To rebuild fiscal buffers after large fiscal responses to successive shocks over 2020-22, France will need to reverse the trend spending increase observed over the last three decades through structural spending reforms. This paper identifies areas where scope for savings or efficiency gains exist based on an evaluation of the level and efficiency of public spending in France relative to European peers, using benchmarking analysis and stochastic frontier analysis to derive efficiency frontiers. Reforming social protection, health, education, and civil service, and rationalizing tax expenditures should preserve or improve outcomes while generating savings that would help meet medium-term adjustment needs.
As livelihoods in Niger still depend to a large extent on agricultural production, shocks related to climate change and insecurity present a threat for the country’s development path and are the main sources of vulnerability for the population in rural areas. This paper uses data from the latest household living standard survey to quantify the effects and interactions of these shocks on household welfare before proposing policy recommendations to enhance the resilience of households and the economy more generally. Our results show that when rainfall decreases by one standard deviation, per capita income falls by 11 percent. Furthermore, the impact of shocks on households depends on their adaptive capacity, which includes sufficient agricultural capital and income diversification. Without concrete adaptation measures, vulnerability to climate change is expected to increase in Niger, and human capital accumulation in poor household is also expected to deteriorate and could lead to a poverty trap.
Niger’s exposure to recurrent shocks, including climate shocks, increases its vulnerability to food insecurity. This paper aims to quantify the combined effects of climate shocks and food insecurity on key economic variables and identify the most effective mitigation policy responses using a general equilibrium model. Results indicate that rural households would be the most affected by a climate shock resulting in a decline in domestic agricultural production, which would reduce their consumption, erode their capital, and thus increase urban-rural inequalities. Simulations show that cash transfers and the reduction of internal mobility costs appear to be more effective in mitigating the impact on households of a climate shock on agricultural production.
This paper explores the state of gender equality and education attainment of girls in Niger. It also estimates the macroeconomic gains from reducing gaps in education between boys and girls using a micro-founded general equilibrium model. The analysis shows that Niger has made some progress toward higher educational attainment for girls, but the country still lags far behind other sub-Saharan African countries. The results from the general equilibrium model suggest that closing the gender gaps in education would boost female labor participation, increase income earned by women and improve fiscal outcomes. More importantly, closing the gender gap in years of schooling in each income percentile would boost long-term GDP by 11 percent. These significant economic gains from investing in girls’ education will contribute to the achievements of the strategic goals defined under the Programme de Développement Economique et Social (PDES) 2022-26.
Financial inclusion can increase economic growth and productivity and reduce poverty and inequality by helping people and firms—particularly SMEs—to save and invest, smooth consumption, and better manage financial risks. This paper highlights Niger’s lag compared to other WAEMU countries in terms of access to and use of formal financial services, including for women and youth, and underscores key demand and supply side challenges to financial inclusion as well as structural impediments. It lays out key priorities for Niger to harness the potential of greater financial inclusion to support the country’s development agenda, including efforts to tackle low financial literacy, promote digitization, and address informality.
This selected issue paper investigates the drivers of diversification and explores the potential for fostering diversification in Niger with a focus on horizontal policies. The empirical results from panel regressions indicate that reforms to enhance human capital and the quality of infrastructure, to promote digitalization, to remove barriers to trade and improve governance are likely to yield the largest gains in terms of diversification for Niger.
Though high and rising inflation has been a challenge for most economies across Europe in 2022 and into 2023, it has accelerated in Hungary to the highest level in Europe. This paper examines how and why Hungary reached historically high inflation. It draws on an augmented Phillips Curve to estimate the impact of common drivers of inflation, examines the role of labor market tightness and policy stances, and analyzes possible changes to the degree of exchange rate pass-through in recent years. Overall, a rapid recovery from the COVID-19 crisis, a series of exogenous shocks, and too loose a policy mix fueled inflation to its highest level in decades. Though monetary and fiscal policies are now tightening, regulatory price caps undermine those efforts. Going forward, a consistently and persistently tight overall policy mix is needed to drive inflation back to the central bank’s target.
Within its inflation-targeting framework, the Magyar Nemzeti Bank (MNB) has frequently adjusted its monetary operations. This has raised questions about their internal consistency, appropriateness, and effectiveness. A broader assessment, implying a comparison to a counterfactual, is outside the scope of this paper. Our prior is agnostic. We find that the changes were generally well-motivated within the MNB statutory powers; prioritized, transparently explained, and monitored; and promptly adjusted, when they no longer served their purpose. Occasionally, some tools have worked at cross purposes. Government policies have at times hampered monetary policy. Simplicity comes with a premium, as complexity can blur signals.
Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs model interpretability and their ability to provide adequate guidance in the design of crisis prevention and mitigation policies. This paper introduces surrogate data models as dimensionality reduction tools in large-scale crisis prediction models. The appropriateness of this approach is assessed by their application to large-scale crisis prediction models developed at the IMF. The results are consistent with economic intuition and validate the use of surrogates as interpretability tools.
We estimate the role of (pre-Ukraine war) supply disruptions in constraining the Covid-19 pandemic recovery, for several advanced economies and emerging markets, and globally. We rely on two approaches. In the first approach, we use sign-restricted Vector Auto Regressions (SVAR) to identify supply and demand shocks in manufacturing, based on the co-movement of surveys on new orders and suppliers’ delivery times. The effects of these shocks on industrial production and GDP are recovered through a combination of local projection methods and the input-output framework in Acemoglu et al. (2016). In the second approach, we use the IMF’s G20 model to gauge the importance of supply shocks in jointly driving activity and inflation surprises. We find that supply disruptions subtracted between 0.5 and 1.2 percent from global value added during the global recovery in 2021, while also adding about 1 percent to global core inflation that same year.