IDEAS home Printed from https://ideas.repec.org/p/ssb/dispap/556.html

A Demand System for Input Factors when there are Technological Changes in Production

Author

Listed:

Abstract

In a system with n input factors there are n − 1 independent cost shares. An often-used approach in estimating factor demand systems is to (implicitly or explicitly) assume that there is a (independent) cointegrating relationship for each of the n − 1 independent cost shares. However, due to technological changes there might not be as many cointegrating relationships as there are (independent) cost shares. The paper presents a flexible demand system that allows for both factor neutral technological changes as well as technological changes that affect the relative use of the different factors. The empirical tests indicate that there are fewer cointegrating relationships than usually implied by using conventional estimation approaches. This result is consistent with technological changes. I argue that since such unexplained technological changes are likely to affect input factor decisions, a demand system that allows for such changes should be preferred.

Suggested Citation

  • Håvard Hungnes, 2008. "A Demand System for Input Factors when there are Technological Changes in Production," Discussion Papers 556, Statistics Norway, Research Department.
    • Handle: RePEc:ssb:dispap:556
    as

    Download full text from publisher

    File URL: https://www.ssb.no/a/publikasjoner/pdf/DP/dp556.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Abadir,Karim M. & Magnus,Jan R., 2005. "Matrix Algebra," Cambridge Books, Cambridge University Press, number 9780521537469, November.
    2. repec:bla:econom:v:66:y:1999:i:263:p:403-13 is not listed on IDEAS
    3. J.-F. Richard, 1980. "Models with Several Regimes and Changes in Exogeneity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 1-20.
    4. Harbo, Ingrid, et al, 1998. "Asymptotic Inference on Cointegrating Rank in Partial Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 388-399, October.
    5. repec:cup:cbooks:9780521822893 is not listed on IDEAS
    6. repec:bla:jecsur:v:12:y:1998:i:5:p:573-93 is not listed on IDEAS
    7. Rainer Klump & Peter McAdam & Alpo Willman, 2007. "The long-term sucCESs of the neoclassical growth model," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 23(1), pages 94-114, Spring.
    8. Saikkonen, Pentti & Lütkepohl, Helmut, 1999. "Local Power Of Likelihood Ratio Tests For The Cointegrating Rank Of A Var Process," Econometric Theory, Cambridge University Press, vol. 15(1), pages 50-78, February.
    9. Slade, Margaret E., 1989. "Modelling stochastic and cyclical components of technical change : An application of the Kalman filter," Journal of Econometrics, Elsevier, vol. 41(3), pages 363-383, July.
    10. Arvid Raknerud & Terje Skjerpen & Anders Swensen, 2007. "A linear demand system within a seemingly unrelated time series equations framework," Empirical Economics, Springer, vol. 32(1), pages 105-124, April.
    11. Håvard Hungnes, 2005. "Identifying Structural Breaks in Cointegrated VAR Models," Discussion Papers 422, Statistics Norway, Research Department.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Boug, Pål & Brasch, Thomas von & Cappelen, Ådne & Hammersland, Roger & Hungnes, Håvard & Kolsrud, Dag & Skretting, Julia & Strøm, Birger & Vigtel, Trond C., 2023. "Fiscal policy, macroeconomic performance and industry structure in a small open economy," Journal of Macroeconomics, Elsevier, vol. 76(C).
    2. Pål Boug & Ådne Cappelen & Torbjørn Eika, 2013. "The importance of the distribution sector for exchange rate pass-through in a small open economy. A large scale macroeconometric modelling approach," Discussion Papers 731, Statistics Norway, Research Department.
    3. Ådne Cappelen & Torbjørn Eika, 2020. "Immigration and the Dutch disease A counterfactual analysis of the Norwegian resource boom 2004-2013," Open Economies Review, Springer, vol. 31(3), pages 669-690, July.
    4. Pål Boug & Ådne Cappelen & Torbjørn Eika, 2013. "Exchange Rate Pass-through in a Small Open Economy: the Importance of the Distribution Sector," Open Economies Review, Springer, vol. 24(5), pages 853-879, November.
    5. Thomas von Brasch & Ådne Cappelen & Håvard Hungnes & Terje Skjerpen, 2020. "Modeling R&D spillovers to productivity. The effects of tax policy," Discussion Papers 927, Statistics Norway, Research Department.
    6. Thomas von Brasch & Marit Linnea Gjelsvik & Victoria Sparrman, 2018. "Deunionization and job polarization – a macroeconomic model analysis for a small open economy," Economic Systems Research, Taylor & Francis Journals, vol. 30(3), pages 380-399, July.
    7. von Brasch, T. & Cappelen, Å. & Hungnes, H. & Skjerpen, T., 2021. "Modeling R&D spillovers to productivity: The effects of tax credits," Economic Modelling, Elsevier, vol. 101(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    2. Pesavento, Elena, 2004. "Analytical evaluation of the power of tests for the absence of cointegration," Journal of Econometrics, Elsevier, vol. 122(2), pages 349-384, October.
    3. Allegret, Jean-Pierre & Sallenave, Audrey, 2014. "The impact of real exchange rates adjustments on global imbalances: A multilateral approach," Economic Modelling, Elsevier, vol. 37(C), pages 149-163.
    4. Kirstin Hubrich & Helmut Lutkepohl & Pentti Saikkonen, 2001. "A Review Of Systems Cointegration Tests," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 247-318.
    5. Muhammad AJMAIR & Khadim HUSSAIN & Sabahat AKRAM & Ambreen ZEB, 2017. "What determines the growth of services sector in Pakistan? A comparison of ARDL bound testing and time varying parametric estimation with general to specific approach," Turkish Economic Review, KSP Journals, vol. 4(3), pages 308-319, September.
    6. Jansen, Eilev S., 2004. "Modelling inflation in the euro area," Working Paper Series 322, European Central Bank.
    7. Jakšić Saša, 2022. "Modelling Determinants of Inflation in CESEE Countries: Global Vector Autoregressive Approach," Review of Economic Perspectives, Sciendo, vol. 22(2), pages 137-169, June.
    8. Alistair DIEPPE & Alberto GONZÁLEZ PANDIELLA & Stephen HALL & Alpo WILLMAN, 2010. "MEMBER: Multi-Country Euro Area Model with Boundedly Estimated Rationality," EcoMod2010 259600046, EcoMod.
    9. Takamitsu Kurita, 2007. "A dynamic econometric system for the real yen–dollar rate," Empirical Economics, Springer, vol. 33(1), pages 115-149, July.
    10. Carlomagno, Guillermo & Espasa, Antoni, 2014. "The pairwise approach to model a large set of disaggregates with common trends," DES - Working Papers. Statistics and Econometrics. WS ws141309, Universidad Carlos III de Madrid. Departamento de Estadística.
    11. Çakır, Mustafa Yavuz & Kabundi, Alain, 2013. "Trade shocks from BRIC to South Africa: A global VAR analysis," Economic Modelling, Elsevier, vol. 32(C), pages 190-202.
    12. Lee, Sokbae & Song, Kyungchul & Whang, Yoon-Jae, 2018. "Testing For A General Class Of Functional Inequalities," Econometric Theory, Cambridge University Press, vol. 34(5), pages 1018-1064, October.
    13. Shintani, Mototsugu, 2001. "A simple cointegrating rank test without vector autoregression," Journal of Econometrics, Elsevier, vol. 105(2), pages 337-362, December.
    14. Jennifer Castle & Takamitsu Kurita, 2019. "Modelling and forecasting the dollar-pound exchange rate in the presence of structural breaks," Economics Series Working Papers 866, University of Oxford, Department of Economics.
    15. Tan, Madeleine Sui-Lay, 2016. "Policy coordination among the ASEAN-5: A global VAR analysis," Journal of Asian Economics, Elsevier, vol. 44(C), pages 20-40.
    16. Cavaliere, Giuseppe & Fanelli, Luca & Gardini, Attilio, 2006. "Regional consumption dynamics and risk sharing in Italy," International Review of Economics & Finance, Elsevier, vol. 15(4), pages 525-542.
    17. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
    18. Keblowski, Piotr & Welfe, Aleksander, 2010. "Estimation of the equilibrium exchange rate: The CHEER approach," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1385-1397, November.
    19. Raslan Alzubi & Mustafa Caglayan & Kostas Mouratidis, 2017. "The Risk-Taking Channel in the US: A GVAR Approach," Working Papers 2017009, The University of Sheffield, Department of Economics.
    20. Olfa Manai Daboussi & Amira Majoul, 2014. "The transmission effects of the subprime crisis to emerging markets: A global VAR analysis," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 4(9), pages 427-438, September.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ssb:dispap:556. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: L Maasø (email available below). General contact details of provider: https://edirc.repec.org/data/ssbgvno.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.