Publications
Declines in marriage and fertility rates in many developed countries have fostered research debate and increasing policy attention. Using longitudinal data from the German Socio-Economic Panel, we analyze the effects of exposure to globalization on fertility and marital behavior in Germany, which was a lowest-low fertility setting until recently. We find that exposure to greater import competition from Eastern Europe led to worse labor market outcomes and lower fertility rates. In contrast, workers in industries that benefited from increased exports had better employment prospects and higher fertility. These effects are driven by low-educated individuals, married men, and full-time workers and reflect changes in the likelihood of having any child (the extensive margin). We find evidence of some fertility postponement and significant effects on completed fertility, but we see little evidence of a significant impact on marital behavior. Our results inform the public debate on fertility rates in settings with lowest-low fertility, such as Germany, during the period under investigation.
We empirically examine the effectiveness of EU Border carbon adjustment (BCA) in the context of BRI, by developing a hypothetical BCA scheme based on a multi-regional Input-Output model. We use various evaluation criteria such as sectoral coverage, economic condition of trade partners, compliance with trade regulations, and selection of Best Available Technology (BAT). Our analysis shows that the EU-BCA scheme covers 44% of the global traded emissions, of which 84% are generated in the BRI regions. However, the BAT principle and trade provisions reduce the coverage of BCA emissions for BRI regions, while assumptions about the carbon intensity of imports result in a further reduction. Our findings both cast serious doubt on BCA's ability to drive industrial decarbonisation and alleviate domestic producers' competitiveness concerns, and support the argument that EU-BCA may level the playing field for the EU's domestic market but may not address competitiveness concerns in other (non-EU) markets.
This paper assesses how national leaders’ quality of governance varies with their career and education. Using a sample of 1,000 rulers between 1931 and 2010, I identify three types of leaders: military leaders, academics, and politicians. Military leaders are associated with an overall negative performance, while politicians who have held important offices before taking power tend to perform well. Academics have on average non-significant effects. These results are partially driven by differences in policy decisions and in leadership styles. Military leaders spend less in health and education, are more likely to establish a personalistic regime, to disrespect the constitution, and to move towards a non-electoral regime, while the reverse holds for politicians. Additionally, this paper highlights the weakness of using educational attainment as a proxy for politicians’ quality, and of growth as a measure of national leaders’ performance.
This paper introduces a dataset that gathers information on whether and how Latin America and the Caribbean (LAC) have complied with or deviated from implemented fiscal rules. It provides annual data on fiscal rules for 14 LAC countries from 2000 to 2020, and it considers the design features of the rules and information about numerical compliance. It provides descriptive statistics reflecting the panorama of the fiscal rules implemented in LAC countries. Additionally, it calculates compliance rates across countries, years, and rules. On average, this study finds that compliance with rules aiming to constrain debt ratios and structural balances is the highest, while compliance with fiscal balance and expenditure rules is the lowest. Furthermore, the data collection process revealed that LAC countries still have room for discretion even when they subject their fiscal policy to rules. To address this problem, the paper proposes an adjusted compliance index that considers different elements that add degrees of discretion to the rule. The study finds that the numerical compliance rates of each country are likely to be over-estimated once discretionary actions are accounted for.
Sub-Saharan African countries experience various market failures and other constraints in food production, marketing, and food consumption. Consequently, sub-Saharan Africa governments have put in place a myriad of policies to counter these failures. Agricultural, food and nutrition policies address nutrition outcomes, such as hunger, undernourishment, wasting, stunting, child mortality, inadequate food consumption, food insecurity, and volatile food prices, thus improve nutrition outcomes among the population. However, malnutrition persists among the population in the region. To mitigate this challenge, informed, evidence-based policy development and implementation by policy practitioners is of essence. The solutions to the double burden of undernutrition and obesity cut across the agriculture, rural development, and public health sectors. This essay introduces twenty papers of this Special Issue of the Food Policy journal which analyzes 8 policy domains, contributes to the debate on the linkages and pathways through which policies influence food security, nutrition outcomes, and related indicators and points to policy directions in these domains.
Taking advantage of an original firm-level survey carried out by the Banque de France, we empirically investigate how the employment of ICT specialists (in-house and external) and the use of digital technologies (cloud and big data) have an impact on firm productivity and labor share. Our analysis relies on the survey responses in 2018 of 1,065 French firms belonging to the manufacturing sector and with at least 20 employees. To tackle potential endogeneity issues, we adopt an instrumental variable approach as proposed by Bartik (1991, Who Benefits from State and Local Economic Development Policies? Kalamazoo, MI: W.E. Upjohn Institute for Employment Research.). The results of our cross-section estimations point to a large effect: ceteris paribus, the employment of ICT specialists and the use of digital technologies improve a firm’s labor productivity by about 23% and its total factor productivity by about 17%. Conversely, the employment of in-house ICT specialists and the use of big data both have a detrimental impact on labor share, of about 2.5 percentage points respectively.
We provide an estimate of the environmental impact of the recruitment system in the economics profession, known as the “international job market for economists”. Each year, most graduating PhDs seeking jobs in academia, government, or companies participate in this job market. The market follows a standardized process, where candidates are pre-screened in a short interview which takes place at an annual meeting in Europe or in the United States. Most interviews are arranged via a non-profit online platform, econjobmarket.org, which kindly agreed to share its anonymized data with us. Using this dataset, we estimate the individual environmental impact of 1057 candidates and one hundred recruitment committees who attended the EEA and AEA meetings in December 2019 and January 2020. We calculate that this pre-screening system generated the equivalent of about 4800 tons of avoidable CO2-eq and a comprehensive economic cost over €4.4 million. We contrast this overall assessment against three counterfactual scenarios: an alternative in-person system, a hybrid system (where videoconference is used for some candidates) and a fully online system (as it happened in 2020–21 due to the COVID-19 pandemic). Overall, the study can offer useful information to shape future recruitment standards in a more sustainable way.
This paper proposes a new empirical conceptualization of financial integration of sovereign bond markets in the euro area. We introduce a methodology based on the joint testing of the assumptions of efficient market and convergence/divergence of the yield spreads. We test these assumptions by proposing parametric and non-parametric techniques. We find that markets have been more fragmented than usually advocated in the literature. We also show that the information contained in the fundamentals are not always fully reflected in the spreads, which suggests that either they have insignificant effects, or that their coefficients in the spread equations appear with the wrong sign.
The public acceptability of a policy is an important issue in democracies, in particular for anti-COVID-19 policies, which require the adherence of the population to be applicable and efficient. Discrete choice experiment (DCE) can help elicit preference ranking among various policies for the whole population and subgroups. Using a representative sample of the French population, we apply DCE methods to assess the acceptability of various anti-COVID-19 measures, separately and as a package. Owing to the methods, we determine the extent to which acceptability depends on personal characteristics: political orientation, health vulnerability, or age. The young population differs in terms of policy preferences and their claim for monetary compensation, suggesting a tailored policy for them. The paper provides key methodological tools based on microeconomic evaluation of individuals’ preferences for improving the design of public health policies.
We analyze the integration of intermittent renewables-based technologies into an electricity mix comprising of conventional energy. Intermittency is modeled by a contingent electricity market and we introduce demand-side flexibility through the retailing structure. Retailers propose diversified electricity contracts at different prices, but in an insufficient number to cover intermittent production. These delivery contracts are modeled similarly to numeraire assets. We study the competitive equilibrium of the state-contingent wholesale electricity markets and the delivery contract markets. We also provide an analysis linking the delivery contracts to social welfare. Finally, we discuss the conditions under which changing the delivery contracts improve penetration of renewables and increases welfare. These provide useful insights for managing intermittency and achieving renewable capacity objectives.
