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How much should we trust differencesindifferences estimates? Quarterly Journal of Economics 119:249–75
, 2004
"... Most papers that employ DifferencesinDifferences estimation (DD) use many years of data and focus on serially correlated outcomes but ignore that the resulting standard errors are inconsistent. To illustrate the severity of this issue, we randomly generate placebo laws in statelevel data on fema ..."
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Cited by 775 (1 self)
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Most papers that employ DifferencesinDifferences estimation (DD) use many years of data and focus on serially correlated outcomes but ignore that the resulting standard errors are inconsistent. To illustrate the severity of this issue, we randomly generate placebo laws in statelevel data
MCAS Standard Errors
, 2003
"... This document available online at: http://www.es.umb.edu/edg/MCAS/mcaserrors.pdf TABLE OF CONTENTS ListofFigures ................................................................................... 1 ListofTables .................................................................................... ..."
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..................................................................................... 18 List of Figures Figure 1. An example of the parental interpretive material sent with scores from the Spring 2001 10 http://www.doe.mass.edu/mcas/2001/pgreport/g10elam.jpg The error bars plotted for each MCAS score are described in the parent guide sent home with the exam (http
Standard Error for a
"... SEER*Stat software was used to calculate rates. The following are the rate algorithms. ..."
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SEER*Stat software was used to calculate rates. The following are the rate algorithms.
Good ErrorCorrecting Codes based on Very Sparse Matrices
, 1999
"... We study two families of errorcorrecting codes defined in terms of very sparse matrices. "MN" (MacKayNeal) codes are recently invented, and "Gallager codes" were first investigated in 1962, but appear to have been largely forgotten, in spite of their excellent properties. The ..."
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Cited by 741 (23 self)
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We study two families of errorcorrecting codes defined in terms of very sparse matrices. "MN" (MacKayNeal) codes are recently invented, and "Gallager codes" were first investigated in 1962, but appear to have been largely forgotten, in spite of their excellent properties
Standard Errors of Statistics Students
"... Students in introductory statistics courses often commit similar errors in computation and interpretation. A handout that lists such common errors is described. Students appreciated the handout, thought it reduced errors, and recommended it for future classes. For psychology students, introductory ..."
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Students in introductory statistics courses often commit similar errors in computation and interpretation. A handout that lists such common errors is described. Students appreciated the handout, thought it reduced errors, and recommended it for future classes. For psychology students, introductory
*Standard Error of Measurement, *Statistical
"... Fivehundred dichotomously scored response patterns were generated with sequentially independent (SI) item3 and 500 with dependent (SD) items for each of thirtysix combinations of sampling parameters (i.e., three test lengths, three sample sizes, and four item ditticulty distributions). KR20, KR2 ..."
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Fivehundred dichotomously scored response patterns were generated with sequentially independent (SI) item3 and 500 with dependent (SD) items for each of thirtysix combinations of sampling parameters (i.e., three test lengths, three sample sizes, and four item ditticulty distributions). KR20, KR21, and SplitHalf (SH) reliabilities were computed for these 36,000 response Natrices and cumulative distribution functions, each based on 5n0 trials, compilea. Comparison of the sampling distributions suggests tliat there is more similarity between the SI and SD cumulative distribution functions for KR21 than KR20, and either of these have more similarity than SH. For Kt;20, KR21, and SH, the similarity of sampling distributions under SI and SD varies directly with test length: the longer the test, the more similar the distributions. On the other hand, similarity varies inversely with sample size: the larger the sample, the more dissimilar tFe distributions. For both SI
Standard Error of Empirical Bayes Estimate in NONMEM Ⓡ VI
, 2011
"... PK/PD, pharmacokinetic/pharmacodynamic; SE, standard error; ..."
Bootstrapping the Standard Error of the Mediated Effect
"... Mediation analysis seeks to go beyond the question of equations, using the notation from MacKinnon, Warsi, whether an independent variable causes a change in a and Dwyer (1995). dependent variable. Mediation addresses the question of how that change occurs. When a third variable is thought to be int ..."
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Cited by 14 (1 self)
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to be intermediate in the relationship between two variables, it is called a mediator. In order to test the mediated effect for significance, or to create confidence limits for the effect, the standard error of the effect is needed. Estimates of the standard error can fluctuate widely when sample size is small
Finite Population Causal Standard Errors∗
, 2014
"... When a researcher estimates the parameters of a regression function using information on all 50 states in the United States, or information on all visits to a website, what is the interpretation of the standard errors? Researchers typically report standard errors that are designed to capture samplin ..."
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When a researcher estimates the parameters of a regression function using information on all 50 states in the United States, or information on all visits to a website, what is the interpretation of the standard errors? Researchers typically report standard errors that are designed to capture
Results 11  20
of
2,116,711