boughabi, houssam (2026): Fiscal Regimes and Wage Formation: Learning Distributive Conflict in a Kaleckian Economy.
Preview |
PDF
MPRA_paper_128993.pdf Download (285kB) | Preview |
Abstract
This paper develops a Kaleckian model of wage dynamics in which wages are determined by forward-looking expectations, firms’ profitability, and institutional conditions shaped by fiscal policy. The model introduces nonlinear and regime-dependent effects through an institutional function that mediates the transmission of expectations and profits into wage outcomes. To empirically assess these mechanisms, we estimate a flexible reduced-form specification using machine learning methods, allowing for complex interactions and threshold effects that are not captured by standard linear approaches. The results provide evidence that institutional and fiscal regimes play a key role in shaping wage responses, supporting the view that income distribution is driven by distributive conflict and policy structures rather than market-clearing forces. These findings contribute to the post-Keynesian literature by offering a novel empirical framework for analyzing wage formation and highlight the importance of fiscal policy in influencing inequality and macroeconomic stability.
| Item Type: | MPRA Paper |
|---|---|
| Original Title: | Fiscal Regimes and Wage Formation: Learning Distributive Conflict in a Kaleckian Economy |
| Language: | English |
| Keywords: | Wage dynamics, distributive conflict, post-Keynesian economics, machine learning econometrics, fiscal institutions. |
| Subjects: | C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C45 - Neural Networks and Related Topics C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods E - Macroeconomics and Monetary Economics > E1 - General Aggregative Models > E12 - Keynes ; Keynesian ; Post-Keynesian E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E24 - Employment ; Unemployment ; Wages ; Intergenerational Income Distribution ; Aggregate Human Capital ; Aggregate Labor Productivity E - Macroeconomics and Monetary Economics > E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook > E60 - General |
| Item ID: | 128993 |
| Depositing User: | P.hD Houssam Boughabi |
| Date Deposited: | 05 Jun 2026 14:50 |
| Last Modified: | 05 Jun 2026 14:50 |
| References: | Akerlof, G. A. (2002). Behavioral macroeconomics and macroeconomic behavior. American Economic Review, 92(3), 411–433. Blanchard, O., & Giavazzi, F. (2003). Macroeconomic effects of regulation and deregulation in goods and labor markets. Quarterly Journal of Economics, 118(3), 879–907. Blecker, R. A. (1999). Kaleckian macro models for open economies. In J. Deprez & J. T. Harvey (Eds.), Foundations of International Economics: Post-Keynesian Perspectives (pp. 116–149). Routledge. Colander, D., Holt, R., & Rosser, J. B. (2004). The changing face of mainstream economics. Review of Political Economy, 16(4), 485–499. Dosi, G., Fagiolo, G., & Roventini, A. (2010). Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles. Journal of Economic Dynamics and Control, 34(9), 1748–1767. Hein, E. (2014). Distribution and Growth after Keynes: A Post-Keynesian Guide. Edward Elgar. Kalecki, M. (1971). Selected Essays on the Dynamics of the Capitalist Economy. Cambridge University Press. Keynes, J. M. (1937). The general theory of employment. Quarterly Journal of Economics, 51(2), 209–223. Kirman, A. (2010). Complex economics: Individual and collective rationality. Economic Journal, 120(543), F1–F29. Lavoie, M. (2014). Post-Keynesian Economics: New Foundations. Edward Elgar. Minsky, H. P. (1986). Stabilizing an Unstable Economy. Yale University Press. Stockhammer, E. (2013). Why have wage shares fallen? A panel analysis of the determinants of functional income distribution. ILO Conditions of Work and Employment Series No. 35. Taylor, L. (2004). Reconstructing Macroeconomics: Structuralist Proposals and Critiques of the Mainstream. Harvard University Press. Athey, S., & Imbens, G. W. (2019). Machine learning methods that economists should know about. Annual Review of Economics, 11, 685–725. Bénabou, R. (2005). Inequality, technology, and the social contract. NBER Working Paper No. 11203. Carlin, W., & Soskice, D. (2015). Macroeconomics: Institutions, Instability, and the Financial System. Oxford University Press. Fazzari, S., Ferri, P., & Variato, A. (2020). Demand-led growth and accumulation in post-Keynesian models. Cambridge Journal of Economics, 44(2), 333–357. Foley, D. K. (2003). Unholy Trinity: Labor, capital, and land in macroeconomics. Review of Radical Political Economics, 35(3), 221–237. Galí, J. (2015). Monetary Policy, Inflation, and the Business Cycle. Princeton University Press. Goodhart, C., & Pradhan, M. (2020). The Great Demographic Reversal. Palgrave Macmillan. Haldane, A., & Turrell, A. (2018). An interdisciplinary model of macroeconomics. Bank of England Staff Working Paper No. 706. Kapetanios, G., Pagan, A., & Scott, A. (2010). Econometric models with regime switching. Journal of Econometrics, 155(2), 123–134. Leamer, E. (2010). Tantalus on the road to asymptopia. Journal of Economic Perspectives, 24(2), 31–46. Milanovic, B. (2016). Global Inequality. Harvard University Press. Mullainathan, S., & Spiess, J. (2017). Machine learning: An applied econometric approach. Journal of Economic Perspectives, 31(2), 87–106. Powell, J. L., & Wagner, J. (2014). Identification in nonlinear macro models. Econometric Theory, 30(5), 1045–1075. Romer, D. (2019). Advanced Macroeconomics. McGraw-Hill. Tibshirani, R., Wainwright, M., & Hastie, T. (2015). Statistical Learning with Sparsity. CRC Press. Wooldridge, J. M. (2019). Introductory Econometrics. Cengage Learning. |
| URI: | https://mpra.ub.uni-muenchen.de/id/eprint/128993 |

