Search results for "Point estimation"

showing 10 items of 14 documents

Stature and long-term labor market outcomes: Evidence using Mendelian randomization.

2017

We use the Young Finns Study (N = ∼2000) on the measured height linked to register-based long-term labor market outcomes. The data contain six age cohorts (ages 3, 6, 9, 12, 15 and 18, in 1980) with the average age of 31.7, in 2001, and with the female share of 54.7. We find that taller people earn higher earnings according to the ordinary least squares (OLS) estimation. The OLS models show that 10 cm of extra height is associated with 13% higher earnings. We use Mendelian randomization, with the genetic score as an instrumental variable (IV) for height to account for potential confounders that are related to socioeconomic background, early life conditions and parental investments, which ar…

0301 basic medicineAdultEmploymentMaleSocial ValuesEconomics Econometrics and Finance (miscellaneous)03 medical and health sciencesYoung Adult0302 clinical medicinestatureMendelian randomizationCovariateEconometricsEconomicsHumans030212 general & internal medicinePoint estimationPersonnel Selectionta512FinlandEstimationta511EarningsSalaries and Fringe BenefitsInstrumental variableConfoundingtyöllisyysheight premiumta3142Mendelian Randomization AnalysisBody Height030104 developmental biologykorkeus8. Economic growthOrdinary least squaresearningsDemographyheightEconomics and human biology
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Random resampling numerical simulations applied to a SEIR compartmental model

2021

AbstractIn this paper, we apply resampling techniques to a modified compartmental SEIR model which takes into account the existence of undetected infected people in an epidemic. In particular, we implement numerical simulations for the evolution of the first wave of the COVID-19 pandemic in Spain in 2020. We show, by using suitable measures of goodness, that the point estimates obtained by the bootstrap samples improve the ones of the original data. For example, the relative error of detected currently infected people is equal to 0.061 for the initial estimates, while it is reduced to 0.0538 for the mean over all bootstrap estimated series.

2019-20 coronavirus outbreakSeries (mathematics)Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)General Physics and AstronomyRegular ArticleSalut públicaOriginal dataApproximation errorResamplingApplied mathematicsPoint estimationEconomia de la salutMathematics
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Inference for the interclass correlation in familial data using small sample asymptotics

2012

Inference on the parent-offspring correlation coefficient is an important problem in the analysis of familial data, and point estimates and likelihood based inference are available in the literature. In this work, corrections for the signed log-likelihood ratio test statistics are proposed, based on small sample asymptotics, in order to achieve accurate small sample performance. The corrected statistic can be used for hypothesis testing as well as for interval estimation.

Correlation coefficientInterclass correlationInterval estimationStatisticsFiducial inferenceInferencePoint estimationStatisticMathematicsStatistical hypothesis testingAIP Conference Proceedings
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Exploring the uncertainty in capacity estimation at roundabouts

2017

Abstract Purpose In gap-acceptance theory the critical and the follow-up headways have a significant role in determining roundabout entry capacities which in turn depend on circulating flow rates under a specified arrival headway distribution. Calculation considers single mean values of the gap-acceptance parameters, neglecting the inherent variations in these random variables and providing a single value of entry capacity. The purpose of this paper is to derive the entry capacity distribution which accounts for the variations of the contributing (random) variables and suggest how to consider this issue in the operational analysis of the roundabouts. Methods We performed a Monte Carlo simul…

EngineeringRoundaboutMonte Carlo methodTransportationProbability density function010501 environmental sciences01 natural sciencesGap-acceptance parameter0502 economics and businessHeadwayStatisticsOperationsSettore ICAR/04 - Strade Ferrovie Ed AeroportiPoint estimationSimulation0105 earth and related environmental sciences050210 logistics & transportationbusiness.industryMechanical Engineering05 social sciencesEntry capacityUncertaintylcsh:TA1001-1280lcsh:HE1-9990Distribution (mathematics)Roundabout entry capacity gap-acceptance parameter operations uncertaintyAutomotive EngineeringRoundaboutProbability distributionlcsh:Transportation engineeringlcsh:Transportation and communicationsbusinessRandom variableEuropean Transport Research Review
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Determination of relaxation and retardation spectrum by inverse functional filtering

2010

Abstract The article is devoted for the determination of the relaxation and retardation spectrum (RRS) from monotonic time- and frequency-domain material functions by the inverse functional filters executing discrete convolution algorithms for geometrically spaced data. It is shown that the problem of RRS determination from a wide variety of material functions leads to the three inverse filtering tasks on a logarithmic time or frequency scale with the three specific frequency responses concerning: (i) the time-domain functions, (ii) the real parts and (iii) the imaginary parts of the frequency-domain functions, and three algorithms (having the versions with even and odd number of coefficien…

Frequency responseLogarithmApplied MathematicsMechanical EngineeringGeneral Chemical EngineeringInverse filterInverseMonotonic functionInverse problemCondensed Matter PhysicsIntegral transformGeneral Materials SciencePoint estimationAlgorithmMathematicsJournal of Non-Newtonian Fluid Mechanics
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Objective Bayesian point and region estimation in location-scale models.

2007

Point and region estimation may both be described as specific decision problems. In point estimation, the action space is the set of possible values of the quantity on interest; in region estimation, the action space is the set of its possible credible regions. Foundations dictate that the solution to these decision problems must depend on both the utility function and the prior distribution. Estimators intended for general use should surely be invariant under one-to-one transformations, and this requires the use of an invariant loss function; moreover, an objective solution requires the use of a prior which does not introduce subjective elements. The combined use of an invariant informatio…

Intrinsic LossTeoria de la decisióRegion Estimation:62 Statistics::62B Sufficiency and information [Classificació AMS]Intrinsic DiscrepancyStatisticsEstadísticaReference Analysis:MATEMÁTICAS::Estadística [UNESCO]UNESCO::MATEMÁTICAS::EstadísticaCredible RegionsConfidence Intervals ; Credible Regions ; Decision Theory ; Intrinsic Discrepancy ; Intrinsic Loss ; Location-Scale Models ; Noninformative Prior ; Reference Analysis ; Region Estimation ; Point EstimationPoint EstimationDecision TheoryInferenceInferència:62 Statistics::62F Parametric inference [Classificació AMS]Confidence IntervalsLocation-Scale ModelsNoninformative Prior:62 Statistics::62C Decision theory [Classificació AMS]
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Global, regional, and country-specific lifetime risks of stroke, 1990 and 2016

2018

Background: The lifetime risk of stroke has been calculated in a limited number of selected populations. We sought to estimate the lifetime risk of stroke at the regional, country, and global level using data from a comprehensive study of the prevalence of major diseases.Methods: We used the Global Burden of Disease (GBD) Study 2016 estimates of stroke incidence and the competing risks of death from any cause other than stroke to calculate the cumulative lifetime risks of first stroke, ischemic stroke, or hemorrhagic stroke among adults 25 years of age or older. Estimates of the lifetime risks in the years 1990 and 2016 were compared. Countries were categorized into quintiles of the sociode…

MalePercentileNutrition and DiseaseDisease030204 cardiovascular system & hematologyGlobal HealthSocioeconomic FactorGlobal Burden of Disease0302 clinical medicinepreventionVoeding en ZiekteCause of DeathGlobal healthStrokePOPULATIONCause of deathAged 80 and overeducation.field_of_studyIncidence (epidemiology)IncidenceMedicine (all)11 Medical And Health SciencesGeneral MedicineMiddle Agedlifetime riskstroke3142 Public health care science environmental and occupational health3. Good healthStrokeGBD 2016 Lifetime Risk of Stroke CollaboratorsFemaleBURDENLife Sciences & BiomedicineResearch ArticleHumanAdultRiskPopulationGlobal Burden of Disease (GBD)03 medical and health sciencesMedicine General & InternalAge DistributionGeneral & Internal MedicinemedicineHumansLife SciencePoint estimationcardiovascular diseasesSex DistributioneducationVLAGAgedScience & TechnologyHYPERTENSIONbusiness.industrymedicine.diseaseSocioeconomic Factorsbusiness030217 neurology & neurosurgeryRCDemography
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Coordination of Wage Bargaining, Exchange Rate Stability and External Adjustment

2016

The literature on the determinants of the rate of current account reversion has been limited to examining the role of exchange rate regimes. We propose that the degree of coordination of wage bargaining affects the speed of current account adjustment. Our point estimates are economically and statistically significant, suggesting that fragmented firm-level wage bargaining facilitates external adjustment. We also find a strong negative interaction between the effects of coordination of wage bargaining and exchange rate stability on the rate of current account reversion.

MicroeconomicsExchange rateEconomicsCurrent accountPoint estimationMonetary economicsStability (probability)health care economics and organizationsDegree (temperature)Wage bargainingSSRN Electronic Journal
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Estimators and confidence intervals of f2 using bootstrap methodology for the comparison of dissolution profiles

2021

Abstract Background and objectives: The most widely used method to compare dissolution profiles is the similarity factor f 2 . When this method is not applicable, the confidence interval of f 2 using bootstrap methodology has been recommended instead. As neither details of the estimator nor the types of confidence intervals are described in the guidelines, the suitability of five estimators and fourteen types of confidence intervals were investigated in this study by simulation. Methods: One million individual dissolution profiles were simulated for the reference and test populations with predefined target population f 2 values, where random samples of different sizes were drawn without rep…

PercentileSimilarity (network science)Sample size determinationStatisticsStatistical inferenceEstimatorHealth InformaticsPoint estimationExpected valueSoftwareConfidence intervalComputer Science ApplicationsMathematicsComputer Methods and Programs in Biomedicine
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Olley–Pakes productivity decomposition: computation and inference

2016

Summary We show how a moment-based estimation procedure can be used to compute point estimates and standard errors for the two components of the widely used Olley–Pakes decomposition of aggregate (weighted average) productivity. When applied to business level microdata, the procedure allows for autocovariance and heteroscedasticity robust inference and hypothesis testing about, for example, the coevolution of the productivity components in different groups of firms. We provide an application to Finnish firm level data and find that formal statistical inference casts doubt on the conclusions that one might draw on the basis of a visual inspection of the components of the decomposition.

Statistics and ProbabilityEconomics and EconometricsHeteroscedasticityproductivitytuottavuusInferenceFrequentist inference0502 economics and businessStatisticsStatistical inferenceEconometricsPoint estimation050207 economics050205 econometrics MathematicsStatistical hypothesis testingpäättelyta112inferenceta51105 social sciencesgeneralized method of momentsAutocovarianceweighted averageFiducial inferenceStatistics Probability and UncertaintySocial Sciences (miscellaneous)Journal of the Royal Statistical Society Series A: Statistics in Society
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