Search

This chapter reports the effects of the Chilean Criminal Procedure Reform on trust in the police. It reports the changes in public attitudes towards the police using a pseudo-panel model constructed with the data of the Chilean Crime Survey. The results show an increase in public trust towards police forces (Carabineros and Policia de Investigaciones). It shows a differential increase in support, being it higher for Policia de Investigaciones. Finally, over the analysed period, there is a trend towards a higher support for police forces, being the time in the Criminal Procedure Reform one of the main predictors.

In this study, we investigate the labour income risk across industries in Thailand using the Labour Force Survey (LFS) data over 2008–2017 consisting of more than a million individuals. Two types of income risk are considered in this study: permanent and transitory. In order to estimate the risk, the LFS data is transformed into the pseudo-panel framework based on multiple labour characteristics. The results suggest that the transitory income risk is nearly twice as large as the permanent. In addition, we found that the top five industries facing strong income risks are transportation, agriculture, professional activities, manufacturing and financial and insurance activities.

We discuss the possibility of constructing pseudo panel data from cross-sectional data, sampled at different points in time, by aligning individuals sharing some common characteristics into groups called “cohorts”. Based on a real-life example on income distribution in the USA, we construct and validate a pseudo panel data and compare this with real panel data. The agreement is encouraging.