Thesis (J.D.)--University of California. / Type-written ms.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1996. / Includes bibliographical references.

This dissertation contains two essays studying panel data econometric models. First, we consider the problem of estimating a nonparametric panel data models with fixed effects. We propose using the profile least squares method to concentrate out the fixed effects and then estimate the unknown function by the kernel method. We show that our proposed estimator is consistent and has an asymptotically normal distribution. Monte Carlo simulations show that our proposed estimator performs well compared with several existing estimators. Second, we study the effects of Hong Kong’s fixed exchange rate against U.S. dollar using a novel panel data method. After the 1997 Asian Financial Crisis, many of the Asia countries adopted flexible exchange rate policies while Hong Kong still keeps its fixed exchange rate. By comparing Hong Kong versus its major trading partners, we show that if, like other Asian countries, Hong Kong had adopted a float exchange rate policy in October 1998, Hong Kong’s (counterfactual) total value of exports would increase by 14.65 %. Similarly, Hong Kong’s total value of imports would increase about 31%. We conclude that Hong Kong dollar is overvalued by 9.34% due to its fixed exchange rate policy.

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In this thesis, we study three revenue management problems where we propose simple algorithms with provable guarantees. While online marketplaces provide retailers with tremendous flexibility, they are often large, noisy, have multiple stakeholders, and could be more challenging to characterize. These complexities give rise to a preference for simple, interpretable policies. Further, traditional marketplaces such as brick-and-mortar stores cannot always leverage tools designed for online environments due to physical constraints, higher latency, etc. With these motivations in mind, we develop algorithms for assortment optimization and pricing that are easy to implement in practice and have theoretical justifications for their performance. In Chapter 1, we consider a dynamic assortment optimization problem where the seller has a fixed inventory of multiple substitutable products to sell over a fixed time horizon. We consider two modifications to the traditional problem. First, we simplify the assortment planning by restricting assortment changes to "product retirements". When a product is retired, it becomes unavailable to all future customers. Second, we assume the seller has flexibility regarding which customers to approach. In each period, the seller chooses which subset of products to retire and selects a customer to visit. The selected customer then receives an option to purchase one of the available products, i.e., non-retired products with positive remaining inventory. We provide two policies for this problem. Our first policy guarantees a constant fraction of the best possible revenue. Our second policy is near-optimal but requires the problem to have a specific structure. In Chapter 2, we study the fundamental joint pricing and inventory management problem. The optimal policy for the model we consider is known to be an (s, S, p) policy: when the inventory level drops to s units, the seller immediately places an order to replenish the inventory to S units. Specifically, the optimal pricing policy p has a different price for every inventory state. We proposed simple policies requiring no more than three prices and prove that these policies are near-optimal compared to optimal policies which require more prices and are less robust. In particular, when orders cannot be backlogged, we show that a single price is sufficient for good performance. In Chapter 3, we analyze assortment optimization and pricing with opaque products. An opaque product is one for which only partial information is available to the buyer at the time of purchase. When a customer selects the opaque product, the seller can fulfill the purchase using any of the offered products. Opaque products can help sellers boost total sales. We propose simple policies for assortment optimization with provable constant factor guarantees, which are near-optimal in numerical experiments. We also provide upper bounds for the advantage of selling opaque products.

Da oltre vent’anni l’Unione Europea (UE) è protagonista di un acceso dibattito circa l’orami vasta adozione di OGM in agricoltura. Laddove la maggior parte dei paesi Nord e Sud americani ha già largamente introdotto tali colture, l’UE è invece in forte ritardo, complice una legislazione basata sul Principio di Precauzione. Queste discrepanze nei i processi legislativi hanno portato a galla alcune problematiche di carattere commerciale: primo, la riduzione delle disponibilità di materia prima non-OGM costituisce un problema per la stabilità delle filiere ad essa dedicate; secondo, il commercio di prodotti convenzionali è compromesso dalla possibilità di riscontrare varietà OGM non approvate in UE all’interno delle partite provenienti da paesi terzi. In ultimo, data l’ampia diffusione di OGM nelle Americhe, è lecito porsi il quesito di come tale tendenza abbia influito sui prezzi delle materie prime agricole. In questa tesi si cercherà di analizzare queste tematiche. Per prima cosa, ci occupiamo di capire come la filiera della soia non-OGM italiana sia organizzata e gestita in modo da minimizzare i rischi di presenza avventizia. La conclusione è che le forme di governance ibride garantiscono la migliore forma di gestione. Successivamente ci domandiamo se le diversità legislative in materia di OGM abbiamo un impatto sull’import Europeo di mais e soia. Utilizzando l’analisi della domanda, riscontriamo che i paesi esportatori competono o sul prezzo o in base alla disponibilità stagionale di prodotto. In ultimo, utilizzando serie storiche, analizziamo il ruolo del tasso di adozione di soia OGM sui prezzi reali; ciò che osserviamo indica che questo ha un effetto deflattivo di breve periodo, ma di scarso peso. / The debate on the increasing adoption of GMOs in agriculture has been in vogue for the last twenty years. Whereas most North and South American countries have largely adopted GMOs, the European Union (EU) has not. Since the EU legislation is based on the Precautionary Principle, the introduction of new GM varieties has been slow. These discrepancies put forward some fundamental issues: first, the decreasing availability of non-GM raw materials poses the sustainability of these supply chains at risk; second, the trade of conventional products is undermined by the possible occurrence of unauthorized GMOs in overseas. Last, the wide adoption of GM crops in North and Latin America poses the question of what effect the spreading of biotechnology in agriculture has exerted on market prices. In this thesis, we try to answer these three research questions. First of all, we investigate how the Italian supply chain for non-GM soybean meal is framed and managed in order to reduce the risk of adventitious presence. We find that hybrid organizations represent the best governance form. Next, we assess the role of legislative diversities (regarding GMOs) on EU import decisions through import demand analysis. We conclude that competition among exporters is solely based on price and seasonality. Last, we disentangle the role of GMOs adoption on the variability of US soybean prices. Results indicate that a higher rate of adoption reduces real soybean market prices, yet the effect is short lived and not much relevant.