In this study, I investigate the necessary condition for the consistency of the maximum likelihood estimator (MLE) of spatial models with a spatial moving average process in the disturbance term. I show that the MLE of spatial autoregressive and spatial moving average parameters is generally inconsistent when heteroskedasticity is not considered in the estimation. I also show that the MLE of pa...

We propose semiparametric methods to estimate the center and shape of a symmetric population when a representative sample of the population is unavailable due to selection bias. We allow an arbitrary sample selection mechanism determined by the data collection procedure, and we do not impose any parametric form on the population distribution. Under this general framework, we construct a family ...

This paper presents some two-step estimators for a wide range of parametric panel data models with censored endogenous variables and sample selection bias. Our approach is to derive estimates of the unobserved heterogeneity responsible for the endogeneity/selection bias to include as additional explanatory variables in the primary equation. These are obtained through a decomposition of the redu...

This note deals with a class of variables that, if conditioned on, tends to amplify confounding bias in the analysis of causal effects. This class, independently discovered by Bhattacharya and Vogt (2007) and Wooldridge (2009), includes instrumental variables and variables that have greater influence on treatment selection than on the outcome. We offer a simple derivation and an intuitive expla...

This paper examines the impact of strategic behaviour of referees on the quality and efficiency of peer review. We modelled peer review as a process based on knowledge asymmetry and subject to evaluation bias. We built two simulation scenarios to investigate largescale implications of referee behaviour and judgment bias. The first one was inspired by “the luck of the reviewer draw” idea. In thi...

In the newsvendor game, the expected-profit-maximizing order quantity is higher in the demand interval when the per-unit profit margin is high, and lower in the demand interval when the per-unit profit margin is low. However, laboratory experiments show a “pull-tocenter” effect: average order quantities are too low when they should be high and vice versa (Schweitzer and Cachon, 2000). We replic...

We use the revealed preference method to derive a model of individual decision making when one’s endowment provides a reference point that may influence her choices. This model generalizes the classical rational choice model. While the latter views choice as a consequence of “utility maximization,” the model proposed here views choice as arising from “mentally constrained utility maximization,”...

In this paper, I measure the impact of manufacturing extension on productivity and sales growth at manufacturing plants. To do this, I match manufacturing extension client data to the Census Bureau’s Longitudinal Research Database (LRD). The LRD contains data for all manufacturing establishments in the U.S. and provides a number of measures of plant performance and characteristics that are meas...