Inverse Probability Weighted Regression Adjustment Research Articles

Does nutrition knowledge training improve dietary diversity and nutrition intake? Insights from rural China

AbstractImproving dietary diversity and nutrition intake among rural households is essential to promote sustainable rural development. In this study, we examine whether nutrition knowledge training increases rural households' dietary diversity, nutrition intake, and total calorie intake. We consider three macronutrients (proteins, fats, and carbohydrates) and three micronutrients (vitamin C, iron, and zinc) to capture nutrition intake. The doubly robust inverse probability weighted regression adjustment estimator is employed to estimate survey data of 765 rural households collected by the Institute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs of China. The results show that nutrition knowledge training enhances household dietary diversity, improves the intake of macronutrients in terms of proteins and fats and micronutrients in terms of zinc, and increases total calorie intake. In addition, the intake of nutrients and calories of males responds to nutrition knowledge training while that of females does not. The dietary diversity of females increases with nutrition knowledge training, whereas that of males is unaffected. {EconLit Citations: I12, I18, Q12, E24}.

Carbon farming training and welfare: Evidence from Northern Ghana

Carbon farming, particularly soil carbon climate strategies, has emerged as a popular tool in addressing climate change and variability in worldwide agriculture. Yet, there is a paucity of evidence on its application, and even more so, limited evidence exists on the welfare impacts in developing countries, where the negative impacts of climate change and variability remain disproportionately higher. One potential option of increasing adoption of carbon farming practices is training for farm households to produce their own organic inputs from locally available resources. This study evaluates a biochar and compost production training undertaken in three semi-arid regions of Northern Ghana using inverse probability weighting regression adjustment (IPWRA) model. Sensitivity analyses are performed by employing least absolute shrinkage and selection operator treatment effects (TELASSO) method. The results show that participation in carbon farming training increased the adoption of compost and perception on soil quality. We also find that the intervention had statistically significant positive effects on agricultural productivity (measured as maize yield) and welfare outcomes (such as increase in per capita household expenditure and reduction in poverty status). These positive results show the importance of using soil carbon climate strategies in improving the welfare of farm households in developing countries. The study recommends that carbon farming capacity building initiatives should be scaled up to improve farm productivity and poverty reduction of farm households in Sub-Saharan Africa (SSA).

Revisiting the wage effects of vocational education and training (VET) over the life cycle: The case of Thailand

This paper estimates the potential impact of vocational education on wage differentials between vocational and general graduates over the life cycle in Thailand, using the national Labor Force Survey (LFS) from 2017 to 2022. The returns to vocational education are analyzed at three levels of education: upper secondary, diploma, and college. The inverse-probability-weighted regression adjustment (IPWRA) method is implemented to account for non-random assignment in choosing the academic track. The results show, on average, that vocational educated workers receive higher wages than those with general education, but it has no significant differences by comparing to university graduates in science and engineering with the same years of education. Additionally, the wage premiums associated to vocational education tend to increase at older ages. The empirical evidence corroborates the crucial role of vocational education in increasing long-term earnings and the number of technical-skilled workers in the Thai labor market.

Input credit scheme, farm productivity and food security nexus among smallholder rice farmers: evidence from North East Ghana

PurposeThis study examined the impact of the Input Credit Scheme (ICS) by the Integrated Water Management and Agriculture Development (IWAD) on the productivity and food security of smallholder rice farmers in Ghana.Design/methodology/approachCross-sectional data from 250 rice farming households in the Mamprugu Moagduri district of the North East Region obtained from a multi-stage sampling technique were used for the study. Inverse Probability Weighted Regression Adjustment (IPWRA), Propensity Score Matching (PSM) and Kendall's coefficient of concordance were the methods of analysis employed.FindingsEmpirical results show that education, rice farming experience, dependency ratio, FBO membership, farm size and farm age were the significant factors influencing participation in the input credit scheme (ICS). Also, participants had an average rice productivity of 1,476.83 kg/ha, whereas non-participants had 1,131.81 kg/ha implying that participants increased their productivity by about 30%. In addition, the study revealed that participant households increased their household dietary diversity (HDDS) by 0.45 points amounting to about 8% diversity in their diets. High-interest rates associated with credit received, the short periods of credit repayment and the high cost of inputs provided under the scheme were the most challenging constraints associated with partaking in the ICS.Practical implicationsThe available literature on agricultural interventions have predominantly emphasized input credit as a key factor for improving cropt productivity and food security of smallholders. This study provides compelling evidence that participation in ICSs can result in substantial benefits for agricultural development, as evidenced by increased productivity leading to improved food security. The significance of these findings is highlighted by the fact that, through participation in input credit schemes, smallholder rice farmers in many developing countries see substantial improvement in their capacity to access productive resources, thereby improving their productivity, while simultaneously reducing food insecurity.Social implicationsLeveraging on the improved productivity of participants in the ICS, this study advocates that such input credit schemes should scale up to more food-insecure farming communities in Ghana.Originality/valueThe study uses a doubly robust econometric approach to evaluate the impact of ICS on smallholder rice farmers' productivity and food security in Ghana, making it the first of its kind. The findings offer a solid basis for future research and provide guidance for policymakers looking to boost agricultural development in Ghana.

Clean energy use and subjective and objective health outcomes in rural China

This study analyses the impact of clean energy use on rural residents' subjective health outcomes (self-reported health status, health change, and discomfort) and objective health outcomes (bronchitis, asthma, medical expenditure, and fitness expenditure). Using an inverse probability-weighted regression adjustment estimator and the 2018 China Family Panel Studies data, we address the selection bias associated with clean energy use and estimate the treatment effects. The empirical results show that farmers using clean energy (liquid gas, natural gas, methane, solar energy, or electricity) as the primary cooking fuel report improved health, a lower probability of physical discomfort, and higher fitness expenditures than non-users. Clean energy use does not significantly affect self-reported health, the probability of having bronchitis and asthma, or medical expenditures. The health effects of clean energy use on men differ from those on women; they also vary across different economic strata. We also find that farmers’ decisions to use clean energy are positively associated with their educational level, household income, whether they rent farmland, and their happiness levels but are negatively related to their age, family size, whether they own real estate, and the ratio of elders in their household.

The Deadly Cost of Informal Lending: An Economic Model of Agrarian Suicide in Punjab

The Indian state of Punjab, which initially benefited greatly from the green revolution, has suffered from a dramatic rise in agrarian suicides for several decades. We use a carefully constructed sample of over 1,000 farmers in the epicentre, and build a three-stage model of agricultural production decisions across multiple input and multiple output choices, indebtedness from multiple sources and suicide via an IPWRA (inverse probability weighted regression adjustment) treatment model to trace the potential roots of the situation. Results show that the use of informal credit from commission agents by farmers accounts for 10 percentage points (or 20%) of all suicides in our sample, regardless of other household factors and choices.

Voluntary and enforced tax compliance determinants and impact among agrochemical businesses in Ghana

PurposeThis paper examined tax compliance and its impact on agrochemical traders in Ghana.Design/methodology/approachBased on the registered agrochemical lists obtained from the Plant Protection and Regulatory Service Department, 92 agrochemical traders were sampled for data collection. Probit regression was used to estimate determinants of tax compliance, whereas the Inverse Probability Weighted Regression Adjustment Model was employed to evaluate the impact of tax compliance on business performance.FindingsThe results revealed that age and gender relate positively to enforced tax compliance, while education positively impacts voluntary tax compliance. Nonetheless, tax rate, trust and monthly sales positively affect voluntary tax compliance but negatively impact enforced tax compliance. Inversely, while authorities’ power negatively impacted voluntary compliance, it positively influenced enforced tax compliance confirming the Slippery Slope Framework.Originality/valueTo the best knowledge of the authors, this paper is the first to investigate tax compliance determinants and impact among agrochemical traders, despite the tremendous growth of the agrochemical sub-sector in Africa and Ghana. Therefore, this study makes a modest contribution to empirical studies that validate the Slippery Slope Framework in promoting tax compliance in the agricultural and agribusiness sectors of a developing country. Similarly, it also unearths the impact of tax compliance on agribusiness growth which has yet to be highlighted in the extant literature.

(Grand)childlessness and depression across men and women’s stages of later life

ABSTRACT The literature on how family status and health in later life relate is extensive. Although research has focused on the health effects of grandparenthood and grandparenting, explorations of whether ageing without children can lead to mental health impairments have achieved mixed results. We bridge empirical traditions to investigate the relationship between family status and mental health in Europe by using data from the Survey of Health, Ageing and Retirement in Europe (SHARE) and sampling roughly 160,000 men and women aged 50–89 from 17 European countries. Mental health is evaluated through depressive symptoms on the EURO-D scale and compared between childless or grandchildless people and grandparents at different ages. To identify the association between (grand)parenthood and mental health status net of confounders, we perform inverse probability-weighted regression adjustment (IPWRA). The rich information SHARE provides facilitates considering the common factors that may influence (grand)parenthood and depressive symptoms. Results show that the three groups hardly differ in mental health: grandchildless men and grandfathers reported fewer depressive symptoms, if any, than childless men aged 70–79. Overall, while mental health does not seem to relate to family status per se, it could be crucial when accounting for the entire individual life course.

Healthcare costs after kidney transplantation compared to dialysis based on propensity score methods and real world longitudinal register data from Sweden

This study aimed to estimate the healthcare costs of kidney transplantation compared with dialysis using a propensity score approach to handle potential treatment selection bias. We included 693 adult wait-listed patients who started renal replacement therapy between 1998 and 2012 in Region Skåne and Stockholm County Council in Sweden. Healthcare costs were measured as annual and monthly healthcare expenditures. In order to match the data structure of the kidney transplantation group, a hypothetical kidney transplant date of persons with dialysis were generated for each dialysis patient using the one-to-one nearest-neighbour propensity score matching method. Applying propensity score matching and inverse probability-weighted regression adjustment models, the potential outcome means and average treatment effect were estimated. The estimated healthcare costs in the first year after kidney transplantation were €57,278 (95% confidence interval (CI) €54,467–60,088) and €47,775 (95% CI €44,313–51,238) for kidney transplantation and dialysis, respectively. Thus, kidney transplantation leads to higher healthcare costs in the first year by €9,502 (p = 0.066) compared to dialysis. In the following two years, kidney transplantation is cost saving [€36,342 (p < 0.001) and €44,882 (p < 0.001)]. For patients with end-stage renal disease, kidney transplantation reduces healthcare costs compared with dialysis over three years after kidney transplantation, even though the healthcare costs are somewhat higher in the first year. Relating the results of existing estimates of costs and health benefits of kidney transplantation shows that kidney transplantation is clearly cost-effective compared to dialysis in Sweden.

Socioeconomic impact of improved variety of Chinese potato in Tamil Nadu

The socioeconomic impact was based on a farm household survey conducted in Tenkasi and Tirunelveli districts of Tamil Nadu among 200 Chinese potato producers during 2021/2022. A logistic regression model was employed to identify factors determining the adoption of ‘SreeDhara’, and the Inverse Probability Weighted Regression Adjustment (IPWRA) method was used to assess the impact of the adoption of ‘SreeDhara’ on yield and income. The cost of cultivation, gross income, and net income for ‘SreeDhara’ adopters were 7, 37, and 87% higher than for non-adopters. Years of schooling, farm income, access to extension services, and block dummies had significant, positive effects on adopting the variety. The IPWRA results indicated yield and income of ‘SreeDhara’ adopters were higher than non-adopters by 23.65 and 24.99 %, respectively. The most significant constraints to adopting Chinese potatoes were lack of awareness about ‘SreeDhara,’ inaccessibility to credit, and the non-availability of crop insurance. Thus, recognizing its higher nutritional value and potential farm income, institutional support in the form of better extension linkages, credit facilities, and crop insurance to Chinese potato growers needs to be strengthened.

Be my guest: the effect of foreign policy visits to the USA on FDI

We examine whether a country leader’s diplomatic visit to the USA affects the Foreign Direct Investment inflow. The literature so far has found inconclusive results regarding diplomatic relations' effect on international flows. We use a dynamic Inverse Probability Weighting Regression Adjustment framework to examine this relationship and estimate the causal effect of foreign visits. Our results indicate that a visit to the US increases the country’s total FDI inflows by up to one percentage point per annum, with a cumulative effect reaching 2.5 percentage points six years after the visit. However, this is a short-run effect as it disappears in the subsequent years. Furthermore, our first-stage results shed light on the profile of the leaders that visit the US. Our findings are consistent with the view that foreign visits act as signals to investors regarding the country’s political risk.

Does prescribing apixaban or rivaroxaban versus warfarin for patients diagnosed with atrial fibrillation save health system costs? A multivalued treatment effects analysis.

Non-valvular atrial fibrillation (AF) is a common heart arrhythmia in the elderly population. AF patients are at high-risk of ischemic strokes, but oral anticoagulant (OAC) therapy reduces such risks. Warfarin had been the standard OAC for AF patients, however its effectiveness is highly variable and dependent on close monitoring of the anticoagulant response. Newer OACs such as rivaroxaban and apixaban address these drawbacks but are more costly. It is uncertain which OAC therapy for AF is cost-saving from the healthcare system perspective. We followed a cohort of patients in Ontario, Canada, aged ≥ 66 who were newly diagnosed with AF and prescribed OACs between 2012 and 2017. We used a two-stage estimation procedure. First, we account for the patient selection into OACs using a multinomial logit regression model and estimated propensity scores. Second, we used an inverse probability weighted regression adjustment approach to determine cost-saving OAC options. We also examined component-specific costs (i.e., drug, hospitalization, emergency department and physician) to understand the drivers of cost-saving OACs. We found that compared to warfarin, rivaroxaban and apixaban treatments were cost-saving options, with per-patient 1-year healthcare cost savings at $2436 and $1764, respectively. These savings were driven by cost-savings in hospitalization, emergency department visits, and physician visits, outweighing higher drug costs. These results were robust to alternative model specifications and estimation procedures. Treating AF patients with rivaroxaban and apixaban than warfarin reduces healthcare costs. OAC reimbursement policies for AF patients should consider rivaroxaban or apixaban over warfarin as the first-line treatment.

ICT adoption and youth employment in Nigeria's agricultural sector

PurposeThis paper argues that through information and communication technology (ICT) adoption, the youth will be engaged in all nodes of the agricultural value chains, thereby improving the level of employment and reducing post-harvest losses. The study examines the determinants of ICT adoption among the youth. In addition, it estimates the impact of ICT adoption on youth employment in agriculture towards the actualisation of the Sustainable Development Goals (SDGs), particularly SDG-8, to promote inclusive and sustainable economic growth, productive employment and decent work for all.Design/methodology/approachThe study engages data from Wave 4 (2018/2019) of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). The logit regression, the propensity score matching and the inverse probability weighted regression adjustment are used as the estimation techniques.FindingsThe study underscores that educational level, access to electricity, location, age and income are significant determinants of ICT adoption among the youth. The findings also show that the youth's average weekly engagement in agricultural activities is about 24 h. In addition, the result reveals that ICT adoption can increase youth agricultural employment by approximately 21%. The mean difference indicates that those with access to ICT participate in agricultural activities more than their counterparts without ICT access by 29.46%.Research limitations/implicationsOne of the limitations of the study is that some of the variables such as insecurity, social protection/safety nets, that may have a significant influence on youth agricultural participation where not included in the model due to data constraint. As a recommendation for further studies, given data availability, such variables should be considered when examining youth-agricultural employment nexus.Practical implicationsSince ICT adoption has a significant impact on agricultural employment, this study proposes improved infrastructure facilities such as reliable power supply, lowering the cost of mobile and data subscriptions and better education facilities should be prioritised at all localities. This will enable the youth to embrace agriculture and help improve their socioeconomic welfare and livelihood.Originality/valueUsing Wave 4 of the LSMS-ISA, logit regression, propensity score matching and the inverse probability weighted regression adjustment, makes this study one of the very few to examine the impact of ICT adoption on agricultural employment among the youth in Nigeria. It implies that this study has provided empirical evidence and expanded the frontiers of knowledge on the extent to which ICT adoption influences youth agricultural employment in Nigeria.

Impact of adoption of heat-stress tolerant maize hybrid on yield and profitability: Evidence from Terai region of Nepal

Abiotic stresses (drought, heat) are one of the major impediments to enhancing the maize productivity of marginal farmers in the facet of climate change. The present study attempts to investigate the impact of heat-tolerant maize hybrid on yield and income in the Terai region of Nepal. This study uses cross-sectional farm household-level data collected in August 2021 from a randomly selected sample of 404 rural households. We used a doubly robust inverse probability weighted regression adjustment method to obtain reliable impact estimates. Adoption of heat-tolerant hybrid increases yields by 16% and income by 44% in the spring season (a stress condition). Overall, yield increases by 12%, net income by 31%, saving of 40% in seed costs, and per capita food expenditure increases by 8.50%. Hence a conducive environment must be created for scaling up heat-tolerant maize varieties to increase productivity, minimize risk, and transform of the maize sector.

Thrombectomy in M2 occlusion compared to M1 occlusion: treatment effects of Thrombolysis In Cerebral Infarction (TICI) 2b and TICI 3 recanalization on functional outcome

BackgroundEmerging data suggest that mechanical thrombectomy (MT) might also be safe and efficient for medium and distal occlusions. This study aims to compare average treatment effects on functional outcome of...

Social protection schemes in rural Rwanda: A panacea for household energy burdens?

The role of social protection programs in low-income countries is increasingly becoming a subject of interest on the development agenda in the public discourse. The literature reveals a diversity of findings about the role of social protection on household development outcomes. There is little documentation regarding how social protection schemes affect household energy burdens in rural areas, especially in Sub-Saharan Africa. Rwanda is one of the African countries that have taken deliberate steps to institutionalize the provision of social protection schemes to its citizenry. Therefore, this paper examined how accessibility to different social protection schemes affected household energy burdens in rural Rwanda using nationally representative household-level microdata (EICV5). Results from the Lewbel Instrumental Variable Estimator, nearest neighbor matching, and Inverse Probability Weighted Regression Adjustment showed that Vision 2020 Umurenge and Girinka social protection schemes significantly negatively affected household energy cost burdens. These study findings suggest that social protection schemes may require other efforts or policy instruments that might encourage use of modern energy services to address energy affordability barriers in rural areas.

Stronger Food and Nutrition Security Impacts from More Intense Project Participation: Evidence from a Multi-Country Intervention Program

Rigorous experiments show that nutrition-sensitive intervention programs can contribute to improved food and nutrition security (FNS) of rural households in low-and middle-income countries. Targeted individuals may, however, choose to engage with the intervention package at different intensities. It is yet unclear to what extent individual participation in more interventions influences FNS outcomes. Positive links would justify efforts by development stakeholders to diversify intervention packages and enable, encourage, or incentivize beneficiaries to participate in many different interventions. Using cross-sectional data from 2733 households across seven countries, we first estimate effects of a multi-sectoral intervention program using probit regressions, propensity score matching, and inverse probability weighted regression adjustment. Over the course of the three-year program, beneficiaries joined 8.3 interventions, on average. We find that targeted households were 6–9 percent more likely to be food secure, and targeted women and children were 15–17 percent more likely to consume a nutrient-adequate diet. Our estimates show that, across three indicators of FNS, each additional intervention increased the probability of achieving positive outcomes by about 1 percent. We conclude that investments in diversified intervention programs can be justified by stronger FNS benefits. Development stakeholders could enable strong individual participation by reducing transaction and opportunity costs of participation.

Rural electrification and women's empowerment in Côte d’Ivoire

PurposeThis paper assesses the impact of this program on the rural women's employment opportunities using data from the 2015 round of the household's living standard survey (HLSS) of Côte d'Ivoire.Design/methodology/approachIn 2013, in order to improve the living conditions of the rural population, the Ivorian government launched the National Program for rural electrification (PRONER) to electrify all localities with more than 500 inhabitants.FindingsThe results show that PRONER, while reducing the time allocated to performing household chores, increases women's employment through the reallocation of time to full-time paid work in the agricultural and non-agricultural sectors. The authors also find that the allocation of men's time is not affected by this programme. A possible mechanism that would explain such a pro-women effect is the labour-saving technology introduced to home production as an effect of the reform.Research limitations/implicationsAs a limitation, it is important to note that these results were obtained in the specific context of PRONER in Côte d’Ivoire and are not necessarily applicable to rural electrification programmes in other contexts. Furthermore, the choice of other indicators to measure women's empowerment is limited by the quality of the data available. It would be interesting for future research to extend this analysis to include other aspects of women's empowerment and household welfare.Originality/valueThis paper is the first to the author’s knowledge to apply a robust econometric method by combining an inverse probability weighted regression adjustment model with Heckman sample selection method to access a robust causal effect of the PRONER in Côte d'Ivoire.

Efectos de género y etnicidad en la brecha salarial entre jornaleros agrícolas del noroeste mexicano

The objective of this research is to analyze the effect of gender and ethnicity on the gender wage gap among farmworkers in the northwest region of Mexico, based on the 2020 census sample. By employing matching estimates and Inverse Probability Weighted Regression Adjustment (IPWRA) models, the effects on the mean and throughout the wage distribution of the sample are studied. It is observed that, in relation to gender and ethnicity, these are negative, especially when considered simultaneously, since among indigenous farmworkers, it is women who have the worst salaries. For women there are conditions of both a “sticky floor” and a “glass ceiling,” and for men only the second. The results indicate that part of this difference can be interpreted as a result of discrimination.

Impact of certification on market performance of cocoa industry in OSUN State, Nigeria

This study investigated the effect of certification on the market performance of the cocoa industry using primary data from a cross-sectional survey of 240 cocoa marketers. Considering counterfactual scenarios, this study analyzed the effects of certification on the net marketing margin of cocoa marketers using the endogenous switching regression model (ESRM) and for the robustness evaluation, inverse-probability-weighted regression adjustment (IPWRA) was utilized. Results showed that about 92% of the cocoa marketers were Licensed Buying Agents (LBAs) then the exporter (7%) and the least were cooperatives with about 3%. The results showed that 28% of the Licensed Buying Agents (LBAs) were certified while 35% of the exporters were certified. Also, the results revealed that 3 different marketing channels were used in the study area. The cost and return analysis revealed that certified marketers are efficient and more productive in their business compared to uncertified marketers. The ESRM treatment impact suggested that the average net marketing margin of certified cocoa marketers is higher than those that were uncertified. The study concluded that certification has helped to improve the marketing of cocoa marketers in the study.