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Granularity: Macroeconomics and Beyond

DOI: 10.4236/oalib.1111931, PP. 1-11

Subject Areas: Economic System

Keywords: Granularity, Granular Residual, Granular Size, Power Laws

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Abstract

Granularity, a macroeconomics concept, explains how small economic shocks can cause significant fluctuations in the broader economy. The granularity hypothesis posits that large firms’ shocks disproportionately impact the economy, countering the idea that these shocks are balanced out at the macro level by the law of large numbers. Granularity, indicating the presence of both few large and many small firms, implies that firm size distribution adheres to a power law, thereby linking granularity and power laws. Power law distributions are common across various scientific fields, yet the associated concept of granular size remains unexplored. We explain that computing the granular size opens up new research opportunities in a wide range of scientific areas where quantities follow a power law distribution.

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Silva, S. D. (2024). Granularity: Macroeconomics and Beyond. Open Access Library Journal, 11, e1931. doi: http://dx.doi.org/10.4236/oalib.1111931.

References

[1]  Kydland, F.E. and Prescott, E.C. (1982) Time to Build and Aggregate Fluctuations. Econometrica, 50, 1345-1370. https://doi.org/10.2307/1913386
[2]  Diamond, P.A. (1982) Aggregate Demand Management in Search Equilibrium. Journal of Political Economy, 90, 881-894. https://doi.org/10.1086/261099
[3]  Kiyotaki, N. (1988) Multiple Expectational Equilibria under Monopolistic Competition. The Quarterly Journal of Economics, 103, 695-713.
https://doi.org/10.2307/1886070
[4]  Blanchard, O.J. and Kiyotaki, N. (1987) Monopolistic Competition and the Effects of Aggregate Demand. American Economic Review, 77, 647-666.
[5]  Hall, R.E. (2009) By How Much Does GDP Rise If the Government Buys More Output? Brookings Papers on Economic Activity, 40, 183-249.
https://doi.org/10.1353/eca.0.0069
[6]  Christiano, L., Eichenbaum, M. and Rebelo, S. (2011) When Is the Government Spending Multiplier Large? Journal of Political Economy, 119, 78-121.
https://doi.org/10.1086/659312
[7]  Bernanke, B. and Gertler, M. (1989) Agency Costs, Net Worth, and Business Fluctuations. American Economic Review, 79, 14-31.
[8]  Kiyotaki, N. and Moore, J. (1997) Credit Cycles. Journal of Political Economy, 105, 211-248. https://doi.org/10.1086/262072
[9]  Guerrieri, V. and Lorenzoni, G. (2017) Credit Crises, Precautionary Savings, and the Liquidity Trap. The Quarterly Journal of Economics, 132, 1427-1467.
https://doi.org/10.1093/qje/qjx005
[10]  Mian, A., Rao, K. and Sufi, A. (2013) Household Balance Sheets, Consumption, and the Economic Slump. The Quarterly Journal of Economics, 128, 1687-1726.
https://doi.org/10.1093/qje/qjt020
[11]  Ball, L. and Romer, D. (1990) Real Rigidities and the Non-Neutrality of Money. The Review of Economic Studies, 57, 183-203. https://doi.org/10.2307/2297377
[12]  Friedman, M. and Schwartz, A.J. (1971) A Monetary History of the United States, 1867-1960. Princeton University Press.
[13]  Eggertsson, G.B. and Woodford, M.P. (2003) Zero Bound on Interest Rates and Optimal Monetary Policy. Brookings Papers on Economic Activity, 34, 139-233.
https://doi.org/10.1353/eca.2003.0010
[14]  Farhi, E. and Werning, I. (2016) A Theory of Macroprudential Policies in the Presence of Nominal Rigidities. Econometrica, 84, 1645-1704.
https://doi.org/10.3982/ecta11883
[15]  Acemoglu, D., Akcigit, U. and Kerr, W. (2016) Networks and the Macroeconomy: An Empirical Exploration. NBER Macroeconomics Annual, 30, 273-335.
https://doi.org/10.1086/685961
[16]  Gabaix, X. (2011) The Granular Origins of Aggregate Fluctuations. Econometrica, 79, 733-772.
[17]  Carvalho, V.M. (2010) Aggregate Fluctuations and the Network Structure of Intersectoral Trade. Economics Working Paper, Universit at Pompeu Fabra.
[18]  Acemoglu, D., Carvalho, V., Ozdaglar, A. and Tahbaz-Salehi, A. (2012) The Network Origins of Aggregate Fluctuations. Econometrica, 80, 1977-2016.
[19]  Baqaee, D. (2015) Labor Intensity in an Interconnected Economy. Harvard University Working Paper.
[20]  Acemoglu, D., Ozdaglar, A. and Tahbaz-Salehi, A. (2017) Microeconomic Origins of Macroeconomic Tail Risks. American Economic Review, 107, 54-108.
https://doi.org/10.1257/aer.20151086
[21]  Da Silva, S., Matsushita, R. and Esquierro, L. (2023) The Granular Size Concept in Avian Ecology: A Critical Analysis of Ebird Data Bias Using the Bird Rank Abundance Distribution. Birds, 4, 330-336. https://doi.org/10.3390/birds4040028
[22]  Esquierro, L. and Da Silva, S. (2022) Granular Inflation Spillovers. Journal of Economic Studies, 50, 1226-1244. https://doi.org/10.1108/jes-03-2022-0140
[23]  Clauset, A., Shalizi, C.R. and Newman, M.E.J. (2009) Power-Law Distributions in Empirical Data. SIAM Review, 51, 661-703. https://doi.org/10.1137/070710111
[24]  Newman, M. (2005) Power Laws, Pareto Distributions and Zipf’s Law. Contemporary Physics, 46, 323-351. https://doi.org/10.1080/00107510500052444
[25]  Jenkins, S.P. (2016) Pareto Models, Top Incomes and Recent Trends in UK Income Inequality. Economica, 84, 261-289. https://doi.org/10.1111/ecca.12217
[26]  Blanco-Arroyo, O., Ruiz-Buforn, A., Vidal-Tomás, D. and Alfarano, S. (2018) On the Determination of the Granular Size of the Economy. Economics Letters, 173, 35-38. https://doi.org/10.1016/j.econlet.2018.08.020
[27]  Miranda‐Pinto, J. and Shen, Y. (2019) A Granular View of the Australian Business Cycle. Economic Record, 95, 407-424. https://doi.org/10.1111/1475-4932.12495
[28]  Di Giovanni, J., Levchenko, A.A. and Mejean, I. (2014) Firms, Destinations, and Aggregate Fluctuations. Econometrica, 82, 303-1340.
[29]  Da Silva, S., Matsushita, R., Giglio, R. and Massena, G. (2018) Granularity of the Top 1,000 Brazilian Companies. Physica A: Statistical Mechanics and Its Applications, 512, 68-73. https://doi.org/10.1016/j.physa.2018.08.027
[30]  Fornaro, P. and Luomaranta, H. (2018) Aggregate Fluctuations and the Effect of Large Corporations: Evidence from Finnish Monthly Data. Economic Modelling, 70, 245-258.
https://doi.org/10.1016/j.econmod.2017.11.012
[31]  Horvath, M. (1998) Cyclicality and Sectoral Linkages: Aggregate Fluctuations from Independent Sectoral Shocks. Review of Economic Dynamics, 1, 781-808.
https://doi.org/10.1006/redy.1998.0028
[32]  Foerster, A.T., Sarte, P.G. and Watson, M.W. (2011) Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production. Journal of Political Economy, 119, 1-38. https://doi.org/10.1086/659311
[33]  Gon?alves, J., Matsushita, R. and Da Silva, S. (2020) The Asymmetric Brazilian Input-output Network. Journal of Economic Studies, 48, 604-615.
https://doi.org/10.1108/jes-05-2020-0225
[34]  Lucas, R.E. (1977) Understanding Business Cycles. Carnegie-Rochester Conference Series on Public Policy, 5, 7-29. https://doi.org/10.1016/0167-2231(77)90002-1
[35]  Dupor, B. (1999) Aggregation and Irrelevance in Multi-Sector Models. Journal of Monetary Economics, 43, 391-409. https://doi.org/10.1016/s0304-3932(98)00057-9
[36]  Yeh, C. (2017) Are Firm-Level Idiosyncratic Shocks Important for U.S. Aggregate Volatility? U.S. Census Bureau Center for Economic Studies Paper No. CES-WP-17-23.
[37]  Ebeke, C. and Eklou, K. (2017) The Granular Origins of Macroeconomic Fluctuations in Europe. IMF Working Paper No. 17/229.
https://doi.org/10.5089/9781484324806.001
[38]  Dacic, N. and Melolinna, M. (2019) The Empirics of Granular Origins: Some Challenges and Solutions with an Application to the UK. Bank of England Staff Working Paper No. 842.
[39]  Wagner, J. (2012) The German Manufacturing Sector Is a Granular Economy. Applied Economics Letters, 19, 1663-1665.
https://doi.org/10.1080/13504851.2012.663466
[40]  Blanco-Arroyo, O. and Alfarano, S. (2017) Granularity of the Business Cycle Fluctuations: The Spanish Case. Economía Coyuntural, 2, 31-58.
[41]  Wen, J. and Wang, B. (2023) A Granular View of the Chinese Business Cycle.
[42]  Popova, S. (2019) Idiosyncratic Shocks: Estimation and Impact on Aggregate Fluctuations. Bank of Russia Working Paper No. 46.
[43]  Silva, M. and Da Silva, S. (2020) The Brazilian Granular Business Cycle. Economics Bulletin, 40, 463-472.
[44]  Lee, M. (2015) Can Idiosyncratic Shocks to Firms Explain Macroeconomic Growth and Fluctuations in Korea? Journal of Economic Theory and Econometrics, 26, 63-78.
[45]  Grigoli, F., Luttini, E. and Sandri, D. (2023) Idiosyncratic Shocks and Aggregate Fluctuations in an Emerging Market. Journal of Development Economics, 160, Article 102949. https://doi.org/10.1016/j.jdeveco.2022.102949
[46]  Karasik, L., Leung, D. and Tomlin, B. (2016) Firm-Specific Shocks and Aggregate Fluctuations. Bank of Canada Staff Working Paper No. 2016-51.
[47]  Friberg, R. and Sanctuary, M. (2016) The Contribution of Firm-Level Shocks to Aggregate Fluctuations: The Case of Sweden. Economics Letters, 147, 8-11.
https://doi.org/10.1016/j.econlet.2016.08.009
[48]  Gnocato, N. and Rondinelli, C. (2018) Granular Sources of the Italian Business Cycle. Bank of Italy Working Paper No. 1190.
[49]  Papa, J. (2024) Looking under the Carpet: A Granular Approach to the Unusual Productivity Growth in Ireland. Transnational Corporations Review, 16, Article 200062. https://doi.org/10.1016/j.tncr.2024.200062
[50]  Czinkán, N. (2017) The Role of Individual Firms in Aggregate Fluctuations: Evidence from Hungary. Hitelintézeti Szemle, 16, 40-63.
https://doi.org/10.25201/fer.16.2.4063
[51]  Ali, E. and Elhadj, E. (2023) The Granularity of the Manufacturing Sector: Insights from a Developing Economy. Economics Bulletin, 43, 1254-1264.
[52]  Konings, J., Sagyndykova, G., Subramanian, V. and Volckaert, A. (2022) The Granular Nature of Emerging Market Economies: The Case of Kazakhstan. Economics of Transition and Institutional Change, 31, 429-464.
https://doi.org/10.1111/ecot.12346
[53]  Stella, A. (2015) Firm Dynamics and the Origins of Aggregate Fluctuations. Journal of Economic Dynamics and Control, 55, 71-88.
https://doi.org/10.1016/j.jedc.2015.03.009
[54]  Wagner, J. and Weche, J.P. (2020) On the Granularity of the German Economy—First Evidence from the Top 100 Companies Panel Database. Applied Economics Letters, 27, 1768-1771. https://doi.org/10.1080/13504851.2020.1722790
[55]  Kovalenko, T., Schnabel, C. and Stüber, H. (2020) Is the German Labour Market Granular? Applied Economics Letters, 29, 41-48.
https://doi.org/10.1080/13504851.2020.1855300
[56]  Wagner, J. (2013) The Granular Nature of the Great Export Collapse in German Manufacturing Industries, 2008/2009. Economics, 7, 1-21.
https://doi.org/10.5018/economics-ejournal.ja.2013-5
[57]  Cabral, S., Gouveia, C. and Manteu, C. (2020) The Granularity of Portuguese Firm-Level Exports. Banco de Portugal Working Paper.
[58]  Grullon, G., Hund, J. and Weston, J.P. (2013) A Granular Analysis of Corporate Investment. SSRN Electronic Journal, 1-42.
https://doi.org/10.2139/ssrn.2305349
[59]  Amiti, M. and Weinstein, D.E. (2018) How Much Do Idiosyncratic Bank Shocks Affect Investment? Evidence from Matched Bank-Firm Loan Data. Journal of Political Economy, 126, 525-587. https://doi.org/10.1086/696272
[60]  Maia, A., De Oliveira, G., Matsushita, R. and Da Silva, S. (2023) Granular Banks and Corporate Investment. Journal of Economics and Finance, 47, 586-599.
https://doi.org/10.1007/s12197-023-09641-y
[61]  Esquierro, L. and Da Silva, S. (2024) Is the Brazilian Labor Market Granular? Economics Bulletin, 44, 576-585.
[62]  Blank, S., Buch, C.M. and Neugebauer, K. (2009) Shocks at Large Banks and Banking Sector Distress: The Banking Granular Residual. Journal of Financial Stability, 5, 353-373. https://doi.org/10.1016/j.jfs.2008.12.002
[63]  Maia, A., Oliveira, G.D., Matsushita, R. and Da Silva, S. (2021) The Granularity of the Brazilian Banking Market. The North American Journal of Economics and Finance, 58, 101545. https://doi.org/10.1016/j.najef.2021.101545
[64]  Di Giovanni, J. and Levchenko, A.A. (2012) Country Size, International Trade, and Aggregate Fluctuations in Granular Economies. Journal of Political Economy, 120, 1083-1132. https://doi.org/10.1086/669161
[65]  Di Giovanni, J., Levchenko, A.A. and Mejean, I. (2017) Large Firms and International Business Cycle Comovement. American Economic Review, 107, 598-602.
https://doi.org/10.1257/aer.p20171006
[66]  Di Giovanni, J., Levchenko, A.A. and Mejean, I. (2018) The Micro Origins of International Business-Cycle Comovement. American Economic Review, 108, 82-108.
https://doi.org/10.1257/aer.20160091
[67]  Gaubert, C. and Itskhoki, O. (2021) Granular Comparative Advantage. Journal of Political Economy, 129, 871-939. https://doi.org/10.1086/712444
[68]  Esquierro, L. and Da Silva, S. (2024) Granular Cities. Economies, 12, Article 179.
https://doi.org/10.3390/economies12070179
[69]  Da Silva, S. and Matsushita, R. (2023) Power Laws Govern the Abundance Distribution of Birds by Rank. Birds, 4, 171-178. https://doi.org/10.3390/birds4020014
[70]  Da Silva, S., Matsushita, R. and Silva, M. (2020) A Power Law in the Ordering of the Elements of the Periodic Table. Physica A: Statistical Mechanics and Its Applications, 548, Article 123408. https://doi.org/10.1016/j.physa.2019.123408

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