Many controversies that beset the digital economy turn on the role of advertising and its use of personal data. We examine the trade-off between privacy and ad targeting accuracy from the advertisers' perspective. By exploiting Apple's gradual restriction, and ultimately the abolition of ad...

This paper provides the first causal evidence that hostile activities online lead to physical violence. Given the recently documented relationship between pollution and social media, I exploit exogenous variation in local air quality as the first step to instrument for online aggression. In an...

We introduce the package ddml for Double/Debiased Machine Learning (DDML) in Stata. Estimators of causal parameters for five different econometric models are supported, allowing for flexible estimation of causal effects of endogenous variables in settings with unknown functional forms and/or...

Montero (2022) explores a discontinuity in a land reform in El Salvador and reports two main findings. First, relative to outside-owned haciendas operated by contract workers, the productivity of worker-owned cooperatives is higher for staple crops and lower for cash-crop. Second, cooperative...

This study estimates the establishment-level employment effects of investment grants in Germany. In addition to the average treatment effect on the treated, we analyse the influence of establishment’s characteristics and economic environment on the magnitude of the effect. We apply a...

Whether trade can achieve societal change is a contested topic and difficult to investigate. This round-up aims at summarizing recent empirical research on this topic while focusing on democracy and democratization as an important part of societal change. No robust results for change arising...

This paper proposes a time-weighted difference-in-differences (TWDID) estimation approach that is robust against interactive fixed effects in short T panels. Time weighting substantially reduces both bias and variance compared to conventional DID estimation through balancing the pre-treatment...

The Credibility Revolution advances quantitative research designs intended to identify causal effects from observed data. The ensuing emphasis on internal validity however has enabled the neglect of construct and external validity. This article develops a framework we call causal specification....

This paper studies if workers infer from correlation about causal effects in the context of the part-time wage penalty. Differences in hourly pay between full-time and part-time workers are strongly driven by worker selection and systematic sorting. Ignoring these selection effects can lead to...

Armstrong et al. (2022) review the empirical methods used in the accounting literature to draw causal inferences. They document a growing number of studies using quasi-experimental methods and provide a critical perspective on this trend as well as the use of these methods in the accounting...

This paper studies if workers infer from correlation about causal effects in the context of the part-time wage penalty. Differences in hourly pay between full-time and part-time workers are strongly driven by worker selection and systematic sorting. Ignoring these selection effects can lead to...

Many interesting and important economic questions relate to the e§ects of binary treatments such as starting a college degree or participating in a job training program. The causal e§ects of these treatments are likely to be heterogeneous and recent research has emphasized the estimation of...

A partir de las crisis financieras de los últimos años y el creciente desarrollo del sistema financiero, ha surgido la necesidad de entender la relación entre el sector financiero y el sector real de la economía desde una visión integral. Muchos autores han abordado esta relación desde el...

Parental job loss is a large, negative shock to the household that can affect children in both the short- and long-run. Little is known, however, about how the long-run impacts of job loss on children vary with the child's age at the time of displacement. This paper provides the first empirical...

This paper proposes strategies to detect time reversibility in stationary stochastic processes by using the properties of mixed causal and noncausal models. It shows that they can also be used for non-stationary processes when the trend component is computed with the Hodrick-Prescott filter...

We propose a new specification test for assessing the validity of fuzzy regression discontinuity designs (FRD‐validity). We derive a new set of testable implications, characterized by a set of inequality restrictions on the joint distribution of observed outcomes and treatment status at the...

The current health crisis has particularly affected the elderly population. Nursing homes have unfortunately experienced a relatively large number of deaths. On the basis of this observation and working with European data (from SHARE), we want to check whether nursing homes were lending...

Existing research on the static effects of the manipulation of welfare program benefit parameters on labor supply has allowed only restrictive forms of heterogeneity in preferences. Yet preference heterogeneity implies that the marginal effects on labor supply of welfare expansions and...

This study aims to test the causal relationship between Saudi stock market index (TASI) and sectoral indices throughout the period from 2016-2020. The study data were extracted through the main index of the Saudi market and the indices of the available data of 19 sectors out of 21 sectors. The...

Many interesting and important economic questions relate to the e§ects of binary treatments such as starting a college degree or participating in a job training program. The causal e§ects of these treatments are likely to be heterogeneous and recent research has emphasized the estimation of...

We employed linear and nonlinear error correction models (ECMs) to predict the log returns of Bitcoin (BTC). The linear ECM is the best model for predicting BTC compared to the neural network and autoregressive models in terms of RMSE, MAE, and MAPE. Using a linear ECM, we are able to understand...

This paper uses Qualitative Comparative Analysis (QCA) to validate the theory of change developed for an evaluation of renewable energy strategies, identifying pathways for scaling up RE in a variety of different contexts. QCA was used to translate qualitative judgements into quantitative...

This paper proposes a causal decomposition framework for settings in which an initial regime randomization influences the timing of a treatment duration. The initial randomization and treatment affect in turn a duration outcome of interest. Our empirical application considers the survival of...

We develop a framework for difference-in-differences designs with staggered treatment adoption and heterogeneous causal effects. We show that conventional regression-based estimators fail to provide unbiased estimates of relevant estimands absent strong restrictions on treatment-effect...