scholarly journals Measuring Job Creation, Growth, and Survival among the Universe of Start-ups in the United States Using a Combined Start-up Panel Data Set

ILR Review ◽  
2019 ◽  
Vol 72 (5) ◽  
pp. 1262-1277 ◽  
Author(s):  
Robert W. Fairlie ◽  
Javier Miranda ◽  
Nikolas Zolas

The field of entrepreneurship is growing rapidly and expanding into new areas. This article presents a new compilation of administrative panel data on the universe of business start-ups in the United States, which will be useful for future research in entrepreneurship. To create the US start-up panel data set, the authors link the universe of non-employer firms to the universe of employer firms in the Longitudinal Business Database (LBD). Start-up cohorts of more than five million new businesses per year, which create roughly three million jobs, can be tracked over time. To illustrate the potential of the new start-up panel data set for future research, the authors provide descriptive statistics for a few examples of research topics using a representative start-up cohort.

2021 ◽  
pp. 24-33
Author(s):  
John Appert ◽  
Ege Can ◽  
Frank M. Fossen

<p xss=removed><span lang="EN-GB" xss=removed>We investigate regional growth regimes in the US states from 1980 to 2014. Based on start-up rates and employment growth as suggested by Audretsch and Fritsch (2002), we classify states into routinized, entrepreneurial, revolving door, and downsizing regimes. The results indicate that there was no significant association between start-up rates and employment growth in the 1980s, but a positive relationship in the 1990s, 2000s, and 2010s. Further, we document that the entrepreneurial and the downsizing regimes are attractor regimes that tend to stick, whereas the routinized and revolving door regimes are transitionary regimes. Importantly, states in the routinized regime predominantly move to the downsizing regime, suggesting that an over-reliance on established companies relative to start-ups in the state may threaten employment growth in the long run.</span><br></p>


Author(s):  
Gilles Duruflé ◽  
Thomas Hellmann ◽  
Karen Wilson

This chapter examines the challenge for entrepreneurial companies of going beyond the start-up phase and growing into large successful companies. We examine the long-term financing of these so-called scale-up companies, focusing on the United States, Europe, and Canada. The chapter first provides a conceptual framework for understanding the challenges of financing scale-ups. It emphasizes the need for investors with deep pockets, for smart money, for investor networks, and for patient money. It then shows some data about the various aspects of financing scale-ups in the United States, Europe, and Canada, showing how Europe and Canada are lagging behind the US relatively more at the scale-up than the start-up stage. Finally, the chapter raises the question of long-term public policies for supporting the creation of a better scale-up environment.


Author(s):  
Andrea Romero ◽  
Brandy Piña-Watson

This chapter discusses the concepts of acculturative and bicultural stress, the theory and method behind the measurement, and the implications of the US immigration policy context for stress. The central sources of acculturative and bicultural stress are reviewed, including intergroup discrimination, language stress, intragroup marginalization, and family cultural conflict. In particular, literature is reviewed that examines the association between mental health and acculturative or bicultural stress. Extant research does demonstrate that degree of stress varies for individuals and that acculturative/bicultural stress is experienced not only by immigrants but also by minorities in the United States. Therefore, the present chapter reviews literature that connects the acculturative/bicultural stress process across generations. The immigration context is considered for future research in the area of acculturation and stress.


2019 ◽  
Vol 22 (1) ◽  
pp. 261-276 ◽  
Author(s):  
Richard L. Hasen

The increased polarization in the United States among the political branches and citizenry affects the selection, work, perception, and relative power of state and federal judges, including justices of the US Supreme Court. Polarization in the United States over the last few decades matters to the American judicial system in at least four ways. First, polarization affects judicial selection, whether the selection method is (sometimes partisan-based) elections or appointment by political actors. In times of greater polarization, governors and presidents who nominate judges, legislators who confirm judges, and voters who vote on judicial candidates are more apt to support or oppose judges on the basis of partisan affiliation or cues. Second, driven in part by selection mechanisms, polarization may be reflected in the decisions that judges make, especially on issues that divide people politically, such as abortion, guns, or affirmative action. The Supreme Court, for example, often divides along party and ideological lines in the most prominent and highly contested cases. Those ideological lines now overlap with party as we enter a period in which all the Court liberals have been appointed by Democratic presidents and all the Court conservatives have been appointed by Republican presidents. Third, increasingly polarized judicial decisions appear to be causing the public to view judges and judicial decision making (at least on the US Supreme Court) through a more partisan lens. Fourth, polarization may affect the separation of powers, by empowering courts against polarized legislative bodies sometimes paralyzed by gridlock. The review concludes by considering how increased polarization may interact with the judiciary and judicial branch going forward and by suggesting areas for future research.


2021 ◽  
Vol 8 ◽  
Author(s):  
Stacey R. Ramey ◽  
Stephanie Merlino Barr ◽  
Katie A. Moore ◽  
Sharon Groh-Wargo

Introduction: Human milk (HM) is the ideal enteral feeding for nearly all infants and offers unique benefits to the very low birthweight (VLBW) infant population. It is a challenge to meet the high nutrient requirements of VLBW infants due to the known variability of HM composition. Human milk analysis (HMA) assesses the composition of HM and allows for individualized fortification. Due to recent U.S. Food and Drug Administration (FDA) approval, it has relatively recent availability for clinical use in the US.Aim: To identify current practices of HMA and individualized fortification in neonatal intensive care units (NICUs) across the United States (US) and to inform future translational research efforts implementing this nutrition management method.Methods: An institutional review board (IRB) approved survey was created and collected data on the following subjects such as NICU demographics, feeding practices, HM usage, HM fortification practices, and HMA practices. It was distributed from 10/30–12/21/2020 via online pediatric nutrition groups and listservs selected to reach the intended audience of NICU dietitians and other clinical staff. Each response was assessed prior to inclusion, and descriptive analysis was performed.Results: About 225 survey responses were recorded during the survey period with 119 entries included in the analysis. This represented 36 states and Washington D.C., primarily from level III and IV NICUs. HMA was reported in 11.8% of responding NICUs. The most commonly owned technology for HMA is the Creamatocrit Plus TM (EKF Diagnostics), followed by the HM Analyzer by Miris (Uppsala, Sweden). In NICUs practicing HMA, 84.6% are doing so clinically.Discussion: Feeding guidelines and fortification of HM remain standard of care, and interest in HMA was common in this survey. Despite the interest, very few NICUs are performing HMA and individualized fortification. Barriers identified include determining who should receive individualized fortification and how often, collecting a representative sample, and the cost and personnel required.Conclusions: Human milk analysis and individualized fortification are emerging practices within NICUs in the US. Few are using it in the clinical setting with large variation in execution among respondents and many logistical concerns regarding implementation. Future research may be beneficial to evaluate how practices change as HMA and individualized fortification gain popularity and become more commonly used in the clinical setting.


2020 ◽  
Vol 7 (1) ◽  
pp. 163-180
Author(s):  
Saagar S Kulkarni ◽  
Kathryn E Lorenz

This paper examines two CDC data sets in order to provide a comprehensive overview and social implications of COVID-19 related deaths within the United States over the first eight months of 2020. By analyzing the first data set during this eight-month period with the variables of age, race, and individual states in the United States, we found correlations between COVID-19 deaths and these three variables. Overall, our multivariable regression model was found to be statistically significant.  When analyzing the second CDC data set, we used the same variables with one exception; gender was used in place of race. From this analysis, it was found that trends in age and individual states were significant. However, since gender was not found to be significant in predicting deaths, we concluded that, gender does not play a significant role in the prognosis of COVID-19 induced deaths. However, the age of an individual and his/her state of residence potentially play a significant role in determining life or death. Socio-economic analysis of the US population confirms Qualitative socio-economic Logic based Cascade Hypotheses (QLCH) of education, occupation, and income affecting race/ethnicity differently. For a given race/ethnicity, education drives occupation then income, where a person lives, and in turn his/her access to healthcare coverage. Considering socio-economic data based QLCH framework, we conclude that different races are poised for differing effects of COVID-19 and that Asians and Whites are in a stronger position to combat COVID-19 than Hispanics and Blacks.


2020 ◽  
Author(s):  
Jorn op den Buijs ◽  
Marten Pijl ◽  
Andreas Landgraf

BACKGROUND Predictive analytics based on data from remote monitoring of elderly via a personal emergency response system (PERS) in the United States can identify subscribers at high risk for emergency hospital transport. These risk predictions can subsequently be used to proactively target interventions and prevent avoidable, costly health care use. It is, however, unknown if PERS-based risk prediction with targeted interventions could also be applied in the German health care setting. OBJECTIVE The objectives were to develop and validate a predictive model of 30-day emergency hospital transport based on data from a German PERS provider and compare the model with our previously published predictive model developed on data from a US PERS provider. METHODS Retrospective data of 5805 subscribers to a German PERS service were used to develop and validate an extreme gradient boosting predictive model of 30-day hospital transport, including predictors derived from subscriber demographics, self-reported medical conditions, and a 2-year history of case data. Models were trained on 80% (4644/5805) of the data, and performance was evaluated on an independent test set of 20% (1161/5805). Results were compared with our previously published prediction model developed on a data set of PERS users in the United States. RESULTS German PERS subscribers were on average aged 83.6 years, with 64.0% (743/1161) females, with 65.4% (759/1161) reported 3 or more chronic conditions. A total of 1.4% (350/24,847) of subscribers had one or more emergency transports in 30 days in the test set, which was significantly lower compared with the US data set (2455/109,966, 2.2%). Performance of the predictive model of emergency hospital transport, as evaluated by area under the receiver operator characteristic curve (AUC), was 0.749 (95% CI 0.721-0.777), which was similar to the US prediction model (AUC=0.778 [95% CI 0.769-0.788]). The top 1% (12/1161) of predicted high-risk patients were 10.7 times more likely to experience an emergency hospital transport in 30 days than the overall German PERS population. This lift was comparable to a model lift of 11.9 obtained by the US predictive model. CONCLUSIONS Despite differences in emergency care use, PERS-based collected subscriber data can be used to predict use outcomes in different international settings. These predictive analytic tools can be used by health care organizations to extend population health management into the home by identifying and delivering timelier targeted interventions to high-risk patients. This could lead to overall improved patient experience, higher quality of care, and more efficient resource use.


2010 ◽  
Vol 13 (1) ◽  
pp. 29-46
Author(s):  
Sherrie Human ◽  
Thomas Clark ◽  
Charles H. Matthews ◽  
Julie Stewart ◽  
Candace Gunnarsson

Relatively few comparative studies have examined how perceptions across cultures might converge or diverge regarding careers in general and new venture careers in particular. Our research addresses this gap by providing a comparative study of career perceptions among undergraduate business students in three countries with different levels of experience with capitalism: Ukraine, South Korea, and the United States. Results suggest both surprising differences and interesting similarities between undergraduate students in the three countries with regard to how they perceive characteristics associated with entrepreneurial careers. Findings are discussed in the context of distinct differences and commonalities across cultures and implications for future research provided.


Author(s):  
Sotiris Vandoros ◽  
Ichiro Kawachi

AbstractPrevious studies have found an association between recessions and increased rates of suicide. In the present study we widened the focus to examine the association between economic uncertainty and suicides. We used monthly suicide data from the US at the State level from 2000 to 2017 and combined them with the monthly economic uncertainty index. We followed a panel data econometric approach to study the association between economic uncertainty and suicide, controlling for unemployment and other indicators. Economic uncertainty is positively associated with suicide when controlling for unemployment [coeff: 8.026; 95% CI: 3.692–12.360] or for a wider range of economic and demographic characteristics [coeff: 7.478; 95% CI: 3.333–11.623]. An increase in the uncertainty index by one percent is associated with an additional 11–24.4 additional monthly suicides in the US. Economic uncertainty is likely to act as a trigger, which underlines the impulsive nature of some suicides. This highlights the importance of providing access to suicide prevention interventions (e.g. hotlines) during periods of economic uncertainty.


2020 ◽  
Vol 22 (10) ◽  
pp. 1831-1841 ◽  
Author(s):  
Shannon Gravely ◽  
K Michael Cummings ◽  
David Hammond ◽  
Eric Lindblom ◽  
Danielle M Smith ◽  
...  

Abstract Aims This study examined whether nontobacco flavors are more commonly used by vapers (e-cigarette users) compared with tobacco flavor, described which flavors are most popular, and tested whether flavors are associated with: vaping satisfaction relative to smoking, level of enjoyment with vaping, reasons for using e-cigarettes, and making an attempt to quit smoking by smokers. Methods This cross-sectional study included 1603 adults from Canada and the United States who vaped at least weekly, and were either current smokers (concurrent users) or former smokers (exclusive vapers). Respondents were categorized into one of seven flavors they used most in the last month: tobacco, tobacco–menthol, unflavored, or one of the nontobacco flavors: menthol/mint, fruit, candy, or “other” (eg, coffee). Results Vapers use a wide range of flavors, with 63.1% using a nontobacco flavor. The most common flavor categories were fruit (29.4%) and tobacco (28.7%), followed by mint/menthol (14.4%) and candy (13.5%). Vapers using candy (41.0%, p &lt; .0001) or fruit flavors (26.0%, p = .01) found vaping more satisfying (compared with smoking) than vapers using tobacco flavor (15.5%) and rated vaping as very/extremely enjoyable (fruit: 50.9%; candy: 60.9%) than those using tobacco flavor (39.4%). Among concurrent users, those using fruit (74.6%, p = .04) or candy flavors (81.1%, p = .003) were more likely than tobacco flavor users (63.5%) to vape in order to quit smoking. Flavor category was not associated with the likelihood of a quit attempt (p = .46). Among exclusive vapers, tobacco and nontobacco flavors were popular; however, those using tobacco (99.0%) were more likely than those using candy (72.8%, p = .002) or unflavored (42.5%, p = .005) to vape in order to stay quit. Conclusions A majority of regular vapers in Canada and the US use nontobacco flavors. Greater satisfaction and enjoyment with vaping are higher among fruit and candy flavor users. While it does not appear that certain flavors are associated with a greater propensity to attempt to quit smoking among concurrent users, nontobacco flavors are popular among former smokers who are exclusively vaping. Future research should determine the likely impact of flavor bans on those who are vaping to quit smoking or to stay quit. Implications Recent concerns about the attractiveness of e-cigarette flavors among youth have resulted in flavor restrictions in some jurisdictions of the United States and Canada. However, little is known about the possible consequences for current and former smokers if they no longer have access to their preferred flavors. This study shows that a variety of nontobacco flavors, especially fruit, are popular among adult vapers, particularly among those who have quit smoking and are now exclusively vaping. Limiting access to flavors may therefore reduce the appeal of e-cigarettes among adults who are trying to quit smoking or stay quit.


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