The estimation of causal effects is a primary goal of behavioral, social, economic and biomedical sciences. Under the unconfounded treatment assignment condition, adjustment for confounders requires estimating the nuisance functions relating outcome and/or treatment to confounders. The...

The estimation of causal effects is a primary goal of behavioral, social, economic and biomedical sciences. Under the unconfounded treatment assignment condition, adjustment for confounders requires estimating the nuisance functions relating outcome and/or treatment to confounders. The...

The estimation of causal effects is a primary goal of behavioral, social, economic and biomedical sciences. Under the unconfounded treatment assignment condition, adjustment for confounders requires estimating the nuisance functions relating outcome and/or treatment to confounders. The...

We study identification and inference in first-price auctions with risk averse bidders and selective entry, building on a flexible entry and bidding framework we call the Affiliated Signal with Risk Aversion (AS-RA) model. Assuming that the econometrician observes either exogenous variation in...

Many economic panel and dynamic models, such as rational behavior and Euler equations, imply that the parameters of interest are identified by conditional moment restrictions. We introduce a novel inference method without any prior information about which conditioning instruments are weak or...

Graphitic onion-like carbon (GOC) present multi-shelled concentric polyhedral morphology with the particle size of 2.67 µm to 10.10µm. Used as anode material for lithium-ion batteries (LIBs) and potassium-ion batteries (PIBs), the specific concentric structure can effectively avoid interlayer...

Graphitic onion-like carbon (GOC) present multi-shelled concentric polyhedral morphology with the particle size of 2.67 µm to 10.10µm. Used as anode material for lithium-ion batteries (LIBs) and potassium-ion batteries (PIBs), the specific concentric structure can effectively avoid interlayer...

This paper develops a new method informed by data and models to recover information about investor beliefs. Our approach uses information embedded in forward-looking asset prices in conjunction with asset pricing models. We step back from presuming rational expectations and entertain potential...