We introduce a quantile regression approach to panel data models with endogenous variables and individual effects correlated with the independent variables. We find newly developed quantile regression methods can be easily adapted to estimate this class of models efficiently.

In the early 1990's, the Argentine government promoted a framework for productivity-based negotiations between firms and unions at low levels of organization. The policy weakened the industry-wide collective bargaining system, which sets working conditions for all firms in an industry. This...

Policy makers rely on a mix of government spending and tax cuts to address imbalances in the economy during an economic crisis. However, little discussion appears to focus explicitly on the costs of economic crises in terms of human lives, especially the lives of the most vulnerable members of...

Programs that encourage the participation of disadvantaged business enterprises (DBE) as subcontractors have been a part of government procurement auctions for over three decades. In this paper, we examine the impact of a program that requires prime contractors to subcontract out a portion of a...

We examine the impact of the type of past experience for de novo contractors on business duration. Our results show that early involvement as a subcontractor in government procurement projects increases the chance of survival.

This paper proposes new ℓ1-penalized quantile regression estimators for panel data, which explicitly allows for individual heterogeneity associated with covariates. We conduct Monte Carlo simulations to assess the small sample performance of the new estimators and provide comparisons of new...

This article investigates estimation of censored quantile regression (QR) models with fixed effects. Standard available methods are not appropriate for estimation of a censored QR model with a large number of parameters or with covariates correlated with unobserved individual heterogeneity....