“…This information is useful for constructing a latent variable through a data reduction technique, such as Multiple Correspondence Analysis (MCA) or Principal Components Analysis (PCA). This approach to capturing economic status has been used in development economics in the study of the income distribution (Filmer and Pritchett, 2001;McKenzie, 2005;Filmer and Scott, 2012;Poirier et al, 2020), inequality of opportunity (Wendelspiess-Chávez-Juárez, 2015;Vélez-Grajales et al, 2018;Monroy-Gómez-Franco et al, 2021;Plassot et al, 2022), and intergenerational social mobility (Monroy-Gómez-Franco and Vélez-Grajales, 2021;Campos-Vázquez and Medina-Cortina, 2019;Torche, 2015;Delajara et al, 2022).…”