889 Results Found

The paper provides probability estimates of the state of the GDP growth. A regime-switching model defines the probability of the Greek GDP being in boom or recession. Then probit models extract the predictive information of a set of explanatory (econ...

Accurately estimating the incubation period of emerging infectious diseases, defined as the time interval from infection to symptom onset, is essential for informing quarantine strategies and allocating public health resources. To address the challen...

Corporate fraud is not only curtailed investors’ rights and privileges but also disrupts the overall market economy. For this reason, the formulation of a model that could help detect any unusual market fluctuations would be essential for investors....

The increasing health costs of and the risks factors associated with obesity are well documented. From this perspective, it is important that the propensity of individuals towards obesity is analyzed. This paper uses longitudinal data from the Househ...

Purpose: As animal welfare becomes increasingly important, there is a corresponding desire to reduce the number of animals used in experiments. Recently, we reported on statistical models for a local anaesthetic simulator and developed a simulator fo...

Transport policymakers need to have an in-depth understanding of public transport (PT) customers in order to effectively manage transport systems and maintain the attractiveness of these systems to potential users. This research aims to compare the p...

There has been growing attention among major developed countries to alternative food products using vegetable-derived ingredients to help animal welfare and environmental sustainability. The development of ICT technology and awareness of animal welfa...

Vaccine hesitancy remains a major public health concern in the effort towards addressing the COVID-19 pandemic. This study analyzed the effects of indicators of compliance with preventive practices on the willingness to take COVID-19 vaccines in Keny...

With the rapid increase of motorization in China, transitions have taken place in regards to traditional private transportation modes. This paper aims to understand four types of vehicle ownership within a household, including automobile, motorcycle,...

This paper introduces a new econometric framework for modeling fractional outcomes bounded between zero and one. We propose the Fractional Probit with Cross-Sectional Volatility (FPCV), which specifies the conditional mean through a probit link and a...

With the recent developments in widespread internet usage and digital technology, an ultimate worldwide transformation in information and communications technology has occurred. Especially, how people engage in the virtual market for buying and selli...

This study investigates the role of symmetric probabilistic models in predicting financial distress in the automotive industry, with a focus on companies operating in the Slovak Republic. Financial distress prediction represents a binary classificati...

COVID-19 remains a pressing development concern in Malawi. The third wave of viral infection upsurge raised significant concerns on people’s compliance with preventive methods already introduced by the government, among which vaccination is not...

Road intersection crashes remain a major contributor to injuries due to complex conflict patterns and multimodal interactions. Among the factors influencing intersection safety, inadequate intersection sight distance (ISD) attributed to roadside sigh...

Prior studies have typically analyzed the injury severity of bus or taxi passengers at the crash level or single-vehicle level, neglecting vehicle-level interdependence between them. To address the gap, this research sets out to analyze the factors c...

This study assessed farmers’ perception of climate change, and estimated the determinants of, and evaluated the relationship among, adaptation practices using the multivariate probit model. A survey in 300 agricultural households was carried ou...

The existing studies on drivers’ injury severity include numerous statistical models that assess potential factors affecting the level of injury. These models should address specific concerns tailored to different crash characteristics. For rea...

Urbanization and low productivity are real threats to the sustainability of organic farming. The adoption of farm machinery plays a vital role in overcoming these threats to ensure a sustainable and more profitable organic farming model. Farm machine...

Poverty remains a major problem among refugees, and the COVID-19 pandemic seems to have exacerbated its incidences. In Kenya, although refugees ordinarily face serious economic conditions, COVID-19 worsened their economic status. The objective of thi...

A critical aspect of modeling binomial response data is selecting an appropriate link function, as an improper choice can significantly affect model precision. This paper introduces the skew–t link model, an extension of the skew–probit m...

Using a sample of 1166 maize-planting farmers from Liaoning province in China, in this paper, we provide a new explanation for the slow-proliferation situation of straw return. Both our theoretical and empirical results indicate that the low rate of...

Informal public transportation remains the backbone of urban mobility in many developing cities. While these systems offer flexible and affordable services, they are often associated with safety issues, unreliability, congestion, and environmental im...

Background: The growing incidence of mortality as a result cardiovascular diseases (CVDs) is a major public health concern in several developing countries. In Ghana, unhealthy food consumption pattern and sedentary lifestyle are promoting overweight...

In the context of an increasingly digitized global marketplace, this study seeks to shed light on its adoption in developing countries, focusing on Morocco. Applying logit, probit, and conditional mixed-process probit models to a sample of 807 Morocc...

We seek to determine whether a United States President’s job approval rating is influenced by the Misery Index. This hypothesis is examined in two ways. First, we employ a nonlinear model that includes several macroeconomic variables: the curre...

Rural livelihood diversification has become a central policy in rural development and poverty alleviation. Farmworkers in irrigation schemes are a typical poor sub-group that has received little attention in research regarding their livelihood status...

The adoption of soil conservation practices is widely recognized as essential in improving soil fertility and promoting climate-smart agriculture in general. Yet, smallholders’ adoption of soil conservation practices in Sub-Saharan Africa has not bee...

Regression analysis of interval-censored failure time data commonly arises in biomedical studies, particularly when the available sample size is limited. Although many methods have been proposed for the semiparametric probit model with interval-censo...

Financial anxiety is one of the most stress-causing factors, destabilizing students’ academic activities and performance. This study investigated whether there was any financial anxiety in international students in higher education institutions...

This research aimed to investigate livestock owners’ willingness to pay (WTP) for a hypothetical livestock vaccination program in southern Ethiopia. We used both primary and secondary data. The former data were collected from 377 livestock farm...

Quality assurance programs (QAPs) may add value to wines through reassuring consumers of wine quality prior to purchase and consumption. In Tennessee, the potential to use a wine QAP is being explored as a means to improve the industry’s econom...

Safeguarding the environment and its citizens’ health remains one of the key policy priorities of the governments of many developing and emerging countries. Using the 2017 General Household Survey (GHS) dataset, this study examines the driving...

The livestock sector is a significant contributor to the economy and rural livelihoods, but it is exposed to high risk across the supply chain, which is detrimental and needs to be addressed for sustainable development. Therefore, this study aimed to...

Protecting cropland quality is a fundamental national policy that China must adhere to for the long term. This study examines the impact of market-oriented allocation of land factors on farmers’ cropland quality protection behaviors and its mec...

Many studies have shown that credit is crucial for the adoption of new agricultural inputs and technologies in developing countries. Hence, the issue about how financial institutions select farmer applicants to give loans to is very important. We use...

Climate change presents significant challenges to agriculture in developing nations, affecting farmers’ livelihoods and food security. In Ethiopia, agriculture is crucial to the economy and the well-being of millions. This study focuses on anal...

This study presents a novel examination of shared mobility’s viability and impact in Amman, Jordan, framed within the context of sustainable urban transportation. A rigorous methodological approach that integrates advanced statistical models in...

Smallholder farmers who rely on home garden agroforestry are experiencing significant impacts from climate change. To mitigate these effects, it is crucial for farmers to have access to various adaptation strategies. This study collected data from 38...

Inflation expectations are central to monetary policy transmission, yet relatively little is known about whether individuals’ own investment experiences are associated with how they form such expectations across different forecast horizons. Thi...

Access to credit plays an important role in the adoption of modern agricultural practices, such as better seeds, pesticides, and fertilizers, as well as in the sustainable utilization of land by smallholder farmers. This study explores the dynamics o...

There is not much literature on objective Bayesian analysis for binary classification problems, especially for intrinsic prior related methods. On the other hand, variational inference methods have been employed to solve classification problems using...

Based on the China Health and Retirement Longitudinal Study (CHARLS) data, this paper estimates the long-term association between food insecurity and later adult health and health behaviors with the Probit model. The results show that food insecurity...

We utilized all Spanish marriage records available at the municipality level from 2005–2007 to model spatial variations in intermarriage. We constructed a spatial regime zero-inflated Poisson model and grouped-data probit model, with spatially...

The issue of ensuring food and nutrition security has become a prominent item on the global agenda, particularly for low-income countries with high population growth rates. Despite the implementation of numerous policies and programs with the objecti...

Micro-enterprises are at the heart of industrialized countries’ political concerns, particularly in Europe. If the latter are the subject of such special attention, it is because of their important role in terms of economic growth. This study e...

The study aims to examine the clustering of infant deaths in India and the relative contribution of infant death clustering after accounting for the socio-economic and biodemographic factors that explain the decline in infant deaths. The study utiliz...

Work–life balance (WLB) has become a critical component of social sustainability, yet empirical evidence remains uneven across economic sectors. While existing research predominantly focuses on service-oriented and public-sector occupations, co...

Comprising the largest population cohort on this planet, Gen Z presents a future-oriented consumer segment driven by climate change and food. This study sought to investigate Gen Z’s perceptions toward plant-based foods and diets and explore th...

With the rapid evolution of the rural digital economy, analyzing the impact of digital literacy level on farm households’ formal borrowing is crucial for easing credit constraints and fostering rural economic growth. Leveraging the data from th...

Purpose: This study aims to compare the prediction accuracy of traditional distress prediction models for the firms which are at an early and advanced stage of distress in an emerging market, Pakistan, during 2001–2015. Design/methodology/approach: T...