Theses and Dissertations from UMD

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New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a give thesis/dissertation in DRUM

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Now showing 1 - 10 of 55
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    Dynamic competition with customer recognition and switching costs: theory and application
    (2010) Grozeva, Vesela Dimitrova; Vincent, Daniel R; Economics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    This dissertation aims to contribute to our understanding of dynamic interaction in duopoly markets. Chapter 1 motivates the study and offers a brief overview of the results. In Chapter 2 I study the dynamic equilibrium of a market characterized by repeat purchases. Such markets exhibit two common features: customer recognition, which allows firms to price discriminate on the basis of purchase history, and consumer switching costs. Both features have implications for the competitiveness of the market and consumer welfare but are rarely studied together. I employ a dynamic framework to model a market with customer recognition and switching costs. In contrast to earlier studies of dynamic competition with switching costs, these costs are explicitly incorporated in the demand functions. Two sets of market equilibria are characterized depending on the size of the switching cost. For all values of the switching cost, customer recognition gives rise to a bargain-then-ripoff pattern in prices and switching costs amplify the loyalty price premium. When switching costs are low, there is incomplete customer lock-in in steady state, firm profits increase in the magnitude of the switching cost and introductory offers do not fall below cost. When switching costs are high, there is complete customer lock-in in steady state, firm profits are independent of switching costs and introductory prices may fall below cost. Under incomplete lock-in and bilateral poaching, switching costs do not affect the speed of convergence to steady state; under complete customer lock-in and no poaching from either firm, convergence to steady state occurs in just one period. The model also suggests that imperfect customer recognition leads to lower profits relative to both uniform pricing and perfect customer recognition. In Chapter 3 I use the market framework developed in Chapter 2 to examine the perception that imperfect competition hinders information sharing among rivals in games of random matching. In contrast to previous studies of information sharing, I propose a new channel through which competition may deter information sharing. This approach reveals a key role for firm liquidity by showing that information sharing among rivals is more likely to arise in markets populated by more liquid firms. Employing a dynamic duopoly framework, in which competition intensity varies with the degree of product differentiation, consumer switching costs and consumer patience, I show that more intense market competition can weaken the disincentives associated with disclosing information to a rival. I test the model's predictions using firm-level data on the information-sharing practices of agricultural traders in Madagascar. As predicted by the model, traders operating in liquid markets are shown to be more likely to share information about delinquent customers. This result is robust to the use of two alternative measures of liquidity, of which one is credibly exogenous, and two alternative ways of defining market liquidity. Furthermore, traders who report more intense competition in their market are found to be significantly more likely to share information.
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    Design of Discrete Auction
    (2010) Sujarittanonta, Pacharasut; Cramton, Peter; Economics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Chapter 1: Efficient Design of an Auction with Discrete Bid Levels This paper studies one of auction design issues: the choice of bid levels. Full efficiency is generally unachievable with a discrete auction. Since there may be more than one bidder who submits the same bid, the auction cannot completely sort bidders by valuation. In effort to maximize efficiency, the social planner tries to choose the partition rule-a rule dictating how type space is partitioned to group bidders who submit the same bid together-to maximize efficiency. With the efficient partition rule, we implement bid levels with sealed-bid and clock auctions. We find that the efficient bid levels in the sealed-bid second-price auction may be non-unique and efficient bid increments in a clock auction with highest-rejected bid may be decreasing. We also show that revealing demand is efficiency-enhancing even in the independent private valuation setting where price discovery is not important. Chapter 2: Pricing Rule in a Clock Auction We analyze a discrete clock auction with lowest-accepted bid (LAB) pricing and provisional winners, as adopted by India for its 3G spectrum auction. In a perfect Bayesian equilibrium, the provisional winner shades her bid while provisional losers do not. Such differential shading leads to inefficiency. An auction with highest-rejected bid (HRB) pricing and exit bids is strategically simple, has no bid shading, and is fully efficient. In addition, it has higher revenues than the LAB auction, assuming profit maximizing bidders. The bid shading in the LAB auction exposes a bidder to the possibility of losing the auction at a price below the bidder's value. Thus, a fear of losing at profitable prices may cause bidders in the LAB auction to bid more aggressively than predicted assuming profit-maximizing bidders. We extend the model by adding an anticipated loser's regret to the payoff function. Revenue from the LAB auction yields higher expected revenue than the HRB auction when bidders' fear of losing at profitable prices is sufficiently strong. This would provide one explanation why India, with an expressed objective of revenue maximization, adopted the LAB auction for its upcoming 3G spectrum auction, rather than the seemingly superior HRB auction. Chapter 3: Discrete Clock Auctions: An Experimental Study We analyze the implications of different pricing rules in discrete clock auctions. The two most common pricing rules are highest-rejected bid (HRB) and lowest-accepted bid (LAB). Under HRB, the winners pay the lowest price that clears the market; under LAB, the winners pay the highest price that clears the market. Both the HRB and LAB auctions maximize revenues and are fully efficient in our setting. Our experimental results indicate that the LAB auction achieves higher revenues. This also is the case in a version of the clock auction with provisional winners. This revenue result may explain the frequent use of LAB pricing. On the other hand, HRB is successful in eliciting true values of the bidders both theoretically and experimentally.
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    Essays on Optimal Aid and Fiscal Policy in Developing Economies
    (2010) Banerjee, Ryan Niladri; Mendoza, Enrique G; Economics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Essay I: Which countries receive aid as insurance and why? A theory of optimal aid policy Empirical evidence shows that developing countries with opaque institutions receive procyclical Official Development Aid (ODA) while developing countries with transparent institutions receive acyclical or countercyclical ODA. This paper provides a dynamic equilibrium model of optimal aid policy that quantitatively accounts for this fact. In the model, the donor wants to (a) encourage actions by the aid receiving government that increase output and (b) smooth out economic fluctuations. The transparency of institutions in the country affects the donor's ability to distinguish downturns caused by exogenous shocks, from those caused by government actions. The solution to the donor's mechanism design problem is dependent on the transparency of government actions. If the donor has good information about government actions, aid policy is countercyclical and aid acts as insurance. However, if the donor is unable to infer perfectly the cause of the downturn, aid policy is procyclical to encourage unobservable good actions. The model predicts a similar pattern for ODA commitments for the following year which is supported by the data. For countries with opaque institutions procyclical aid is the result of optimal policies given the information constraints of donors. Essay II: New Evidence on the Relationship Between Aid Cyclicality and Institutions This paper documents a new fact: the correlation between official development assistance (ODA) and GDP is negatively related to the quality of institutions in the receipient country. Differences in institutional indicators that measure corruption, rule of law, government effectiveness and government transparency are particularly important. The results are robust to several modifications. The results hold for both pooled and within regressions specifications and for different sources of institutional quality measures. This fact also reconciles conflicting empirical results about the correlation between ODA and GDP in the literature. For instance, Pallage and Robe (2001) find a positive correlation in two thirds of African economies and half of non-African developing economies, but Rand and Tarp (2002) find no correlation in a different set of developing countries. First, once institutions are accounted for, African economies are not treated differently by donors. Second, the sample in Rand and Tarp (2002) comprises developing economies which have relatively good institutions, therefore, those countries receive acyclical or countercyclical aid. \\ Essay II: Optimal Procyclical Fiscal Policy Without Procyclical Government Spending Procyclical fiscal policy can be caused by either procyclical government expenditure, countercyclical taxes or both. The majority of models which try to explain procyclical fiscal policy as the result of optimal policy have procyclical government expenditures. This paper develops a model which optimally generates procyclical fiscal policy while keeping government expenditures acyclical. Instead, taxes are optimally countercyclical. The model uses endogenous sovereign default to generate an environment where interest rates are lower in booms than in recessions. If household's have insufficient access to financial instruments it is optimal for the government to lower taxes and borrow during booms. This enables impatient households to benefit from the lower interest rates in booms by helping the consumer bring consumption forward.
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    Two Essays in Macroeconomics
    (2010) Wu, Dong; Shea, John; Economics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Castro and Coen-Pirani (2008) document that aggregate skilled hours and employment both became more volatile after the mid-1980s, in contrast to the simultaneous volatility decline of most aggregates, including overall hours and employment and unskilled hours and employment. In chapter 1, I propose that rising efficiency in matching skilled workers to vacancies accounts for this change. The rise of general-purpose information technology made the skills of well-educated workers more transferable across firms and industries, and this increased the suitability of unemployed skilled workers for a broader range of job vacancies. In turn this implies a larger increase in the flow of skilled labor into employment during economic booms. This causes skilled aggregates to be more volatile. I embed a simple search and matching mechanism in a typical dynamic general equilibrium model to demonstrate this idea. The purpose of chapter 2 is to explore the contribution of capital-skill complementarity to short-run employment fluctuations. Given that such complementarity is a leading explanation for long-run changes in the skill premium, it is interesting to check its short-run implications for employment volatility. The numerical results show that complementarity can make skilled employment more volatile than the unskilled, but it can not improve standard DSGE models' implications for overall labor market' volatility.
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    Stable Firms and Unstable Wages
    (2010) Abras, Ana Luisa; Haltiwanger, John C; Economics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    In this work I study recent developments in …rm employment and earnings instability in the US economy over the last 30 years. Despite the decline in aggregate and …rm level volatility, earnings instability has increased steadily for job stayers since the late seventies. I measure and model these phenomena as a result of a decline in labor market institutions that compress wage volatility, and an increase in the incidence of compensation schemes that attach wages to worker performance.
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    ESSAYS ON MACROECONOMIC VOLATILITY AND MONETARY ECONOMICS
    (2010) Menkulasi, Jeta; Aruoba, Boragan; Haltiwanger, John; Economics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    My dissertation consists of two independent essays on macroeconomic volatility and monetary economics respectively. The first essay explores the implications of imperfect information on macroeconomic volatility. It offers a micro-founded theory of time variation in the volatility of aggregate economic activity based on rational inattention. I consider a dynamic general equilibrium model in which firms are limited in their ability to process information and allocate their limited attention across aggregate and idiosyncratic states. According to the model, a decrease in the volatility of aggregate shocks causes the firms optimally to allocate less attention to the aggregate environment. As a result, the firms' responses, and therefore the aggregate response, becomes less sensitive to aggregate shocks, amplifying the effect of the initial change in aggregate shock volatility. As an application, I use the model to explain the Great Moderation, the well-documented significant decline in aggregate volatility in the U.S. between 1984 and 2006. The exercise is disciplined by measurements of the changes in aggregate and idiosyncratic volatilities. The model can account for 90% of the observed decline in aggregate output volatility. 67% of the decline is due to the direct effect of the drop in the volatility of aggregate technology shocks and the other 23% captures the volatility amplification effect due to the optimal attention reallocation from aggregate to idiosyncratic shocks. A version of the model without rational inattention can capture the former effect but not the latter. The second essay examines the redistributive effects of monetary policy using a dynamic general equilibrium model with heterogenous agents. I study the long-run effects of inflation on output, consumption and welfare, as well as the distribution of wealth in the economy. Unlike in representative agent models, heterogeneity can potentially allow for beneficial effects of inflation. Increases in the growth rate of money supply can reduce wealth dispersion, increasing output and welfare.
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    The Macroeconomics of Rare Events
    (2010) Olaberria, Eduardo Augusto; Vegh, Carlos; Economics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    People in developing countries are more often affected by rare events, such as natural disasters and epidemics, than people in developed nations. Furthermore, the intensity of these events is usually higher in poor countries. Among policymakers, these rare events and other external shocks, such as terms-of-trade fluctuations and changes in international conditions, are often explicitly or implicitly blamed for the bad performance of growth. Do these rare events affect economic growth? Are the frequency and intensity of these rare events helpful in explaining the gap in income between rich and poor countries? The answer to this question is important not only for evaluating policies aimed at preventing these events and mitigating its consequences, but also for understanding the reasons why some countries are rich and some poor. Although there has been a steady increase in the number of researchers tackling these questions, the effects of rare events on economic development and long-run growth remains unclear. There are some studies reporting negative, and others indicating no, or even positive effects. The purpose of this dissertation is to show that these seemingly contradictory findings can be reconciled by exploring the effects of disasters on growth separately by type of disaster. This study examines the long- term economic impact of natural disasters and epidemics and shows that these rare events (natural disasters and epidemics) appear to be associated with different patterns of economic vulnerability and so entail different options for reducing risk. A few main conclusions emerge. Rare events significantly affect economic development but not always negatively, and differently across disasters and economic sectors. Hence, in order to understand and assess the economic consequences of natural disasters and epidemics and the implications for policy, it is necessary to consider the pathways through which different types of events affect economic development, the different risks posed, and the ways in which economies can respond to these threats.
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    Institutional Structure in Corporate Agriculture
    (2010) Bhutani, Niti; Chambers, Robert G; Agricultural and Resource Economics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    In this dissertation, a state-contingent, principal-agent model is developed to examine the institution of input provision by a corporate firm that contracts with agents for the production of a given commodity. "Input provision" entails not only the provision and delivery of key inputs by the principal but also their purchases (or in-house production), as well as contract design to ensure their optimal use. The provision of key inputs is modeled in the context of production contracts for poultry and pork, such as those offered by Perdue Farms, Smithfield Foods, and Tyson Foods in the United States. The decision in question is the levels of inputs (e.g. feed, medication) that the contracting company provides to the farmer. This decision is endogenous to the model, and facilitates comparison of production contracts (input provision) with marketing contracts (no input provision, with all inputs purchased and/or provided by the farmer himself). The theoretical model formalizes Coase's idea that an institutional arrangement emerges if the benefits associated with it exceed the costs. In particular, I characterize the case of no input provision as a corner solution for the optimal choice of inputs provided. The extent of input provision, in turn, reflects "limits to firm size". I also examine conditions under which incentives relating to one of two output dimensions (produced by the agent) tend to zero, when both dimensions are observable and verifiable. The state-contingent approach is used as it allows for a general production technology, and the inclusion of transaction costs in a general theoretical model. The possibility of reservation utility being endogenous in dyadic relationships is also examined. This is explored formally by incorporating pre-contract interactions in a contractual framework with the principal and the agent competing as independent producers prior to contracting. Investment decisions of the principal in this framework favorably impact his variable costs both as an independent producer and as the principal party to a contract. I show that the higher these benefits, the stronger is the incentive for the principal to decide in favor of higher initial investment levels and realize a more competitive position vis-à-vis the smaller producer.
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    Essays in Behavioral Economics: Applying Prospect theory to Auctions
    (2010) Ratan, Anmol; Lange, Andreas; Agricultural and Resource Economics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    I explore the implications of reference-dependent preferences in sealed-bid auctions. In the first part, I develop a Prospect theory based model to explain bidding in first-price auctions. I show that bidding in induced-value first-price sealed-bid auctions can be rationalized as a combination of reactions to underlying ambiguity and anticipated loss aversion. Using data from experimental auctions, I provide evidence that in induced-value auctions with human bidders, this approach works well. In auctions with prior experience and /or against risk-neutral Nash rivals where ambiguity effects could be altogether irrelevant, anticipated loss aversion by itself can explain aggressive bidding. This is a novel result in the literature. Using data from experiments, I find that ambiguity effects become negligible in auctions with experienced human bidders against (i) experienced human rivals and (ii) Nash computer rivals, when loss aversion is taken in consideration. The estimates for loss aversion are similar in auctions with human bidders (with or without experience). Next, I extend my approach of anticipated loss aversion to address bidding outcomes in first- and second-price sealed-bid auctions. As shown in first part, the model predicts overbidding in first-price induced-value auctions consistent with evidence from most laboratory experiments. However, substantially different bidding behavior could result in commodity auctions where money and auction item are consumed along different dimensions of the consumption space. Differences also result in second-price auctions. The study thereby indicates that transferring qualitative behavioral findings from induced-value laboratory experiments to the field may be problematic if subjects are loss averse and anticipate such losses at the time of bidding. Finally, I explore the effect of resale or procurement opportunities, to which bidders have heterogeneous market access, on bidding in first- price sealed-bid auctions. My models suggest that in auctions with resale, loss aversion causes underbidding with respect to the risk-neutral-Nash prediction. Bidders with greatest level of market access are least affected by loss aversion and therefore bid closer to the risk-neutral-Nash than bidders with smaller market access. In auctions with procurement, the effect of loss aversion is such that it causes overbidding (underbidding) for bidders with respect to the risk-neutral-Nash. Bidders with greatest level of market access are again least affected by loss aversion and therefore bid much conservatively and closer to the risk-neutral-Nash than bidders with very low market access. If market access is interpreted as a proxy for experience, the predictions of my model are qualitatively similar to the findings in List (2003, 2004). Since these indirect effects are obtained without altering reference-dependent preferences, it raises the possibility that the effects obtained in List (2003, 2004) in field settings may not arise entirely due to the direct effect of experience on reference-dependent preferences. This calls for a more careful reexamination of the underlying issues.
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    Sequential Search With Ordinal Ranks and Cardinal Values: An Infinite Discounted Secretary Problem
    (2009) Palley, Asa Benjamin; Cramton, Peter; Applied Mathematics and Scientific Computation; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    We consider an extension of the classical secretary problem where a decision maker observes only the relative ranks of a sequence of up to N applicants, whose true values are i.i.d. U[0,1] random variables. Applicants arrive according to a homogeneous Poisson Process, and the decision maker seeks to maximize the expected time-discounted value of the applicant who she ultimately selects. This provides a straightforward and natural objective while retaining the structure of limited information based on relative ranks. We derive the optimal policy in the sequential search, and show that the solution converges as N goes to infinity. We compare these results with a closely related full information problem in order to quantify these informational limitations.