An Empirical Stock-Flow Consistent Macroeconomic Model for Denmark

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  Argentina’s (Macroeconomic?) Trap

  Sebastian Valdecantos
  Abstract

  The Argentinean economy has just ended another lost decade. After the peak registered in 2011, the per capita GDP has oscillated with a decreasing trend, leaving the economy poorer than it was ten years before. During these ten years, different governments with conflicting macroeconomic programs were in power, none of them able to save the economy from stagflation. The goal of this paper is to address to what extent the economic performance would have been better had other policy combinations been implemented. The analysis is made through an empirical quarterly stock-flow consistent (SFC) model for the period 2007–19 in order to ensure the coherence of the results and to give the outcomes of the simulations a holistic and dynamically consistent interpretation. From the results of the simulations it seems that the problem that is keeping Argentina in stagflation goes beyond the domain of macroeconomics. The fact that in practice two divergent macroeconomic programs were implemented—neither of them being able to produce good and sustainable macroeconomic performance—is a first symptom that favors the case for that hypothesis. When the model is used to counterfactually test the policy recommendations of these approaches with the external conditions that prevailed while the opposite program was implemented, none of them yield results that can be deemed sustainable. Yet, the model developed in this paper can be useful for studying the different policy combinations that, given a specific context, can bring about more stable and sustainable dynamics for the Argentinean economy.

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• Working Paper No.1031 09 October 2023

  A Stock-Flow Ecological Model from a Latin American Perspective

  Lorenzo Nalin, Giuliano Toshiro Yajima, Leonardo Rojas Rodriguez, Esteban Pérez-Caldentey and José Eduardo Alatorre
  Abstract

  This study aims to develop an ecological stock-flow consistent (SFC) model based on the Latin American–stylized facts regarding economic, financial, and environmental features. We combine the macro-financial theoretical framework by Pérez-Caldentey et al. (2021, 2023) and the ecological modeling of Carnevali et al. (2020) and Dafermos et al. (2018). We discuss two scenarios that test exogenous climate-related shocks. The first scenario presents the case in which international regulation on commodity trade becomes more stringent due to environmental concerns, thus worsening the balance-of-payment constraint of the region. The second scenario concerns the increase in frequency and intensity of adverse climate events in the region. Both scenarios show that the financial external constraint that determines the growth path of Latin American economies may be further exacerbated due to environmental-related issues.

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• Working Paper No.1027 07 August 2023

  Structural Change and Gender Sectoral Segregation in Sub-Saharan Africa

  Izaskun Zuazu
  Abstract

  Structural change has long been at the core of economic development debates. However, the gender implications of structural change are still largely unexplored. This paper helps to fill this gap by analyzing the role of structural change in the gender distribution of sectoral employment in sub-Saharan African countries. I employ aggregate and disaggregate measures of gender sectoral segregation in employment on a panel database consisting of 10 sectors and 11 countries during 1960–2010. Fixed effects and instrumental variables’ regression models show a significant, non-linear link between labor productivity and gender segregation. Increasing labor productivity depresses gender segregation at initial phases of structural change. However, further productivity gains beyond a certain threshold of sectoral development increases gender segregation. Country-industry panel data models complement the analysis by considering relative labor productivity as a determinant of sectoral feminization. The estimates suggest that manufacturing, utilities, construction, business, and government services are key to correcting gender biases in employment along the process of structural change.

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