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Estimating the Impacts of Program Benefits : Using Instrumental Variables with Underreported and Imputed Data

Stephens, Melvin - 2015

Survey non-response has risen in recent years which has increased the share of imputed and underreported values found on commonly used datasets. While this trend has been well-documented for earnings, the growth in non-response to government transfers questions has received far less attention....

Persistent link: https://www.econbiz.de/10013021468

Improving GDP Measurement : A Measurement-Error Perspective

Aruoba, S. Borağan - 2013

We provide a new and superior measure of U.S. GDP, obtained by applying optimal signal-extraction techniques to the (noisy) expenditure-side and income-side estimates. Its properties - particularly as regards serial correlation - differ markedly from those of the standard expenditure-side...

Persistent link: https://www.econbiz.de/10013083397

The Analytics of Investment, Q, and Cash Flow

Abel, Andrew B. - 2015

In this paper I analyze the relationships among investment, q, and cash flow in a tractable stochastic model in which marginal q and average q are identically equal. After analyzing the impact of changes in the distribution of the marginal operating profit of capital, I extend the model to...

Persistent link: https://www.econbiz.de/10013015553

Motivated Errors

Exley, Christine L - 2019

In three sets of experiments involving over 4,200 subjects, we show that agents motivated to be selfish make systematic decision errors of the kind generally attributed to cognitive limitations or behavioral biases. We show that these decision errors are eliminated (or dramatically reduced) when...

Persistent link: https://www.econbiz.de/10012857671

Assessing Point Forecast Accuracy by Stochastic Error Distance

Diebold, Francis X. - 2016

We propose point forecast accuracy measures based directly on distance of the forecast-error c.d.f. from the unit step function at 0 ("stochastic error distance," or SED). We provide a precise characterization of the relationship between SED and standard predictive loss functions, and we show...

Persistent link: https://www.econbiz.de/10012984778

Iatrogenic Specification Error : A Cautionary Tale of Cleaning Data

Bollinger, Christopher R.; Chandra, Amitabh - 2021

specified range. This paper considers identification in a linear model when the dependent variable is mismeasured. The results … dependent variable …

Persistent link: https://www.econbiz.de/10013232932

Estimating Returns to Schooling When Schooling is Misreported

Kane, Thomas J.; Rouse, Cecilia E.; Staiger, Douglas - 2021

We propose a general method of moments technique to identify measurement error in self-reported and transcript-reported schooling using differences in wages, test scores, and other covariates to discern the relative verity of each measure. We also explore the implications of such reporting...

Persistent link: https://www.econbiz.de/10013234051

Bias from Classical and Other Forms of Measurement Error

Hyslop, Dean; Imbens, Guido W. - 2021

ignorance they may interpret the question what is the value of this variable?' as what is your best estimate of this variable …?', and provide optimal predictions of the variable of interest given their information set. In contrast to the classical …, correlated with the true value of the variable. In the context of the linear regression framework, we show that measurement error …

Persistent link: https://www.econbiz.de/10013239982

Seasonal Adjustment with Measurement Error Present

Hausman, Jerry A.; Watson, Mark W. - 2021

Seasonal adjustment procedures attempt to estimate the sample realizations of an unobservable economic time series in the presence of both seasonal factors and irregular factors. In this paper we consider a factor which has not been considered explicitly in previous treatments of seasonal...

Persistent link: https://www.econbiz.de/10013248433

Measurement Errors in Investment Equations

Almeida, Heitor - 2010

We use Monte Carlo simulations and real data to assess the performance of alternative methods that deal with measurement error in investment equations. Our experiments show that individual-fixed effects, error heteroscedasticity, and data skewness severely affect the performance and reliability...

Persistent link: https://www.econbiz.de/10013144160

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