Digital Commons Network^™

Using Pupil Transportation Data To Explore Educational Inequities And Outcomes: A Case Study From New York City, Sarah Cordes, Samantha Trajkovski, Christopher Rick, Meryle Weinstein, Amy Ellen Schwartz

Center for Policy Research

This article explores how researchers can use pupil transportation data to explore key questions about the role of transportation in educational access and equity, such as how students get to school and the effect of transportation on student outcomes. We first describe different sources of transportation data that are available to researchers, provide a brief review of relevant literature, and discuss potential sources of measurement error in pupil transportation data. Next, we use administrative data from New York City to illustrate how pupil transportation data can be used to understand transportation eligibility and assignment as well as to describe the …

Towering Intellects? Sizing Up The Relationship Between Height And Academic Success, Stephanie Coffey, Amy Ellen Schwartz

Center for Policy Research

Do tall students do better in school? While a robust literature documents higher earnings among taller people, we know little about the potential academic origins of the height earnings gradient. In this paper, we use unique student-level longitudinal data from New York City (NYC) to examine the link between height and academic outcomes, shedding light on underlying mechanisms. The centerpiece of our empirical work is a regression linking academic outcomes to height, measured as a z-score normalized to same grade/sex peers within schools. We estimate a meaningful height gradient for both boys and girls in ELA and math achievement in …

Is Offense Worth More Than Defense In The National Basketball Association?, Justin Ehrlich, Joel Potter

Sport Management - All Scholarship

Motivated by the popular sports saying, “Offense sells tickets, defense wins championships,” we use Forbes revenue data to quantify whether offense really does sell more ‘tickets’ than defense in the National Basketball Association (NBA). Employing team offensive and defensive win shares as measures of offensive and defensive proficiency, we find offensively oriented teams generate the same amount of revenue as do defensively oriented teams, other things equal. Our results suggest that both profit-maximizing and win-maximizing teams should value offensively and defensively players equivalently (per unit). Thus, in an efficient free agent market, we would expect equilibrium player salaries for offensive …

What Makes A Classmate A Peer? Examining Which Peers Matter In Nyc Elementary Schools, William C. Horrace, Hyunseok Jung, Jonathan L. Pressler, Amy Ellen Schwartz

Center for Policy Research

Generalizing the group interaction model of Lee (2007), we identify and estimate the effects of student level social spillovers on standardized test performance in New York City (NYC) elementary schools. We leverage student demographic data to construct within-classroom social networks based on shared student characteristics, such as a gender or ethnicity. Rather than aggregate shared characteristics into a single network matrix, we specify additively separate network matrices for each shared characteristic and estimate city-wide peer effects for each one. Conditional on being in the same classroom, we find that the most important student peer effects are shared ethnicity, gender, and …

Behavioral Bias In Occupational Fatality Risk: Theory, Evidence, And Implications, Perry Singleton

Center for Policy Research

Behavioral bias in occupational fatality risk is introduced to the theoretical framework of hedonic wages, yielding an endogenous risk ceiling that increases social welfare. Empirically, bias is most evident among workers with no high school diploma, who do not report relatively greater exposure to death in high fatality rate occupations. These findings suggest that extant population estimates of value of statistical life are biased downwards and should be factored by at least 1.35. Under reasonable assumptions, simulations suggest an optimal risk ceiling between 73.0 to 85.9 percentile of the population distribution of occupational fatality risk.

Do Minimum Charity Care Provision Requirements Increase Provision Of Charity Care In Nonprofit Hospitals?, Michah W. Rothbart, Nara Yoon

Population Health Research Brief Series

Nonprofit hospitals receive significant federal, state, and local tax exemptions, partly based on the rationale that nonprofit hospitals provide public goods and services. Through Minimum Charity Care Provision (MCCP) requirements, nonprofit hospitals are required to spend a certain percentage of their revenues on charity care. However, it is not clear whether these requirements increase spending on charity care. This brief summarizes findings from research examining the differences in provisions of charity care across different hospital market sectors – non-profit, for-profit, and government. Findings suggest that MCCP requirements for nonprofit hospitals do not lead to more charity care. If anything, targeting …

The U.S. Child Care Subsidy Program Is Underused But Well-Positioned To Promote Racial Equity, Taryn Morrissey, Colleen Heflin, William Fannin

Population Health Research Brief Series

Child care is expensive and difficult to find, especially for infants and toddlers. Compared to their higher-income peers, children from lower-income families are less likely to attend out-of-home early childhood care – which tend to be more expensive but provides more stability and is higher quality than home-based care. This contributes to disparities in school readiness and later life outcomes. This brief summarizes findings from a recently published paper examining administrative data from the Commonwealth of Virginia. Findings suggest that children are least likely to receive subsides when they are infants and toddlers despite early childhood care being the most …

Robust Dynamic Panel Data Models Using ��-Contamination, Badi H. Baltagi, Georges Bresson, Anoop Chaturvedi, Guy Lacroix

Center for Policy Research

This paper extends the work of Baltagi et al. (2018) to the popular dynamic panel data model. We investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution. The proposed robust Bayesian approach departs from the standard Bayesian framework in two ways. First, we consider the ε-contamination class of prior distributions for the model parameters as well as for the individual effects. Second, both the base elicited priors and the ε-contamination priors use Zellner (1986)'s g-priors for the variance-covariance matrices. We propose a general "toolbox" for a wide range of specifications which includes the dynamic …

Economics For Everyday Life: Opportunity Cost And Marginal Benefit, Christian Palencia

English Language Institute

Economics is a social science that may feel unreal or even useless for many people. Its concepts and definitions can be abstracts, complex and unpragmatic. However, the comprehend of some ideas of this science can be the key for a success decision making process for normal people’s life.

Contrary to popular belief, the economy is not about money, it is focused on studying the problem of shortage. Resources such as time and money are scarce, consequently, understanding the basic of economics is fundamental for everyone not only for economists. The opportunity cost and marginal benefit are an examples of two …

Analysis Of The Failure Of Ivorian Startups In Cote D'Ivoire, Kleyban Sanogo

English Language Institute

After the post-election crisis of 2011, Cote d'Ivoire has experienced increased economic growth. However, this growth does not benefit local businesses, especially startups. Athough the phenomenon is very trendy, the many startups that are created are struggling to succeed. the founders' motivations are not always good, their knowledge and skills need to be reviewed and the environment is not favorable to them.

Socializing Vacancy: An Architectural Thesis, Greg Winawer

Architecture Senior Theses

A large portion of office space has been left vacant, and thus provides no beneficial program to its remaining occupants or the local urbanity it is surrounded by. When considering what can be done with this vacant space, the primary motivation should be to integrate a program which does the opposite: a program which positively disrupts its existing context to hybridize and improve the current outdated programmatic arrangement. To insert a residential program into an existing office tower both disrupts and enhances the rigorous flows of our working and our domestic lives. The predefined universal concept of the ‘working-day’ is …

New York Camp Econometrics Xv Program, Center For Policy Research

Camp Econometrics-Programs

No abstract provided.

Depth-Weighted Forecast Combination: Application To Covid-19 Cases, Yoonseok Lee, Donggyu Sul

Center for Policy Research

We develop a novel forecast combination based on the order statistics of individual predictability when many forecasts are available. To this end, we define the notion of forecast depth, which measures the size of forecast errors during the training period and provides a ranking among different forecast models. The forecast combination is in the form of a depth-weighted trimmed mean, where the group of models with the worst forecasting performance during the training period is dropped. We derive the limiting distribution of the depth-weighted forecast combination, based on which we can readily construct forecast confidence intervals. Using this novel forecast …

The Effect Of Industrial Robots On Workplace Safety, Ling Li, Perry Singleton

Center for Policy Research

This study measures the effect of industrial robots on workplace safety at the commuting zone level, exploiting potentially exogenous variation in robot exposure due to technological progress. Workplace safety is measured by workers involved in severe or fatal accidents inspected by the Occupational Safety and Health Administration. From 2000 to 2007, we find that one additional robot in exposure per 1,000 workers decreased the OSHA accident rate at the mean by 15.1 percent. We also find that robot exposure decreased OSHA violations and accidents more likely to be affected by robot penetration, specifically those involving machinery or electrical.

Trimmed Mean Group Estimation, Yoonseok Lee, Donggyu Sul

Center for Policy Research

This paper develops robust panel estimation in the form of trimmed mean group estimation for potentially heterogenous panel regression models. It trims outlying individuals of which the sample variances of regressors are either extremely small or large. The limiting distribution of the trimmed estimator can be obtained in a similar way to the standard mean group estimator, provided the random coefficients are conditionally homoskedastic. We consider two trimming methods. The first one is based on the order statistic of the sample variance of each regressor. The second one is based on the Mahalanobis depth of the sample variances of regressors. …

The Effect Of Attendance On Home Field Advantage In The National Football League: A Natural Experiment, Justin Ehrlich, Joel Potter, Shane Sanders

Sport Management - All Scholarship

While economists have previously noted that home field advantage is affected by crowd density, isolating this effect is difficult since crowd size is likely endogenous with team ability and game matchup. The COVID-19 pandemic has presented a unique natural experiment since local governments have introduced safety protocols that varies widely across the United States. These safety protocols have limited attendance in varying ways for live sporting events, including National Football League games. Given the differential (and exogenous) attendance restrictions, we were able to isolate three broad categories of attendance: 1) games without attendance restrictions (seasons 2016-2019), 2) games with limited …

Dynamic And Non-Neutral Productivity Effects Of Foreign Ownership: A Nonparametric Approach, Yoonseok Lee, Mary Lovely, Hoang Pham

Center for Policy Research

This paper studies two novel productivity characteristics of foreign acquisition on high-tech manufacturing firms: the dynamic and the non-Hicks-neutral effects. A dynamic productivity effect of foreign ownership arises when adoption of foreign technology and management practices takes time to fully realize. Furthermore, these dynamic adjustments may be capital or labor augmenting as adoption of advanced production technologies tends to have non-neutral productivity implications in developed countries. We propose and implement an econometric framework to estimate both effects using firm-level data from China's manufacturing sector. Our framework extends the nonparametric productivity framework developed by Gandhi, Navarro and Rivers (2020), in which …