Just as backwards design starts with course learning objectives before planning assessments, content and teaching activities, narrative engagement by design imagines how to build engagement into the foundation of course structure and content, not just into teaching and learning activities. This...

In this article, we examine labour market polarization dynamics in Türkiye. First, we use highly refined microdata to classify tasks - mainly abstract, routine and manual - to conduct analysis at the occupation-task level. Second, we find evidence for polarization driven by technological...

Literature on digital collaboration often focuses on individual aspects, but rarely combines them into a unified, practical and sustainability-friendly management tool. The paper fills this critical gap by presenting a comprehensive framework for enhancing digital collaboration, integrating AI,...

Statistical inference-both estimation and testing-for stochastic volatility (SV) models is known to be challenging and computationally demanding. We propose simple and efficient estimators for SV models with conditionally heavy-tailed error distributions, particularly the Student's t and...

Design-based econometrics, centred on average treatment effects in the potential-outcomes framework, treats causal effects as population-level expectations under hypothetical interventions and thereby offers an expectation-based, mechanism-agnostic conception of causality. This conception is...

Structural estimation in economics often makes use of models formulated in terms of moment conditions. While these moment conditions are generally well-motivated, it is often unknown whether the moment restrictions hold exactly. We consider a framework where researchers model their belief about...

A large literature in economic history uses digitized census data to study individual-level outcomes in history. Although many census records have been digitized manually, the process is extremely labor-intensive, and substantial material remains unprocessed in archives. Recent advances in...

We propose a novel dynamic panel estimator. Different from the commonly used difference and system GMM, our proposed estimator requires only one of the crosssectional dimension (N) or the time dimension (T) to grow large to be asymptotically unbiased. This improves reliability in panels with...

Background: Production systems are complex environments where logistics processes play a crucial role alongside manufacturing. Although the digitalisation of value-creating processes is increasingly important, production-supporting logistics activities are often missing from digital models....