We study the impact on tax compliance of a letter sent by the Italian Revenue Agency in 2009 to taxpayers suspected to have overreported some costs in order to decrease their taxable income without increasing the probability to be audited. We find strong and robust evidence that the letter did...

Tax audits are the main tool adopted by tax administrations to collect taxes. Their optimal number depends on two parameters, i.e. the enforcement elasticity of tax revenue with respect to the audit effort and the sum of private compliance costs and public administrative costs entailed by...

The expenditure method of Pissarides and Weber (1989) [Journal of Public Economics, 39 (1), 17- 32) shows how one backs out measure of income underreporting by the self-employed by using food consumption as trace of true income. In this paper we make a case for using panel data and fixed effects...

Interactive fixed effects are a popular means to model unobserved heterogeneity in panel data. Models with interactive fixed effects are well studied in the low-dimen\-sional case where the number of parameters to be estimated is small. However, they are largely unexplored in the...

This paper studies uniform inference in a linear panel data model when the slope coefficients may exhibit heterogeneity over both the individual and time dimensions and they can be correlated with the regressors. We propose a generalized two-way fixed effects (GTWFE) estimation procedure to...

In a recent paper Juodis and Reese (2022) (JR) show that the application of the CD test proposed by Pesaran (2004) to residuals from panels with latent factors results in over-rejection. They propose a randomized test statistic to correct for over-rejection, and add a screening component to...

This paper introduces an application of R programming language for geostatistical data processing with a case study of the Mariana Trench, Pacific Ocean. The formation of the Mariana Trench, the deepest among all hadal oceanic depth trenches, is caused by complex and diverse geomorphic factors...

This paper introduces a new procedure for clustering a large number of financial time series based on high-dimensional panel data with grouped factor structures. The proposed method attempts to capture the level of similarity of each of the time series based on sensitivity to observable risk...

We propose a simple procedure based on an existing “debiased” l_{1}-regularized method for inference of the average partial effects (APEs) in approximately sparse probit and fractional probit models with panel data, where the number of time periods is fixed and small relative to the number...

This paper exploits the variation in the timing of electoral law enforcement across nine Latin American countries to consistently examine the contribution of de jure and de facto political institutions to long-run development. The set of novel measures of electoral law enforcement is constructed...