Time poverty is a key yet conceptually contested dimension of household living standards. Both univariate and bivariate measures remain debated because there is no clear consensus on how to define and quantify socially necessary unpaid work, the time that money cannot substitute for, across...

In this paper, we present the empirical methodology used to estimate the Levy Institute Measure of Time and Income Poverty (LIMTIP) for the United States over the period 2007-2022. We provide a step-by-step account of the statistical matching procedure employed to construct a synthetic dataset...

While research has highlighted the benefits of variability in leader behavior to help deal with different demands, erratic variability in behavior might be problematic. Preliminary research suggests that when leader behavior seems to vary unpredictably, followers can perceive it as inconsistent,...

Understanding poverty and well-being requires moving beyond income-based measures to account for how work and time are organized within households. While income and unpaid work sustain household living standards, in combination with leisure they determine how these standards are produced and...

The private sector offers reliable labor market data that policymakers, investors, and the public can use to guide their decisions. Revelio Labs provides monthly labor stats from billions of work records, tracking employment, openings, turnover, and pay. Alternative data is created beyond the...

Improper quality adjustment has long been identified as a source of potential measurement bias in consumer price indices (CPIs). However, as no benchmark for quality adjustment exists, it has always been difficult to estimate a potential bias. For this paper, we develop a corridor in which...

This paper examines the evolution of the biological standard of living using anthropometric data from approximately 22,000 Swiss mercenaries born between c. 1725 and c. 1865. Analyzing mercenary data presents two key challenges: left-truncation due to height requirements and potential selection...

Der Bundeshaushalt muss Zukunftsinvestitionen stärker priorisieren. Darüber besteht in der Theorie ein weit reichender Konsens. In der haushaltspolitischen Praxis ist es hingegen schwierig, dieses Ziel durchzusetzen. Ausgaben mit einem unmittelbaren Gegenwartsnutzen erfahren regelmäßig hohen...

In German surveys, educational attainment is typically assessed through two questionnaire items: the highest general school-leaving qualification and the highest vocational qualification or higher education degree. These items are often combined into one variable for analysis, but there is no...

This paper validates a new set of behavioral measures for socioemotional skills across three Sub-Saharan African countries-Côte d'Ivoire, Nigeria, and Tanzania-and compares them to widely used self-reported measures. The behavioral measures demonstrate strong psychometric properties and are...

There is a growing need to provide AI risk management models that can assess whether AI applications are safe and trustworthy, to make them responsible. To date, there are a few research papers on this topic. To fill the gap, in this paper we extend the recently proposed SAFE framework, a...

Central bank surveys frequently elicit households’ probabilistic beliefs about future inflation by employing response scales centered around zero inflation. Analyzing data from the high-inflation period of 2022/2023, we demonstrate how this practice leads to distortions in households'...

Using household survey data on expenditures and incomes, we construct an objective measure of corruption in the public sector for a broad spectrum of countries. Specifically, we focus on the consumption-income gap for public sector workers relative to private sector workers to gauge the extent...

This paper introduces a novel TV news index specifically designed to track coverage of rising inflation across major US TV channels: ABC, CBS, CNN, and Fox News. The index is generated daily and aggregated into a monthly measure. Using this index, we analyze the impact of TV news on inflation...

For income distributions divided into middle, lower, and higher regions based on scalar median cut-offs, this paper establishes the asymptotic distribution properties-including explicit empirically applicable variance formulas and hence standard errors-of sample estimates of the proportion of...

The inclusion of domestic (intra-national) trade when estimating structural gravity models is an important topic and has been shown to solve empirical puzzles such as the missing globalization puzzle (Yotov, 2022). Despite efforts to construct intra-national trade data, its measurement still...

Obtaining comparable poverty estimates over time is critical for monitoring poverty trends and informing effective poverty reduction policies. Yet hardly any developing countries could construct consistent poverty trends over extended time periods due to changes to the consumption survey...

Innovations in big data and algorithms are enabling new approaches to target interventions at scale. We compare the accuracy of three different systems for identifying the poor to receive benefit transfers - proxy means-testing, nominations from community members, and an algorithmic approach...

This study firstly develops a novel Blue-ESG framework to evaluate marine sustainability across 80 countries over the period 2000-2023. The findings reveal that global Blue-ESG scores follow a "slow rise-fluctuant decline" trend, with a marked decline after 2017, primarily attributable to...