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Without controlling for selection bias and the potential endogeneity of the treatment by using proper methods, the estimation of treatment effect could lead to biased or incorrect conclusions. However, these issues are not addressed adequately and properly in higher education research. This study reviews the essence of self-selection bias, treatment assignment endogeneity, and treatment effect estimation. We introduce three treatment effect estimators – propensity score matching analysis, doubly robust estimation (augmented inverse probability weighted approach), and endogenous treatment estimator (control-function approach) – and examine literature that applies these methods to research in higher education. We then use the three methods in a case study that estimates the effects of transfer student pre-enrollment debt on persistence and first year grades. The final discussion provides guidelines and recommendations for causal inference research studies that use such quasi-experimental methods.

This paper aims to introduce matching in propensity score analysis (PSA) as an alternative statistical approach for researchers looking to make causal inferences using intact groups.

An illustrative example demonstrated the varying results of analysis of variance, analysis of covariance and PSA on a heuristic data set. The three approaches were compared by results and violations of statistical assumptions.

Through the illustrative example, it is demonstrated how different statistical approaches can produce varied results. Only PSA mitigated pre-existing group differences without violating the assumption of independence.

This paper attempts to answer calls in the literature for more robust statistical methodologies to better inform human resource development practice and theory.

Agriculture in Ghana is dominated by smallholder farmers in rural areas. Majority of these farmers are resource-poor and faced with serious challenges in accessing formal financial services towards farming needs attributed to the stringent requirements. To bridge this gap, village savings and loan associations (VSLA) have been promoted in rural areas as an alternative to meeting the credit needs of smallholder farmers. Credit plays a vital role in input acquisition among farmers for improved agricultural value productivity. This study assesses the contribution of VSLA to agricultural value productivity in the Northern Region of Ghana.

The methodology is a primary cross-sectional data collected with the help of a semi-structured questionnaire. This study, therefore, applied a propensity score matching (PSM) to assess the effects of VSLA on agricultural value productivity.

Results from the PSM revealed that extension contact, contract farming, television set ownership, participating in “Planting for Food and Jobs” and nature of roads, including receiving VSLA information from members' increases participation decision of farmers in VSLA. Conversely, age of a farmer, household size, distance to output market and farmers in the Sagnarigu Municipality have negatively influenced VSLA participation. The propensity score matching estimates showed that members of VSLA obtained 38.2% higher agricultural value productivity than non-members.

Village savings and loans associations can be promoted among smallholder farmers as an effective alternative to formal financial service for inclusive development.

The Brazilian Government created the Bolsa Familia program to combat poverty and the insertion of so many children into the labor market. This program is an income transfer program subject to certain conditions such as a minimum school attendance for children under 17 years of age. In 2006, almost half of the people with an income per capita of R$300.00 (US$139.53) per month declared that they received this benefit. Accordingly, the purpose of this paper is to analyze the impact of Bolsa Familia on child labor in Brazil in 2006.

The authors used a propensity score matching model with data from the National Household Sample Survey PESQUISA NACIONAL POR AMOSTRA DE DOMICÍLIOS (PNAD), for 2006.

Results indicate that the program increased the number of hours of child labor in Brazil. However, this outcome might be explained by the fact that those families who received Bolsa Familia were also those with higher socioeconomic vulnerability. Thus, they need to guarantee their survival with the income generated via child labor.

The Brazilian Government needs to invest not only in monetary transfer policies but also in the improvement of the job market to create opportunities for the social development of children.

The contribution of the paper is the investigation into the effect of the Bolsa Familia program on the average time allocated to child labor; the authors find that this time allocation could be reduced by requiring a compulsory school attendance.

This study aims to explore the impact of decentralized long-term rental apartments on the value of in-community housing from two perspectives of housing price and rent.

This study uses the hedonic model to identify the factors affecting the housing value, and the influence of distributed long-rented apartments on the housing value in the community is analyzed from two aspects of housing price and rent by using the ordinary least square method and propensity score matching method.

The primary finding indicates that decentralized long-term rental apartments increase housing prices while decreasing general rental housing rents in the community, with the average degree of increase ranging from 0.93% to 2.59% and the average degree of decrease ranging from 2.23% to 4.34%. According to additional research, the prices of houses within communities rise by 0.042% for every 1% increase in the share of decentralized long-term rentals, while the rents for other types of rental property fall by 0.162%.

The government can regulate the housing market by regulating the access and layout of distributed long-rent apartments.

The findings of this study indicate that the existence and share of distributed long-rent apartments have a heterogeneous impact on the housing price and rent in the community, respectively.

Using the most recent observations (2005‐2011) from a sample of UK listed companies, This paper aims to investigate whether Big 4 audit firms exhibit a “fee premium” and, if this is the case, whether the premium is related to the delivery of a better audit service.

Univariate tests, multivariate regressions and two methodologies that control for self‐selection bias are used to answer the proposed research questions. Data are collected from DataStream.

Findings provide consistent evidence about the existence of an “audit fee premium” charged by Big 4 firms while they do not highlight any significant relationship between audit quality and type of auditor with respect to the audit quality proxies investigated.

Evidence from this paper might signal the need for legislative intervention to improve the competitiveness of the audit market on the basis that its concentrated structure is leading to “excessive” fees for Big 4 clients. Findings might also enhance Big 4 client bargaining power. However, as the paper analyses only one country, generalizability of the results might be a limitation.

This study joins two streams of the extant literature that investigate the existence of a “Big 4 audit fee premium” and different levels of audit quality among Big 4 and non‐Big 4 clients. Evidence supports the concerns raised by the UK House of Lords in 2010 that the concentrated structure of the audit market could be the driver of “excessive” fees for Big 4 clients as it does not find differences in audit quality between Big 4 and non‐Big 4 clients.

Considering the substantial benefits derived from the use of Building Information Modeling (BIM) in construction projects, governments and its related sectors have introduced mandatory policies requiring the use of BIM. However, little is known about the impact of mandatory policies on BIM-based project performance. Therefore, the purpose of this paper is to provide a systematical understanding on the impact of policy interventions on the implementation practice of innovative technologies.

This paper utilizes the propensity score matching and difference in differences (PSM-DID) method to investigate the impact of policy interventions on BIM-based project performance. Using the panel data collected from 2015 to 2021 in the Hong Kong construction industry, this paper explores the impact of the first mandatory BIM policy on the BIM-based project performance of three key stakeholders.

The subjective BIM performance and BIM return on investment (ROI) have significantly improved after implementing the mandatory BIM policy. The promotion effect of mandatory BIM policy on BIM-based project performance gradually increases over time. Moreover, the promotion effect of mandatory BIM policy on BIM performance shows significant heterogeneity for different stakeholders and organizations of different sizes.

This study examined the impact of policy interventions on BIM-based project performance. The research findings can provide a holistic understanding of the potential implications of innovative mandatory policy in performance improvement and offer some constructive suggestions to policymakers and industry practitioners to promote the penetration of BIM in the construction industry.

This paper investigates whether short-time work (STW) schemes were successful in their objective of maintaining employment and keeping workers employed within the same firms after the onset of the financial and economic crisis in 2008.

Spanish longitudinal administrative data has been used, making it possible to identify short-time work (STW) participation not only of workers but also of employers and allowing to know the future labour market status of participants and non-participants. Accordingly, treatment and control groups are defined, and Propensity Score Matching models estimated. The dependent variable is measured as the probability that an individual remained employed with the same employer in the future (one, two and three years) after implementation of a STW arrangement.

Our results suggest that treated individuals are about 5 percentage points less likely to remain working with the same employer one year later than similar workers, and this negative effect of participation increases over time. Thus, STW schemes would not have the assumed effect of preventing unemployment by keeping the participants employed relative to non-participants.

As our analysis is based on the comparison of the employment trajectories of participant and non-participant workers in firms that have used STW arrangements, our findings cannot be interpreted as the job saving effects of either macro or micro studies carried out previously.

The analysis carried out in the paper is complementary to the country-level and firm-level approaches that have been used in the empirical literature.

We adopt a worker-level approach. This is novel since no previous study has focused attention on the impact of STW participation on the subsequent labour market status of workers.

This study seeks to identify locational and gendered determinants of inclusion of households in Livelihood Empowerment Against Poverty (LEAP) and estimate the respective impacts of LEAP on children education enrolment of beneficiary households in Ghana.

The study used secondary data of the Ghana Living Standard Survey Round 7 and employed the propensity score matching (PSM) model for the analysis of the objectives.

The PSM results established that different factors determine the inclusion of households in LEAP in rural and urban areas. Similarly, different factors determine the inclusion of male-headed and female-headed households in the programme. The impact of LEAP on children education is higher in urban areas compared to rural areas. The impact of LEAP on children's education is 10.4% higher in urban areas than in rural areas. Lastly, female-headed households are better at using the cash received from LEAP to take care of their wards' education relative to male-headed households.

The study recommends that different selection criteria should be used in selecting male-headed and female-headed as well as urban and rural poor households for inclusion in the LEAP programme. Female-headed households should be prioritised for benefiting from LEAP. The social welfare department disbursing the LEAP funds in rural areas should intensify education on the need for LEAP beneficiary households to enrol their wards in schools.

In this paper, the authors demonstrate that household inclusiveness of LEAP is influenced by locational and gendered factors. Also, the impact of LEAP on children education enrolment is relatively higher in urban areas than rural areas. Lastly, female-headed households relatively educate their wards with LEAP benefits than male-headed households.

This study explores how the firm’s proprietary information has an impact on the bank loan contracts. It explains the propensity of using the competitive bid option (CBO) in the syndicate loans to solicit the best bid for innovative firms and how it changes based on industry competition and the degree of innovations. This research also examines how the interstate banking deregulation (Interstate Banking and Branching Efficiency Act) in 1994 affected the private loan contracts for innovative borrowers.

The study uses various econometric analyses. First, it uses the propensity score matching analysis to see the impact of patents on pricing terms. Second, it uses the two-stage least square (2SLS) analysis by implementing the litigation and non-NYSE variables. Finally, it studies the impact of the policy change of the Interstate Banking and Branching Efficiency Act of 1994 on the bank loan contracts.

Firms with more proprietary information pays more annual facility fees but less other fees. The patents are the primary determinants of the usage of CBO in the syndicate loans to solicit the best bid. While innovative firms can have better contract conditions by the CBO, firms with more proprietary information will less likely to use the CBO option to minimize the leakage of private information and the severe monitoring from the banks. Finally, more proprietary information lowered the loan spread for firms dependent on the external capital after the interstate banking deregulation.

The findings of this research will help senior executives with responsibility for financing their innovative projects. In addition, these findings should prove helpful for the lawmakers to boost economies.