Unconditional quantile treatment effects are difficult to estimate in the presence of fixed effects. Panel data are frequently used because fixed effects or differences are necessary to identify the parameters of interest. The inclusion of fixed effects or differencing of data, however,...

This paper employs panel data on 413 German counties and cities from 2004 to 2009 to investigate the supply of new single-family housing in local housing markets. New local housing supply is measured by the annual number of construction permits in relation to the existing single-family housing...

While general equilibrium theories of trade stress the role of third-country effects, little work has been done in the empirical foreign direct investment (FDI) literature to test such spatial linkages. This paper aims to provide further insights into long-run determinants of Spanish FDI by...

Against the backdrop of an ongoing debate in most countries about the geographic (mal-)distribution of physician practices, we develop a theoretical and empirical framework to analyze how physician supply at regional level depends on demographic (population size, age structure, fertility and...

Numerous studies regress log earnings on schooling and report estimated coefficients as Mincer rates of return. A more recent literature uses instrumental variables. This chapter considers the economic interpretation of these analyses and how the availability of repeated cross section and panel...

This paper develops the minimal asymptotic distributions for estimators of panel data models with incidental parameters

This article develops a Bayesian approach for estimating panel quantile regression with binary outcomes in the presence of correlated random effects. We construct a working likelihood using an asymmetric Laplace (AL) error distribution and combine it with suitable prior distributions to obtain...

We develop a new Bayesian estimator that is able to deal with multivariate panel data structure in the presence of spatial correlation. The analysis of panel data introduced here allows us to analyze not only the fixed effect but also the random effect model. This work extends the previous study...

Many empirical studies found wage gaps between formal and informal sector workers even after controlling for a number of individual and firm level characteristics. While there is limited amount of research considering the same question in the Turkish labor market, wage gap between formal and...

We propose a method of retrospective counterfactual imputation in panel data settings with later-treated and always-treated units, but no never-treated units. We use the observed outcomes to impute the counterfactual outcomes of the later-treated using a matrix completion estimator. We propose a...