Fernandez, Leon and Pagliacci, Carolina (2016): The markup and aggregate fluctuations in Venezuela. Testing distributional shocks.
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Abstract
In Venezuela, exchange controls affect firm competitiveness, market structures and, potentially, markups’ size. Also, legal rigidities in the labor market and an active setting of minimum wages by the government could produce other markup innovations. These exogenous variations in markups could be the expression of distributional processes between firms, consumers and workers, and ultimately affect the business cycle. Based on different markup measures, we empirically identify how much of the markup variability in Venezuela is due to aggregate fluctuations (supply and demand shocks) and how much can be attributed to distributional processes (exogenous markup shocks). We find that while aggregate fluctuations tend to be more important, exogenous shocks explain a substantial part -about 40%- of the markup. These exogenous shocks mostly affect inflation and nominal wages, but not real activity. When aggregate fluctuations take place, the markup is mainly procyclical.
Item Type: | MPRA Paper |
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Original Title: | The markup and aggregate fluctuations in Venezuela. Testing distributional shocks |
Language: | English |
Keywords: | markup, distributional conflict, labor productivity, cyclical fluctuation, sign restriction identification |
Subjects: | E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles F - International Economics > F3 - International Finance > F30 - General J - Labor and Demographic Economics > J3 - Wages, Compensation, and Labor Costs > J30 - General |
Item ID: | 106538 |
Depositing User: | Carolina Pagliacci |
Date Deposited: | 23 Mar 2021 14:16 |
Last Modified: | 23 Mar 2021 14:16 |
References: | Banerjee, A., & Russell, B. (2001). The Relationship between the Markup and Inflation in the G7 Economies and Australia. The Review of Economics and Statistics(2), 377. doi: 10.2307/3211614 Banerjee, A., & Russell, B. (2004). A Reinvestigation of the Markup and the Business Cycle. Economic Modelling, 21(2), 267-284. doi: http://www.sciencedirect.com/science/journal/02649993 Banerjee, A., & Russell, B. (2005). Inflation and Measures of the Markup. Journal of Macroeconomics, 27(2), 289-306. doi: http://www.sciencedirect.com/science/journal/01640704 Basu, S. (1995). Intermediate Goods and Business Cycles: Implications for Productivity and Welfare. American Economic Review, 85(3), 512-531. doi: http://www.aeaweb.org/aer/ Basu, S., & Fernald, J. G. (1997). Returns to Scale in U.S. Production: Estimates and Implications. Journal of Political Economy, 105(2), 249-283. doi: http://www.jstor.org/action/showPublication?journalCode=jpoliecon Benabou, R. (1992). Inflation and markups: Theories and evidence from the retail trade sector. European Economic Review(2-3), 566. Bils, M. (1987). The Cyclical Behavior of Marginal Cost and Price. American Economic Review, 77(5), 838. Bils, M., & Chang, Y. (2000). Understanding How Price Responds to Costs and Production. Carnegie-Rochester Conference Series on Public Policy, 52, 33-77. doi: http://www.sciencedirect.com/science/journal/01672231 Bils, M., & Kahn, J. A. (2000). What Inventory Behavior Tells Us about Business Cycles. American Economic Review, 90(3), 458-481. doi: http://www.aeaweb.org/aer/ Bils, M., Klenow, P. J., & Malin, B. A. (2013). Testing for Keynesian Labor Demand. NBER/Macroeconomics Annual (University of Chicago Press), 27, 311-349. Domowitz, I., Hubbard, R. G., & Petersen, B. C. (1986). Business Cycles and the Relationship between Concentration and Price-Cost Margins. RAND Journal of Economics, 17(1), 1-17. doi: http://onlinelibrary.wiley.com/journal/10.1111/%28ISSN%291756-2171/issues Fedderke, J., Kularatne, C., & Mariotti, M. (2007). Mark-Up Pricing in South African Industry. Journal of African Economies, 16(1), 28-69. doi: http://jae.oxfordjournals.org/content/by/year Frenkel, R. (1979). Decisiones de precio en alta inflación. Desarrollo Economico, 19(75), 291-330. Frenkel, R. (1986). Salarios e inflación en América Latina. Resultados de investigaciones recientes en la Argentina, Brasil, Colombia, Costa Rica y Chile. Desarrollo Económico, 25(100), 587-622. doi: 10.2307/3466847 Galí, J. (1999). Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations? The American Economic Review, 89(1), 249-271. Gali, J., Gertler, M., & Lopez-Salido, J. D. (2007). Markups, Gaps, and the Welfare Costs of Business Fluctuations. Review of economics and statistics, 89(1), 44-59. doi: http://www.mitpressjournals.org/loi/rest Gopinath, G., & Neiman, B. (2014). Trade Adjustment and Productivity in Large Crises. Haskel, J., Martin, C., & Small, I. (1995). Price, Marginal Cost and the Business Cycle. Oxford Bulletin of Economics and Statistics, 57(1), 25-41. doi: http://onlinelibrary.wiley.com/journal/10.1111/%28ISSN%291468-0084/issues Jonsson, M., & Palmqvist, S. (2006). Inflation, Markups and Monetary Policy. Riksbank Research Paper(2). Karabarbounis, L. (2014). The labor wedge: MRS vs. MPN. Review of Economic Dynamics(2), 206. doi: 10.1016/j.red.2013.07.003 Kryvtsov, O., & Midrigan, V. (2013). Inventories, Markups, and Real Rigidities in Menu Cost Models. Review of Economic Studies, 80(1), 249-276. Marchetti, D. J. (2002). Markups and the Business Cycle: Evidence from Italian Manufacturing Branches. Open Economies Review, 13(1), 87-103. doi: http://link.springer.com/journal/volumesAndIssues/11079 Moro, A. (2011). Biased technical change, intermediate goods, and total factor productivity. Macroeconomic dynamics, 16(2), 184. Morrison, C. J. (1994). The Cyclical Nature of Markups in Canadian Manufacturing: A Production Theory Approach. Journal of Applied Econometrics, 9(3), 269-282. doi: http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291099-1255/issues Noyola Vázquez, J. (1956). El desarrollo económico y la inflación en México y otros países latinoamericanos. Investigación económica, 603-648. Pagliacci, C. (2015). Are we ignoring supply shocks? A proposal for monitoring cyclical fluctuations. Rotemberg, J. J., & Woodford, M. (1999). The Cyclical Behavior of Prices and Costs. In J. B. Taylor & M. Woodford (Eds.), Handbook of macroeconomics. (Vol. 1B, pp. 1051-1135). Amsterdam: Elsevier Science. Rubio-Ramírez, J. F., Waggoner, D. F., & Zha, T. A. O. (2010). Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference. Review of Economic Studies, 77(2), 665-696. doi: 10.1111/j.1467-937X.2009.00578.x Santaeulalia-Llopis, R., & Koh, D. (2014). The Shape of the Aggregate Production Function Over the Business Cycle and its Implications for the Labor Market. Available at SSRN 2516164. Sarantis, N. (1991). Conflict and inflation in industrial countries. International Review of Applied Economics, 5(2), 155-169. doi: 10.1080/758533095 Smets, F., & Wouters, R. (2007). Shocks and frictions in US business cycles: A Bayesian DSGE approach. National bank of belgium working paper(109). Uhlig, H. (2005). What are the effects of monetary policy on output? Results from an agnostic identification procedure. Journal of Monetary Economics, 52(2), 381-419. Vera, L. (2009). Cambio estructural, desindustrialización y pérdidas de productividad: evidencia para Venezuela. Cuadernos del Cendes(71), 89. Vera, L. (2013). Inflación estructural redux. Ensayos Economicos(69), 37-99. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/106538 |