The prevailing socio-economic disparities within numerous European nations are becoming increasingly pro-nounced. However, our understanding of their social and political implications, particularly with respect to the rise of populism and the sentiment of being 'left behind', remains limited....

Der Beitrag befasst sich mit dem Potenzial, das qualitative Sekundäranalysen für die Arbeitsforschung aufweisen. Während sich die Debatte um diese Thematik bislang vor allem um Fragen der Aufbereitung, Archivierung und Bereitstellung von Datensätzen gedreht hat, richtet sich hier der Blick...

The prevailing socio-economic disparities within numerous European nations are becoming increasingly pro-nounced. However, our understanding of their social and political implications, particularly with respect to the rise of populism and the sentiment of being ‘left behind’, remains...

Der Beitrag befasst sich mit dem Potenzial, das qualitative Sekundäranalysen für die Arbeitsforschung aufweisen. Während sich die Debatte um diese Thematik bislang vor allem um Fragen der Aufbereitung, Archivierung und Bereitstellung von Datensätzen gedreht hat, richtet sich hier der Blick...

In an experiment on the large language model GPT-4o, a supplier always makes a higher profit if it replaces uniform contract terms with a set of terms between which the customer may choose. The extra profit results from price discrimination. There is a first order and a second order effect. The...

We develop a method to identify the individual latent propensity to select into treatment and marginal treatment effects. Identification is achieved with survey data on individuals' subjective expectations of their treatment propensity and of their treatmentcontingent outcomes. We use the method...

In this short paper we review the intellectual history of indirect inference as a methodology in its progress from an informal method for evaluating early models of representative agents to formally testing DSGE models of the economy; and we have considered the issues that can arise in carrying...

Good data on the size and composition of the independent contractor workforce are elusive, with household survey and administrative tax data often disagreeing on levels and trends. We carried out a series of focus groups to learn how self-employed independent contractors speak about their work....

Ausgehend von den Krisen unserer Zeit und dem normativen Bekenntnis zu einer transformativen Ökonomik erläutert das Diskussionspapier die These: "Gestaltung braucht Kreativität". Die gegenwärtige dominante Praxis der Volkswirtschaftslehre wird dahingehend kritisiert, dass sie...

The primary motivation behind quantitative modeling in international trade and many other fields is to shed light on the economic consequences of policy changes. To help assess and potentially strengthen the credibility of such quantitative predictions we introduce an IV-based goodness-of-fit...

This paper uses machine learning (ML) to estimate hedonic price indices at scale from item-level transaction and product characteristics. The procedure uses state-of-the-art approaches from hedonic econometrics and implements them with a neural network ML approach. Applying the methodology to...

The standard measure of core or underlying inflation is the inflation rate excluding food and energy prices. This paper constructs an alternative measure, the weighted median inflation rate, for 38 advanced and emerging economies using subclass level disaggretion of the CPI over 1990-2021, and...

While hypothesis testing is a highly formalized activity, hypothesis generation remains largely informal. We propose a procedure that uses machine learning algorithms—and their capacity to notice patterns people might not—to generate novel hypotheses about human behavior. We illustrate the...

Good data on the size and composition of the independent contractor workforce are elusive, with household survey and administrative tax data often disagreeing on levels and trends. We carried out a series of focus groups to learn how self-employed independent contractors speak about their work....

The authors explore unique complete-count data from the 1930 Census in which a respondent's race was assigned by enumerators and "Mexican" was one of the possible responses. Census enumerators frequently and selectively assigned a non-Mexican race - predominantly "white" - to U.S.-born...

The primary motivation behind quantitative modeling in international trade and many other fields is to shed light on the economic consequences of policy changes. To help assess and potentially strengthen the credibility of such quantitative predictions we introduce an IV-based goodness-of-fit...

The standard measure of core or underlying inflation is the inflation rate excluding food and energy prices. This paper constructs an alternative measure, the weighted median inflation rate, for 38 advanced and emerging economies using subclass level disaggretion of the CPI over 1990-2021, and...

Good data on the size and composition of the independent contractor workforce are elusive, with household survey and administrative tax data often disagreeing on levels and trends. We carried out a series of focus groups to learn how self-employed independent contractors speak about their work....

Ausgehend von den Krisen unserer Zeit und dem normativen Bekenntnis zu einer transformativen Ökonomik erläutert das Diskussionspapier die These: "Gestaltung braucht Kreativität". Die gegenwärtige dominante Praxis der Volkswirtschaftslehre wird dahingehend kritisiert, dass sie...

The publication deals with individual census actions that took place in Slovakia in the interwar and post-war period. It analyses and evaluates the preparation, the course and partly evaluates the selected results of the censuses. One of the main objectives of the authors was to evaluate the...

Since the 18th century, policymakers have debated the merits of industrial policy (IP). Yet, economists lack basic facts about its use due to measurement challenges. We propose a new approach to IP measurement based on information contained in policy text. We show how off-the-shelf supervised...

In a fuzzy regression discontinuity (RD) design, the probability of treatment jumps when a running variable (R) passes a threshold (R0). Fuzzy RD estimates are obtained via a procedure analogous to two-stage least squares (2SLS), where an indicator I(R R0) plays the role of the instrument....

1. Supply Chain Risks, Disruptions, and Ripple Effect -- 2. Managing Supply Chain Resilience -- 3. Modeling Supply Chain Resilience -- 4. Measuring Supply Chain Resilience -- 5. Supply Chain Viability.

The traditional approach in experimental economics is to use a between-subject design: the analyst places each unit in treatment or control simultaneously and recovers treatment effects via differencing conditional expectations. Within-subject designs represent a significant departure from this...

We study monotone ecological inference, a partial identification approach to ecological inference. The approach exploits information about one or both of the following conditional associations: (1) outcome differences between groups within the same neighborhood, and (2) outcomes differences...

The objective of this paper is to demystify AI agents - autonomous LLM-based systems that plan, use tools, and execute multi-step research tasks - and to provide hands-on instructions for economists to build their own, even if they do not have programming expertise. As AI has evolved from simple...

We propose a new LLM-based survey framework that enables retrospective coverage, economic reasoning, dynamic effects, and clean identification. We recover human-comparable treatment effects in a multi-wave randomized controlled trial of inflation expectations surveys, at 1/1000 the cost. To...

Multiple lines of research aim to quantify the economic impacts of climate change, including through reduced-form and structural approaches. We show that the effects of climate change on economic activity depend on changes in weather across time and space: changes in contemporary weather have...

In this chapter, we discuss field experiments in surveys that are conducted with the purpose of learning about expectation formation and the link between expectations and behavior. We begin by reviewing the rationale for conducting experiments within surveys, rather than just relying on...

We examine the cross-section of international equity risk premia with machine learning methods. We identify, classify, and calculate 88 market characteristics and use them to forecast country returns with various machine learning techniques. While all algorithms produce substantial economic...

A common problem in historical research involves harmonizing geographic units across time or different levels of aggregation. One approach is to use " crosswalks" that associate factors located within one geographic unit to different " reference" units based on relative areas . We develop an...

Economists have recently begun using independent online surveys to collect national labor market data. Questions remain over the quality of such data. This paper provides an approach to address these concerns. Our case study is the Real-Time Population Survey (RPS), a novel online survey of the...

This chapter will cover recent research in historical economics that uses ethnographic data and data from surveys and lab experiments. The study of historical economics, particularly outside of non-Western countries, has been constrained by availability of historical data. However, recent work...