The causal effects of education on welfare participation in the US

2021 ◽  
pp. 1-17
Author(s):  
Fabrice Kämpfen
Keyword(s):  
Causal Effects ◽  
Welfare Participation ◽  
The Us

scholarly journals Impacts of COVID-19 interventions: Health, economics, and inequality

2021 ◽  
Author(s):  
X. Flora Meng ◽  
Dalton Jones ◽  
Roberto Rigobon ◽  
Munther Dahleh
Keyword(s):  
Strong Predictor ◽  
Causal Effects ◽  
Economic Conditions ◽  
Contact Tracing ◽  
Socioeconomically Disadvantaged ◽  
Agent Based ◽  
Disadvantaged Population ◽  
The Us ◽  
Deaths Of Despair ◽  
Nonpharmaceutical Interventions

Abstract Coronavirus disease 2019 (COVID-19) is exacerbating inequalities in the US. We build an agent-based model to elucidate the differential causal effects of nonpharmaceutical interventions on different communities and validate the results with US data. We simulate viral transmission and the consequent deterioration of economic conditions on socioeconomically disadvantaged and privileged populations. As found in data, our model shows that the trade-off between COVID-19 deaths and deaths of despair, dependent on the lockdown level, only exists in the socioeconomically disadvantaged population. Moreover, household overcrowding is a strong predictor of the infection rate. The model also yields new insights that fill in the gaps of our data analysis. While subsidisation narrows the socioeconomic gap in deaths of despair, the combination of testing and contact tracing alone is effective at reducing disparities in both types of death. Our results contribute to policy modelling and evaluation for reducing inequality during a pandemic.

Net Neutrality and Investment in the US: A Review of Evidence from the 2018 Restoring Internet Freedom Order

2018 ◽  
Vol 17 (3) ◽  
pp. 175-205 ◽  
Author(s):  
George S. Ford
Keyword(s):  
Impact Analysis ◽  
Causal Effects ◽  
Net Neutrality ◽  
Broadband Internet ◽  
The Us ◽  
Before And After ◽  
Internet Freedom ◽  
Access Services ◽  
Bad Data ◽  
Relevant Factors

Abstract In 2018, the Federal Communications Commission’s Restoring Internet Freedom Order reversed its 2015 decision to apply common carrier regulation to broadband Internet access services under Title II of the Communications Act of 1934. Empirical evidence indicating negative investment effects of the regulation played a key role in this reversal, though the quantification of these investment effects were a matter of substantial controversy. This article surveys the studies cited in the recent decision and the Commission’s scrutiny of them. In all, the Commission considered eight primary works but relied on only two of them, a culling process that relied on four principles: (1) simply comparing outcomes before-and-after an event is not a valid impact analysis; (2) before-and-after comparisons are more probative if regression analysis is used to condition the outcomes by accounting for potentially relevant factors like economic growth, sales, and so forth; (3) the causal effects of a regulation are best determined with reference to a counterfactual; and (4) the application of proper methods does not excuse the use of bad data. These principles are mostly uncontroversial and are consistent with the modern practice of impact analysis.

The Eleventh Circuit Holds that Agreements in which Pharmaceutical Companies Pay Generic Companies Not to Compete May be Valid

2004 ◽  
Vol 32 (1) ◽  
pp. 181-184
Author(s):  
Amy Garrigues
Keyword(s):  
Pharmaceutical Companies ◽  
Court Decisions ◽  
Patent Holder ◽  
Trial Court ◽  
Court Of Appeals ◽  
The Us ◽  
Antitrust Laws ◽  
Per Se ◽  
Appeals Court ◽  
Two Sides

On September 15, 2003, the US. Court of Appeals for the Eleventh Circuit held that agreements between pharmaceutical and generic companies not to compete are not per se unlawful if these agreements do not expand the existing exclusionary right of a patent. The Valley DrugCo.v.Geneva Pharmaceuticals decision emphasizes that the nature of a patent gives the patent holder exclusive rights, and if an agreement merely confirms that exclusivity, then it is not per se unlawful. With this holding, the appeals court reversed the decision of the trial court, which held that agreements under which competitors are paid to stay out of the market are per se violations of the antitrust laws. An examination of the Valley Drugtrial and appeals court decisions sheds light on the two sides of an emerging legal debate concerning the validity of pay-not-to-compete agreements, and more broadly, on the appropriate balance between the seemingly competing interests of patent and antitrust laws.

Relation of Statistically Significant, Abnormal, and Typical WAIS-R VIQ-PIQ Discrepancies to Full Scale IQs

2000 ◽  
Vol 16 (2) ◽  
pp. 107-114 ◽  
Author(s):  
Louis M. Hsu ◽  
Judy Hayman ◽  
Judith Koch ◽  
Debbie Mandell
Keyword(s):  
Graphical Method ◽  
The United States ◽  
Full Scale ◽  
True Score ◽  
Absolute Value ◽  
Normative Population ◽  
The Us ◽  
The Mean ◽  
And Performance ◽  
Quadratic Models

Summary: In the United States' normative population for the WAIS-R, differences (Ds) between persons' verbal and performance IQs (VIQs and PIQs) tend to increase with an increase in full scale IQs (FSIQs). This suggests that norm-referenced interpretations of Ds should take FSIQs into account. Two new graphs are presented to facilitate this type of interpretation. One of these graphs estimates the mean of absolute values of D (called typical D) at each FSIQ level of the US normative population. The other graph estimates the absolute value of D that is exceeded only 5% of the time (called abnormal D) at each FSIQ level of this population. A graph for the identification of conventional “statistically significant Ds” (also called “reliable Ds”) is also presented. A reliable D is defined in the context of classical true score theory as an absolute D that is unlikely (p < .05) to be exceeded by a person whose true VIQ and PIQ are equal. As conventionally defined reliable Ds do not depend on the FSIQ. The graphs of typical and abnormal Ds are based on quadratic models of the relation of sizes of Ds to FSIQs. These models are generalizations of models described in Hsu (1996) . The new graphical method of identifying Abnormal Ds is compared to the conventional Payne-Jones method of identifying these Ds. Implications of the three juxtaposed graphs for the interpretation of VIQ-PIQ differences are discussed.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

Measurement Invariance of a Universal Behavioral Screener Across Samples From the USA and Germany

2018 ◽  
Vol 34 (2) ◽  
pp. 87-100 ◽  
Author(s):  
Gino Casale ◽  
Robert J. Volpe ◽  
Brian Daniels ◽  
Thomas Hennemann ◽  
Amy M. Briesch ◽  
...  
Keyword(s):  
Measurement Invariance ◽  
Student Behavior ◽  
Cross Cultural ◽  
Cross Cultural Comparison ◽  
School Based ◽  
Cultural Research ◽  
Universal Screener ◽  
Confirmatory Factor ◽  
The Us ◽  
The Usa

Abstract. The current study examines the item and scalar equivalence of an abbreviated school-based universal screener that was cross-culturally translated and adapted from English into German. The instrument was designed to assess student behavior problems that impact classroom learning. Participants were 1,346 K-6 grade students from the US (n = 390, Mage = 9.23, 38.5% female) and Germany (n = 956, Mage = 8.04, 40.1% female). Measurement invariance was tested by multigroup confirmatory factor analysis (CFA) across students from the US and Germany. Results support full scalar invariance between students from the US and Germany (df = 266, χ2 = 790.141, Δχ2 = 6.9, p < .001, CFI = 0.976, ΔCFI = 0.000, RMSEA = 0.052, ΔRMSEA = −0.003) indicating that the factor structure, the factor loadings, and the item thresholds are comparable across samples. This finding implies that a full cross-cultural comparison including latent factor means and structural coefficients between the US and the German version of the abbreviated screener is possible. Therefore, the tool can be used in German schools as well as for cross-cultural research purposes between the US and Germany.

Sign in / Sign up

Export Citation Format

Share Document