In this paper, I present a simple characterization of the sample selection bias problem that is also applicable to the … problem of sample selection bias is fit within the conventional specification error framework of Griliches and Theil. A simple … estimator is discussed that enables analysts to utilize ordinary regression methods to estimate models free of selection bias …

immigrant high school dropouts. One data source -- the CPS -- is plagued by non-response and allocation bias from the hot …-deck procedure that biases upward the estimated return to the GED. Correcting for allocation bias and ability bias, there is no …

neural responses to the pertinent prospects when they are not engaged in actual decision making. The ability to make such …

observable exogenous causes. We explore an alternative approach that generates predictions based on relationships across decision … experiment, we find that this method yields accurate estimates of price sensitivities for a collection of products under …

-American children in the 1960s. We discuss the design of the experiment, compromises in and adjustments to the randomization protocol …

experiment, face-to-face communication with a randomly assigned peer significantly improves the quality of private decisions … transmits financial decision-making skills most effectively when peers are equally uninformed, rather than when an informed … decision maker teaches an uninformed peer. Qualitative analysis of subjects' discussions supports this interpretation. The …

versus equal outcomes). In a laboratory experiment, the most common behavioral pattern is for subjects to select the ex ante …