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...

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...

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...

Using k-means clustering, we analyse two years of hourly electricity consumption data from approximately 4,000 households, based on specific consumption features. We identify three distinct clusters with clearly differentiated consumption levels and daily load profiles. A multinomial logit model...

Dynamic social norms have been recognized as a promising approach to promote energy sufficiency. By highlighting trends and future shifts rather than current states, dynamic norms allow for a better focus on emerging norms that are not widely adopted. While existing studies predominantly examine...

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,...

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...

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...

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...

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...

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...

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...

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...

Adoption of agricultural technology packages got considerable attention in enhancing smallholders' food security and farm income in Ethiopia. However, the impact evaluation of such technology packages' contributions to households' food security and income are limited. This study is aimed at...

Customer churn is a recurring problem in bank marketing, and there are several machine learning approaches that can help. This paper compares two of them: a Multilayer Perceptron (MLP) neural network and logistic regression. We used the UCI Bank Marketing dataset, which has 41,188 client records...

This paper exclusively examines the relationship between corporate culture-specifically innovation variables-and the success of digital firms in Saudi Arabia. Importantly, it provides significant empirical evidence highlighting the role of different innovation components-such as shared...