This paper aims to reassess multidimensional poverty measurement including the ease of doing business as an additional indicator with the existing measurements for 81 countries by human development, and identify how multidimensional poverty has changed during a very short period from 2014 to...

This study investigates the correlation between the Gini index and gross domestic product (GDP) in two of the world’s largest capitalist economies: the United States and the United Kingdom. Utilizing econometric methods, including stationarity tests and linear regression, this research work...

High nonresponse rates have become a rule in survey sampling. In panel surveys there occur additional sample losses due to panel attrition, which are thought to worsen the bias resulting from initial nonresponse. However, under certain conditions an initial wave nonresponse bias may vanish in...

This paper examines the relationship between family stressors and subsequent financial behavior of young individuals in Croatia. Previous research indicates that family stressors are associated with increased levels of financial stress, resulting in impulsive purchases, risky financial behavior,...

In the evolving landscape of e-commerce, digital skills serve as a fundamental determinant of effective engagement, influencing the overall online purchasing experience and the ability to address encountered problems. This research, based on Eurostat data for 2021 across 36 European countries,...

The paper describes the marketing mix modeling results for companies in nonfood retailing. The main objectives of the research are to demonstrate the viable way of making effective recommendations for optimizing the media strategy by modeling offline and online traffic to the stores based on...

Governments across the globe are implementing stricter environmental policies to combat climate change and promote sustainability. This study contributes to the growing literature exploring the influence of environmental policy on skill-biased employment across various occupations. Specifically,...

The propensity score defining the probability of completing a given degree of education - to balance covariates - and the Mincer equation is here estimated at various degrees of higher education. The novelty is in implementing propensity score and regression estimators together in a...

We exploit policy discontinuities in Poland’s unemployment insurance to examine the causal effect of changes to both benefit durations and levels. Using a regression discontinuity approach, we uncover three findings: (1) Higher benefit levels distort employment more than benefit extensions....

Whether gender-targeted cash transfers effectively redistribute resources to women and children in poor households remains an open question. We examine Uruguay’s largest social assistance program, Asignaciones Familiares (AFAM), which is directed at poor families with children and paid to...

In many manuscripts, researchers use multivariable logistic regression to adjust for potential confounding variables when estimating a direct relationship of a treatment or exposure on a binary outcome. After choosing how variables are entered into that model, researchers can calculate an...

Is the quality of a 91-point wine significantly different from that of an 89-point wine? Which wines are underpriced relative to their evaluation of quality? This paper addresses these questions by constructing a novel wine rating system based on scores assigned by a panel of wine experts to a...

We show how tax kinks can be used to estimate the marginal propensity to consume (MPC). Tax kinks create discrete changes in the relationship between taxable income and disposable income, which – under a set of testable assumptions – enables causal identification of the spending response to...

Rank-rank regression is commonly employed in economic research as a way of capturing the relationship between two economic variables. It frequently features in studies of intergenerational mobility as the resulting coefficient, capturing the rank correlation between the variables, is easy to...

Spatial unit roots can lead to spurious regression results. We present a brief overview of the methods developed in Müller and Watson (2024) to test for and correct for spatial unit roots. We also introduce a suite of Stata commands (-spur-) implementing these techniques. Our commands exactly...