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Book part
Publication date: 6 September 2021

Rachel S. Rauvola, Cort W. Rudolph and Hannes Zacher

In this chapter, the authors consider the role of time for research in occupational stress and well-being. First, temporal issues in studying occupational health longitudinally…

Abstract

In this chapter, the authors consider the role of time for research in occupational stress and well-being. First, temporal issues in studying occupational health longitudinally, focusing in particular on the role of time lags and their implications for observed results (e.g., effect detectability), analyses (e.g., handling unequal durations between measurement occasions), and interpretation (e.g., result generalizability, theoretical revision) were discussed. Then, time-based assumptions when modeling lagged effects in occupational health research, providing a focused review of how research has handled (or ignored) these assumptions in the past, and the relative benefits and drawbacks of these approaches were discussed. Finally, recommendations for readers, an accessible tutorial (including example data and code), and discussion of a new structural equation modeling technique, continuous time structural equation modeling, that can “handle” time in longitudinal studies of occupational health were provided.

Details

Examining and Exploring the Shifting Nature of Occupational Stress and Well-Being
Type: Book
ISBN: 978-1-80117-422-0

Keywords

Book part
Publication date: 18 November 2014

Randall B. Bunker and William F. Shughart

This research quantifies the economic impact of regional tax policy incentives included in the Gulf Opportunity Zone Act of 2005.

Abstract

Purpose

This research quantifies the economic impact of regional tax policy incentives included in the Gulf Opportunity Zone Act of 2005.

Design/methodology/approach

This research utilized linear mixed-effects modeling and multiple regression procedures with a matched sample panel dataset from 2002 through 2008 containing real-world county-level economic data.

Findings

The results indicated that the regional tax incentives provided by the GO Zone Act did not generate significant increases in key economic indicators included in this study. These tax incentives were intended to spur economic recovery, but based on research findings, they do not appear to have had the impact desired by Congress.

Research limitations/implications

Archival empirical data for the affected region make this study possible but also limit the ability to generalize these results to other regions. In addition, empirical research utilizing real-world data can be prone to internal validity issues that exist due to lack of environmental controls and other possible causal factors.

Originality/value

This research adds to the existing literature by using real-world county-level economic indicators to test the impact of tax policy investment incentives at the regional level and minimizes some of the issues addressed by prior empirical research and provides evidence on the effectiveness of tax policy investment incentives at the regional level.

Article
Publication date: 3 July 2017

Ting Zhang

The purpose of this paper is to illustrate the value of extended time span coverage of state longitudinal education and workforce data system to inform and improve the…

Abstract

Purpose

The purpose of this paper is to illustrate the value of extended time span coverage of state longitudinal education and workforce data system to inform and improve the effectiveness of future high impact expenditure decisions.

Design/methodology/approach

It used an analytical 29-year data file created by the author that links seven already-in-place education and workforce administrative record sources. Relying on the path dependency theory, multi-level mixed-effect logistic and multi-level mixed-effect linear regression models are used to test three hypotheses.

Findings

The findings are consistent with the hypotheses: inclusion of the multiple steps along a post-secondary education pathway and prior job histories are both critical to understanding workforce outcomes mechanisms; it takes time for the employment outcome effect to be evident and strong following education attainment.

Practical implications

The study concludes with research limitations and implications for decision makers to call for retaining and investing in administrative records with extended time span coverage, particularly for the already-in-place historical administrative records.

Originality/value

The paper is one of the first to demonstrate the value of extended time span coverage in a longitudinal state integrated data system through econometric modeling, using longitudinally integrated data linking seven administrative records covering continuously for 29 years. No matter for prior education or employment pathway, it is only through extended time span coverage that employment outcomes can be well measured and the rich nuances interpreting the mechanisms of education return on investment can be revealed.

Details

International Journal of Manpower, vol. 38 no. 4
Type: Research Article
ISSN: 0143-7720

Keywords

Article
Publication date: 3 April 2019

Michael Mayer, Steven C. Bourassa, Martin Hoesli and Donato Scognamiglio

The purpose of this paper is to investigate the accuracy and volatility of different methods for estimating and updating hedonic valuation models.

Abstract

Purpose

The purpose of this paper is to investigate the accuracy and volatility of different methods for estimating and updating hedonic valuation models.

Design/methodology/approach

The authors apply six estimation methods (linear least squares, robust regression, mixed-effects regression, random forests, gradient boosting and neural networks) and two updating methods (moving and extending windows). They use a large and rich data set consisting of over 123,000 single-family houses sold in Switzerland between 2005 and 2017.

Findings

The gradient boosting method yields the greatest accuracy, while the robust method provides the least volatile predictions. There is a clear trade-off across methods depending on whether the goal is to improve accuracy or avoid volatility. The choice between moving and extending windows has only a modest effect on the results.

Originality/value

This paper compares a range of linear and machine learning techniques in the context of moving or extending window scenarios that are used in practice but which have not been considered in prior research. The techniques include robust regression, which has not previously been used in this context. The data updating allows for analysis of the volatility in addition to the accuracy of predictions. The results should prove useful in improving hedonic models used by property tax assessors, mortgage underwriters, valuation firms and regulatory authorities.

Details

Journal of European Real Estate Research, vol. 12 no. 1
Type: Research Article
ISSN: 1753-9269

Keywords

Book part
Publication date: 29 October 2018

Aimee Hubbard

This study seeks to understand how work–life balance (WLB) changes over time, and if relational factors – relationship and sexual satisfaction – may have protective effects

Abstract

This study seeks to understand how work–life balance (WLB) changes over time, and if relational factors – relationship and sexual satisfaction – may have protective effects. Grounded in Bronfenbrenner’s (1986) family ecological theory a linear mixed effects analysis was used to analyze over 4,000 individual reports of WLB over three years.

The primary finding showed that on average, individuals rated their WLB just above average and their scores decrease over time. While relationship satisfaction did not have significant associations with WLB alone, the interaction between relationship and sexual satisfaction was found to be a protective factor, increasing WLB scores. This indicates that having higher sexual satisfaction can enhance the protective effect that relationship satisfaction has on WLB.

An intriguing finding was the significant difference in WLB scores for men compared to women. On average, men experience significantly lower WLB scores. This could be related to how WLB was measured, or possibly due to gender roles. Future research should further explore this relationship.

The results of this study provide information that researchers’ can consider as they design studies and interventions targeting WLB. An additional hope is that employers will consider these results when they create workplace policy and other initiatives.

This study is one of the first to explore WLB in association with relationship and sexual satisfaction and the interaction between sexual and relationship satisfaction. This chapter tests the interactions between mesosystems in a unique way that enhances researchers understanding of WLB.

Details

The Work-Family Interface: Spillover, Complications, and Challenges
Type: Book
ISBN: 978-1-78769-112-4

Keywords

Abstract

Details

Review of Marketing Research
Type: Book
ISBN: 978-0-7656-1305-9

Article
Publication date: 22 February 2011

Burcu Tasoluk, Cornelia Dröge and Roger J. Calantone

Although the use of data from different levels is very common in international marketing research, the practice of employing multi‐level analysis techniques is relatively new. The…

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Abstract

Purpose

Although the use of data from different levels is very common in international marketing research, the practice of employing multi‐level analysis techniques is relatively new. The paper aims to provide an application of a specific case of multi‐level modelling – where the dependent variable is dichotomous, which is often the case in marketing research (e.g. whether a consumer buys the brand or not, whether he/she is aware of the brand or not, etc.)

Design/methodology/approach

A hierarchical generalized linear model is employed.

Findings

Since this is a technical paper, the authors would like to emphasize the process rather than the empirical findings. In summary, the paper: provides a brief theoretical overview of Hierarchical Linear Modeling and Hierarchical Generalized Linear Modeling; illustrates the application of the method using the domains of consumers within countries and a dichotomous dependent variable; focuses on interpretation of log‐odds results; and concludes with practical issues and research implications.

Originality/value

The main value of this research is to demonstrate how to employ multi‐level models when the dependent variable is dichotomous. Multi‐level techniques are quite new in international marketing research, although nested data structures are relatively common in our field. This is a technical paper that guides the researchers as to how to apply and interpret the results when modeling such data with a dichotomous dependent variable.

Details

International Marketing Review, vol. 28 no. 1
Type: Research Article
ISSN: 0265-1335

Keywords

Article
Publication date: 27 July 2012

Shi‐Woei Lin and Ming‐Tsang Lu

Methods and techniques of aggregating preferences or priorities in the analytic hierarchy process (AHP) usually ignore variation or dispersion among experts and are vulnerable to…

Abstract

Purpose

Methods and techniques of aggregating preferences or priorities in the analytic hierarchy process (AHP) usually ignore variation or dispersion among experts and are vulnerable to extreme values (generated by particular viewpoints or experts trying to distort the final ranking). The purpose of this paper is to propose a modelling approach and a graphical representation to characterize inconsistency and disagreement in the group decision making in the AHP.

Design/methodology/approach

The authors apply a regression approach for estimating the decision weights of the AHP using linear mixed models (LMM). They also test the linear mixed model and the multi‐dimensional scaling graphical display using a case of strategic performance management in education.

Findings

In addition to determining the weight vectors, this model also allows the authors to decompose the variation or uncertainty in experts' judgment. Well‐known statistical theories can estimate and rigorously test disagreement among experts, the residual uncertainty due to rounding errors in AHP scale, and the inconsistency within individual experts' judgments. Other than characterizing different sources of uncertainty, this model allows the authors to rigorously test other factors that might significantly affect weight assessments.

Originality/value

This study provides a model to better characterize different sources of uncertainty. This approach can improve decision quality by allowing analysts to view the aggregated judgments in a proper context and pinpoint the uncertain component that significantly affects decisions.

Book part
Publication date: 18 October 2019

Mohammad Arshad Rahman and Angela Vossmeyer

This chapter develops a framework for quantile regression in binary longitudinal data settings. A novel Markov chain Monte Carlo (MCMC) method is designed to fit the model and its…

Abstract

This chapter develops a framework for quantile regression in binary longitudinal data settings. A novel Markov chain Monte Carlo (MCMC) method is designed to fit the model and its computational efficiency is demonstrated in a simulation study. The proposed approach is flexible in that it can account for common and individual-specific parameters, as well as multivariate heterogeneity associated with several covariates. The methodology is applied to study female labor force participation and home ownership in the United States. The results offer new insights at the various quantiles, which are of interest to policymakers and researchers alike.

Details

Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B
Type: Book
ISBN: 978-1-83867-419-9

Keywords

Book part
Publication date: 24 October 2023

Abbie L. Daly and Dimitri Yatsenko

Firms use Relative Performance Information (RPI) to improve employee performance; however, differences in employees’ remote work environments call into question whether RPI…

Abstract

Firms use Relative Performance Information (RPI) to improve employee performance; however, differences in employees’ remote work environments call into question whether RPI improves performance in remote work arrangements. By manipulating RPI provision across sections, the authors examine whether RPI improves performance in remote work arrangements using a field experiment in introductory accounting courses taught during the COVID-19 pandemic. The authors found that RPI improves performance in a remote work setting, as students receiving RPI achieved higher exam scores and increased their exam scores to a greater extent than students who did not receive RPI. The authors also found that lower performers improved performance more than higher performers in response to RPI, and the effect of RPI was more pronounced in those closest to meaningful thresholds. These results inform practice on the expected benefits of implementing RPI in a remote work setting.

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