Propensity Score Matching Techniques Research Articles

The impact of the COVID pandemic on health, healthcare utilization, and healthcare spending

This study investigates the impact of the COVID pandemic on healthcare utilization, spending, and health measures among the U.S. population during the first year of the pandemic. We utilize data from the Medical Expenditure Panel Survey and employ propensity score matching techniques to analyze the variation in healthcare outcomes due to the pandemic.Our findings indicate that the pandemic significantly reduced mental health status, the intensity of office, outpatient, and emergency room visits, and a corresponding decline in healthcare spending. On the other hand, we find improvement in health-related quality of life for most individuals, except for blacks, individuals with a high school degree or less, the uninsured, and the low-income population. The findings highlight disparities during the pandemic and the need for increased efforts to promote health equity.

Outward FDI, Profit Shifting, and Its Impact on the Tax Payments of the Parent Firm: A Case of Indian Manufacturing Firms

The study examines the links between India’s outward foreign direct investment (OFDI) and possible income-shifting activities by the parent firms. The exercise is undertaken by examining the impact of OFDI on parent firms’ tax payments, profitability, debt, and intangible assets. The study is driven by the observation that nearly 68% of India’s OFDI flows between 2008 and 2020 were directed to offshore financial centers (OFC). The study relies on the Reserve Bank of India’s (RBI) firm-level overseas direct investment data and the Prowess database. We employed the propensity score matching (PSM) technique in combination with the difference-in-difference method to investigate the post-investment effects. Results suggest that overseas investments have resulted in lower payment of corporate taxes, as well as indirect and direct taxes at home. Moderate negative effects were observed in the case of the profitability of the parent firm. On the contrary, OFDI resulted in higher debt levels, particularly for firms investing in OFC destinations. A positive impact on the firm’s intangible assets suggests that income shifting via relocation of intangible assets is not evident. The analysis calls for policies to counter the possible tax leakage at home due to firms investing overseas, especially in OFCs. JEL Classification F23, C14

Exploring the greenium in the green Sukuk universe: evidence from the primary market

Purpose This study aims to fill a gap in the literature by providing evidence for a “greenium” in the primary Sukuk market. The term “greenium” is defined in the study as the lower cost of capital or reduced yields that green Sukuk may offer compared to non-green Sukuk, reflecting investor willingness to accept lower returns for green investments. Therefore, the main aim of this study is to investigate the potential role of “greenium” as an incentive for issuers to fund eco-friendly projects, contributing to a sustainable environment. Design/methodology/approach This study uses propensity score matching techniques to provide an accurate comparison of pricing differences between green and non-green Sukuk issued in global primary markets during the period 2017–2022. Findings The results reveal that green Sukuk signify a “greenium” effect. This suggests that investors find green Sukuk attractive, willing to accept lower returns. Given the positive investor response to green initiatives in the market, issuers can capitalize on the growing demand for green Sukuk, leading to low-cost funding. Originality/value This study makes an important contribution to the literature at the interface of Islamic finance and environmental sustainability. In particular, it stands out by focusing on the pricing dynamics in the green Sukuk market and highlights the potential benefits of issuing green Sukuk to help achieve sustainability goals while providing access to lower cost of capital for the transition to a low-carbon economy.

Development and validation of HPV-associated and HPV-independent penile squamous cell carcinoma prognostic nomogram.

The aim of this study was to introduce HPV-associated and HPV-independent histologic classifications to analyze prognostic factors and develop a prognostic nomogram for patients with penile squamous cell carcinoma (PSCC). Data of 1502 PSCC patients between 2010 and 2020 were accessed from the SEER database, and the patients were randomly divided into a training set and a validation set. Independent risk factors for PSCC patients prognosis were analyzed by using univariate and multivariate COX proportional hazards regression, and was used for the construction of the nomogram, and the predictive performance of the model was evaluated by C-index, calibration curve and ROC curve. Kaplan-Meier analysis was applied to explore the impact of HPV-related factors on patient survival, while propensity score matching (PSM) and inverse probability treatment weighting (IPTW) techniques were used to balance other confounding factors like individual clinical and pathological factors, and to evaluate the differences in overall survival (OS) and cause-specific survival (CSS) between subgroups. The results indicated that histologic type, Grade classification, T/M stage, surgical methods and chemotherapy were independent risk factors affecting OS and CSS in PSCC patients. In addition, age and marital status were significantly associated with OS, while lymph node metastasis was an independent prognostic factor for CSS, the validation results of the model showed that the nomogram had a superior predictive performance compared with the American Joint Committee on Cancer staging system. In addition, subgroup analyses prior to and after IPTW and PSM adjustments showed that HPV-associated group had better OS and CSS than HPV-independent group. Our study developed and validated a nomogram using a novel histologic classification and achieved satisfactory results, which can better help clinicians to predict the prognosis of penile squamous cell carcinoma patients.

Impact of Stimulus Packages on Business Recovery During the COVID-19 Pandemic in Bangladesh

The COVID-19 pandemic significantly impacted Bangladesh’s economy, leading to disruptions in supply chains and a decline in business activities. To counter these effects, the government introduced stimulus packages aiming to aid business recovery. This article evaluates the impact of these measures using a unique dataset from the Business Confidence Index survey conducted by the South Asian Network on Economic Modeling in April 2021. This survey covered 503 firms across eight divisions in Bangladesh. Using the Propensity Score Matching technique for causal estimation, findings suggest that firms that availed the stimulus packages demonstrated around 9 percentage points higher recovery than those that did not. Such insights are instrumental for future policy design and strengthening evidence-based policymaking.

Impact of positive selection technology on seed yam productivity

Positive Selection (PS) technique has been shown to reduce virus infection and increase yields, however there is insufficient empirical evidence on how this technology affects seed yam farm productivity. This study employed Propensity Score Matching (PSM) technique to evaluate the impact of PS on seed yam yields of 368 farmers randomly selected from Ghana and Nigeria.The findings showed that educational attainment, distance from the farm to the nearest market, cropping patterns, and other factors influenced farmers' adoption of PS. Furthermore, the adoption of PS technology resulted in a 16.98 % boost in farm productivity for PS seed yam farmers compared to their productivity without the technology. It is of the utmost importance that PS adoption be supported by developing tailored training materials for farmers to improve their use of the PS technology.

Empowering Expecting Women to Obtain High-Quality Healthcare in Pakistan: An Evaluation of Khyber Pakhtunkhwa's Conditional Cash Transfer Program.

Maternal mortality, largely stemming from complications during pregnancy and childbirth, impacts poor expecting women with limited healthcare access in rural Pakistan. Conditional Cash Transfers (CCTs), commonly implemented in developing nations, are designed to improve the well-being of vulnerable populations by focusing on health and education. A CCT initiative named Chief Minister's Special Initiative for Mother and Child Health (CM-SIMCH) was launched in Khyber Pakhtunkhwa (KP), one of the less-developed provinces of Pakistan, to empower expecting women to access quality healthcare. This study investigates the factors influencing CM-SIMCH program participation and assesses its impact on the health of expecting women by analyzing health-seeking hospital visits in KP, Pakistan. The study utilizes the Propensity Score Matching (PSM) technique to analyze cross-sectional data obtained from 303 expecting women residing in the Nowshera district of KP. The PSM allows for a balanced comparison of participants who received the CM-SIMCH transfers with those who did not, assessing its impact on maternal healthcare access and outcomes. Empirical results show that factors such as education and family system positively influence the participation of expecting women in the CM-SIMCH program, whereas travel costs exert a negative effect. The intervention leads to a notable increase in hospital visits among these women, contributing to improved health outcomes in KP. This underscores the program's potential effectiveness in addressing maternal healthcare challenges and enhancing healthcare access for vulnerable women in less-developed areas. Therefore, empirical evidence supports the CM-SIMCH program's potential to promote maternal health and improve healthcare access in KP. The study recommends government intervention in health sector as a strategic imperative to empower women and enhance infant health.

The effectiveness of education assistance programs using AI innovation. Case for tackling school dropout in Morocco

Introduction: since 2008, Morocco’s Tayssir program has been a key public initiative aimed at combating school dropout rates, by offering conditional cash transfers to households with school-aged children, particularly targeting rural communities with high poverty rates. This initiative seeks to ensure equitable access to education, regardless of socioeconomic status, and boosted school attendance rates. Objective: to assess the impact of the Tayssir program on reducing school dropout rates in rural Morocco and to examine the effectiveness of targeting strategies and incentives provided to families. Methods: the study utilized cross-sectional data from the Household Survey Panel Data. Propensity score matching (PSM) techniques were employed to estimate the program’s impact on school dropout rates, comparing beneficiaries with a control group not participating in the program. Various statistical analyses were conducted to explore the characteristics of participants and to validate the logistic model used. Results: the propensity score matching analysis revealed a statistically significant reduction in school dropout rates among beneficiaries of the Tayssir program. The average treatment effect on the treated (ATET) demonstrated a decrease in dropout rates by approximately 43 % using one-to-one matching, 42,7 % with k-nearest neighbor, and 38,6 % via kernel matching methods. Furthermore, no significant gender differences were observed in the program’s impact. Conclusions: the Tayssir program has significantly contributed to reducing school dropout rates in rural Morocco, ensuring better access to education for children from disadvantaged backgrounds. The program’s effectiveness underscores the importance of targeted interventions and conditional cash transfers in promoting educational attainment. Future recommendations include expanding the beneficiary base, refining targeting mechanisms, and establishing a unified social registry to improve program governance.

Unlocking Financial Well-Being for People With Disabilities: The Importance of Financial Knowledge and Socialization Within the Family Context

Improving the financial well-being of people with disabilities is a pressing concern, given the documented lower levels of financial well-being among this population compared to the general population. Limited research, however, offers effective strategies for improving their financial well-being. This study investigates how financial knowledge and family financial socialization can be combined to enhance the financial well-being of people with disabilities. Using data from the 2016 National Financial Well-Being Survey, we employ multivariate analyses and propensity score matching techniques to test the robustness of our results and ensure our population comprised a nationally representative sample of people with disabilities. Our findings show that people with disabilities experience lower levels of financial well-being compared to those without disabilities. Furthermore, we find that self-assessed financial knowledge and financial socialization within the family context are positively associated with the financial well-being of people with disabilities. These findings have important implications for researchers and financial service professionals who work with people with disabilities. This study emphasizes the importance of tailoring financial education to the specific needs of people with disabilities and prioritizing financial education and financial socialization within the family context as critical mechanisms for enhancing their financial well-being.

Economic well-being induced Women's empowerment: Evidence from coastal fishing communities of Bangladesh

Women's empowerment is an important policy agenda that is critical for developing countries like Bangladesh to achieve sustainable development goals (SDGs). The prime objective of this paper was to examine whether community savings groups can truly improve the economic conditions of women which turns into women's empowerment in fishing communities or not. The propensity score matching (PSM) and logistic regression technique were incorporated, and required data were collected from Community Savings Groups (CSG) interventions and non-CSG villages of coastal Bangladesh. Quantitative data were collected from 615 women comprising 306 CSG participants (treatment group) and 309 non-participants (control group). The results affirm CSG group members were economically more solvent and less dependent on borrowed money than non-CSG group members. Improved economic indicators (savings, income and expenditure) of CSG households make the foundation of attaining women's empowerment for the intervened group. The findings revealed that CSG women performed better in various dimensions of leadership capacity than non-CSG women. Econometric analysis confirmed positive impacts of CSG interventions on savings, gross household income, earning from catching fish, alternative income-generating activities (AIGAs), expenditure, and women's empowerment. The initiatives of CSG not only generate economic well-being but also contribute to women's empowerment. Financial access, improved literacy and an enabling environment for the productive engagement of women reduce gender inequality in fishing communities. To sustain the benefits of CSG, establishing institutional linkages (advisory and financial), legality/registration of CSGs from the government authority, and facilitation of alternative IGAs are crucial.

Does the board of directors influence Shariah governance in Islamic banks?

This paper examines whether and how the board of directors influences Shariah board governance in Islamic banks. We use data from 54 Islamic banks from 10 countries where Islamic banks are systemically important from 2003 to 2019. The results show that the board of directors positively impacted Shariah governance. Our findings remain robust after using the dynamic panel GMM estimator and propensity score matching techniques as alternative estimation methods. We further document that the impact of the board of directors on Shariah board governance is more pronounced in large banks, publicly traded banks, and countries with better national governance.

Crop diversification and income of agricultural households in India: an empirical analysis

The present study empirically tests the relationship between crop diversification and farm income. The study area is India, the fifth largest economy of the world, and the units of study are its households which dominates India’s labor force. The propensity score matching technique is applied on the two waves of nationally representative data on agricultural households pertaining to agricultural year 2012–13 & 2018–19 to test the relationship between crop diversification and farm income. We find a strong and positive impact of crop diversification on farm income as farm income increases by around 13 per cent if non-diversified households opt for crop diversification. Furthermore, important factors such as literacy, access to market, access to irrigation, agricultural training, farming experience, and household size positively affects crop diversification at the household level. However, recent decline in the extent of diversification in India is a cause for concern. Promotion of cultivation of HVCs by giving them such institutional supports as initial capital required for switch to HVCs and other steps that insulates them from higher risks is the need of the hour in Indian agriculture.

Propensity score oversampling and matching for uplift modeling

In this paper, we propose a novel matching strategy to correct for confounding in uplift modeling. Our method, called propensity score oversampling and matching (ProSOM), extends the well-known propensity score matching (PSM) technique by addressing one of its main limitations: dealing with small datasets that face an imbalance in the distribution of the causal variable. Apart from this, we also face the additional complexity of dealing with class labels. The proposed method establishes a parallel between uplift modeling and class-imbalance classification as it extends existing oversampling techniques to create synthetic elements from the treatment group. We design an algorithm that performs classaware data oversampling in the treatment group, and then it matches samples from this group with the control group. This can be seen as a novel hybrid undersampling-oversampling solution for causal learning. Experiments on five datasets show the virtues of ProSOM in terms of predictive performance, achieving the best Qini coefficient for all five datasets in relation to PSM and other resampling solutions.

Migraine Association with Alzheimer's Disease Risk: Evidence from the UK Biobank Cohort Study and Mendelian Randomization.

Epidemiological studies on the association between migraine and Alzheimer's disease (AD) risk have yielded inconsistent conclusions. We aimed to characterize the phenotypic and genetic relationships between migraine and AD. To investigate the association between migraine and the risk of AD by analyzing data from a large sample of 404,318 individuals who were initially free from all-cause dementia or cognitive impairment, utilizing the UK Biobank dataset. We employed Cox regression modeling and propensity score matching techniques to examine the relationship between migraine and subsequent occurrences of AD. Additionally, the study utilized Mendelian randomization (MR) analysis to identify the genetic relationship between migraine and the risk of AD. Migraine patients had a significantly increased risk of developing AD, compared to non-migraine patients (adjusted hazard ratio (HR) = 2.34, 95% confidence interval (CI) = 2.01-0.74, P < 0.001). Moreover, the propensity scores matching analyses found that migraine patients had a significantly higher risk of developing AD compared to non-migraine patients (HR = 1.85, 95%CI = 1,68-2.05, P < 0.001). Additionally, the MR suggested that significant causal effects of migraine on AD risks were observed [odds ratio (OR) = 2.315; 95% confidence interval (CI) = 1.029-5.234; P = 0.002]. Moreover, no evidence supported the causal effects of AD on migraine (OR = 1.000; 95%CI = 0.999-1.006; P = 0.971). The present study concludes that migraine patients, compared to a matched control group, exhibit an increased risk of developing AD. Moreover, migraine patients exhibit an increased predisposition of genetic susceptibility to AD. These findings hold significant clinical value for early intervention and treatment of migraines to reduce the risk of AD.

Association of scrub typhus with the risk of venous thromboembolism and long-term mortality: a population-based cohort study.

The existing literature lacks studies examining the epidemiological link between scrub typhus and deep vein thrombosis (DVT) or pulmonary embolism (PE), and the long-term outcomes. The objective of this study is to explore the potential association between scrub typhus and the subsequent risk of venous thromboembolism, and long-term mortality. This nationwide cohort study identified 10,121 patients who were newly diagnosed with scrub typhus. Patients with a prior DVT or PE diagnosis before the scrub typhus infection were excluded. A comparison cohort of 101,210 patients was established from the general population using a propensity score matching technique. The cumulative survival HRs for the two cohorts were calculated by the Cox proportional hazards model. After adjusting for sex, age, and comorbidities, the scrub typhus group had an adjusted HR (95% CI) of 1.02 (0.80-1.30) for DVT, 1.11 (0.63-1.93) for PE, and 1.16 (1.08-1.25) for mortality compared to the control group. The post hoc subgroup analysis revealed that individuals younger than 55 years with a prior scrub typhus infection had a significantly higher risk of DVT (HR: 1.59; 95% CI: 1.12-2.25) and long-term mortality (HR: 1.75; 95% CI, 1.54-1.99). The scrub typhus patients showed a 16% higher risk of long-term mortality. For those in scrub typhus cohort below 55 years of age, the risk of developing DVT was 1.59 times higher, and the risk of mortality was 1.75 times higher. Age acted as an effect modifier influencing the relationship between scrub typhus and risk of new-onset DVT and death.

The Innovation Behaviour of Turkish Manufacturing Firms: An Analysis of Additionality

Innovation and R&amp;D activities have significant effects on economic development and firm success. Innovation is a key factor in economic development through productivity gains. However, firms do not perform the socially optimal level of innovation due to market failures. Therefore, innovation activity is largely supported by governments for both developed and developing countries with the aim of creating additionality. While additionality effects from government supports are widely discussed for developed countries, there is scarce evidence for developing countries. The aim of this article is to analyse innovation behaviour of Turkish firms based on firm characteristics. Further, the behavioural additionality of government support is also analysed in order to provide a full picture. For this aim, the innovation structure is analysed using a multinomial logit model and the additionality effects are analysed using the propensity score matching (PSM) technique. Results indicate that firms that are profit-oriented, produce for the internal market and have an internal R&amp;D unit, are more likely to implement organization and/or marketing innovation in comparison with product innovation. In addition, the same pattern is observed in companies that received government support. The results additionality indicate positive effects on behavioural additionality; however, this effect is evaluated to be limited.

The Prognostic Value of Serum Sialic Acid in Patients with Nasopharyngeal Carcinoma: A Propensity Score Matching Study.

Elevated serum sialic acid (SA) is one of the indicators of poor prognosis in various malignant tumors. This study intends to determine the relationship between serum SA levels and survival prognosis in nasopharyngeal carcinoma (NPC). From 2014 to 2016, NPC patients with no distance metastasis undergoing intensity-modulated radiotherapy (IMRT) were retrospectively analyzed. The serum SA levels before initial treatment were measured, and an optimal cut-off level was determined by X-tile software. A propensity score matching (PSM) technique was applied to reduce intergroup differences between the low serum SA level group and the high serum SA level group. Chi-square tests were utilized for comparing intergroup differences, Kaplan-Meier approach was utilized for plotting survival curves, and univariate and multivariate Cox proportional hazards regression models were employed for analyzing prognostic factors. Overall, 293 NPC patients with no distance metastasis were included. The optimal cut-off level of serum SA was 65.10 mg/dl. The baseline levels after PSM were more balanced compared to those before PSM. Survival analysis showed that the locoregional relapse-free survival (LRRFS, p=0.010), distant metastasis-free survival (DMFS, p=0.014), progression-free survival (PFS, p=0.009), and overall survival (OS, p=0.015) survival curves of the low serum SA level group and high serum SA level group were statistically significant differences. Univariate analysis showed that American Joint Committee on Cancer (AJCC) stage, T stage, N stage, neoadjuvant chemotherapy (NC), and serum SA expression level were factors influencing the prognosis of NPC patients. Multivariate analysis showed that high serum SA expression level was related to worse PFS and OS in NPC patients with no distance metastasis. High serum SA level (SA > 65.10 mg/dl) before treatment is associated to poor survival outcomes in NPC and is an independent adverse prognostic factor in NPC patients with no distance metastasis.

Estimating Heterogeneous Effects of Land Titling on Rural Household’s Agricultural Productivity: Evidence From the Southern Highland Regions of Tanzania

This paper analyses the effect of land titles on agricultural productivity in the southern highland regions of Mbeya and Ruvuma and assesses the potential mediating effect of access to credit. The contribution of this paper to the existing literature is threefold. First, it contributes to the general literature on the impact of land titling on agricultural performance. Second, it investigates whether access to credit is an important mediating variable. Third, it assessed whether households respond differently depending on farmer and land characteristics. To contribute to the evidence on the impact of land titling four hypotheses were tested: Since the study is based on observational data, propensity score matching technique was employ to determine the land titling effects. The findings suggest that land titles have a statistically significant positive effect on productivity. This can at least partially be explained by an increase in credit access for titled households. The study results further suggest heterogeneous effects of titles, which vary with age of the head of household and size of land cultivated.

Socio-economic impact of COVID-19 pandemic on dairy farm households in West Bengal state

India is one of the leading economies that have been stuck hard by the COVID-19 pandemic and the stringent measures were put in place to combat it. Among several sectors, dairy sector is the most affected as dairy products are highly perishable and rely on time-sensitive supply chains. Though studies are available on the impact of COVID-19 pandemic on dairy sector, there are no studies on COVID-infected dairy farm households. The present study was an attempt to assess the socio-economic impact of COVID-19 pandemic on infected and uninfected dairy farm households in West Bengal. The study covered pre-lockdown, lockdown (both 1st and 2nd wave) and post-lockdown phases of COVID-19 pandemic. The primary data was collected from 150 dairy farm households (COVID-19 infected-75 and uninfected-75) in Murshidabad and Nadia districts of West Bengal. Dairy Economic Performance Index consisting of number of milch animals, milk yield, marketed milk, milk procurement price, concentrate price and veterinary cost was developed using principal component analysis. In order to make infected and uninfected groups statistically comparable, propensity score matching technique was employed. The index values were compared between matched infected and uninfected groups over different phases of COVID-19 pandemic. Dairy households incurred significant economic losses during the lockdown and post-lockdown periods due to increase in cost of concentrates, decline in the number of milch animals and drop in milk procurement prices. Dairy households faced constraints in procuring dry fodder, concentrate feed and in accessing veterinary care. COVID-19 infected dairy farm households had a greater socio-economic hurdle than that of uninfected households.

Assessment of impacts of adoption of improved sweetpotato varieties in Ghana: accounting for differences in male and female farmers

New agricultural technologies, such as high yielding varieties and improved agronomic practices could significantly increase agricultural productivity leading to improved welfare of those who participate in them. Feedback effects on adoption of agricultural technologies in low-income countries are important in prioritization of funding to the agricultural sector. Through a multistage randomized sample of 526 farmers and employing propensity score matching technique to correct selection bias, the study assessed the effect of adoption of improved sweetpotato varieties on farmers’ yields and incomes comparing separate effects on men and women farmers. Results revealed that income and yield increased with adoption. Men benefited more than women due to access to extension, improved varieties and productive inputs. Nonetheless, men and women had significant increases in yield and income. Results also showed that land and credit play a role in adoption of technologies. Supporting research extension systems to promote and disseminate improved varieties is recommended.