The primary objective of this paper is to propose two nonlinear extensions for macroeconomic forecasting using large datasets. First, we propose an alternative technique for factor estimation, i.e., kernel principal component analysis, which allows the factors to have a nonlinear relationship to...

Uncovering the heterogeneous effects of particular policies or "treatments” is a key concern for researchers and policymakers. A common approach is to report average treatment effects in different subgroups based on observable covariates. However, there is likely to be considerable uncertainty...

In this paper we examine whether the Solow growth model is consistent with across-countries variations in standard of living once investments in education and health are explicitly and simultaneously taken into account. Using a sample of low- and middle-income economies, we provide evidence that...

In this article we present a new methodology to support fiscal monitoring by the Italian Revenue Agency (IRA) with the aim of improving current taxpayers fiscal compliance and fighting tax evasion within small and medium enterprises. In fact, given the methodology behind the Sector Studies...

This article illustrates a straightforward and useful method for incorporating exogenous inefficiency effects in the estimation of semiparametric stochastic frontier models. An iterative estimation algorithm based on two-step nonlinear least squares is developed allowing for any flexible and...

We derive bounds for the average of math and language scores of elementary school students in Italy correcting for pervasive score manipulation. Information on the fraction of manipulated data is retrieved from a natural experiment that randomly assigns external monitors to schools. We show how...

We consider a general sample selection model where unit and item nonresponse simultaneously affect a regression relationship of interest, and both types of nonresponse are potentially correlated. We estimate both parametric and semiparametric specifications of the model. The parametric...

We investigate the relationship between money and happiness across the waves of the British Household Panel Study by using a latent class approach which accounts for slope heterogeneity, omitted variable bias and departures from normality assumptions. Our findings reveal the presence of a vast...

Height data offer insights into the well-being of populations and historical periods for which other indicators are lacking. Researchers modeling historical heights have typically relied on the restrictive assumption of a normal (Gaussian) distribution, only the mean of which is affected by age,...

The paper deals with the construction of a synthetic indicator of economic growth, obtained by projecting a quarterly measure of aggregate economic activity, namely gross domestic product (GDP), into the space spanned by a finite number of smooth principal components, representative of the...