Production capital and technology, fundamental to understanding output and productivity growth, are unobserved except at disaggregated levels and must be estimated prior to being used in empirical analysis. We develop and apply a new estimation method, based on advances in economics, statistics,...

This study investigates the impact of firm-specific discount factors on merger formation and market performance. We estimate firm-specific discount factors for 228 publicly traded and privately held firms operating in the semiconductor market and apply a heterogeneous treatment effects model...

This paper studies how foreign acquisitions affect firms' internal labor organization, particularly occupational switching. This focus is inspired by new stylized facts we document using linked employer-employee data from Denmark: while the total number of occupations and hierarchical layers in...

We conduct an empirical investigation into the effects of foreign ownership on worker skills using firm-level data from Spain. To control for endogeneity bias due to selection into foreign ownership, we combine a difference-in-differences approach with a propensity score weighting estimator. Our...

We conduct an empirical investigation into the effects of foreign ownership on worker skills using firm-level data from Spain. To control for endogeneity bias due to selection into foreign ownership, we combine a difference-in-differences approach with a propensity score weighting estimator. Our...

This paper exploits a large dataset of replications of the Holt and Laury (2002) risk elicitation task to study a possible outcome reporting bias using gender differences in risk attitudes. There is a strong consensus view in the experimental literature according to which women are more prudent...

We identify a natural counterpart of the standard GARP for demand data in which goods are all indivisible. We show that the new axiom (DARP, for "discrete axiom of revealed preference") is necessary and sufficient for the rationalization of the data by a well-behaved utility function. Our...

We introduce DOSE⸻Dynamically Optimized Sequential Experimentation⸻to elicit preference parameters. DOSE starts with a model of preferences and a prior over the parameters of that model, then dynamically chooses a customized question sequence for each participant according to an...

This paper leverages generative AI to build a network structure over 5,000 product nodes, where directed edges represent input-output relationships in production. We layout a two-step 'build-prune' approach using an ensemble of prompt-tuned generative AI classifications. The 'build' step...

This paper explores the evolution of non-working time in Spain over recent years by analysing the results of two surveys conducted by the National Statistics Institute: the Quarterly Survey on Labor Costs and the Labor Force Survey. Using time series models and intervention analysis, potential...