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What Drives Aggregate Investment? Evidence from German Survey Data

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  • Ruediger Bachmann
  • Peter Zorn

Abstract

The ifo Investment Survey asks firms in the German manufacturing sector about the importance of sales, technological factors, finance, return expectations, and macroeconomic policy for their investment activity in a given year. We show that these subjective investment determinants 1) capture economically what their labels suggest, and 2) have strong explanatory power for aggregate manufacturing investment growth fluctuations. In a second step, we use these determinants to identify aggregate demand and aggregate technology shocks and argue that the bulk of the variance of both aggregate manufacturing investment and output growth fluctuations (as much as approximately two thirds in both cases) is explained by aggregate demand shocks. Consistent with neoclassical views, however, technological factors are the most important investment determinant on average.

Suggested Citation

  • Ruediger Bachmann & Peter Zorn, 2013. "What Drives Aggregate Investment? Evidence from German Survey Data," CESifo Working Paper Series 4218, CESifo.
  • Handle: RePEc:ces:ceswps:_4218
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    1. Christina D. Romer & David H. Romer, 2004. "A New Measure of Monetary Shocks: Derivation and Implications," American Economic Review, American Economic Association, vol. 94(4), pages 1055-1084, September.
    2. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
    3. Karel Mertens & Morten O. Ravn, 2013. "The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States," American Economic Review, American Economic Association, vol. 103(4), pages 1212-1247, June.
    4. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    5. Bachmann, Rüdiger & Elstner, Steffen & Hristov, Atanas, 2017. "Surprise, surprise – Measuring firm-level investment innovations," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 107-148.
    6. Luigi Guiso & Giuseppe Parigi, 1999. "Investment and Demand Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 185-227.
    7. Christiano, Lawrence J & Eichenbaum, Martin & Evans, Charles, 1996. "The Effects of Monetary Policy Shocks: Evidence from the Flow of Funds," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 16-34, February.
    8. R?diger Bachmann & Steffen Elstner & Eric R. Sims, 2013. "Uncertainty and Economic Activity: Evidence from Business Survey Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 217-249, April.
    9. Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2016. "Expectations and Investment," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 379-431.
    10. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    11. Ulrike Malmendier & Stefan Nagel, 2016. "Learning from Inflation Experiences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(1), pages 53-87.
    12. Jae Sim & Egon Zakrajsek & Simon Gilchrist, 2010. "Uncertainty, Financial Frictions, and Investment Dynamics," 2010 Meeting Papers 1285, Society for Economic Dynamics.
    13. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2017. "Shock Restricted Structural Vector-Autoregressions," NBER Working Papers 23225, National Bureau of Economic Research, Inc.
    14. Cristina Arellano & Yan Bai & Patrick J. Kehoe, 2019. "Financial Frictions and Fluctuations in Volatility," Journal of Political Economy, University of Chicago Press, vol. 127(5), pages 2049-2103.
    15. George‐Marios Angeletos & Fabrice Collard & Harris Dellas, 2018. "Quantifying Confidence," Econometrica, Econometric Society, vol. 86(5), pages 1689-1726, September.
    16. Christina D. Romer & David H. Romer, 2010. "The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks," American Economic Review, American Economic Association, vol. 100(3), pages 763-801, June.
    17. Harald Uhlig, 2004. "Do Technology Shocks Lead to a Fall in Total Hours Worked?," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 361-371, 04/05.
    18. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    19. Jonas D. M. Fisher, 2006. "The Dynamic Effects of Neutral and Investment-Specific Technology Shocks," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 413-451, June.
    20. J. B. Taylor & Harald Uhlig (ed.), 2016. "Handbook of Macroeconomics," Handbook of Macroeconomics, Elsevier, edition 1, volume 2, number 2.
    21. Hall, Robert E, 1997. "Macroeconomic Fluctuations and the Allocation of Time," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 223-250, January.
    22. Rüdiger Bachmann & Tim O. Berg & Eric R. Sims, 2015. "Inflation Expectations and Readiness to Spend: Cross-Sectional Evidence," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 1-35, February.
    23. King, Robert G. & Rebelo, Sergio T., 1999. "Resuscitating real business cycles," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 14, pages 927-1007, Elsevier.
    24. Christopher D. Carroll & Wendy E. Dunn, 1997. "Unemployment Expectations, Jumping (S,s) Triggers, and Household Balance Sheets," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 165-230, National Bureau of Economic Research, Inc.
    25. Victor Dorofeenko & Gabriel S. Lee & Kevin D. Salyer, 2008. "Time‐Varying Uncertainty And The Credit Channel," Bulletin of Economic Research, Wiley Blackwell, vol. 60(4), pages 375-403, October.
    26. repec:fth:jonhop:386 is not listed on IDEAS
    27. Souleles, Nicholas S, 2004. "Expectations, Heterogeneous Forecast Errors, and Consumption: Micro Evidence from the Michigan Consumer Sentiment Surveys," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(1), pages 39-72, February.
    28. Sascha O. Becker & Klaus Wohlrabe, 2008. "European Data Watch: Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 128(2), pages 307-319.
    29. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-09 Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(1 (Spring), pages 81-156.
    30. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2007. "Business Cycle Accounting," Econometrica, Econometric Society, vol. 75(3), pages 781-836, May.
    31. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
    32. Nerlove, Marc, 1983. "Expectations, Plans, and Realizations in Theory and Practice," Econometrica, Econometric Society, vol. 51(5), pages 1251-1279, September.
    33. Robert B. Barsky & Eric R. Sims, 2012. "Information, Animal Spirits, and the Meaning of Innovations in Consumer Confidence," American Economic Review, American Economic Association, vol. 102(4), pages 1343-1377, June.
    34. Lawrence J. Christiano & Roberto Motto & Massimo Rostagno, 2014. "Risk Shocks," American Economic Review, American Economic Association, vol. 104(1), pages 27-65, January.
    35. Bachmann, Rüdiger & Elstner, Steffen, 2015. "Firm optimism and pessimism," European Economic Review, Elsevier, vol. 79(C), pages 297-325.
    36. John Shea, 1999. "What Do Technology Shocks Do?," NBER Chapters, in: NBER Macroeconomics Annual 1998, volume 13, pages 275-322, National Bureau of Economic Research, Inc.
    37. Michelle Alexopoulos, 2011. "Read All about It!! What Happens Following a Technology Shock?," American Economic Review, American Economic Association, vol. 101(4), pages 1144-1179, June.
    38. Olivier Blanchard & Roberto Perotti, 2002. "An Empirical Characterization of the Dynamic Effects of Changes in Government Spending and Taxes on Output," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1329-1368.
    39. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
    40. Chris Woolston, 2014. "Rice," Nature, Nature, vol. 514(7524), pages 49-49, October.
    41. McKay, Alisdair & Reis, Ricardo, 2008. "The brevity and violence of contractions and expansions," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 738-751, May.
    42. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    43. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    44. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-09 Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(1 (Spring), pages 81-156.
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    3. Link, Sebastian & Peichl, Andreas & Roth, Christopher & Wohlfart, Johannes, 2023. "Information frictions among firms and households," Journal of Monetary Economics, Elsevier, vol. 135(C), pages 99-115.
    4. George-Marios Angeletos, 2018. "Frictional Coordination," Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 563-603.
    5. Dovern, Jonas & Müller, Lena Sophia & Wohlrabe, Klaus, 2023. "Local information and firm expectations about aggregates," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 1-13.
    6. Marek Ignaszak & Petr Sedlácek, 2021. "Profitability, Productivity and Growth," Economics Series Working Papers 937, University of Oxford, Department of Economics.
    7. Michał Gradzewicz, 2022. "How do firms respond to demand and supply shocks?," KAE Working Papers 2022-075, Warsaw School of Economics, Collegium of Economic Analysis.
    8. Massenot, Baptiste & Pettinicchi, Yuri, 2018. "Can firms see into the future? Survey evidence from Germany," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 66-79.
    9. Sebastian Link & Manuel Menkhoff & Andreas Peichl & Paul Schüle & Lukas Menkhoff, 2022. "Downward Revision of Investment Decisions after Corporate Tax Hikes," CESifo Working Paper Series 9786, CESifo.
    10. Alexandros Botsis & Christoph Görtz & Plutarchos Sakellaris, 2020. "Quantifying Qualitative Survey Data: New Insights on the (Ir)Rationality of Firms' Forecasts," CESifo Working Paper Series 8148, CESifo.
    11. Christian Matthes & Felipe Schwartzman, 2019. "What Do Sectoral Dynamics Tell Us About the Origins of Business Cycles?," Working Paper 19-9, Federal Reserve Bank of Richmond.
    12. Dovern, Jonas & Müller, Lena Sophia & Wohlrabe, Klaus, 2020. "How Do Firms Form Expectations of Aggregate Growth? New Evidence from a Large-scale Business Survey," Working Papers 15, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    13. Alessandro Mistretta, 2021. "Business cycle synchronization or business cycle transmission? The effect of the German slowdown on the Italian economy," Temi di discussione (Economic working papers) 1346, Bank of Italy, Economic Research and International Relations Area.

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    More about this item

    Keywords

    investment dynamics; investment determinants; survey data; narrative approach; aggregate demand shocks; sentiment shocks;
    All these keywords.

    JEL classification:

    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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