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Price setting behaviour in Latvia: Econometric evidence from CPI micro data

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  • Benkovskis, Konstantins
  • Fadejeva, Ludmila
  • Kalnberzina, Krista

Abstract

This paper discovers the driving forces behind Latvian firms' decisions to adjust prices by using various panel logit models, which explain the probability of observing price change by a broad set of exogenous variables. The results show that the consumer price formation in Latvia is a combination of both state-dependent and time-dependent behaviours. On the one hand, frequency of price changes depends on inflation, demand conditions, and the size of last price changes. On the other hand, we observe some elements of time-dependent price setting like price truncation and strong seasonal pattern. We also find several important differences in the price setting behaviour in cases of price increases and decreases. The fact that frequency of price changes in Latvia depends on inflation as well as demand and supply conditions allows for faster price adjustment process in the event of high distortions in the economy.

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  • Benkovskis, Konstantins & Fadejeva, Ludmila & Kalnberzina, Krista, 2012. "Price setting behaviour in Latvia: Econometric evidence from CPI micro data," Economic Modelling, Elsevier, vol. 29(6), pages 2115-2124.
    • Handle: RePEc:eee:ecmode:v:29:y:2012:i:6:p:2115-2124
    DOI: 10.1016/j.econmod.2012.07.003
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    Cited by:

    1. Erwan Gautier & Cristina Conflitti & Riemer P. Faber & Brian Fabo & Ludmila Fadejeva & Valentin Jouvanceau & Jan-Oliver Menz & Teresa Messner & Pavlos Petroulas & Pau Roldan-Blanco & Fabio Rumler & Se, 2022. "New Facts on Consumer Price Rigidity in the Euro Area," Working Papers 2022/03, Latvijas Banka.
    2. Konstantins Benkovskis & Ludmila Fadejeva, 2014. "The effect of VAT rate on inflation in Latvia: evidence from CPI microdata," Applied Economics, Taylor & Francis Journals, vol. 46(21), pages 2520-2533, July.
    3. Ibrahim Mohammed & Basak Denizci Guillet & Rob Law & Wassiuw Abdul Rahaman, 2021. "Predicting the direction of dynamic price adjustment in the Hong Kong hotel industry," Tourism Economics, , vol. 27(2), pages 346-364, March.
    4. Yılmaz, Engin & Süslü, Bora, 2018. "The Determinants of Price Frequency in Turkey," MPRA Paper 86350, University Library of Munich, Germany.
    5. Chronis, George A., 2016. "Modelling the extreme variability of the US Consumer Price Index inflation with a stable non-symmetric distribution," Economic Modelling, Elsevier, vol. 59(C), pages 271-277.
    6. Cristina Conflitti & Riemer P. Faber & Brian Fabo & Ludmila Fadejeva & Erwan Gautier & Valentin Jouvanceau & Jan-Oliver Menz & Teresa Messner & Pavlos Petroulas & Pau Roldan-Blanco & Fabio Rumler & Se, 2022. "New Facts on Consumer Price Rigidity in the Euro Area (Erwan Gautier, Cristina Conflitti, Riemer P. Faber, Brian Fabo, Ludmila Fadejeva, Valentin Jouvanceau, Jan-Oliver Menz, Teresa Messner, Pavlos Pe," Working Papers 240, Oesterreichische Nationalbank (Austrian Central Bank).
    7. Ludmila Fadejeva & Olegs Krasnopjorovs, 2015. "Labour market adjustment during 2008-2013 in Latvia: firm level evidence," Working Papers 2015/02, Latvijas Banka.
    8. Konstantins Benkovskis, 2018. "Misallocation, productivity and fragmentation of production: the case of Latvia," Journal of Productivity Analysis, Springer, vol. 49(2), pages 187-206, June.
    9. Gautier, Erwan & Karadi, Peter & Conflitti, Cristina & Fabo, Brian & Fadejeva, Ludmila & Fuss, Catherine & Kosma, Theodora & Jouvanceau, Valentin & Martins, Fernando & Menz, Jan-Oliver & Messner, Tere, 2023. "Price adjustment in the euro area in the low-inflation period: evidence from consumer and producer micro price data," Occasional Paper Series 319, European Central Bank.
    10. Ludmila Fadejeva & Ieva Opmane, 2016. "Internal labour market mobility in 2005–2014 in Latvia: the micro data approach," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 16(2), pages 152-174.

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    More about this item

    Keywords

    Price setting behaviour; Panel logit model; Latvia; CPI micro data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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