Imputation in U.S. Manufacturing Data and Its Implications for ...

In the U.S. Census Bureau's 2002 and 2007 Censuses of Manufactures 79% and 73% of observations respectively have imputed data for at least one variable used to ...

We find that TFP dispersion increases as we move from Census mean-imputed data to nonimputed data to the CART-imputed data.

Imputation in U.S. Manufacturing Data and Implications for Within ...

The Census Bureau imputes for missing or faulty data using a variety of methods, some of which include use of ad ministrative records data or lagged values from ...

Imputation in U.S. Manufacturing Data and Its Implications for ...

Imputation in U.S. Manufacturing Data and Its Implications for Productivity Dispersion · T. Kirk White · Jerome P. Reiter · Amil Petrin. Share.

IMPUTATION IN U.S. MANUFACTURING DATA AND ITS ... - jstor

For five variables entering TFP, we show that dispersion is significantly smaller in the Census mean-imputed versus the nonimputed data. We use classifi- cation ...

Imputation in U.S. Manufacturing Data and Its Implications for ...

The bureau primarily imputes for missing values using mean-imputation methods, which can reduce the underlying variance of the imputed variables. For five ...

Imputation in U.S. manufacturing data ... - Scholars@Duke publication

In the U.S. Census Bureau's 2002 and 2007 Censuses of Manufactures, 79% and 73% of observations, respectively, have imputed data for at least one variable ...

Imputation in U.S. manufacturing data and its implications for ...

The bureau primarily imputes for missing values using mean-imputation methods, which can reduce the underlying variance of the imputed variables ...

[PDF] Imputation in U.S. Manufacturing Data and Implications for ...

In the U.S. Census Bureau's 2002 and 2007 manufacturing data, respectively, 79% and 73% of observations have imputed data for at least one variable used to ...

Imputation in U.S. Manufacturing Data and Its Implications for ...

Download Citation | On Jul 12, 2016, Kirk White and others published Imputation in U.S. Manufacturing Data and Its Implications for Productivity Dispersion ...

Imputation in U.S. manufacturing data and its implications for ...

Fingerprint. Dive into the research topics of 'Imputation in U.S. manufacturing data and its implications for productivity dispersion'.

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Replication Data for: "Imputation in U.S. Manufacturing Data and Its Implications for Productivity Dispersion" ... Learn about Data Citation ...

Multiple Imputation in the Annual Survey of Manufactures

... the data due to imputation ... of the U.S. manufacturing data (Abraham and White ... While we have focused on the implications of missing and imputed data for ...

Plant-level Productivity and Imputation of Missing Data in U.S. ...

A large literature has been devoted to explaining the causes and consequences of these differences. In the U.S. Census Bureau's manufacturing data, the Bureau ...

plant-level productivity and imputation of missing data in the

The research program of the Center for Economic Studies (CES) produces a wide range of economic analyses to improve the statistical programs of the U.S. ...

The Effects of Editing and Imputation on Measured Plant-level and ...

White, T. Kirk, Jerome Reiter, and Amil Petrin. 2018. “Imputation in U.S. Manufacturing Data and. Its Implications for Productivity Dispersion.” ...

Imputation in Three Federal Statistical Agencies

This paper has been prepared for presentation to the Federal Economic Statistics Advisory. Committee (FESAC) on October 17, 2003.

A missing manufacturing process data imputation framework for ...

Motivated by the above challenges, a missing manufacturing process data imputation framework is proposed for nonlinear dynamic soft sensor ...

Imputation in the Census of Manufactures

This presentation has been screened to ensure that no confidential data are revealed. Page 2. The U.S. Census of Manufactures. ▫ Conducted every 5 years (part ...

6 Editing, Imputation, Disclosure Control, and Quality Standards

Many of the annual economic surveys use updated administrative data from the U.S. Census Bureau's Business Register for imputation and nonresponse adjustment.