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I didn't tell, and I won't tell: dynamic response error in the SIPP (replicat...
Using state administrative records matched to the 1984 Survey of Income and Program Participation, we examine intertemporal relationships in response errors. False negative... -
ROUNDING, FOCAL POINT ANSWERS AND NONRESPONSE TO SUBJECTIVE PROBABILITY QUEST...
We develop a panel data model explaining answers to subjective probabilities about binary events and estimate it using data from the Health and Retirement Study on six such... -
CONSTRUCTING OPTIMAL DENSITY FORECASTS FROM POINT FORECAST COMBINATIONS (repl...
Decision makers often observe point forecasts of the same variable computed, for instance, by commercial banks, IMF and the World Bank, but the econometric models used by such... -
THE ROLE OF CONDITIONAL HETEROSKEDASTICITY IN IDENTIFYING AND ESTIMATING LINE...
A new estimator is proposed for linear triangular systems, where identification results from the model errors following a bivariate and diagonal GARCH(1,1) process with... -
CHILD MENTAL HEALTH AND EDUCATIONAL ATTAINMENT: MULTIPLE OBSERVERS AND THE ME...
We examine the effect of survey measurement error on the empirical relationship between child mental health and personal and family characteristics, and between child mental... -
Regression Discontinuity Applications with Rounding Errors in the Running Var...
Many empirical applications of regression discontinuity (RD) models use a running variable that is rounded and hence discrete, e.g.?age in years, or birth weight in ounces. This... -
Refining Stylized Facts from Factor Models of Inflation (replication data)
Factor models of disaggregate inflation indices suggest that sectoral shocks generate the bulk of sectoral inflation variance, but no persistence. Aggregate shocks, by contrast,... -
Estimation of Poverty Transition Matrices with Noisy Data (replication data)
This paper investigates measurement error biases in estimated poverty transition matrices. We compare transition matrices based on survey expenditure data to transition matrices... -
Loss functions for predicted click-through rates in auctions for online adver...
We characterize the optimal loss functions for predicted click-through rates in auctions for online advertising. Whereas standard loss functions such as mean squared error or...