This study develops cluster robust inference methods for panel quantile regression (QR) models with individual fixed effects, allowing for temporal correlation within each individual. The conventional QR standard errors can seriously underestimate the uncertainty of estimators and, therefore,...

This paper studies estimation and inference for linear quantile regression models with generated regressors. We suggest a practical two-step estimation procedure, where the generated regressors are computed in the first step. The asymptotic properties of the two-step estimator, namely,...

This paper studies a dynamic quantile model for intertemporal decisions under uncertainty, in which the decision maker maximizes the τ-quantile of the stream of future utilities, for τ ∈ (0,1). We present two sets of contributions. First, we generalize existing results in directions that are...

We analyze the properties of the Synthetic Control (SC) and related estimators when the pre‐treatment fit is imperfect. In this framework, we show that these estimators are generally biased if treatment assignment is correlated with unobserved confounders, even when the number of...

The Gini coefficient of labor earnings in Brazil fell by nearly a fifth between 1995 and 2012, from 0.50 to 0.41. The decline in other measures of earnings inequality was even larger, with the 90-10 percentile ratio falling by almost 40 percent. Applying micro-econometric decomposition...

In the last decades, Brazil experienced a historical decline in its wage inequality level, particularly in the first decade of the 21^st century. This paper reviews the literature that attempted to explain the observed pattern. It considers mechanisms related to the supply and demand for labor,...

This paper investigates poverty dynamics in Brazil, as the frequency and pattern of movements into and out of poverty have significant implications for our understanding of stratification and social mobility processes, as well as for the design of public policies. Our analysis uses microdata...

This article provides a comprehensive analysis of labor earnings volatility in Brazil between 2012 and 2023. During this period, Brazil's economy experienced intense economic growth followed by large recessions, allowing us to assess changes in volatility over the business cycle. In addition,...

Given a set of baseline assumptions, a breakdown frontier is the boundary between the set of assumptions which lead to a specific conclusion and those which do not. In a potential outcomes model with a binary treatment, we consider two conclusions: First, that ATE is at least a specific value...

Abstract We extend the inference procedure for the synthetic control method in two ways. First, we propose parametric weights for the p-value that includes the equal weights benchmark of Abadie et al. [ 1 ]. By changing the value of this parameter, we can analyze the sensitivity of the...