My da|ra Login

Detailed view

metadata language: English

Replication data for: An Experimental Component Index for the CPI: From Annual Computer Data to Monthly Data on Other Goods

Version
1
Resource Type
Dataset
Creator
  • Erickson, Tim
  • Pakes, Ariel
Publication Date
2011-08-01
Description
  • Abstract

    The CPI component indices are obtained from comparing price quotes at a given store in different periods. If we omit comparisons from goods in the store in the initial, but not in the comparison, period we generate a selection bias: goods that exit are disproportionately obsolete goods that have falling prices. Building on Pakes (2003), we explain why standard hedonic predictions for second-period prices of exiting goods do not account for this bias. New hedonic methods are derived, shown to have desirable properties, and are applied to three CPI samples where they generate significant selection corrections. (JEL C43, E31)
Availability
Download
Relations
  • Is supplement to
    DOI: 10.1257/aer.101.5.1707 (Text)
Publications
  • Erickson, Tim, and Ariel Pakes. “An Experimental Component Index for the CPI: From Annual Computer Data to Monthly Data on Other Goods.” American Economic Review 101, no. 5 (August 2011): 1707–38. https://doi.org/10.1257/aer.101.5.1707.
    • ID: 10.1257/aer.101.5.1707 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-11

Erickson, Tim; Pakes, Ariel (2011): Replication data for: An Experimental Component Index for the CPI: From Annual Computer Data to Monthly Data on Other Goods. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E112445V1