matching estimator
Adjustment for Population Stratification in Sequencing Association Studies and Model Averaged Matching Estimator
... averaged matching estimator, takes into account the uncertainty in confounder selection by adopting the BMA groundwork laid by BAC, but introduces a crucial modification which separates treatment effect ...
104
A Methodology to Compute Regional Housing Index Price using Matching Estimator Methods
... In spite of great strides made in this area, the spatial aspect still requires more consideration in constructing a regional house price index. Costello and Watkins (2002) highlighted the importance of local house price ...
29
The Eff ects of Cross-border M&As on the Acquirers’ Domestic Performance – Firm-level Evidence
... alternative matching algo- ...caliper matching imposing a maximum distance of ...alternative matching algorithms that use a larger number of matches for each acquiring firm are applied to reduce the ...
39
Farm level impact of rural development policy: a conditional difference in difference matching approach
... Kernel Matching and Nearest Neighbor ...non-parametric matching estimator that uses weighted averages of all farms in the control group to generate the counterfactual ...Kernel matching can be ...
16
The performance of socially responsible mutual funds: the role of fees and management companies.
... when matching is done on several control variables, since exact or nearly exact matches for all variables and observations are rare even in large data sets (Zhao, ...bias-adjusted matching estimator ...
39
Bank Liquidity Supply and Corporate Investment during the 2008–2009 Financial Crisis
... baseline matching, I use the information right before the Lehman bankruptcy (September 15, 2008) to classify firms into treated and non-treated ...Abadie-Imbens matching estimator to look for control ...
62
The Echo of Job Displacement
... In the next section we examine the reasons why displaced workers could be expected to have a relatively high probability of again experiencing job loss. In contrast to much of the scarring literature we focus on the ...
37
On the Failure of the Bootstrap for Matching Estimators
... are estimated for each replication using 100 bootstrap samples, and then averaged over all replications. Again it is interesting to compare the average of the estimated bootstrap variance in the fifth row to the limit of ...
39
Matching Estimators with Few Treated and Many Control Observations
... of matching estimators when the number of con- trol observations is large, but the number of treated observations is ...neighbor matching estimator is asymptotically unbiased for the ATT under stan- ...
46
Generalized Score Matching for Non-Negative Data
... h-score matching estimator for truncated non-centered GGMs to RNAseq data also studied in Lin et ...profiled estimator, and choose the regularization parameter λ so that the estimated graph has ...
70
Use of the concordance index for predictors of censored survival data.
... The concordance index is routinely used to measure how well a variable predicts the time to a censored event. However, current estimators depend on the extent of follow up and many predictors using survival data lose ...
16
Estimating a Bounded Normal Mean Under the LINEX Loss Function
... usual estimator of θ, ...likelihood estimator is inadmissible. Then, as a competitor, the Bayes estimator associated with a uniform prior on the interval [−m,m] is ...appropriate estimator is ...
8
On estimating quantiles using auxiliary information
... proposed estimator can be easily implemented using the regression ...proposed estimator is consistent and asymptotically ...posed estimator is its simplicity. Despite the fact the proposed ...
25
Empirical likelihood based inference in Poisson autoregressive model with conditional moment restrictions
... The EL as an alternative to the bootstrap for constructing confidence regions was intro- duced by Owen [, ]. The method defines an EL ratio function to construct confidence regions. Important features of the empirical ...
13
Bayesian Methods for Improving Credit Scoring Models
... Then, K = 100 new default vectors are generated randomly within the small sample of size S. This results in 100 new ’samples’ and represents an out-of-time setting, in which the performance of the straight logit, ...
26
On comparison some estimators in small area study
... Stein estimator over direct estimator, we also include some more competitor ...synthetic estimator using the previous year’s batting average, two composite estimators that we mentioned, the Bayes ...
6
Performance of Existing Biased Estimators and the Respective Predictors in a Misspecified Linear Regression Model
... (Ridge Estimator (RE), Almost Unbiased Ridge Estimator (AURE), Liu Estimator (LE), Almost Unbiased Liu Estimator (AULE), Principal Component Regression Estimator (PCRE), r-k class ...
25
"On Finite Sample Distributions of the Empirical Likelihood Estimator and the GMM Estimator"
... GMM estimator and the MEL estimator have approximately the same distribution, but their exact distributions can be quite different for the sample sizes occurring in ...MEL estimator and the GMM ...
31
International Journal of Data Envelopment Analysis and *Operations Research*
... Likelihood estimator, Moments estimator, Percentile estimator, least square estimator and weighted least square ...Percentile estimator is ...
9
ESTIMATORS OF LINEAR REGRESSION MODEL WITH AUTOCORRELATED ERRROR TERMS AND PREDICTION USING CORRELATED UNIFORM REGRESSORS
... OLS estimator is still unbiased as long as multicollinearity is not perfect, the regression coefficients may have large sampling errors which affect both the inference and forecasting that is based on the model ...
10