scholarly journals Estimating Fixed Effects: Perfect Prediction and Bias in Binary Response Panel Models, with an Application to the Hospital Readmissions Reduction Program

2017 ◽  
Author(s):  
Johannes S Kunz ◽  
Kevin E. Staub ◽  
Rainer Winkelmann
Author(s):  
Kerui Du ◽  
Yonghui Zhang ◽  
Qiankun Zhou

In this article, we describe the implementation of fitting partially linear functional-coefficient panel models with fixed effects proposed by An, Hsiao, and Li [2016, Semiparametric estimation of partially linear varying coefficient panel data models in Essays in Honor of Aman Ullah ( Advances in Econometrics, Volume 36)] and Zhang and Zhou (Forthcoming, Econometric Reviews). Three new commands xtplfc, ivxtplfc, and xtdplfc are introduced and illustrated through Monte Carlo simulations to exemplify the effectiveness of these estimators.


Author(s):  
Azka Latif ◽  
Noman Lateef ◽  
Scott Lundgren ◽  
Vikas Kapoor ◽  
Muhammad Junaid Ahsan ◽  
...  

Author(s):  
Lila M Martin ◽  
Ryan W Thompson ◽  
Timothy G Ferris ◽  
Jagmeet P Singh ◽  
Elizabeth Laikhter ◽  
...  

Introduction: Medicare’s Hospital Readmissions Reduction Program assesses financial penalties for hospitals based on risk-standardized readmission rates after specific episodes of care, including acute myocardial infarction (AMI). Whether the algorithm accurately identifies patients with AMI who have preventable readmission is unknown. Methods: Using administrative data from Medicare, we conducted physician-adjudicated chart reviews of all patients considered 30 day readmissions after AMI attributed to one hospital from July 2012-June 2015. We extracted information about revascularization during index hospitalization. For patients readmitted to the index hospital or an affiliate, we also extracted reason for readmission. Results: Of 199 admissions, 66 (33.2%) received PCI and 19 (9.6%) underwent CABG on index hospitalization. The remainder of patients did not receive any intervention, i.e. 39 patients (19.6%) were declined due to procedural risk, 15 (7.5%) because of goals of care and 14 (7.0%) refused revascularization. Forty-six patients (23.1%) had troponin elevation in the absence of an MI and did not have an indication for revascularization. The most common diagnoses of the 161 (80.9%) patients readmitted to the index hospital or an affiliate were infections and cardiac and non-cardiac chest discomfort (Table 1). Conclusions: Our results demonstrate that many AMI patients who count towards the Medicare penalty do not receive revascularization during the index hospitalization because of high procedural risk or patient preference. Focusing on these patients may improve readmission metric performance. Furthermore, adding administrative codes for prohibitive procedural risk may improve accuracy of the metric as a measure of quality.


2018 ◽  
Vol 77 (4) ◽  
pp. 334-344 ◽  
Author(s):  
Olga Yakusheva ◽  
Geoffrey J. Hoffman

This study aimed (1) to estimate the impact of an incremental reduction in excess readmissions on a hospital’s Medicare reimbursement revenue, for hospitals subject to penalties under the Medicare’s Hospital Readmissions Reduction Program and (2) to evaluate the economic case for an investment in a readmission reduction program. For 2,465 hospitals with excess readmissions in the Fiscal Year 2016 Hospital Compare data set, we (1) used the Hospital Readmissions Reduction Program statute to estimate hospital-specific Medicare reimbursement gains per an avoided readmission and (2) carried out a pro forma analysis of investment in a broad-scale readmission reduction program under conservative assumptions regarding program effectiveness and using program costs from earlier studies. For an average hospital, avoiding one excess readmission would result in reimbursement gains of $10,000 to $58,000 for Medicare discharges. The economic case for investments in a readmission reduction effort was strong overall, with the possible exception of hospitals with low excess readmissions.


2021 ◽  
Vol 10 (2) ◽  
pp. 39-56
Author(s):  
Vesna Karadžić ◽  
Nikola Đalović

Abstract The subject of research in this paper is the profitability of the biggest banks in the European financial market, some of which operate in Montenegro. The profitability of banks is influenced by a large number of factors, including internal banking and external macroeconomic factors. The aim of this paper is to use statistical and econometric methods to examine which factors and with what intensity affect the profitability of large banks in Europe. The empirical analysis used highly balanced panel models with annual data on 47 large banks from 14 European countries over the period 2013-2018. Three static panel models were estimated and evaluated (pooled ordinary least squares, model with fixed effects and model with random effects), as well as dynamic model utilizing general methods of moments. The POLS model was chosen as the best, confirming that all macroeconomic factors have a statistically significant impact on the profitability of big banks, while the impact of internal factors, which are controlled by the bank’s management, is not significant. GDP growth rate, inflation rate and market concentration have a positive effect on profitability, while the membership of the European Union has a negative impact on profit, meaning that banks with headquarters outside the EU are more profitable.


2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Brent Walker

Readmission penalties on hospitals hit a new high in 2016, increasing by a fifth over 2015 numbers to $528 million. Yet, according to data from the Centers for Medicare & Medicaid Services (CMS), the 30-day readmission rate is on the decline. Since the Hospital Readmission Reduction Program (HRRP) began in 2010, preventable readmissions have dropped by 8% nationally.1 So why will hospitals lose out on more than half a billion dollars in CMS reimbursements next year? Changes in how the rehospitalization rate is calculated influenced the jump in penalties. But that is not the only factor influencing 30-day readmissions. Patient engagement efforts often fall short, too.


2015 ◽  
Vol 261 (6) ◽  
pp. 1027-1031 ◽  
Author(s):  
Terry Shih ◽  
Andrew M. Ryan ◽  
Andrew A. Gonzalez ◽  
Justin B. Dimick

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