We introduce a new jackknife variance estimator for panel-data regressions. Our variance estimator can be motivated as the conventional leave-one-out jackknife variance estimator on a transformed space of the regressors and residuals using orthonormal trigonometric basis functions. We prove the...

The persuasion rate is a key parameter for measuring the causal effect of a directional message on influencing the recipient's behavior. Its identification has relied on exogenous treatment or the availability of credible instruments, but the requirements are not always satisfied in...

To which extent do equity and housing hedge against inflation? Despite the extensive literature, there is only little consensus. This paper presents evidence on this question from the Jordà–Schularick–Taylor Macrohistory Database covering 16 countries from 1870 to 2020. The results depend...

The paper analyzes the impact of physicians' altruism and motivation on the outcomes of pay-for-performance schemes in healthcare, where a fixed price contract on quantity is supplemented with a relative performance contract on quality. Our theoretical model forecasts crowding out of most...

Do technological improvements mitigate the potential damages from extreme weather events? We address this question using oil production and hurricane data from the Gulf of Mexico. We show that hurricane activity lowers well production and that stronger storms have larger impacts that persist for...

This paper analyzes whether housing-related macroprudential policy has heterogeneous effects on house price growth in local housing markets. More specifically, we employ an extensive dataset of Belgian municipalities containing a multitude of drivers of local house price dynamics and examine the...

This paper considers a first-order autoregressive panel data model with individual-specific effects and a heterogeneous autoregressive coefficient. It proposes estimators for the moments of the cross-sectional distribution of the autoregressive coefficients, with a focus on the first two...

This paper develops a simple approach to overcome the shortcomings of using a standard, single treatment-effect event study to assess the ability of an empirical model to measure heterogeneous treatment effects. Equally as important, we discuss how the standard errors reported in a typical...

In this paper, we introduce the concept of fractional integration for spatial autoregressive models. We show that the range of the dependence can be spatially extended or diminished by introducing a further fractional integration parameter to spatial autoregressive moving average models (SARMA)....