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Models of Factors Driving the Czech Export

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  • David Havrlant
  • Roman Hušek

Abstract

This paper aims to analyze the cost factors that influence the export of the Czech Republic, and to estimate models suitable for quantitative analysis of export and its prediction. According to the macroeconomic theory, the fundamental export factors include foreign demand, domestic and foreign price level and exchange rate. Foreign demand reflects the business cycle of foreign economy, price levels and exchange rate characterize the competitiveness of the exported goods, and the exchange rate determines, among others, the production costs through the prices of imported crucial inputs. Several models are applied to set of these variables, and their impact on the export dynamics of the Czech Republic is evaluated.

Suggested Citation

  • David Havrlant & Roman Hušek, 2011. "Models of Factors Driving the Czech Export," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(3), pages 195-215.
    • Handle: RePEc:prg:jnlpep:v:2011:y:2011:i:3:id:396:p:195-215
    DOI: 10.18267/j.pep.396
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    1. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    2. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    3. Abdelhak S. Senhadji & Claudio E. Montenegro, 1999. "Time Series Analysis of Export Demand Equations: A Cross-Country Analysis," IMF Staff Papers, Palgrave Macmillan, vol. 46(3), pages 1-2.
    4. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    5. Zhenhui Xu, 1999. "The exchange rate and long-run price movements in the US and Japan," Applied Economics Letters, Taylor & Francis Journals, vol. 6(4), pages 227-230.
    6. Geweke, John, 1984. "Inference and causality in economic time series models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 19, pages 1101-1144, Elsevier.
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    Cited by:

    1. repec:prg:jnlcfu:v:2021:y:2021:i:2:id:560 is not listed on IDEAS
    2. Pitoňáková Renáta, 2019. "Modelling CAR Export from Slovakia to the United Kingdom - Vector Error Correction Approach," Review of Economic Perspectives, Sciendo, vol. 19(4), pages 249-264, December.
    3. Petr Suler & Zuzana Rowland & Tomas Krulicky, 2021. "Evaluation of the Accuracy of Machine Learning Predictions of the Czech Republic’s Exports to the China," JRFM, MDPI, vol. 14(2), pages 1-30, February.
    4. Reginald Masimba Mbona, 2021. "The Impact of China-Africa Trade on Industries in Africa: A Case Study of FOCAC and BRI," Business and Economic Research, Macrothink Institute, vol. 11(2), pages 301-318, June.
    5. Rajmund Mirdala & Júlia Ďurčová, 2016. "Priepustnosť menových kurzov nových členských krajín Európskej unie [Exchange Rate Pass-Through to Domestic Prices in New EU Member Countries]," Politická ekonomie, Prague University of Economics and Business, vol. 2016(4), pages 377-404.
    6. Josef Taušer & Markéta Arltová & Pavel Žamberský, 2015. "Czech Exports and German GDP: A Closer Look," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(1), pages 17-37.
    7. Ilya Bolotov & Radek Čajka & Kateřina Gajdušková, 2013. "The Economic Balance of the Czech Republic and Slovakia During the Economic Crisis," Prague Economic Papers, Prague University of Economics and Business, vol. 2013(4), pages 504-523.
    8. Štěpán Chrz & Karel Janda & Ladislav Krištoufek, 2014. "Modelování provázanosti trhů potravin, biopaliv a fosilních paliv [Modeling Interconnections within Food, Biofuel, and Fossil Fuel Markets]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(1), pages 117-140.
    9. František Obešlo, 2017. "Export and Import Functions (Empirical Analysis on the Example of the Czech Republic)," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2017(3), pages 5-15.
    10. Matěj Urban & Michal Mejstřík & Jana Gutierrez Chvalkovská, 2014. "Application of the Decision Support Model to Czech Exports," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2014(2), pages 33-47.

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    More about this item

    Keywords

    export; exchange rate; cointegration analysis; VECM; import; producer and energy prices;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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