The econometrics literature proposed several new causal machine learning methods (CML) in the past few years. These methods harness the strength of machine learning methods to flexibly model the relationship between the treatment, outcome and confounders, while providing valid inferential...

This paper studies semiparametric versions of the classical sample selection model (Heckman (1976, 1979)) without exclusion restrictions. We extend the analysis in Honor'e and Hu (2020) by allowing for parameter heterogeneity and derive implications of this model. We also consider models that...

This paper examines the effect of measurement error in the dependent variable on quantile regression, because unlike OLS regression, even classical measurement error can generate bias. I examine the pattern and size of the bias using both simulation and an empirical example. The simulations...

The rapid economic growth experienced within the past two decades in China highly correlates with childhood overweightness. The epidemic has become an issue of grave concern. A principal factor considered to be responsible for the epidemic in the literature is unhealthy food intake, such as...

This volume was prepared by Julian Dieler while he was working with the Center for Energy, Climate and exhaustible Resources at the Ifo Institute for Economic Research. At the latest since the adoption of the Kyoto Protocol in 1997 climate policies are permanently on the international policy...

This paper considers a class of GMM estimators for general dynamic panel models, allowing for cross sectional dependence due to spatial lags and due to unspecified common shocks. We significantly expand the scope of the existing literature by allowing for endogenous spatial weight matrices,...

There is a large theoretical literature on methods for estimating causal effects under unconfoundedness, exogeneity, or selection-on-observables type assumptions using matching or propensity score methods. Much of this literature is highly technical and has not made inroads into empirical...

The rapid economic growth experienced within the past two decades in China highly correlates with childhood overweightness. The epidemic has become an issue of grave concern. A principal factor considered to be responsible for the epidemic in the literature is unhealthy food intake, such as...

A wide literature uses date of birth as an instrument to study the causal effects of educational attainment. This paper shows how parents delaying their children's initial enrollment in kindergarten, a practice known as redshirting, can make estimates obtained through this identification...

This paper focuses on a recent merger in Greek diary sector and empirically investigates the delineation of the market of production and distribution of white milk in Greece, the role of product asymmetries in market delineation along with evidences of unilateral effects of the merger and the...