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With the growing popularity of sports in Taiwan, the Sports Administration under the Ministry of Education introduced the Taiwan iSports Corporate Award campaign. This emphasised sports for employees and assisted in developing and supporting corporate social responsibility (CSR) activities in the sports industry through collaboration with firms, thereby enhancing their corporate image, facilitating the recruitment of high-quality employees and highlighting healthy human resources and brand value. Can sports-based CSR performance reflect firms' market values and reduce their market risks? This study regards Taiwan iSports Corporate Award announcements as important sports-based CSR disclosures and incorporates financial econometrics to examine the relationship between the announcement of sports-based CSR performance and firms' market values and risks.

An event study is conducted to clarify the reactions of the Taiwan iSports Corporate Award announcement event on the abnormal returns of award-winning firms during the 2016–2021 period, and a regression discontinuity design (RDD) model is employed to verify the robustness of the empirical results using the event study method.

Taiwan iSports Corporate Award announcements are not significantly reflected in the positive abnormal returns of award-winning firms. No causal relationship is found between the two. However, there are signs of relatively less systematic risks when investing in award-winning firms than in the market.

This study provides empirical evidence and managerial implications for Taiwan iSports Corporate Award-winning firms. It effectively enables business operators, sponsors or investors to understand the reactions of announcing sports-based CSR performance on the financial market and provides references for corporate organizations' CSR and sustainable development.

Education researchers have been urged to utilize causal inference methods to estimate the policy effect more rigorously. While randomized controlled trials (RCTs) are the gold standard for assessing causality, RCTs are infeasible in some educational settings, particularly when ethical concerns or high cost are involved. Quasi-experimental research designs are the best alternative approach to study educational topics not amenable to RCTs, as they mimic experimental conditions and use statistical techniques to reduce bias from variables omitted in the empirical models. In this chapter, we introduce and discuss the core concepts, applicability, and limitations of three quasi-experimental methods in higher education research (i.e., difference-in-differences, instrumental variables, and regression discontinuity). By introducing each of these techniques, we aim to expand the higher education researcher's toolbox and encourage the use of these quasi-experimental methods to evaluate educational interventions.

This study examined the determinants of mobile health (M-Health) application, adoption, usage and discontinuation among corporate workers diagnosed with hypertension and diabetes in Ghana.

The diffusion innovation and reasoned action theories were employed using an exploratory design. Three hundred corporate workers diagnosed with diabetes and hypertension from three health facilities for the past six months were sampled for the study using a multi-stage sampling technique and administered questionnaires. Descriptive statistics and logistic regression tools were employed in the analysis of data.

The study found a significant number of factors influencing m-health applications adoption, usage and discontinuity. These factors include nature and demand of job, perceived advantage, compatibility, complexity, triability, aesthetics and trust. Aesthetics emerged as the strongest predictive factor for the adoption, usage and discontinuity of use among diabetic and hypertensive corporate workers. With the adoption of M-Health applications, compatibility, as well as nature and demand of job, were significant predictors. With the usage of M-Health applications, complexity, triability, aesthetics and trust were significant predictors. Moreover, perceived advantage, compatibility, complexity and triability influenced significantly the choice to discontinue using M-Health applications. The study concluded that M-Health application functionalities play a valuable role in patients’ intention to adopt, use and discontinue the use of an M-Health application in Ghana.

This exploratory study offers in-depth insight into how major M-Health application features affect its adoption, usage and discontinuity, providing crucial information for future research and the improvement of chronic condition healthcare delivery.

While the value of human capital for technological innovation is well acknowledged, literature on the role of vocational training in corporate innovation is notably scarce. The purpose of this study is to assess the effect of government support for small and medium-sized enterprise (SME) competencies on Korean firms’ innovation. The author investigates SMEs’ patent applications (supported by the government to varying degrees) while accounting for firms’ market position, ownership and management structure, as well as prior changes in firms’ technologies, products, processes and other characteristics. Alternative hypotheses about management motivation – the “lazy manager”, “career concerns” and “special East Asian institutional constraints” hypotheses – are also evaluated.

Censored and count data analysis methods are used on a panel of 595 Korean firms covering 2005–2015 from the Korean Human Capital Corporate Survey, Intellectual Property Office and National Investment Commission. A regression discontinuity estimator accounts for potential endogeneity because of support for vocational training at firms.

Firms receiving training support are more innovative than firms without support, but latent effects may play a role. The regression-discontinuity model suggests that firms that succeeded only marginally in obtaining support had higher innovative output than non-recipients near the eligibility threshold.

The findings of this study establish that government support had the intended effect on SMEs’ technological capacity. This cannot be discounted as a simple crowding-out effect. The author also establishes that management–ownership separation within firms was conducive to innovation, that product competition had an inverse U-shaped effect and that management–ownership separation had a substitutable relationship with competition in overcoming managers’ effort avoidance. The findings support the “lazy manager” hypothesis over the “career concerns” and the “special East Asian institutional constraints” hypotheses.

This paper aims to take a step in this direction and use the high dimensional fixed effects and quantile regression discontinuity design to test the managerial Coase theorem, which provides an institutional perspective for us to gauge the impact of private property rights on firm performance and the effect of management costs on intermediate inputs.

This study first uses high dimensional regression discontinuity designs to examine the impact of privatization on firm performance in China between 1998 and 2013.

Results indicate that privatization effects increase average outputs of the firm by around 10% given lower management costs, and management costs increase intermediate inputs by more than 50% points. Using data from annual surveys to test managerial Coase theorem, the authors show that management costs negatively affect the marginal effect of privatization on the average outputs of the firm. The positive impact on the investment in intermediate goods and services is larger in magnitude under higher management costs.

The authors develop the managerial Coase theorem. Today, given lower management costs, private property rights provide an incentive structure for a firm to maximize the value of the assets and expand the boundaries.

This study aims to test the effect of Seattle’s discontinuous sidewalk requirement, on the number of housing units per construction permit.

This study uses discontinuity linear regression (DLR) on a database of Seattle’s housing construction permits during January-2015 to January-2018, controlled by 51 socioeconomic, planning and geographic variables. The sidewalk requirement is continuous inside the designated urban villages; however, it is spatially and quantitatively discontinuous in the rest of the city: certain blocks at certain locations require sidewalks’ design and construction in permits with six or more housing units. DLR detects the effect of the discontinuity while controlling for a vast array of confounding variables.

The primary finding is that the discontinuous requirement reduces the number of housing units in about 75% of a housing unit per permit, which at the aggregate level amounts to around 335 fewer housing units during the period of analysis.

The database is relatively small, which has limited a more thorough specification process and robustness tests.

Besides directly testing the effect of a discontinuous in-kind development contribution, the research setup allows to discuss a wider, more structural problem: the possibility of contributions avoidance due to spatial substitution. In contrast, spatially continuous (i.e. city-level) contributions cannot be avoided by performing spatial substitution, and they are internalized by the housing supply side (market-neutral).

This study investigates how the introduction of a stricter loss carryforward offset rule affects firms' innovation.

This study investigates the overall impact of a Korean tax reform that introduced a tighter loss deduction through a difference-in-differences approach and regression discontinuity design.

This study finds that firms subject to the more restrictive tax loss offset provisions tend to file fewer patents than firms not subject to the provision. The authors further find that this effect is more pronounced for firms with high R&D intensity, more investment opportunities and weaker monitoring mechanisms.

The results of this study suggest that more restrictive loss carryforward provisions may deter firms from innovation. This study contributes to the literature on the impact of tax loss rules, the effect of tax policies on investments and the real effects of corporate taxation.

This study sheds light on the debate of the consequences of a Korean tax reform. Specifically, the authors examine whether a stricter tax loss offset policy indeed dampens corporate innovation.

This study exploits a unique and infrequent exogenous tax policy change. The South Korean tax reform creates a treatment group of large firms that were affected by the tax reform, and a control group of small and medium-sized firms that were unaffected. This study takes advantage of this setting to examine the research question.

This study investigates how working-age Asian immigrants' educational attainment and professional abilities when arriving in the United States have evolved over the past 4 decades and draws inferences on the impact of the US employment based visa policies.

Using data from the 1980, 1990 and 2000 census and American Community Survey for 2001 to 2019, the study adopts multivariate regression and regression discontinuity design to investigate the trends in educational and occupation selection among Asian immigrants and the association with policy changes in the H1B visa program.

The findings suggest that new Asian immigrants were more positively selected for education than non-Asian immigrants and US natives and this pattern of positive selection increased over time. Newly arrived South Asian and East Asian immigrants had the highest share of highly educated professionals than Southeast Asians and US-born persons. I infer that the enactment and changes in the H1-B program might have contributed to the changing patterns of the educational and occupational selection among East and South Asian Immigrants. The results also shed light on how Asian immigrants' skill selection might be related to the size of Asian diasporas in the US and sending countries' income, inequality and education level.

The story of changing the skill profile (educational and occupational profile) of newly arrived Asian immigrants during 1980–2019 can provide valuable policy implications. US immigration policies are routinely criticized for being inefficient and outdated. The economic prosperity of Asian countries over time also provides an excellent opportunity to test the theories pertaining to how sending countries' income, inequality and education level of the population are associated with Asian migrants' education and occupation when arriving in the US. This study can provide insightful perspectives for policymakers and business decision-makers to adapt to the changing demographics of Asian migrant workers. The most recent reports on Asian immigrants in the US highlighted the aggregated trends of migration flow and education. Still, none have provided a longitudinal and nuanced review of Asian immigrants' educational and occupational selection into the US.

Advances in Econometrics is a series of research volumes first published in 1982 by JAI Press. The authors present an update to the history of the Advances in Econometrics series. The initial history, published in 2012 for the 30th Anniversary Volume, describes key events in the history of the series and provides information about key authors and contributors to Advances in Econometrics. The authors update the original history and discuss significant changes that have occurred since 2012. These changes include the addition of five new Senior Co-Editors, seven new AIE Fellows, an expansion of the AIE conferences throughout the United States and abroad, and the increase in the number of citations for the series from 7,473 in 2012 to over 25,000 by 2022.

This study aimed to empirically examine the effectiveness of disclosing user comment history without disclosing personal identity as a nudge policy to refrain users from posting malicious content online.

The authors collected the number of comments and posters from the leading portal website in South Korea, Naver.com. To causally investigate the impacts of the new nudge policy on the number of comments and posters, the authors used the regression discontinuity design (RDD) approach.

The authors found that the new policy reduced all types of comments, including the number of malicious comments, self-deleted comments and current comments. This resulted in an overall decrease in the total number of posted comments, which is considered a side effect. In addition, the authors found that the effect of the nudge policy, which disclosed user comment history, has a stronger effect on older female users than their counterparts.

The study findings extend the current knowledge on a nudge policy being implemented by a website as a means to reduce malicious online content and how it impacts user content posting behaviors.