Business Commons^™

New Geographies Of Electronic Commerce: An Appraisal Of Omni-Channel Strategies In The United States Grocery Industry, Connor Reed

Doctoral Dissertations

This body of doctoral research investigates the unique geography of e-commerce [electronic commerce] offerings among major grocery chains in the contiguous United States. Prior research has made efforts to understand the demographic and spatial dynamics that may influence consumers’ decision to shop online or in-store. Far less emphasis, however, has been placed on how firms have made key strategic decisions across space regarding e-commerce. This work leverages spatial econometric modeling and machine learning to understand how the characteristics of trade areas inform grocery chains’ decisions about whether to offer pickup, delivery, both, or no offering at a given store location. …

The Effect Of Inputs On Poultry Production Output, Ty M. Wolaver

Masters Theses

To combat poverty and malnutrition, Feed the Future Tworore Inkoko, Twunguke (TI) has set out to teach Rwandan farmers how to grow broilers as additional income for the farmers and an additional protein source within the community to combat malnutrition. Throughout this program, the inputs and outputs of the farmers were recorded, and the goal is to determine an efficiency score for each flock raised and use that information to determine what factors contributed to a higher flock efficiency. A data envelopment analysis (DEA) is used to determine the efficiency score of each flock. Using these efficiency scores, a regression …

The Pricing Impact Of Decreasing Competitiveness Of The Health Insurance Market, Lauren N. Patterson

Chancellor’s Honors Program Projects

No abstract provided.

Economic Forecasting With Many Predictors, Fanning Meng

Doctoral Dissertations

The dissertation is focused on the analysis of economic forecasting with a large number of predictors.

The first chapter develops a novel forecasting method that minimizes the effects of weak predictors and estimation errors on the accuracy of equity premium forecasts. The proposed method is based on an averaging scheme applied to quantiles conditional on predictors selected by LASSO. The resulting forecasts outperform the historical average, and other existing models, by statistically and economically meaningful margins.

In the second chapter, we find that incorporating distributional and high-frequency information into a forecasting model can produce substantial accuracy gains. Distributional information is …

State Space Modelling Of Dynamic Choice Behavior With Habit Persistence, Kang Bok Lee

Doctoral Dissertations

In this dissertation, I present a new approach to capturing dependence across time in dynamic choice data. To achieve this, I develop a state space dynamic choice model and a novel algorithm to fit the data. Instead of capturing dependence in outcomes through lagged response variables, referred to as state dependence, I introduce a lagged utility term through the latent state equation. The lagged utility term captures habit persistence, which has not been explored directly in earlier models (Heckman, 1981b). The autoregressive nature of the lagged utility provides a significantly richer summary of prior utility than a lagged outcome variable. …

The Business Of Coupons-Do Coupons Lead To Repeat Purchases?, Margaret Peacher Ross

Chancellor’s Honors Program Projects

No abstract provided.