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2020 | 12 | nr 1 | 91--111
Tytuł artykułu

Disinflation and Reliability of Underlying Inflation Measures

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We estimated a non-Stationary dynamic factor model and used it to generate artificial episodes of disinflation (permanent changes in the mean inflation rate). These datasets were used to test the forecasting abilities of alternative underlying inflation indicators (i.e. measures that capture sustained movements in inflation extracted from information in a disaggregated set of price data). We found that the out of sample forecast errors of the benchmark underlying inflation measures (based on unobserved trend extraction) are more severely affected by disinflation than the alternative simpler methods (based on exclusion or re-weighting approaches). We also show that a non-stationary dynamic factor model may be employed for the extraction of the unobserved trend to be used as an underlying inflation measure. (original abstract)
Słowa kluczowe
EN
PL
Rocznik
Tom
12
Numer
Strony
91--111
Opis fizyczny
Twórcy
  • Bank of Russia
  • Bank of Russia
Bibliografia
  • [1] Amstad M., Potter S. M., Rich R., (2014), The FRBNY Staff Underlying Inflation Gauge: UIG, BIS Working Papers 453.
  • [2] Bai J., Ng S., (2002), Determining the Number of Factors in Approximate Factor Models, Econometrica 70, 191-221.
  • [3] Bai J., Ng S., (2004), A PANIC Attack on Unit Roots and Cointegration, Econometrica 72, 1127-1177.
  • [4] Bai J., Ng S., (2007), Determining the Number of Primitive Shocks in Factor Models, Journal of Business and Economic Statistics 25, 52-60.
  • [5] Bank of England, (2015), Measures of Underlying Inflation, Inflation Report, August.
  • [6] Barigozzi M., Lippi M., Luciani M., (2016), Non-Stationary Dynamic Factor Models for large datasets, http://arxiv.org/abs/1602.02398.
  • [7] Basistha A., (2007), Trend-Cycle Correlation, Drift Break and the Estimation of Trend and Cycle in Canadian GDP (Corrélation tendance-cycle, discontinuité, et estimation de la tendance et du cycle dans le PIB canadien), The Canadian Journal of Economics / Revue canadienne d'économique 40 (2), 584-606.
  • [8] Cristadoro R., Forni M., Reichlin L., Veronese G., (2005), An Underlying Inflation Indicator for the Euro Area, Journal of Money, Credit and Banking 37(3), 539-560.
  • [9] Deryugina E., Ponomarenko A., Sinyakov A., Sorokin C., (2018), Evaluating Underlying Inflation Measures for Russia, Macroeconomics and Finance in Emerging Market Economies 11(2), 124-145.
  • [10] Drehmann M., Tsatsaronis K., (2014), The Credit-to-GDP Gap and Countercyclical Capital Buffers: Questions and Answers, BIS Quarterly Review (March), 55-73.
  • [11] Forni M., Giannone D., Lippi M., Reichlin L., (2009), Opening the Black Box: Structural Factor Models versus Structural VARs, Econometric Theory 25, 1319- 1347.
  • [12] Forni M., Hallin M., Lippi M., Reichlin L., (2000), The Generalized Dynamic Factor Model: Identification and Estimation, The Review of Economics and Statistics 82, 540-554.
  • [13] García-Cintado A. C., Romero-Ávila D., Usabiaga C., (2015), A PANIC Analysis on Regional and Sectoral Inflation: The Spanish Case, Applied Economics 47, 4685-4713.
  • [14] García-Cintado A. C., Romero-Ávila D., Usabiaga C., (2016), The Economic Integration of Spain: A Change in the Inflation Pattern, Latin American Economic Review 25(1), 1-41.
  • [15] Gonzalez-Astudillo M., Roberts J.M., (2016), When Can Trend-Cycle Decompositions Be Trusted?, Finance and Economics Discussion Series 2016- 099, Washington: Board of Governors of the Federal Reserve System.
  • [16] Hallin M., Liška R., (2007), Determining the Number of Factors in the General Dynamic Factor Model, Journal of the American Statistical Association 102, 603-617.
  • [17] Hałka A., Szafrański G., (2018), What Core Inflation Indicators Measure? Evidence from the European Union Countries, Narodowy Bank Polski Working Paper Series 294.
  • [18] Lafleche T., Armour J., (2006), Evaluating Measures of Underlying Inflation, Bank of Canada Review, Summer.
  • [19] Macklem T., (2001), A New Measure of Underlying Inflation, Bank of Canada Review, Autumn.
  • [20] Mankikar A., Paisley J., (2004), Underlying Inflation: A Critical Guide, Bank of England Working Paper Series 242.
  • [21] Meyer B., Venkatu G., (2012), Trimmed Mean Inflation Statistics: Just Hit the One in the Middle, Federal Reserve Bank of Cleveland Working Paper Series 12-17R.
  • [22] Nelson C. R., (1988), Spurious Trend and Cycle in the State Space Decomposition of a Time Series with a Unit Root, Journal of Economic Dynamics and Control 12 (2-3), 475-488.
  • [23] Reis R., Watson M. W., (2010), Relative Goods' Prices, Pure Inflation, and the Phillips Correlation, American Economic Journal: Macroeconomics 2(3), 128- 157.
  • [24] Smith J. K., (2005), Inflation Targeting and Core Inflation, The Canadian Journal of Economics / Revue canadienne d'économique 38(3), 1018-1036.
  • [25] Stock J. H., Watson M. W., (2005), Implications of Dynamic Factor Models for VAR Analysis, Working Paper 11467, NBER.
  • [26] Wiesiołek P., Kosior A., (2010), To What Extent Can We Trust Core Inflation Measures? The Experience of CEE Countries, [in:] Measurement of Inflation and the Philippine Monetary Policy Framework, Bank for International Settlements 49, 297-323.
  • [27] Wynne M., (1999), Underlying Inflation: A Review of Some Conceptual Issues, European Central Bank Working Paper Series 5.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171597101

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