variables which are often used in previous searches. The result from our unique data set can be a guide for variable selection to reduce omitted variable bias.

Relative supervisor education and worker well-being

2018 ◽  
Vol 39 (5) ◽  
pp. 731-745
Author(s):  
Benjamin Artz
Keyword(s):  
Fixed Effects ◽  
Design Methodology ◽  
Well Being ◽  
Longitudinal Survey ◽  
Content Type ◽  
Omitted Variable Bias ◽  
Worker Education ◽  
Education Levels ◽  
Variable Bias ◽  
The Relationship

Purpose Less educated supervisors create worker status incongruence, a violation of social norms that signals advancement uncertainty and job ambiguity for workers, and leads to negative behavioral and well-being outcomes. The purpose of this paper is to compare education levels of supervisors with their workers and measure the correlation between relative supervisor education and worker job satisfaction. Design/methodology/approach Using the only wave of the 1979 National Longitudinal Survey of Youth that identifies education levels of both supervisor and worker, a series of ordered probit estimates describe the relationship between supervisor education levels and subordinate worker well-being. Extensive controls, sub-sample estimates and a control for sorting confirm the estimates. Findings Worker well-being is negatively correlated with having a less educated supervisor and positively correlated with having a more educated supervisor. This result is robust to a number of alternative specifications. In sub-sample estimates, workers highly placed in an organization’s hierarchy do not exhibit reduced well-being with less educated supervisors. Research limitations/implications A limitation is the inability to control for worker fixed effects, which may introduce omitted variable bias into the estimates. Originality/value The paper is the first to introduce relative supervisor–worker education level as a determinant of worker well-being.

Economics of savings-based finance: an interest-free model of rotating savings and credit association in Turkey

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusuf Dinç ◽  
Rashed Jahangir ◽  
Ruslan Nagayev ◽  
Fahrettin Çakır
Keyword(s):  
Financial Market ◽  
Design Methodology ◽  
Data Set ◽  
Content Type ◽  
Unique Data ◽  
Credit Associations ◽  
Free Model ◽  
Savings And Credit Associations ◽  
Financing And Investment ◽  
Credit Association

Purpose The emerging markets have been witnessing a remarkable revival of rotating savings and credit associations (ROSCAs) serving as alternative informal financing and investment platforms, also known as savings-based finance (SBF) in Turkey. The purpose of this study is to present the SBF model mathematically, analyse the performance of the SBF sector and propose a new Sharīʿah-compliant SBF model for the acquisition of durables. Design/methodology/approach The paper thoroughly reviews the concept and practice of ROSCA across the globe, mathematically models and empirically analyses the performance of Turkish SBF companies using a unique data set. Findings The study formulates a two-person SBF model and proposes a Mudarabah-Wakalah hybrid model with a new investment feature. It is found that the concept of ROSCA is being operationalized in 105 countries across the globe under different names with slight business model modifications. The research also reveals that the demand for financing of durables in Turkey significantly increased in recent years with the demand for housing is twice greater compared to vehicles. Most importantly, a strong significant inter- and intra-comovement is observed between these durables implying that the success of the sector in one segment has attracted the customers to other SBF products. It shows that the SBF institutions can effectively serve as the alternative financing houses for pooling savings and financing the durables, and they have strong potential to capture a larger financial market share in Turkey and even globally. Originality/value The study constructs mathematical models and proposes a new investment wing to an existing SBF wealth fund.

Hedonic housing prices and environmental quality in Lebanon

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Walid Marrouch ◽  
Nagham Sayour
Keyword(s):  
Air Pollution ◽  
Housing Prices ◽  
Hedonic Pricing ◽  
Hedonic Model ◽  
Functional Regression ◽  
Data Set ◽  
Content Type ◽  
Local Air Pollution ◽  
Variable Bias ◽  
The Impact

Purpose This study aims to examine the impact of local air pollution on housing prices in Lebanon. Design/methodology/approach The authors apply a hedonic pricing approach using a unique data set from Lebanon. To account for non-linearities in pricing, the authors use three different functional regression forms for the hedonic model approach. The authors also deal with potential omitted variable bias by estimating a hedonic frontier specification. Findings The authors find that, in all specifications, air pollution negatively and significantly affects housing prices. The estimated marginal willingness to pay for a one microgram per cubic meter change in particulate matter (PM10) concentration ranges between 2.88% and 3.18% of mean housing prices. The authors also provide evidence of a negative pricing gradient away from the city center, landing support for the monocentric urban development hypothesis. Research limitations/implications Given the lack of a data set linking household socioeconomic characteristics with housing data, the authors only consider the first-stage hedonic model. Practical implications The proposed hedonic pricing regression approximates a housing pricing equation that can be used by policymakers. Social implications The findings suggest that pollution is a significant factor in household behavior in Lebanon. Originality/value This paper adds to the scant literature studying the effects of air pollution on housing prices in developing countries. To the best of the authors’ knowledge, this is the first paper to study the impact of pollution on housing prices in a country in the Middle East and North Africa Region.

scholarly journals Does lean cure variability in health care?

2017 ◽  
Vol 37 (9) ◽  
pp. 1229-1245 ◽  
Author(s):  
Oskar Roemeling ◽  
Martin Land ◽  
Kees Ahaus
Keyword(s):  
Health Care ◽  
Design Methodology ◽  
Field Research ◽  
Set Covering ◽  
Large Set ◽  
Structured Interviews ◽  
Data Set ◽  
Content Type ◽  
Unique Data ◽  
Quasi Experiment

Purpose The purpose of this paper is to investigate the roles that employee-initiated Lean improvement projects play in health care. Lean ideas are introduced to improve flow in health care. Although variability is detrimental to flow performance, it is unclear whether Lean initiatives set out to reduce this variability and the associated buffers. Design/methodology/approach Longitudinal field research is combined with an exploratory field-quasi-experiment. First, a large set of Lean interventions were explored and their focus classified. Semi-structured interviews with practitioners supported the initial findings regarding the focus. Second, this study investigated whether a knowledge deficiency could explain the identified focus through a quasi-experiment in which the authors’ stimulated knowledge on the roles of variability and buffers and then classified subsequent interventions. Findings The results reflected a narrow application of Lean, with most interventions directed at reducing direct waste. A quasi-experiment demonstrated that a small investment in knowledge enables the focus to shift toward buffers and variability issues – i.e. toward a more complete Lean approach. Research limitations/implications This research supports the commonly held view that there is a tendency to focus on waste. Furthermore, a lengthy experience of Lean does not guarantee interventions will focus on buffers and variability, issues with arguably a higher complexity compared to obvious waste. However, small investments in knowledge can broaden the focus of practitioners’ interventions. Originality/value This study is one of the first to research the focus of Lean interventions through a data set spanning several years. The results are based on a unique data set covering a large number of documented Lean interventions.

scholarly journals Does the crowd mean business? An analysis of rewards-based crowdfunding as a source of finance for start-ups and small businesses

2018 ◽  
Vol 25 (1) ◽  
pp. 147-162 ◽  
Author(s):  
Joe Cox ◽  
Thang Nguyen
Keyword(s):  
Small Businesses ◽  
Financial Support ◽  
Design Methodology ◽  
Set Covering ◽  
Data Set ◽  
Content Type ◽  
Unique Data ◽  
The Usa ◽  
The Uk ◽  
Start Ups

Purpose The purpose of this paper is to investigate the extent to which rewards-based crowdfunding really does provide financial support for start-ups and small businesses relative to other types of activity such as creative and cultural projects. Design/methodology/approach The paper reports findings from a series of multiple regression on a unique data set covering around 205,000 rewards-based crowdfunding projects across a number of leading platforms in the USA, the UK and Canada. Findings The authors report two main findings. First, rewards-based crowdfunding is highly inequitably distributed and that success is concentrated within a relatively small number of platforms and campaigns. Second, crowdfunding campaigns explicitly related to business perform relatively poorly compared with those in other categories; particularly those in creative areas such as music and dance. Originality/value These findings call into question the extent to which rewards-based crowdfunding really is a means by which significant numbers of start-ups can bridge gaps in the provision of finance.

scholarly journals A surrogate-based generic classifier for Chinese TV series reviews

2017 ◽  
Vol 45 (2) ◽  
pp. 66-74
Author(s):  
Yufeng Ma ◽  
Long Xia ◽  
Wenqi Shen ◽  
Mi Zhou ◽  
Weiguo Fan
Keyword(s):  
Design Methodology ◽  
Experimental Result ◽  
Digital Information ◽  
Data Set ◽  
Content Type ◽  
Category Labels ◽  
Information Supply Chain ◽  
Feature Selection Techniques ◽  
Practical Implications

Purpose The purpose of this paper is automatic classification of TV series reviews based on generic categories. Design/methodology/approach What the authors mainly applied is using surrogate instead of specific roles or actors’ name in reviews to make reviews more generic. Besides, feature selection techniques and different kinds of classifiers are incorporated. Findings With roles’ and actors’ names replaced by generic tags, the experimental result showed that it can generalize well to agnostic TV series as compared with reviews keeping the original names. Research limitations/implications The model presented in this paper must be built on top of an already existed knowledge base like Baidu Encyclopedia. Such database takes lots of work. Practical implications Like in digital information supply chain, if reviews are part of the information to be transported or exchanged, then the model presented in this paper can help automatically identify individual review according to different requirements and help the information sharing. Originality/value One originality is that the authors proposed the surrogate-based approach to make reviews more generic. Besides, they also built a review data set of hot Chinese TV series, which includes eight generic category labels for each review.

Risk-based capital regulation revisited: evidence from the early 2000s

2015 ◽  
Vol 23 (2) ◽  
pp. 115-134 ◽  
Author(s):  
Thomas L. Hogan ◽  
Neil R. Meredith ◽  
Xuhao (Harry) Pan
Keyword(s):  
Design Methodology ◽  
Banking Regulation ◽  
Bank Performance ◽  
Capital Regulation ◽  
Data Set ◽  
Content Type ◽  
Future Performance ◽  
Capital Ratios ◽  
Using Data ◽  
Capital Regulations

Purpose – The purpose of this study is to replicate Avery and Berger’s (1991) analysis using data from 2001 through 2011. Although risk-based capital (RBC) regulation is a key component of US banking regulation, empirical evidence of the effectiveness of these regulations has been mixed. Among the first studies of RBC regulation, Avery and Berger (1991) provide evidence from data on US banks that new RBC regulations outperformed old capital regulations from 1982 through 1989. Design/methodology/approach – Using data from the Federal Reserve’s Call Reports, the authors compare banks’ capital ratios and RBC ratios to five measures of bank performance: income, standard deviation of income, non-performing loans, loan charge-offs and probability of failure. Findings – Consistent with Avery and Berger (1991), the authors find banks’ risk-weighted assets to be significant predictors of their future performance and that RBC ratios outperform regular capital ratios as predictors of risk. Originality/value – The study improves on Avery and Berger (1991) by using an updated data set from 2001 through 2011. The authors also discuss some potential limitations of this method of analysis.

scholarly journals Subnational institutions and open innovation: evidence from China

2017 ◽  
Vol 55 (9) ◽  
pp. 1942-1955 ◽  
Author(s):  
Fei Sun ◽  
Junjie Hong ◽  
Xiuying Ma ◽  
Chengqi Wang
Keyword(s):  
Open Innovation ◽  
Design Methodology ◽  
Emerging Market ◽  
Market Development ◽  
Data Set ◽  
Content Type ◽  
Complementary Effect ◽  
Performance Consequences ◽  
Prior Literature ◽  
External Actors

Purpose The purpose of this paper is to examine how subnational institutions within a country explain the performance consequences of open innovation (OI) in emerging market enterprises (EMEs). Design/methodology/approach The paper conducts a regression analysis by using a novel panel data set comprising of 438 innovative Chinese firms over the period of 2008-2011. Findings The authors show that although on average openness to external actors improves innovation performance this effect is pronounced for EMEs that operate in subnational regions with a higher level of intellectual property rights (IPR) enforcement and of factor market development. The findings point to the context-dependent nature of OI strategy and the complementary effect of institutional parameters in emerging markets and help to reconcile the contrasting findings regarding the effect of OI in the prior literature. Originality/value This paper extends the literature on OI by suggesting that the analysis of the performance consequences of OI strategy should go beyond the nexus between OI and firm performance, and instead, focus on subnational-specific institutions, such as region-specific IPR enforcement, factor market development and intermediation market development, that may facilitate or constrain the effect of OI model.

How firms borrow in international bond markets

2018 ◽  
Vol 26 (1) ◽  
pp. 135-169
Author(s):  
Alberto Fuertes ◽  
Jose María Serena
Keyword(s):  
Emerging Economies ◽  
Design Methodology ◽  
Choice Behavior ◽  
Global Financial Crisis ◽  
Securities And Exchange Commission ◽  
Bond Markets ◽  
Data Set ◽  
Content Type ◽  
Parametric Analyses ◽  
The Global Financial Crisis

Purpose This paper aims to investigate how firms from emerging economies choose among different international bond markets: global, US144A and Eurobond markets. The authors explore if the ranking in regulatory stringency –global bonds have the most stringent regulations and Eurobonds have the most lenient regulations – leads to a segmentation of borrowers. Design/methodology/approach The authors use a novel data set from emerging economy firms, treating them as consolidated entities. The authors also obtain descriptive evidence and perform univariate non-parametric analyses, conditional and multinomial logit analyses to study firms’ marginal debt choice decisions. Findings The authors show that firms with poorer credit quality, less ability to absorb flotation costs and more informational asymmetries issue debt in US144A and Eurobond markets. On the contrary, firms issuing global bonds – subject to full Securities and Exchange Commission requirements – are financially sounder and larger. This exercise also shows that following the global crisis, firms from emerging economies are more likely to tap less regulated debt markets. Originality/value This is, to the authors’ knowledge, the first study that examines if the ranking in stringency of regulation – global bonds have the most stringent regulations and Eurobonds have the most lenient regulations – is consistent with an ordinal choice by firms. The authors also explore if this ranking is monotonic in all determinants or there are firm-specific features which make firms unlikely to borrow in a given market. Finally, the authors analyze if there are any changes in the debt-choice behavior of firms after the global financial crisis.

The Impact of ICT Investment on Establishment Productivity

2003 ◽  
Vol 184 ◽  
pp. 99-110 ◽  
Author(s):  
Thomas Zwick
Keyword(s):  
Panel Data ◽  
Unobserved Heterogeneity ◽  
Data Set ◽  
Omitted Variable Bias ◽  
Lagged Effects ◽  
Variable Bias ◽  
Employee Characteristics ◽  
The Impact ◽  
Establishment Panel Data

This paper finds substantial effects of ICT investments on productivity for a large and representative German establishment panel data set. In contrast to the bulk of the literature also establishments without ICT capital are included and lagged effects of ICT investments are analysed. In addition, a broad range of establishment and employee characteristics are taken account of in order to avoid omitted variable bias. It is shown that taking into account unobserved heterogeneity of the establishments and endogeneity of ICT investments increases the estimated lagged productivity impact of ICT investments.

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