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Soon after the Lehman crisis, the International Monetary Fund (IMF) surprised its critics with a reconsideration of its research and advice on fiscal policy. The paper traces the influence that the Fund’s senior management and research elite has had on the recalibration of the IMF’s doctrine on fiscal policy. The findings suggest that overall there has been some selective incorporation of unorthodox ideas in the Fund’s fiscal doctrine, while the strong thesis that austerity has expansionary effects has been rejected. Indeed, the Fund’s new orthodoxy is concerned with the recessionary effects of fiscal consolidation and, more recently, endorses calls for a more progressive adjustment of the costs of fiscal sustainability. These changes notwithstanding, the IMF’s adaptive incremental transformation on fiscal policy issues falls short of a paradigm shift and is best conceived of as an important recalibration of the precrisis status quo.

The new economic-policy regime in Sweden in the 1990s included deregulation, central-bank independence, inflation targets and fiscal rules but also active labour market policy and voluntary incomes policy. This chapter describes the content, determinants and performance of the new economic policy in Sweden in a comparative, mainly Nordic, perspective. The new economic-policy regime is explained by the deep recession and budget crisis in the early 1990s, new economic ideas and the power of economic experts. In the 1998–2007 period, Sweden displayed relatively low inflation and high productivity growth, but unemployment was high, especially by national standards. The restrictive monetary policy was responsible for the low inflation, and the dynamic (ICT) sector was decisive for the productivity miracle. Furthermore, productivity increases in the ICT sector largely explains why the Central Bank undershot its inflation target in the late 1990s and early 2000s. The new economic-policy regime in Sweden performed well during the global financial crisis. However, as in other OECD countries, the moderate increase in unemployment was largely attributed to labour hoarding. And the rapid recovery of the Baltic countries made it possible for Sweden to avoid a bank crisis.

In this chapter, the historical and theoretical evolution of the policy framework in Europe is presented. It begins from the early steps guided by the general principles of the Keynesian theory in open economies, goes through its revision after the 1970s and the fall of the Bretton Woods agreements, the creation of the European monetary system, and ends with a presentation of the theoretical underpinning that brought to the model on which the European monetary union was built on. The evolution of the economic theory is pieced together, in the light of the main historical and political facts that occurred. A first insight about the flaws of the Eurozone policy framework is provided.

This chapter argues that monetary integration must precede, rather than follow, monetary unification, in order to avoid the occurrence of structural and systemic crises. It briefly overviews the relevant literature on european monetary union (EMU) with regard to the criteria to set up an optimum currency area (OCA) according to the mainstream view. It then points out that adopting the euro as single currency for a number of heterogeneous countries led inevitably to a number of major negative effects, so much so because of the counterproductive financial constraints induced by the Euro-area fiscal and monetary policies framework. Particularly, the lack of fiscal transfers between these countries and the dogmatic attitude of the European Central Bank (ECB) as regards its policy strategy and goal increase, rather than reducing, the unemployment rate, and the degree of financial instability across the euro area. In fact, a way out of the euro area exists without renouncing to the (long-run) benefits of monetary integration. It implies that countries whose population suffers most of “fiscal consolidation” introduce their national currencies again, limiting the use of the euro to their central banks only, in order for them to settle all international trade and financial-market transactions carried out by residents in these countries. This monetary–structural reform will be instrumental in increasing financial stability and employment levels across Europe, thereby inducing positive effects also for trade and public finance.

The effectiveness of fiscal policy is an interesting field in literature of macroeconomics. The purpose of this paper is to investigate the effects of fiscal policy on economic growth under contributions from the differences in institutions and external debt levels.

The authors use panel data from 2002 to 2014 from 20 emerging markets and use GMM estimators for unbalanced panel data.

The results show positive growth effects of fiscal policy across emerging markets in the examined periods. Notably, the improvement in institutions promotes higher crowding-in effects of fiscal policy. In addition, this paper finds interesting evidences that the external debt has non-linear effects on economic growth, whereas the heterogeneous effects of fiscal policy on economic growth as positive effects in low indebted level and negative effect in high indebted level may explain the mechanism of this non-linear relationship.

This study proposes the non-linear relationship of fiscal growth effects in emerging economies under the dynamic of debt levels.

The purpose of this study is to provide new insights into the relationship between fiscal policy and total factor productivity (TFP) while accounting for several economic and econometric issues of the phenomenon like non-stationarity, fiscal feedback effects, persistence in productivity, country heterogeneity and unobserved global shocks and local spillovers affecting heterogeneously the countries in the sample.

The paper is empirical. It builds an Error Correction Model (ECM) specification within a dynamic heterogeneous framework with common correlated effects and models both reverse causality and feedback effects.

The results of this study highlight some new findings relative to the existing related literature. The outcomes suggest some relevant evidence at both the academic and policy levels: (1) the causal effects going from fiscal deficit/surplus to TFP are heterogeneous across countries; (2) the effects depend on the time horizon considered; (3) the long-run dynamics of TFP are positively impacted by improvements in fiscal budget, but only if the austerity measures do not exert slowdowns in aggregate growth.

The main originality of this study is methodological, with possible extensions to related phenomena. Relative to the existing literature, the gains of this study rely on the way econometric techniques, recently proposed in the literature, are adapted to the economic relationship of interest. The endogeneity due to the existence of reverse causality is modelled without implying relevant performance losses of the models. Moreover, this is the first article that questions whether the effects of fiscal budget on productivity depend on the impact of the former on aggregate output growth, thus emphasising the importance of the quality of fiscal adjustments.

Public debt forecasts represent a key policy issue. Many methodologies have been employed to predict debt sustainability, including dynamic stochastic general equilibrium models, the stock flow consistent method, the structural vector autoregressive model and, more recently, the neuro-fuzzy method. Despite their widespread application in the empirical literature, all of these approaches exhibit shortcomings that limit their utility. The present research adopts a different approach to public debt forecasts, that is, the random forest, an ensemble of machine learning.

Using quarterly observations over the period 2000–2021, the present research tests the reliability of the random forest technique for forecasting the Italian public debt.

The results show the large predictive power of this method to forecast debt-to-GDP fluctuations, with no need to model the underlying structure of the economy.

Compared to other methodologies, the random forest method has a predictive capacity that is granted by the algorithm itself. The use of repeated learning, training and validation stages provides well-defined parameters that are not conditional to strong theoretical restrictions This allows to overcome the shortcomings arising from the traditional techniques which are generally adopted in the empirical literature to forecast public debt.