scholarly journals AES Impact Evaluation With Integrated Farm Data: Combining Statistical Matching and Propensity Score Matching

2018 ◽  
Vol 10 (11) ◽  
pp. 4320 ◽  
Author(s):  
Riccardo D’Alberto ◽  
Matteo Zavalloni ◽  
Meri Raggi ◽  
Davide Viaggi
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Data Availability ◽  
Experimental Conditions ◽  
Additional Information ◽  
Statistical Matching ◽  
Combined Use ◽  
Wide Range ◽  
Environmental Public Goods

A large share of the Common Agricultural Policy (CAP) is allocated to agri-environmental schemes (AESs), whose goal is to foster the provision of a wide range of environmental public goods. Despite this effort, little is known on the actual environmental and economic impact of the AESs, due to the non-experimental conditions of the assessment exercise and several data availability issues. The main objective of the paper is to explore the feasibility of combining the non-parametric statistical matching (SM) method and propensity score matching (PSM) counterfactual approach analysis and to test its usefulness and practicability on a case study represented by selected impacts of the AESs in Emilia-Romagna. The work hints at the potentialities of the combined use of SM and PSM as well as of the systematic collection of additional information to be included in EU-financed project surveys in order to enrich and complete data collected in the official statistics. The results show that the combination of the two methods enables us to enlarge and deepen the scope of counterfactual analysis applied to AESs. In a specific case study, AESs seem to reduce the amount of rent-in land and decrease the crop mix diversity.

Reappraising the Impact of Offending on Victimization: A Propensity Score Matching Approach

2017 ◽  
Vol 62 (8) ◽  
pp. 2374-2390
Author(s):  
Chad Posick
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Property Crime ◽  
Experimental Methods ◽  
Wide Range ◽  
Sample Data ◽  
Quasi Experimental ◽  
The Life Course ◽  
The Impact ◽  
The Relationship

Existing evidence clearly supports an empirical connection between offending and victimization. Often called the “victim–offender overlap,” this relationship holds for both sexes, across the life course, and across a wide range of countries and cultural environments. In addition, the relationship is sustained regardless of the study sample and statistical methods applied in the analyses of the sample data. However, there has yet to be a study that examines this relationship for violent and property crime using quasi-experimental methods accounting for a wide range of potential confounders including individual differences and cultural contexts. This study subjects the victim–offender relationship to testing through propensity score matching for both violent and property crimes using an international dataset. The results show that previous violent and theft offending increases the odds of victimization when matching on individual and contextual factors. This finding supports previous literature and suggests that delinquent behavior may act as a “switch” that exposes one to subsequent violent and theft victimization.

Pain after External and Endonasal Septorhinoplasty—A Propensity Score Matching Analysis

2020 ◽  
Vol 36 (03) ◽  
pp. 290-296
Author(s):  
Magdalena Gostian ◽  
Johannes Loeser ◽  
Ludwig Heindl ◽  
Antoniu Oreste Gostian
Keyword(s):  
Patient Satisfaction ◽  
Postoperative Pain ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Pain Treatment ◽  
Treatment Protocol ◽  
Opioid Medication ◽  
Aesthetic Result ◽  
Wide Range ◽  
Duration Of Surgery

AbstractGuidelines for pain management following septorhinoplasty are lacking, leading to a wide range of therapy regimes even including opioid medication. Thus, the presented study strived to investigate and compare postoperative pain intensities after external and endonasal septorhinoplasty and evaluate whether pain perception is potentially related to patient satisfaction with the aesthetic result. In addition, the effectiveness of an escalating pain treatment protocol was evaluated sparing the necessity of opioid medication. This retrospective study performed at a tertiary referral medical center includes two well-balanced groups of 54 patients each created by propensity score matching out of a total of 161 patients following external or endonasal functional septorhinoplasty performed by a single surgeon between October 1, 2011 and March 31, 2017. Pain intensity was assessed using the visual analogue scale (0–10) on the first three postoperative days (PODs) alongside with the evaluation of the analgesic score. Patients' self-reported outcome was measured with the Utrecht questionnaire, preoperatively, and 3 and 12 months, postoperatively. Postoperative mean pain sensations were similarly high following the external and endonasal approach (F (2;190) = 2.166, p = 0.118) followed by a linear decrease over the first three PODs (F (2;190) = 16.84, p < 0.001). Pain sensations were not related to the duration of surgery, gender, patients' age, revision surgery, and the preoperative and postoperative assessment of the nasal appearance. The consumption of metamizole (F (1,76;172,15) = 2.83, p = 0.065) and ibuprofen (F (2;196) = 1.037, p = 0.356) were similarly high regardless of the surgical approach. Accordingly, both the endonasal and the external approaches led to comparable postoperative pain intensities and analgesic scores. Pain was treated effectively using a standardized escalating pain treatment protocol sparing the administration of opioids. Pain was not related to patient satisfaction with the nasal appearance pre- and postsurgery.

scholarly journals A Two-Dimensional Spectrometer for Solar Observation and its recent modifications

1995 ◽  
Vol 149 ◽  
pp. 188-192
Author(s):  
Cornelia Bendlin
Keyword(s):  
Magnetic Field ◽  
Solar Magnetic Field ◽  
Narrow Band ◽  
Solar Observation ◽  
Two Dimensional ◽  
Vacuum Tower ◽  
Additional Information ◽  
Combined Use ◽  
Wide Range ◽  
Fabry Perot

AbstractThe instrument presented here is based on the combined use of a Universal Birefringent Filter (UBF) and a Fabry-Perot Interferometer (FPI) to obtain narrow-band filtergrams with a CCD. Scanning through a Fraunhofer line with a sufficient number of wavelength settings is accomplished within a few seconds by tuning only the FPI. The two-dimensional spectrometer in the German Vacuum Tower Telescope (VTT)/Tenerife was used to take observations of high spatial, spectral, and temporal resolution, yielding a wide range of results. Since recently, additional information on the solar magnetic field is obtained with it.

Do Big 4 Auditors Provide Higher Audit Quality after Controlling for the Endogenous Choice of Auditor?

2014 ◽  
Vol 33 (4) ◽  
pp. 197-219 ◽  
Author(s):  
John Daniel Eshleman ◽  
Peng Guo
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Audit Quality ◽  
Data Availability ◽  
Accounting Restatements ◽  
Big 4 ◽  
Audit Firms ◽  
Weak Evidence ◽  
Matching Procedure ◽  
Jel Classifications

SUMMARY: Recent research suggests that Big 4 auditors do not provide higher audit quality than other auditors, after controlling for the endogenous choice of auditor. We re-examine this issue using the incidence of accounting restatements as a measure of audit quality. Using a propensity-score matching procedure similar to that used by recent research to control for clients' endogenous choice of auditor, we find that clients of Big 4 audit firms are less likely to subsequently issue an accounting restatement than are clients of other auditors. In additional tests, we find weak evidence that clients of Big 4 auditors are less likely to issue accounting restatements than are clients of Mid-tier auditors (Grant Thornton and BDO Seidman). Taken together, the evidence suggests that Big 4 auditors do perform higher quality audits. JEL Classifications: M41, M42 Data Availability: All data are publicly available from sources identified in the text.

scholarly journals A Case Study About Why It Can Be Difficult To Test Whether Propensity Score Analysis Works in Field Experiments

2013 ◽  
Vol 3 (2) ◽  
pp. 1 ◽  
Author(s):  
William R. Shadish ◽  
Peter M. Steiner ◽  
Thomas D. Cook
Keyword(s):  
Experimental Data ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Field Experiments ◽  
Propensity Score Analysis ◽  
Randomized Experiment ◽  
Score Analysis ◽  
Quasi Experimental ◽  
Do So

Peikes, Moreno and Orzol (2008) sensibly caution researchers that propensity score analysis may not lead to valid causal inference in field applications. But at the same time, they made the far stronger claim to have performed an ideal test of whether propensity score matching in quasi-experimental data is capable of approximating the results of a randomized experiment in their dataset, and that this ideal test showed that such matching could not do so. In this article we show that their study does not support that conclusion because it failed to meet a number of basic criteria for an ideal test. By implication, many other purported tests of the effectiveness of propensity score analysis probably also fail to meet these criteria, and are therefore questionable contributions to the literature on the effects of propensity score analysis. DOI:10.2458/azu_jmmss_v3i2_shadish

Audit Quality and Specialist Tenure

2018 ◽  
Vol 94 (3) ◽  
pp. 113-147 ◽  
Author(s):  
Jennifer J. Gaver ◽  
Steven Utke
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Audit Quality ◽  
Discretionary Accruals ◽  
Data Availability ◽  
Client Characteristics ◽  
Industry Specialization ◽  
Auditor Industry Specialization ◽  
Big 4 ◽  
Jel Classifications

ABSTRACT We argue that the association between auditor industry specialization and audit quality depends on how long the auditor has been a specialist. We measure audit quality using absolute discretionary accruals, income-increasing discretionary accruals, and book-tax differences. Our results, based on a sample of Big 4 audit clients from 2003–2015, indicate that auditors who have only recently gained the specialist designation produce a level of audit quality that does not surpass that produced by non-specialist auditors, and is generally lower than the audit quality produced by seasoned specialists. We estimate that the seasoning process takes two to three years. In contrast to prior research that finds no effect of specialization after propensity score matching, we find that seasoned specialists generally produce higher-quality audits than other auditors even after matching. This suggests that the audit quality effect associated with seasoned industry specialist auditors is not due to differences in client characteristics. JEL Classifications: M42. Data Availability: Data used in this study are available from public sources identified in the text.

Value of Propensity Score Matching for Equalizing Comparator Groups in Observational Database Studies: A Case Study in Anti-infectives

2016 ◽  
Vol 38 (12) ◽  
pp. 2676-2681 ◽  
Author(s):  
C. Daniel Mullins ◽  
Frank R. Ernst ◽  
Michelle R. Krukas ◽  
Joseph Solomkin ◽  
Christian Eckmann ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Observational Database

Propensity Score Matching in Accounting Research

2016 ◽  
Vol 92 (1) ◽  
pp. 213-244 ◽  
Author(s):  
Jonathan E. Shipman ◽  
Quinn T. Swanquist ◽  
Robert L. Whited
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Multiple Regression ◽  
Effect Size ◽  
Data Availability ◽  
Future Research ◽  
Accounting Research ◽  
Sample Composition ◽  
Average Treatment Effects ◽  
Important Design

ABSTRACT Propensity score matching (PSM) has become a popular technique for estimating average treatment effects (ATEs) in accounting research. In this study, we discuss the usefulness and limitations of PSM relative to more traditional multiple regression (MR) analysis. We discuss several PSM design choices and review the use of PSM in 86 articles in leading accounting journals from 2008–2014. We document a significant increase in the use of PSM from zero studies in 2008 to 26 studies in 2014. However, studies often oversell the capabilities of PSM, fail to disclose important design choices, and/or implement PSM in a theoretically inconsistent manner. We then empirically illustrate complications associated with PSM in three accounting research settings. We first demonstrate that when the treatment is not binary, PSM tends to confine analyses to a subsample of observations where the effect size is likely to be smallest. We also show that seemingly innocuous design choices greatly influence sample composition and estimates of the ATE. We conclude with suggestions for future research considering the use of matching methods. Data Availability: All data used are available from sources cited in the text.

scholarly journals Perbandingan Analisis Regresi Logistik dengan Analisis Propensity Score Matching pada Studi Kasus Imunisasi Bayi

2008 ◽  
Vol 2 (6) ◽  
pp. 282
Author(s):  
Waras Budi Utomo
Keyword(s):  
Logistic Regression ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Secondary Data ◽  
Propensity Score Matching Analysis ◽  
Factor Effect ◽  
Multivariable Analyses ◽  
Ideal Method ◽  
The Ideal

Analisis multivariat konvensioanal tidak selalu merupakan metode ideal untuk memprediksi efek pajanan pada studi-studi observasional. Ketika distribusi kovariat antara kelompok pajanan berbeda besar, penyesuaan dengan teknik multivariat konvensioanl tidak cukup menyeimbangkan kelompok tersebut. Bias yang tersisa dapat menghambat penarikan kesimpulan yang valid. Tujuan penelitian ini adalah membandingkan hasil analisis multivariat konvensional dengananalisis metoda propensity score matching pada studi kasus data sekunder imunisasi bayi ASUH KAP2 2003. Penelitian ini menemukan nilai OR metoda regresi logistik (0,99) berbeda dengan metoda propensity score matching (0,96). Metoda propensity score matching berhasil menjodohkan 574 subjek(68,27%). Untuk evaluasi pengaruh faktor risiko disarankan menggunakan model PSM karena mengurangi bias seleksi, tetapi untuk analisis faktor determinan yang banyak variabel independent, gunakan matching kerena variabel tersebut mempunyai posisi yang sama.Kata kunci : Regresi logistik, propensity score matching.AbstractConventional multivariable analyses may not always be the ideal method for estimating exposure effects in observational studies. Where there are large differences in the distribution of covariates between expose groups, adjusting with conventional multivariable techniques may not adequately balance the groups, and the remaining bias may limit valid causal inference. The objective of this research is to compare the result of convensional multiariate analysis versus propensity score matching analysis in case study of infant immunization using secondary data of ASUH KAP2 2003. Model will be compared without interaction variable. The results show that the OR from logistic regression (0,99) differs to propensity score matching (0,96). Propensity score matching is successfulin matching 574 subjects (68,27%). It is recommended to evaluate risk factor effect using PSM model, but to use logistic regression analysis for determinat factor analysis with many independent variables because the variables have the same position.Keywords: Logistic regression, propensity score matching.

Sign in / Sign up

Export Citation Format

Share Document