Income is an important correlate for numerous phenomena in the social sciences. But manysurveys collect data with just a single question covering all forms of income. This raisesissues of quality, and these are heightened when individuals are asked about the householdtotal rather than own income...

The March Current Population Survey (CPS) is the primary data source for estimation oflevels and trends in labor earnings and income inequality in the USA. Time-inconsistencyproblems related to top coding in theses data have led many researchers to use the ratio ofthe 90th and 10th percentiles...

Recent theories of economic growth have stressed the role of externalities in generating growth. Using data from the Census Bureau that tracks all employers in the whole U.S. private sector economy, we examine the impact of these externalities, as measured by entrepreneurial activity, on...

We elicit the intertemporal Marginal Propensity to Consume (iMPC) based on hypothetical different size lottery winnings through questions in the 2023-24 Italian Survey of Consumer Expectations (ISCE). Survey respondents were asked to allocate three hypothetical lottery winning amounts (€1,000,...

Contemporary decision support systems are increasingly relying on artificial intelligence technology such as machine learning algorithms to form intelligent systems. These systems have human-like decision capacity for selected applications based on a decision rationale which cannot be looked-up...

Due to computational advances in the past decades, so-called intelligent systems can learn from increasingly complex data, analyze situations, and support users in their decision-making to address them. However, in practice, the complexity of these intelligent systems renders the user hardly...

The increasing governmental interest in fostering the Artificial Intelligence sector in Britain has rapidly increased; the United Kingdom has recognised AI’s significance and incorporated it into its policy frameworks. The UK’s Industrial Strategy framework of 2017 emphasises the need for...

This may be considered a formative and inspiring study on data analysis in data science research that delves into the conceptual aspects of epistemological theories and the role of expert analysts in analysing data, whether large or small. We discuss the tools and techniques generally used to...

We consider the randomness of values and volumes of market deals as a major factor that describes lower bounds of uncertainty and upper limits on the accuracy of the forecasts of macroeconomic variables, prices, and returns. We introduce random macroeconomic variables, whose average values...

Decarbonization of the energy system is a major challenge for today’s energy system to combat climate change. This challenge is addressed in the EU through different political strategies and plans such as the European Green Deal, Fit-for-55, and REPowerEU, which set specific emission reduction...