Documents de travail
Large-scale analyses to map interactions between financial health at the sectoral level are still scarce. To fill the gap, in this paper, I map a network of predictive relationships across the financial health of several sectors. I provide a new advanced indicator to track propagation of financial distress across industries and countries on a monthly basis. I use defaults on trade credit as a measure of firms’ worsening financial conditions in a sector. To control for omitted-variable bias, I apply a high- dimensional VAR analysis, and isolate direct cross-sector causalities `a la Granger from common exposure to macroeconomic shocks or to third-sector shock. I show that monitoring some key sectors–among which construction, wholesale and retail, or the automotive sector–can improve the detection of financial distress in other sectors. Finally, I find that those financial predictive relationships correlates with the input-output structure in the considered economies. Such structure of financial interactions reflect the propagation of financial distress along the supply chain.
The existence of a peak at 49 employees in the firm size distribution in France, followed by a permanent decrease in the number of firms has been the starting point of political discourses and academic studies on the cost of size-dependent regulations at 50-employee. These features of the distribution are visible when firm size is declared by employers in fiscal data but not when it is reconstructed from individual-level social security data. This working paper explores these differences both from statistical and institutional viewpoints. It provides evidence showing that a large proportion of employers manipulate the firm size they declare in their fiscal documents. This manipulation generates the particular shape of the size distribution in the fiscal data. We discuss the rationale for such behavior: the key point is that the under-declaration in fiscal data is not subject to substantial sanctions and it can allow firms not to comply with the labor law. Event studies and comparisons of firms below and above the 50-employee threshold suggest that this threshold may only have limited effects on firm performance or growth potential. Consequently the welfare costs of the regulations at 50-employee might be smaller than what was found by some of the studies that assume a perfect compliance with the law.
We provide a novel way to correct the effective reproduction number for the time-varying amount of tests, using the acceleration index as a simple measure of viral spread dynamics (Baunez et al., 2021). Not doing so results in the reproduction number being a biased estimate of viral acceleration and we provide a formal decomposition of the resulting bias, involving the useful notions of test and infectivity intensities. When applied to French data for the COVID-19 pandemic (May 13-November 19, 2020), our decomposition shows that the reproduction number, when considered alone, consistently underestimates the resurgence of the pandemic since the summer of 2020, compared to the acceleration index which accounts for the time-varying volume of tests. Because the acceleration index aggregates all relevant information and captures in real time the sizable time variation featured by viral circulation, it is a more parsimonious indicator to track the dynamics of an infectious disease outbreak in real time, compared to the equivalent alternative which would be to complement the reproduction number with the test and infectivity intensities.
We argue that market forces shaped the geographic distribution of upper-tail human capital across Europe during the Middle Ages, and contributed to bolstering universities at the dawn of the Humanistic and Scienti c Revolutions. We build a unique database of thousands of scholars from university sources covering all of Europe, construct an index of their ability, and map the academic market in the medieval and early modern periods. We show that scholars tended to concentrate in the best universities (agglomeration), that better scholars were more sensitive to the quality of the university (positive sorting) and migrated over greater distances (positive selection). Agglomeration, selection and sorting patterns testify to an integrated academic market, made possible by the use of a common language (Latin).
The interest rate at which US firms borrow funds has two features: (i) it moves in a countercyclical fashion and (ii) it is an inverted leading indicator of real economic activity: low interest rates today forecast future booms in GDP, consumption, investment, and employment. We show that a Kiyotaki-Moore model accounts for both properties when interest-rate movements are driven, in a significant way, by self-fulfilling belief shocks that redistribute income away from lenders and to borrowers during booms. The credit-based nature of such self-fulfilling equilibria is shown to be essential: the dynamic correlation between current loanable funds rate and future aggregate economic activity depends critically on the property that the interest rate is state-contingent. Bayesian estimation of our benchmark DSGE model on US data shows that the model driven by redistribution shocks results in a better fit to the data than both standard RBC models and Kiyotaki-Moore type models with unique equilibrium.
Belgian and Swiss media regularly interfere during French elections by releasing exit polls before polling stations close. These foreign media profit from a law forbidding the same behavior by their French counterparts to receive large inflows of web visits from France. We exploit the unusual timing and degree of confidence with which exit polls were released in the second round of the 2017 presidential elections to investigate their effect on voter turnout. Our analysis is based on comparing turnout rates at different times on the election day, in the first and second round, and with respect to previous elections. We find a significant decrease in turnout of around 3 to 4 percentage points after the exit polls' publication which is suggestive of a causal effect, although similar trends were observed in previous elections. The effect is stronger in departments close to the Belgian border shortly after the release of the exit polls. We do not find clear evidence that either candidate benefited from the decrease in turnout, yet we cannot exclude the presence of a small underdog effect which reduced the winning margin by around 1 percentage point.
We introduce loss aversion into a model of conspicuous consumption in networks. Agents allocate their income between a standard good and a status good to maximize a Cobb-Douglas utility. Agents interact over a connected network and compare their status consumption to their neighbors' average consumption. Loss aversion has a profound impact. If loss aversion is large enough relative to income heterogeneity, a continuum of Nash equilibria appears and all agents consume the same quantity of status good. Otherwise, there is a unique Nash equilibrium and richest agents earn strict status gains while poorest agents earn strict status losses.
We contend that residential segregation should be an essential component of the analyses of socio-ethnic income gaps. Focusing on the contemporary White/African gap in South Africa, we complete Mincer wage equations with an Isolation index that reflects the level of segregation in the local area where individuals dwell. We decompose the income gap distribution into detailed composition and structure components. Segregation is found to be the main contributor of the structure effect, ahead of education and experience, and to make a sizable contribution to the composition effect. Moreover, segregation is found to be harmful at the bottom of the African income distribution, notably in relation to local informal job-search networks, while it is beneficial at the top of the White income distribution. Specific subpopulations are identified that suffer and benefit most from segregation, including for the former, little educated workers in agriculture and mining, often female, confined in their personal networks. Finally, minimum wage policies are found likely to attenuate most segregation’s noxious mechanisms, while a variety of policy lessons are drawn from the decomposition analysis by distinguishing not only compositional from structural effects, but also distinct group-specific social positions.
This chapter discusses facts, methods and empirical results that pertain to poverty measurement under income and price dispersions. The correlation of prices and living standards is examined, and its origins are considered, in terms of whether such origins are related to consumer preferences, economic interactions and market imperfections.
Then, the relationship of price dispersion and aggregate social indicators - including poverty measures - is analysed by combining stochastic hypotheses about prices and incomes with normative properties of social and poverty indicators.
Finally, empirical results about how dispersed heterogeneous price indices affect poverty measurement, anti-poverty targeting and poverty-alleviation price reforms are reviewed.
We study a two-period one-to-one dynamic matching environment in which agents meet randomly and decide whether to match early or defer. Crucially, agents can match with either partner in the second period. This "recall" captures situations where, e.g., a firm and worker can conduct additional interviews before contracting. Recall has a profound impact on incentives and on aggregate outcomes. We show that the likelihood to match early is nonmonotonic in type: early matches occur between the good-but-not-best agents. The option value provided by the first-period partner provides a force against unraveling, so that deferrals occur under small participation costs.
What patterns of economic relations arise when people are altruistic rather than strategically self-interested? This paper introduces an altruism network into a simple model of choice among partners for economic activity. With concave utility, agents effectively become inequality averse towards friends and family. Rich agents preferentially choose to work with poor friends despite productivity losses. Hence, network inequality-the divergence in incomes within sets of friends and family-is key to how altruism shapes economic relations and output. Skill homophily also plays a role; preferential contracts and productivity losses decline when rich agents have poor friends with requisite skills.
State awards to civilians are a widespread social phenomenon across space and time. This paper quantifies the impact of State awards given to Directors on the stock value of their firms. We link a comprehensive dataset of recipients of the Légion d'honneurthe most prestigious official award in France-over the 1995-2019 period to Board positions in French listed firms. We document large abnormal returns in the stocks of recipients' firms at the date of the award, suggesting that awards signal valuable access to policy-makers. This interpretation is corroborated by the absence of any market reaction for recipients who were already identified before award receipt as being close to the Government.