Understanding factors affecting the direction of innovation is a central aim of research in the economics of innovation. Progress on this topic has been inhibited by difficulties in measuring distance and movement in knowledge space. We describe a methodology that infers the mapping of the...

In this paper, I examine the relationship between gender and performance in high school Public Forum, a 2 on 2 style of debate where judges subjectively decide the winner, for 3 seasons from 2019 to 2022. I use a variety of metrics to gauge success, including a composite score, speaker points,...

Understanding behavioral aspects of collective decision-making is an important challenge for eco-nomics, and narratives are a crucial group-based mechanism that influences human decision-making. This paper introduces the Character-Role Narrative Framework as a tool to systematically analyze...

We investigate the potential for Large Language Models (LLMs) to enhance scientific practice within experimentation by identifying key areas, directions, and implications. First, we discuss how these models can improve experimental design, including improving the elicitation wording, coding...

Medieval and Early-Modern business correspondence between European companies constitutes a rich source of economic, business, and trade information in that the writing of letters was the very instrument through which merchants ordered and organized the shipments of goods, and performed financial...

The development of emerging technologies, including artificial intelligence, has a significant effect on the automation of business processes related to the automotive industry, directly impacting employees skills and work tasks. The objectives of the study are: to identify the state of current...

Most modernization or development theories that incorporate law emphasize a growth in the scope of individual choice as law becomes impartial, relevant to all. An early expression of this conceptualization was Henry Maine's (1822-1888) celebrated dictum that progressive societies move from...

This research introduces an innovative GDP nowcasting strategy tailored for developing countries, specifically addressing challenges related to limited data timeliness. The study centers on Bolivia, where the official monthly indicator of economic growth is released with a substantial delay of...

This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...