Foundational to the discipline of management is the idea that organizational decisions are a function of expected outcomes; hence, the customary empirical approach to employ multivariate techniques that regress performance outcome variables on discrete measures of organizational choices (e.g.,...

This paper studies nonparametric series estimation and inference for the effect of a single variable of interest x on an outcome y in the presence of potentially high-dimensional conditioning variables z. The context is an additively separable model E[y|x, z] = g0(x) + h0(z). The model is...

A simple graphical approach to presenting results from nonlinear regression models is described. In the face of multiple covariates, 'partial mean' plots may be unattractive. The approach here is portable to a variety of settings and can be tailored to the specific application at hand. A simple...

Earlier literature has investigated the drop in household consumption upon retirement of the head of the household, the so-called "retirement consumption puzzle". Here, we expand on these studies by considering also retirement of the wife, thus distinguishing households in which the wife is a...

The many facets of retirement have been studied widely by economists. However, the effect of retirement on marriage stability has been ignored in the literature. Retirement represents a dramatic change in individual time allocation that may affect marriage stability. In particular, individuals...

In regression discontinuity designs with multiple running variables (MRD), units are assigned different treatments based on whether their values on several observed running variables exceed known thresholds. In such designs, applied work commonly analyzes each running variable separately,...

Investors sometimes have strong convictions that a distinctive economic regime will prevail in the period ahead and therefore would like to form a portfolio that reflects the expected returns, standard deviations, and correlations of assets during such a regime. To do so, they typically isolate...

This paper proposes a simple generalization of the classical measurement error model, introducing new measurement errors that subtract signal from the true variable of interest, in addition to the usual classical measurement errors (CME) that add noise. The effect on OLS regression of these lack...

This paper studies a class of exponential family models whose canonical parameters are specified as linear functionals of an unknown infinite-dimensional slope function. The optimal minimax rates of convergence for slope function estimation are established. The estimators that achieve the...

In this paper, Gini Regression Analysis (Olkin and Yitzhaki 1992) is applied to check the robustness of the positive correlation of the number of billionaires, billionaires' wealth, and the GDP per-capita, as reported in Prinz (2016). Although Gini Regression Analysis (GRA) as a method exists...