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Where There Is a Will:Fertility Behavior and Sex Bias in Large Families
Fertility Behavior Sex Bias Large Families
2016/3/3
This paper demonstrates that the social institutions of lineage maintenance, patrilocality, and joint families have a significant role in explaining sex differences in survival and health outcomes in ...
Heterogeneous Income Profi les and Lifecycle Bias in Intergenerational Mobility Estimation
Lifecycle Bias Intergenerational Mobility Estimation
2016/3/2
Using short snapshots of income in intergenerational mobility estimation
causes “lifecycle bias” if the snapshots cannot mimic lifetime outcomes.
We use uniquely long series of Swedish income data...
Bias Correction for Fixed Effects Spatial Panel Data Models
Bootstrap Spatial Panel Individual Fixed Effects Time Fixed Effects
2016/1/26
This paper examines the finite sample properties of the quasi maximum likelihood (QML) esti-mators of the fixed effects spatial panel data (FE-SPD) models of Lee and Yu (2010). Following the general b...
Bias Correction for Fixed Effects Spatial Panel Data Models
Bootstrap Spatial Panel Individual Fixed Effects Time Fixed Effects
2016/1/20
This paper examines the finite sample properties of the quasi maximum likelihood (QML) esti-mators of the fixed effects spatial panel data (FE-SPD) models of Lee and Yu (2010). Following the general b...
Empirical Performance of Bias-reducing Estimators for Regenerative Steady-State Simulations
Bias-reducing estimators regeneration simulation
2015/7/6
When simulating a stochastic system, simulationists often are interested in estimating various steady-state performance measures. The classical point estimator for such a measure involves simply takin...
On the Theoretical Comparison of Low-Bias Steady-State Estimators
Low-bias estimators steady-state simulation mean-square error expansion
2015/7/6
The time-average estimator is typically biased in the context of steady-state simulation, and its bias is of order 1/t, where t represents simulated time. Several “low-bias” estimators have been devel...
When Performance Trumps Gender Bias: Joint versus Separate Evaluation
Prejudice and Bias Selection and Staffing Behavior Groups and Teams Decision Making Performance Evaluation Gender Characteristics
2015/4/27
We examine a new intervention to overcome gender biases in hiring, promotion, and job assignments: an "evaluation nudge," in which people are evaluated jointly rather than separately regarding their f...
No harm,No Foul:The Outcome Bias in Ethical Judgments
Judgments Ethics Outcome or Result Behavior Prejudice and Bias
2015/4/22
We present six studies demonstrating that outcome information biases ethical judgments of others' ethically-questionable behaviors. In particular, we show that the same behaviors produce more ethical ...
The Impact of Property Assessment Standards on Property Tax Burden: An Examination of Systematic Bias in a Market Value versus a Non-Market Value Assessment Standard
property tax assessment sales ratio local government
2014/11/26
Property tax is a tax on estimated values rather than on transactions—an important distinction from other taxes. Another distinction is that each state develops its own system for administering the pr...
Scales of Justice: Is there A Geographic Bias in Environmental Equity Analysis?
The lack of System Framework The size of the space Public policy
2014/11/26
Many empirical environmental justice (EJ) studies lack a systematic framework in which to undertake research and interpret results. This paper characterizes the conventional EJ study and examines how ...
Bias correction for estimators of the extremal index
absolute regularity clustering of extremes extremal index
2011/7/19
We investigate the joint asymptotic behavior of so-called blocks estimator of the extremal index, that determines the mean length of clusters of extremes, based on the exceedances over different thres...
Adjusting for selection bias in testing multiple families of hypotheses
false discovery rate family-wise error rate hierarchical testing
2011/7/6
In many large multiple testing problems the hypotheses are divided into families. Given the data, families with evidence for true discoveries are selected, and hypotheses within them are tested.
Uniform bias study and Bahadur representation for local polynomial estimators of the conditional quantile function
Bahadur representation Conditional quantile function Local polynomial estimation Econometrics of Auctions
2011/6/20
This paper investigates the bias and the weak Bahadur representation of a local
polynomial estimator of the conditional quantile function and its derivatives.
The bias and Bahadur remainder term are...
Iterative bias reduction multivariate smoothing in R: The ibr package
multivariate smoothing L2 boosting thin-plate splines kernel regression R
2011/6/20
In multivariate nonparametric analysis, sparseness of the co-
variates also called curse of dimensionality, forces one to use large smoothing
parameters. This leads to a biased smoother. Instead of ...
Recursive bias estimation for multivariate regression smoothers
nonparametric regression；smoother；kernel；thin-plate splines；stopping rules
2011/6/17
This paper presents a practical and simple fully nonparametric multivariate smooth-
ing procedure that adapts to the underlying smoothness of the true regression function. Our
estimator is easily co...