Matching Items (13)
Description
Schennach (2007) has shown that the Empirical Likelihood (EL) estimator may not be asymptotically normal when a misspecified model is estimated. This problem occurs because the empirical probabilities of individual observations are restricted to be positive. I find that even the EL estimator computed without the restriction can fail to be asymptotically normal for misspecified models if the sample moments weighted by unrestricted empirical probabilities do not have finite population moments. As a remedy for this problem, I propose a group of alternative estimators which I refer to as modified EL (MEL) estimators. For correctly specified models, these estimators have the same higher order asymptotic properties as the EL estimator. The MEL estimators are obtained by the Generalized Method of Moments (GMM) applied to an exactly identified model. The simulation results provide promising evidence for these estimators. In the second chapter, I introduce an alternative group of estimators to the Generalized Empirical Likelihood (GEL) family. The new group is constructed by employing demeaned moment functions in the objective function while using the original moment functions in the constraints. This designation modifies the higher-order properties of estimators. I refer to these new estimators as Demeaned Generalized Empirical Likelihood (DGEL) estimators. Although Newey and Smith (2004) show that the EL estimator in the GEL family has fewer sources of bias and is higher-order efficient after bias-correction, the demeaned exponential tilting (DET) estimator in the DGEL group has those superior properties. In addition, if data are symmetrically distributed, every estimator in the DGEL family shares the same higher-order properties as the best member.
ContributorsXiang, Jin (Author) / Ahn, Seung (Thesis advisor) / Wahal, Sunil (Thesis advisor) / Bharath, Sreedhar (Committee member) / Mehra, Rajnish (Committee member) / Tserlukevich, Yuri (Committee member) / Arizona State University (Publisher)
Created2013
Description
This dissertation applies the Bayesian approach as a method to improve the estimation efficiency of existing econometric tools. The first chapter suggests the Continuous Choice Bayesian (CCB) estimator which combines the Bayesian approach with the Continuous Choice (CC) estimator suggested by Imai and Keane (2004). Using simulation study, I provide two important findings. First, the CC estimator clearly has better finite sample properties compared to a frequently used Discrete Choice (DC) estimator. Second, the CCB estimator has better estimation efficiency when data size is relatively small and it still retains the advantage of the CC estimator over the DC estimator. The second chapter estimates baseball's managerial efficiency using a stochastic frontier function with the Bayesian approach. When I apply a stochastic frontier model to baseball panel data, the difficult part is that dataset often has a small number of periods, which result in large estimation variance. To overcome this problem, I apply the Bayesian approach to a stochastic frontier analysis. I compare the confidence interval of efficiencies from the Bayesian estimator with the classical frequentist confidence interval. Simulation results show that when I use the Bayesian approach, I achieve smaller estimation variance while I do not lose any reliability in a point estimation. Then, I apply the Bayesian stochastic frontier analysis to answer some interesting questions in baseball.
ContributorsChoi, Kwang-shin (Author) / Ahn, Seung (Thesis advisor) / Mehra, Rajnish (Committee member) / Park, Sungho (Committee member) / Arizona State University (Publisher)
Created2014
Description
This paper examines dealers' inventory holding periods and the associated price markups on corporate bonds from 2003 to 2010. Changes in these measures explain a large part of the time series variation in aggregate corporate bond prices. In the cross-section, holding periods and markups overshadow extant liquidity measures and have significant explanatory power for individual bond prices. Both measures shed light on the credit spread puzzle: changes in credit spread are positively correlated with changes in holding periods and markups, and a large portion of credit spread changes is explained by them. The economic effects of holding periods and markups are particularly sharp during crisis periods.
ContributorsQian, Zhiyi (Author) / Wahal, Sunil (Thesis advisor) / Bharath, Sreedhar (Committee member) / Coles, Jeffrey (Committee member) / Mehra, Rajnish (Committee member) / Arizona State University (Publisher)
Created2012
Description
Mutual monitoring in a well-structured authority system can mitigate the agency problem. I empirically examine whether the number 2 executive in a firm, if given authority, incentive, and channels for communication and influence, is able to monitor and constrain the potentially self-interested CEO. I find strong evidence that: (1) measures of the presence and extent of mutual monitoring from the No. 2 executive are positively related to future firm value (Tobin's Q); (2) the beneficial effect is more pronounced for firms with weaker corporate governance or CEO incentive alignment, with stronger incentives for the No. 2 executives to monitor, and with higher information asymmetry between the boards and the CEOs; (3) such mutual monitoring reduces the CEO's ability to pursue the "quiet life" but has no effect on "empire building;" and (4) mutual monitoring is a substitute for other governance mechanisms. The results suggest that mutual monitoring by a No. 2 executive provides checks and balances on CEO power.
ContributorsLi, Zhichuan (Author) / Coles, Jeffrey (Thesis advisor) / Hertzel, Michael (Committee member) / Bharath, Sreedhar (Committee member) / Babenko, Ilona (Committee member) / Arizona State University (Publisher)
Created2012
Description
This paper examines how equity analysts' roles as information intermediaries and monitors affect corporate liquidity policy and its associated value of cash, providing new evidence that analysts have a direct impact on corporate liquidity policy. Greater analyst coverage (1) reduces information asymmetry between a firm and outside shareholders and (2) enhances the monitoring process. Consistent with these arguments, analyst coverage increases the value of cash, thereby allowing firms to hold more cash. The cash-to-assets ratio increases by 5.2 percentage points when moving from the bottom analyst-coverage decile to the top decile. The marginal value of $1 of corporate cash holdings is $0.93 for the bottom analyst-coverage decile and $1.83 for the top decile. The positive effects remain robust after a battery of endogeneity checks. I also perform tests employing a unique dataset that consists of public and private firms, as well as a dataset that consists of public firms that have gone private. A public firm with analyst coverage can hold approximately 8% more cash than its private counterpart. These findings constitute new evidence on the real effect of analyst coverage.
ContributorsChang, Ching-Hung (Author) / Bates, Thomas (Thesis advisor) / Bharath, Sreedhar (Committee member) / Lindsey, Laura (Committee member) / Arizona State University (Publisher)
Created2012
Description
This thesis studies the technological change in the US commercial banking market and its influence on banks' lending practices. The second chapter provides some empirical facts.
The third chapter studies the welfare consequences of the destructive creation (bank
branches replaced by internet banking) of the US commercial banking
market following the Great Recession of 2009. Using a structural model,
we find that the cleansing effect (closure of unproductive bank branches)
of the recession increases the units of internet banking by about 56\% in 2016, compared to the case where the cleansing effect is absent. The share of internet banking in the retail service market is increased from 48\% to 60\% and the price of internet banking service is decreased by a factor of 16 by the cleansing effect of the Great Recession.
The two changes lowers the price of retail banking services in 2016 by 37\%: 53\% of the price reduction is attributable
to the replacement
of branches by internet banking and 47\% is attributable to the reduction of the price of internet banking. However, this cleansing effect also
results in a 2.5\% decrease in small business services in small cities.
These findings suggest that the cleansing effect of the recession benefits
retail consumers. However, small business lending may suffer.
The fourth chapter evaluates how information technology (IT) improvements contribute to the decline of small business lending in the US commercial banking market from 2002 to 2017. This paper estimates a general equilibrium dynamic model with banks that differ in size and choose the level of the transaction (hard information intensive) and relationship (soft information intensive) lending. The model shows that banks’ costs of evaluating borrowers’ hard information declined over this period by 46\%, and small business loans fell by 7\% (12\% in the data). This paper finds that banks’ higher reliance on IT to issue transaction loans is responsible for 37\% of the decline in the data, and the consolidation caused by IT improvements caused 22\% of the decline. Contrary to previous findings, this paper finds that when general equilibrium is considered, policy protecting small banks cannot increase small business lending.
The third chapter studies the welfare consequences of the destructive creation (bank
branches replaced by internet banking) of the US commercial banking
market following the Great Recession of 2009. Using a structural model,
we find that the cleansing effect (closure of unproductive bank branches)
of the recession increases the units of internet banking by about 56\% in 2016, compared to the case where the cleansing effect is absent. The share of internet banking in the retail service market is increased from 48\% to 60\% and the price of internet banking service is decreased by a factor of 16 by the cleansing effect of the Great Recession.
The two changes lowers the price of retail banking services in 2016 by 37\%: 53\% of the price reduction is attributable
to the replacement
of branches by internet banking and 47\% is attributable to the reduction of the price of internet banking. However, this cleansing effect also
results in a 2.5\% decrease in small business services in small cities.
These findings suggest that the cleansing effect of the recession benefits
retail consumers. However, small business lending may suffer.
The fourth chapter evaluates how information technology (IT) improvements contribute to the decline of small business lending in the US commercial banking market from 2002 to 2017. This paper estimates a general equilibrium dynamic model with banks that differ in size and choose the level of the transaction (hard information intensive) and relationship (soft information intensive) lending. The model shows that banks’ costs of evaluating borrowers’ hard information declined over this period by 46\%, and small business loans fell by 7\% (12\% in the data). This paper finds that banks’ higher reliance on IT to issue transaction loans is responsible for 37\% of the decline in the data, and the consolidation caused by IT improvements caused 22\% of the decline. Contrary to previous findings, this paper finds that when general equilibrium is considered, policy protecting small banks cannot increase small business lending.
ContributorsPang, Haiyan (Author) / Silverman, Dan (Thesis advisor) / Bharath, Sreedhar (Committee member) / Aragon, Georges (Committee member) / Arizona State University (Publisher)
Created2019
Description
This paper comes from a consulting project that the consulting firm, New Venture Group (NVG), did for a hospital in the southwest United States. The name of the hospital as well as the names of the hospitalists and units for the hospital will be withheld for confidentiality reasons. The hospital will be referred to as the ‘client’ throughout this paper. New Venture Group is a management consulting firm associated with Arizona State University (ASU), W.P. Carey School of Business and The Barrett Honors College. NVG recruits their consultants directly from the upper-class student body. NVG takes on projects from a wide variety of clients to provide real-world solutions comparable to that of other management consulting firms in the industry.
The client wanted to look into ways to improve patient satisfaction. To improve patient satisfaction the consulting team performed research and held a data collection. The team researched literature for possible improvements in technology, management procedures, and hospital operations protocols. The team then provided the findings and possible implementations to the client. Another item the team looked into was communication between night shift hospitalists and nurses, and possible ways to improve their communication. In the winter of 2010 a data collection was held at the client hospital that measured several different metrics of hospitalist
urse communication. In early 2011 a NVG team provided a descriptive statistics analysis of the results to the client. After the team’s first presentation I joined NVG and the team with this client. The client wanted to dig deeper into the data to find any patterns that were inherent in the data that were not immediately obvious from descriptive statistics. To do this I built over a 150 different regressions to dig from the data as many different patterns that could be found. Most of these regressions found many non-interesting results and a few did find significant interesting results. A report was sent to the client with all the results found. This paper is structured differently than the one delivered to the client in that only the significant interesting results are included and terminology will used for an audience who is familiar with statistics and mathematics. The work in this paper is the combined result of the whole team. My most specific input in this project is the quantitative analysis section. The other parts of this paper are also included so that the reader can see the full results of this consulting project.
The client wanted to look into ways to improve patient satisfaction. To improve patient satisfaction the consulting team performed research and held a data collection. The team researched literature for possible improvements in technology, management procedures, and hospital operations protocols. The team then provided the findings and possible implementations to the client. Another item the team looked into was communication between night shift hospitalists and nurses, and possible ways to improve their communication. In the winter of 2010 a data collection was held at the client hospital that measured several different metrics of hospitalist
urse communication. In early 2011 a NVG team provided a descriptive statistics analysis of the results to the client. After the team’s first presentation I joined NVG and the team with this client. The client wanted to dig deeper into the data to find any patterns that were inherent in the data that were not immediately obvious from descriptive statistics. To do this I built over a 150 different regressions to dig from the data as many different patterns that could be found. Most of these regressions found many non-interesting results and a few did find significant interesting results. A report was sent to the client with all the results found. This paper is structured differently than the one delivered to the client in that only the significant interesting results are included and terminology will used for an audience who is familiar with statistics and mathematics. The work in this paper is the combined result of the whole team. My most specific input in this project is the quantitative analysis section. The other parts of this paper are also included so that the reader can see the full results of this consulting project.
ContributorsGuggisberg, Michael (Author) / Ahn, Seung (Thesis director) / Brooks, Daniel (Committee member) / Werner, Kathleen (Contributor) / Barrett, The Honors College (Contributor)
Created2012-05
Description
This paper looks at defined contribution 401(k) plans in the United States to analyze whether or not participants have plans with better plan characteristics defined in this study by paying more for administration services, advisory services, and investments. By collecting and analyzing Form 5500 and audit data, I find that there is no relation between how much a plan and its participants are paying for recordkeeping, advisory, and investment fees and the analyzed characteristics of the plan that they receive in regards to active/passive allocation, revenue share, and the performance of the funds.
ContributorsAziz, Julian (Author) / Wahal, Sunil (Thesis director) / Bharath, Sreedhar (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor)
Created2015-05
Description
Firms reduce investment when facing downward wage rigidity (DWR), the inability or unwillingness to adjust wages downward. I construct DWR measures and exploit staggered state-level changes in minimum wage laws as an exogenous variation in DWR to document this fact. Following a minimum wage increase, firms reduce their investment rate by 1.17 percentage points. Surprisingly, this labor market friction enhances firm value and production efficiency when firms are subject to other frictions causing overinvestment, consistent with the theory of second best. Finally, I identify increased operating leverage and aggravation of debt overhang as mechanisms by which DWR impedes investment.
ContributorsCho, DuckKi (Author) / Bharath, Sreedhar (Thesis advisor) / Hertzel, Michael (Thesis advisor) / Bessembinder, Hendrik (Committee member) / Wang, Jiaxu (Committee member) / Arizona State University (Publisher)
Created2017
Description
I study the importance of financial factors and real exchange rate shocks in explaining business cycle fluctuations, which have been considered important in the literature as non-technological factors in explaining business cycle fluctuations. In the first chapter, I study the implications of fluctuations in corporate credit spreads for business cycle fluctuations. Motivated by the fact that corporate credit spreads are countercyclical, I build a simple model in which difference in default probabilities on corporate debts leads to the spread in interest rates paid by firms. In the model, firms differ in the variance of the firm-level productivity, which is in turn linked to the difference in the default probability. The key mechanism is that an increase in the variance of productivity for risky firms relative to safe firms leads to reallocation of capital away from risky firms toward safe firms and decrease in aggregate output and productivity. I embed the above mechanism into an otherwise standard growth model, calibrate it and numerically solve for the equilibrium. In my benchmark case, I find that shocks to variance of productivity for risky and safe firms account for about 66% of fluctuations in output and TFP in the U.S. economy. In the second chapter, I study the importance of shocks to the price of imports relative to the price of final goods, led by the real exchange rate shocks, in accounting for fluctuations in output and TFP in the Korean economy during the Asian crisis of 1997-98. Using the Korean data, I calibrate a standard small open economy model with taxes and tariffs on imported goods, and simulate it. I find that shocks to the price of imports are an important source of fluctuations in Korea's output and TFP in the Korean crisis episode. In particular, in my benchmark case, shocks to the price of imports account for about 55% of the output deviation (from trend), one third of the TFP deviation and three quarters of the labor deviation in 1998.
ContributorsKim, Seon Tae (Author) / Prescott, Edward C. (Thesis advisor) / Rogerson, Richard (Committee member) / Ahn, Seung (Committee member) / Low, Stuart (Committee member) / Arizona State University (Publisher)
Created2011