Job satisfaction is an essential factor influencing employees as well as employers. This study aims to identify and compare overall job satisfaction determinants among young adults in Poland in two dimensions, i.e., economic and socio-demographic. The ordered logit model was built upon the data...

We study cluster-robust inference for binary response models. Inference based on the most commonly-used cluster-robust variance matrix estimator (CRVE) can be very unreliable. We study several alternatives. Conceptually the simplest of these, but also the most computationally demanding, involves...

This study delves into the intricate relationship between corporate innovation and public support, underscoring innovation's vital role in driving economic growth and competitiveness. Recognizing the multifaceted nature of innovation, from product and process improvements to organizational and...

In the literature on Philippine public procurement, knowledge gaps exist in terms of coverage of period of reform implementation and scope of reform application. This study helps close these gaps by analyzing Philippine public procurement history up to the years of application of the 2016...

We examined the relationships between the compositional changes in demographic and socioeconomic factors and the changes in the prevalence of material deprivation in rural and urban areas in Poland. Using the European Union Statistics on Income and Living Conditions (EU-SILC) data for 2019-2020,...

El mobiliario es una necesidad en la vida moderna, tanto para las actividades individuales como las sociales. Su producción demanda gran cantidad de recursos y los fabricantes han trabajado en mitigar sus impactos ambientales. Con este estudio se investigó si las características de estos...

This paper aims to understand the health effects of energy poverty in Germany using SOEP panel data from 2010 to 2020. Linear probability models and fixed effects ordered logit models reveal a consistently negative relationship of three expenditures based energy poverty indicators with general...

Furniture is a necessity in modern life, both for individual and social activities. Its production demands a large amount of resources and manufacturers have worked to mitigate its environmental impacts. This study investigated whether the characteristics of these sustainable products influence...

Understanding the complex and multidimensional nature of poverty is essential for designing effective and targeted policy interventions in rural Ethiopia. This study examined the determinants of multidimensional poverty in Bilate River Basin in South Ethiopia, employing cross-sectional household...

Accepting a certain degree of investment loss risk is essential for long-term portfolio management. However, overconfidence bias within financial literacy can prompt excessively risky behavior and amplify susceptibility to other cognitive biases. These tendencies can undermine investment loss...

This study investigates the feasibility and socio-economic determinants of adopting solar-powered irrigation (SPI) systems in Bangladesh, focusing on their financial impact in boro rice production compared to dieselpowered irrigation (DPI). Sustainable irrigation technologies are critical for...

According to the Federal Reserve of the United States, in the second quarter of 2024, American credit card debt reached USD 1.14 trillion, the highest balance ever recorded. In an age of high-interest, complex credit cards, how does financial literacy affect credit card debt repayment? Also, how...

Using a discrete choice experiment (DCE), we analyze how social comparisons and financial information influence households' preferences and trade-offs among three sustainable electricity demand behaviors: conservation actions, efficiency investments, and purchasing a green power mix. Our results...

This paper aims to understand the health effects of energy poverty in Germany using SOEP panel data from 2010 to 2020. Linear probability models and fixed effects ordered logit models reveal a consistently negative relationship of three expendituresbased energy poverty indicators with general...

The spatial distribution of future renewable capacities is a key determinant for developing appropriate grid expansion plans. This is particularly relevant for onshore wind energy. Existing studies mostly extrapolate future installations based on existing capacities and available sites. As wind...

This paper studies a dynamic ordered logit model for panel data with fixed effects. The main contribution of the paper is to construct a set of valid moment conditions that are free of the fixed effects. The moment functions can be computed using four or more periods of data, and the paper...

This study aims to analyze the typology of regional inequality in Indonesia and the opportunity for regional inequality shifts due to changes in independent variables. The analysis method is carried out using the Williamson index and the Theil index. Furthermore, multinomial logit regression...

Touristic mobility is a major contributor to greenhouse gas emissions, particularly due to the dominance of private vehicle. This study explores the determinants of sustainable transport choices among domestic tourists in Spain, focusing on how individual, territorial, and digital factors...

In this paper we provide an empirical analysis of German casino locations. Due to the "mercantilistic background" of casinos, we assume that casinos are more likely to be found at borders and tourist areas. Although the location decision has been made in the past, we use cross-sectional data at...

This paper studies for the first time the links between interbank liability and equity markets (financial exposure), and mergers and acquisitions (M&As) in the European banking sector, both at the micro and macro level. Using a binary logit model, the paper first examines - at the micro level -...

In this study we develop an early warning system (EWS) to forecast currency crises in emerging countries in Asia and Latin America, using logit regression on monthly data from 1992 to 2011. We found that macroeconomic and institutional variables are valuable indicators for forecasting crises....

Saving is an important factor in households' welfare in developing countries. However, most studies have focused on urban areas and at the macroeconomic level. Consequently, such studies mask the reality of rural households, which constitute a large proportion in Ethiopia. Hence, this study aims...

Nowadays, poverty is one of the most important issues that needs due attention in many developing countries like Ethiopia. Nonetheless, poverty in Ethiopia remains widespread in both rural and urban areas. Therefore, this study aimed to examine the determinants and status of poverty in Berehet...

Urban areas confront a chronic shortage of housing, especially in the low-rent segment. This precarious situation is further exacerbated by major challenges, like the destruction of housing by wars and natural catastrophes, rapid increase of demand, or pandemics cutting incomes. In response, the...

We study cluster-robust inference for binary response models. Inference based on the most commonly-used cluster-robust variance matrix estimator (CRVE) can be very unreliable. We study several alternatives. Conceptually the simplest of these, but also the most computationally demanding, involves...