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Articles 121 - 139 of 139
Full-Text Articles in Econometrics
Dimensional Analysis And Logarithmic Transformations In Applied Econometrics, Deepankar Basu
Dimensional Analysis And Logarithmic Transformations In Applied Econometrics, Deepankar Basu
Economics Department Working Paper Series
In economics, it is common to use dimensioned variables, e.g. earn- ings (measured in dollars per year), as arguments in the logarithmic function. This is conceptually problematic because a logarithmic func- tion can only take dimensionless quantities as its argument. One way to avoid this conceptual error is to rewrite commonly used logarithmic regressions using an arbitrarily chosen reference unit so that ratios of dimensioned quantities are used in logarithmic functions. With the addition of a zero conditional mean assumption about the reference unit to the standard list of assumptions about asymptotic properties of ordinary least squares estimators, such a …
Permutation-Based Tests For Discontinuities In Event Studies, Federico Bugni, Jia Li
Permutation-Based Tests For Discontinuities In Event Studies, Federico Bugni, Jia Li
Research Collection School Of Economics
We propose using a permutation test to detect discontinuities in an underlying economic model at a cutoff point. Relative to the existing literature, we show that this test is well suited for event studies based on time-series data. The test statistic measures the distance between the empirical distribution functions of observed data in two local subsamples on the two sides of the cutoff. Critical values are computed via a standard permutation algorithm. Under a high-level condition that the observed data can be coupled by a collection of conditionally independent variables, we establish the asymptotic validity of the permutation test, allowing …
The Impact Of Covid-19 On Stock Market And Exchange Rate Uncertainty In Pakistan, Ateeb Akhter Shah Syed, Kaneez Fatima, Mannan Zaheer
The Impact Of Covid-19 On Stock Market And Exchange Rate Uncertainty In Pakistan, Ateeb Akhter Shah Syed, Kaneez Fatima, Mannan Zaheer
Business Review
This paper examines the impact of coronavirus (COVID-19) on exchange rate (EXU) and stock market uncertainty (SMU) in Pakistan while controlling for the effects of interest rate and policy interventions by the Government and the Central bank to combat the pandemic. We employ the vector autoregressive (VAR) model over a sample period ranging from February 25, 2020 to May 6, 2021. We find that a shock to total daily coronavirus cases in Pakistan has a positive and significant impact on both the EXU and SMU. However, this impact is short-lived which may be attributed to a timely policy response and …
The Foundations Of Behavioral Finance: A Case Study Of Robinhood Users And The Impact Of Biases In Financial Markets, Robert Michael Arciola
The Foundations Of Behavioral Finance: A Case Study Of Robinhood Users And The Impact Of Biases In Financial Markets, Robert Michael Arciola
Senior Projects Spring 2022
Financial markets play a vital role in economies around the world. They facilitate the interactivity between those who are in need of capital and those with capital to invest. While its own separate entity, the stock market is correlated with the economy in various ways in which one may significantly impact the other on a regular basis. Thus, investors and firms participating in markets have much power in influencing the economy. Human behavior is prone to biases that are not accounted for in standard finance theory but is the subject of behavioral economics by utilizing psychology and sociology to aid …
County Walkability And Small Business Receipts, Talia Perluss
County Walkability And Small Business Receipts, Talia Perluss
Scripps Senior Theses
This thesis explores the correlation between county walkability and small business receipts, as well as other possible demographic variables that could explain the success of small businesses, by using a fixed-effect panel regression model. Using county-level data in the years 2012 and 2017, this paper finds that there is a significant correlation between an increase in walkability and an increase in receipts. When running the fixed-effect regressions, this paper found that there is a moderately high positive correlation between walkability and per capita income, suggesting that the effects of an increase in walkability may also capture the effects of an …
Capital Nationality And Economic Development, Guilherme Klein Martins
Capital Nationality And Economic Development, Guilherme Klein Martins
Economics Department Working Paper Series
This paper reviews different literature strands and performs an empirical test to evaluate how capital ownership, particularly its nationality, might affect long-run economic develop- ment. Our results indicate that low and middle-income countries with larger foreign capital stock in 1980 had lower economic growth over the next 39 years. The estimations also indi- cate that these economies developed a less specialized export basket, which became relatively more concentrated in low-tech goods. The results are inverted to high-income economies, for which the effects are positive on GDP growth and export specialization and complexi- fication. The results are in line with the …
Modeling Post-Crisis Monetary Policy, James Dean
Modeling Post-Crisis Monetary Policy, James Dean
Graduate Theses, Dissertations, and Problem Reports
Chapter 1, co-authored with Scott Schuh, examines whether the Taylor Rule still adequately captures monetary policy despite unconventional monetary policies (UMP) and the policy rate near zero in 2009-2015. We find structural breaks at 2007:Q3 in macro models with a shadow funds rate. Taylor Rule coefficients shift back toward pre-1984 estimates and breaks occurred in non-policy parameters. Results are similar with the effective funds rate, so either breaks are not due to UMP or the shadow rate is an insufficient specification of UMP. Chapter 2 incorporates the term structure and the Fed’s average inflation targeting (AIT) framework into the model …
Reading The Candlesticks: An Ok Estimator For Volatility, Jia Li, Dishen Wang, Qiushi. Zhang
Reading The Candlesticks: An Ok Estimator For Volatility, Jia Li, Dishen Wang, Qiushi. Zhang
Research Collection School Of Economics
Academic research on nonparametric “spot” volatility inference often relies on high-quality transaction data that are not available to an average investor. Most investors, however, have free access to intraday candlestick charts through their online trading applications. Based on such data, we propose an Optimal candlesticK (OK) estimator for the spot volatility at a given time point. Under a standard infill asymptotic setting for Itˆo semimartingale price process, we show that the OK estimator is asymptotically unbiased and has minimal asymptotic variance within a class of linear estimators. In addition, its estimation error can be coupled by a Brownian functional, whose …
Hot Boy Summer? Analyzing Managerial Reactions To Season-Long Fluctuating Player Performance In Major League Baseball, John Rodgers Hood
Hot Boy Summer? Analyzing Managerial Reactions To Season-Long Fluctuating Player Performance In Major League Baseball, John Rodgers Hood
Honors Projects
This paper suggests numerical weights that a Major League Baseball (MLB) manager may use when comparing player performance across multiple past performance periods to predict future performance. By the end of the MLB regular season, current season performance becomes more predictive than prior season performance for pitchers but not hitters. After estimating weights for different past time periods of performance, this paper compares the weights with how managers value performance in high-stakes situations across these same time periods. I find that MLB managers overreact to recent performance by both hitters and pitchers in postseason settings.
Covid-19 School Re-Openings: The Effect On Women’S Labor Force Participation, Isabella Difeo
Covid-19 School Re-Openings: The Effect On Women’S Labor Force Participation, Isabella Difeo
Williams Honors College, Honors Research Projects
As schools and daycares closed in March of 2020, mothers left the labor market in droves, either completely giving up their jobs or significantly cutting back on hours in order to care for children and/or help facilitate online learning. Furthermore, fields historically dominated by women were particularly hard hit, such as education, hospitality, and retail causing many women who may not be mothers to leave the work force as well. This paper considers how women’s labor force participation has changed throughout the COVID-19 pandemic and how the re-opening of schools, in particular, has impacted women’s return to the workforce. Triple …
Discrimination Among College Football Head Coaches, Yusuke Fukuda
Discrimination Among College Football Head Coaches, Yusuke Fukuda
Honors Theses
Several major sports organizations have come under scrutiny in recent years for alleged discriminatory practices towards minority coaches. In this paper, I analyze whether minority college football head coaches are more likely to be fired and to earn a lower salary. I observe a sample of 300 head coaches from 132 Division-I Football Bowl Subdivision (FBS) schools between the years 2006 to 2021. After controlling for performance and experience variables and holding the time and school or conference variables fixed in a Cox hazard regression model, I find statistically significant evidence that minority coaches face a higher likelihood of being …
The Impact Of The Covid-19 Pandemic On Corporate Financial Fragility In The Vietnamese Manufacturing Industry, Trang Nguyen
The Impact Of The Covid-19 Pandemic On Corporate Financial Fragility In The Vietnamese Manufacturing Industry, Trang Nguyen
Honors Theses
In the past decades, under the government’s export-led growth strategy, the Vietnamese manufacturing sector – the backbone of the whole Vietnamese economy – has established a deep tie with the international market and the reliance on foreign buyers has fueled the growth of this sector before COVID-19. However, during the pandemic, when the global market contracted at -3.5 percent and demand slumped globally, this existing growth model and the manufacturing sector’s reliance on foreign buyers induced significant risks to this sector from both the demand and supply side. Using the firm-level data on 41 manufacturing exporting companies from the Vietstock …
Uniform Nonparametric Inference For Spatially Dependent Panel Data: The Xtnpsreg Command, Jia Li, Zhipeng Liao, Wenyu Zhou
Uniform Nonparametric Inference For Spatially Dependent Panel Data: The Xtnpsreg Command, Jia Li, Zhipeng Liao, Wenyu Zhou
Research Collection School Of Economics
In this article, we introduce a command, xtnpsreg, that implements a uniform nonparametric inference procedure for possibly unbalanced panel datasets with general forms of spatio-temporal dependence. We demonstrate how to apply this command in several use cases, including (i) the nonparametric estimation of conditional mean function and its marginal response; (ii) the construction of uniform confidence bands for these nonparametric functional parameters; (iii) specification tests for parametric model restrictions; and (iv) the estimation and uniform inference for functional coefficients in semi-nonparametric models.
Forecasting Equity Index Volatility By Measuring The Linkage Among Component Stocks, Yue Qiu, Tian Xie, Jun Yu, Qiankun Zhou
Forecasting Equity Index Volatility By Measuring The Linkage Among Component Stocks, Yue Qiu, Tian Xie, Jun Yu, Qiankun Zhou
Research Collection School Of Economics
The linkage among the realized volatilities of component stocks is important when modeling and forecasting the relevant index volatility. In this article, the linkage is measured via an extended Common Correlated Effects (CCEs) approach under a panel heterogeneous autoregression model where unobserved common factors in errors are assumed. Consistency of the CCE estimator is obtained. The common factors are extracted using the principal component analysis. Empirical studies show that realized volatility models exploiting the linkage effects lead to significantly better out-of-sample forecast performance, for example, an up to 32% increase in the pseudo R2. We also conduct various forecasting exercises …
Learning Before Testing: A Selective Nonparametric Test For Conditional Moment Restrictions, Jia Li, Zhipeng Liao, Wenyu Zhou
Learning Before Testing: A Selective Nonparametric Test For Conditional Moment Restrictions, Jia Li, Zhipeng Liao, Wenyu Zhou
Research Collection School Of Economics
This paper develops a new test for conditional moment restrictions via nonparametric series regression, with approximating series terms selected by Lasso. Machine-learning the main features of the unknown conditional expectation function beforehand enables the test to seek power in a targeted fashion. The data-driven selection, however, also tends to distort the test’s size nontrivially, because it restricts the (growing-dimensional) score vector in the series regression on a random polytope, and hence, effectively alters the score’s asymptotic normality. A novel critical value is proposed to account for this truncation effect. We establish the size and local power properties of the proposed …
Improving Estimation Efficiency Via Regression-Adjustment In Covariate-Adaptive Randomizations With Imperfect Compliance, Liang Jiang, Oliver B. Linton, Haihan Tang, Yichong Zhang
Improving Estimation Efficiency Via Regression-Adjustment In Covariate-Adaptive Randomizations With Imperfect Compliance, Liang Jiang, Oliver B. Linton, Haihan Tang, Yichong Zhang
Research Collection School Of Economics
We study how to improve efficiency via regression adjustments with additional covariates under covariate-adaptive randomizations (CARs) when subject compliance is imperfect. We first establish the semiparametric efficiency bound for the local average treatment effect (LATE) under CARs. Second, we develop a general regression-adjusted LATE estimator which allows for parametric, nonparametric, and regularized adjustments. Even when the adjustments are misspecified, our proposed estimator is still consistent and asymptotically normal, and their inference method still achieves the exact asymptotic size under the null. When the adjustments are correctly specified, our estimator achieves the semiparametric efficiency bound. Third, we derive the optimal linear …
Evaluating The Impact Of Off-Farm Decisions On Federal Government Program Utilization And Financial Success For Missouri's Beginning Farmers, Lyndsey Ann Parker
Evaluating The Impact Of Off-Farm Decisions On Federal Government Program Utilization And Financial Success For Missouri's Beginning Farmers, Lyndsey Ann Parker
MSU Graduate Theses
Farmers and ranchers will have to increase production by approximately 70% by the year 2050 according to the American Farm Bureau Federation (2017). People in the agriculture industry face several challenges from start-up costs to limited land availability (Ahearn, 2011). There are federal and state government programs available to assist with some of these challenges but bring their own hardships as well. This study measures off-farm decisions that affect financial performance and utilization of government programs for Missouri’s farmers and ranchers. Three types of financial performance of Missouri farms are prioritized in this study, liquidity (current ratio), solvency (debt-to-asset ratio), …
The Effect Of Covid-19 On The Black Workforce In The Us, Catherine Bradley
The Effect Of Covid-19 On The Black Workforce In The Us, Catherine Bradley
Ideas: Exhibit Catalog for the Honors College Visiting Scholars Series
This article focuses on the challenges Black Americans have faced since the start of COVID-19 including social, medical, and financial struggles. This article highlights that these challenges are not new, but exacerbated by the pandemic by discussing the inequities before and during the pandemic as well as providing potential solutions to these problems.
Perishable Goods Versus Re-Tradable Assets: A Theoretical Reappraisal Of A Fundamental Dichotomy, Sabiou M. Inoua, Vernon L. Smith
Perishable Goods Versus Re-Tradable Assets: A Theoretical Reappraisal Of A Fundamental Dichotomy, Sabiou M. Inoua, Vernon L. Smith
ESI Working Papers
Although various typologies of goods are commonly adopted in economics, one stood out in market experiment results contrasting market stability and efficiency with market instability: non-durable, or perishable, goods (Smith, 1962) versus durable re-tradable assets (Smith et al., 1988; Dickhaut et al., 2012; S. D. Gjerstad et al., 2015). This dichotomy of goods also proved central for understanding macroeconomic instability more broadly: about 75% of consumer spending is bought for final consumption, and is a rock of stability; instability arises from the other 25% re-tradable goods, most prominently, houses (S. D. Gjerstad & Smith, 2014). In this chapter, we revisit …