Search Results

SORT BY: PREVIOUS / NEXT
Keywords:Data Revisions 

Working Paper
Understanding house price index revisions

Residential house price indexes (HPI) are used for a large variety of macroeconomic and microeconomic research and policy purposes, as well as for automated valuation models. As is well known, these indexes are subject to substantial revisions in the months following the initial release, both because transaction data can be slow to come in, and as a consequence of the repeat sales methodology, which interpolates the effect of sales over the entire period since the house last changed hands. We study the properties of the revisions to the CoreLogic House Price Index. This index is used both by ...
Working Papers , Paper 14-38

Working Paper
Communicating Data Uncertainty: Multi-Wave Experimental Evidence for UK GDP

Economic statistics are commonly published without estimates of their uncertainty. We conduct two waves of a randomized controlled online experiment to assess if and how the UK public understands data uncertainty. A control group observes only the point estimate of GDP. Treatment groups are presented with alternative qualitative and quantitative communications of GDP data uncertainty. We find that most of the public understands that GDP numbers are uncertain. Quantitative communications of data uncertainty help align the public’s subjective probabilistic expectations of data uncertainty ...
Working Papers , Paper 21-28R

Working Paper
Measurement Error in Macroeconomic Data and Economics Research: Data Revisions, Gross Domestic Product, and Gross Domestic Income

We analyze the effect of measurement error in macroeconomic data on economics research using two features of the estimates of latent US output produced by the Bureau of Economic Analysis (BEA). First, we use the fact that the BEA publishes two theoretically identical estimates of latent US output that only differ due to measurement error: the more well-known gross domestic product (GDP), which the BEA constructs using expenditure data, and gross domestic income (GDI), which the BEA constructs using income data. Second, we use BEA revisions to previously published releases of GDP and GDI. ...
Finance and Economics Discussion Series , Paper 2015-102

Working Paper
Communicating Data Uncertainty: Multi-Wave Experimental Evidence for UK GDP

Economic statistics are commonly published without any explicit indication of their uncertainty. To assess if and how the UK public interprets and understands data uncertainty, we conduct two waves of a randomized controlled online experiment. A control group is presented with the headline point estimate of GDP, as emphasized by the statistical office. Treatment groups are then presented with alternative qualitative and quantitative communications of GDP data uncertainty. We find that most of the public understands that uncertainty is inherent in official GDP numbers. But communicating ...
Working Papers , Paper 21-28

FILTER BY year

FILTER BY Content Type

FILTER BY Author

Galvão, Ana B. 2 items

Mitchell, James 2 items

Chang, Andrew C. 1 items

Elul, Ronel 1 items

Li, Phillip 1 items

Silverstein, Joseph M. 1 items

show more (2)

FILTER BY Jel Classification

C82 2 items

D80 2 items

E01 2 items

R21 1 items

R31 1 items

PREVIOUS / NEXT