Quantification and characteristics of household inflation expectations in Switzerland
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DOI: 10.1080/00036846.2015.1008773
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- Dr. Rina Rosenblatt-Wisch & Dr. Rolf Scheufele, 2014. "Quantification and characteristics of household inflation expectations in Switzerland," Working Papers 2014-11, Swiss National Bank.
References listed on IDEAS
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Citations
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- Łyziak, Tomasz & Paloviita, Maritta, 2016. "Anchoring of inflation expectations in the euro area: recent evidence based on survey data," Working Paper Series 1945, European Central Bank.
- Tomasz Lyziak, 2016. "Financial crisis, low inflation environment and short-term inflation expectations in Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 47(3), pages 285-300.
- Mellina, Sathya & Schmidt, Tobias, 2018. "The role of central bank knowledge and trust for the public's inflation expectations," Discussion Papers 32/2018, Deutsche Bundesbank.
- Thomas Nitschka & Nikolay Markov, 2016.
"Semi-Parametric Estimates of Taylor Rules for a Small, Open Economy – Evidence from Switzerland,"
German Economic Review, Verein für Socialpolitik, vol. 17(4), pages 478-490, November.
- Nitschka Thomas & Markov Nikolay, 2016. "Semi-Parametric Estimates of Taylor Rules for a Small, Open Economy – Evidence from Switzerland," German Economic Review, De Gruyter, vol. 17(4), pages 478-490, December.
- Das, Abhiman & Lahiri, Kajal & Zhao, Yongchen, 2019.
"Inflation expectations in India: Learning from household tendency surveys,"
International Journal of Forecasting, Elsevier, vol. 35(3), pages 980-993.
- Abhiman Das & Kajal Lahiri & Yongchen Zhao, 2018. "Inflation Expectations in India: Learning from Household Tendency Surveys," Working Papers 2018-03, Towson University, Department of Economics, revised Aug 2018.
- Alain Galli, 2017.
"How Reliable are Cointegration-Based Estimates for Wealth Effects on Consumption? Evidence from Switzerland,"
Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 153(4), pages 437-479, October.
- Dr. Alain Galli, 2016. "How reliable are cointegration-based estimates for wealth effects on consumption? Evidence from Switzerland," Working Papers 2016-03, Swiss National Bank.
- Oscar Claveria, 2021. "Forecasting with Business and Consumer Survey Data," Forecasting, MDPI, vol. 3(1), pages 1-22, February.
- Tomasz Łyziak, 2016. "The impact of financial crisis and low inflation environment on short-term inflation expectations in Poland," NBP Working Papers 235, Narodowy Bank Polski.
- Koichiro Kamada & Jouchi Nakajima & Shusaku Nishiguchi, 2015. "Are Household Inflation Expectations Anchored in Japan?," Bank of Japan Working Paper Series 15-E-8, Bank of Japan.
- Gießler, Stefan, 2020. "The evolution of monetary policy in Latin American economies: Responsiveness to inflation under different degrees of credibility," IWH Discussion Papers 9/2020, Halle Institute for Economic Research (IWH).
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More about this item
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
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