Data and Code for: Estimating the Optimal Inflation Target from Trends in Relative Prices

Principal Investigator(s):  View help for Principal Investigator(s) Klaus Adam, University of Mannheim; Henning Weber, Deutsche Bundesbank

Version:  View help for Version V1

Name File Type Size Last Modified
  #DATA 05/12/2022 09:11:AM
  #plots 05/12/2022 09:12:AM
  Step1_read_ONS_micro_prices 05/12/2022 09:16:AM
  Step2_read_ONS_stratum_weights 05/12/2022 09:16:AM
  Step3_rep_ONS_indices 05/12/2022 09:16:AM
  Step4_prep_regr_data 05/12/2022 09:17:AM
  Step5_regr 05/12/2022 09:17:AM
  Step6_results 05/12/2022 09:17:AM
readme.txt text/plain 4.2 KB 05/12/2022 05:03:AM

Project Citation: 

Adam, Klaus, and Weber, Henning. Data and Code for: Estimating the Optimal Inflation Target from Trends in Relative Prices. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-06-21. https://doi.org/10.3886/E162161V1

Project Description

Summary:  View help for Summary This repository provides the data and MatLab code producing the figures and tables in "Estimating the Optimal Inflation Target from Trends in Relative Prices" by Klaus Adam and Henning Weber, American Economic Journal: Macroeconomics, forthcoming as of Febuary 2022.
Funding Sources:  View help for Funding Sources Deutsche Forschungsgemeinschaft (Germany) (CRC-TR-224, Project C02)

Scope of Project

JEL Classification:  View help for JEL Classification
      E31 Price Level; Inflation; Deflation
Geographic Coverage:  View help for Geographic Coverage United Kingdom
Time Period(s):  View help for Time Period(s) 1996 – 2016


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Published Versions

V1 [2023-06-21]

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