Publications

Abstract This paper examines how two smoking-related parental health shocks affect offspring smoking behavior depending on the timing of the health shock. A descriptive analysis restricted to individuals whose parents were diagnosed with lung cancer or another smoking-related cancer suggests different smoking behaviors depending on the age of the individual at diagnosis. We build a retrospective panel and use individual fixed effects to control for the endogeneity of the timing of the diagnosis and to neutralize the intergenerational transmission effect in smoking behaviors. Doing so, we aim at evaluating the extent to which a parental diagnosis acts as an informational shock and affects offspring behavior by bringing salient information about the health hazards of smoking. We find that receiving a parental diagnosis reduces the long-term probability of being a smoker. This effect is driven by individuals receiving the parental diagnosis at the age when the decision to smoke is about to be made. The informational shock effect associated with lung cancer appears systematically stronger than the informational shock effect associated with other smoking-related cancers.
Keywords Smoking, Health shocks, Intergenerational transmission
Publication HAL Google Scholar
Abstract This paper shows that the negative effect of geographical distance on knowledge flows stems from how firms gain sources of knowledge through their existing network. We start by documenting two stylized facts. First, in aggregate, the distance elasticity of patent citations flows is sizable and has remained constant since the 1980s, despite the rise of the internet. Second, at the micro level, firms’ network of knowledge sources expands through existing knowledge sources. We introduce a framework featuring the latter phenomenon, and generating a negative distance elasticity in aggregate. The model predicts Pareto-distributed innovator sizes, and citation distances increasing with innovator size. These predictions hold well empirically. We investigate changes of the underlying parameters and geographical composition effects over the period. While the distance effect should have decreased with constant country composition, the rise of East Asian economies, associated to large distance elasticities, compensated lower frictions in other countries.
Keywords Knowledge diffusion, Innovation networks, Spatial frictions, Patent citations
Publication HAL Google Scholar
Abstract This short paper provides U.S. state-level evidence regarding the effects of trade policy uncertainty on the labor market. We show that a higher exposure to trade policy uncertainty generates a contraction in total hours worked at the state level. The extensive margins of labor is the primary margin of employment adjustment. State-level employment is more strongly impacted by trade policy uncertainty in goods-producing industries, and more particularly in the durable goods industry. States which are more specialized in goods industries, when they face higher uncertainty, tends to postpone hiring by more, which explains the drop in total employment.>
Keywords Uncertainty shocks, Tariffs, Labor Market
Publication HAL Google Scholar
Abstract Allowing risk preferences to depend on the correlation between lottery outcomes can explain behavioral anomalies, while empirical evidence is limited and mixed. Using the framework of correlation sensitivity, we classify preferences into three types and adapt a choice task to categorize subjects. Experiments show that aggregate choices exhibit correlation sensitivity opposite to regret and salience theory predictions. Clustering analysis reveals that a correlation-sensitive minority drives these patterns, while most subjects display no sensitivity. We further disentangle deliberate within-state comparisons from incidental payoff comparisons, finding that both contribute to correlation sensitivity, with deliberate comparisons exerting slightly stronger effects.
Keywords Regret theory, Salience theory, Experiment, Correlation effects, Choice under risk
Publication HAL Google Scholar
Abstract Lack of high-quality value per statistical life (VSL) studies in low- and middle-income countries have been recognized by scholars and analysts in the benefit-cost analysis field for decades. However, progress has been slow in addressing it. We estimated VSL in China using a stated-preference survey in the context of reducing mortality risks associated with COVID-19. The survey was administered in seven cities across China in 2022 with a purposive sampling approach, and consistency checks at different levels of stringency regarding willingness to pay (WTP) for mortality risk reductions of different magnitudes were used to screen respondents. The estimated VSL ranges from 8.0 million to 10.3 million Chinese Yuan, which is higher than previous estimates. Also previous studies found much higher VSL estimates from a subsample obtained with more stringent consistency check requiring that WTP be approximately proportional to the magnitude of mortality risk reduction, we did not find such a difference with our dataset. In addition, based on our anlaysis, respondents in first-tier cities such as Beijing, Shanghai and Guangzhou have higher VSL than those in second-tier cities such as Changchun, Chengdu, Wuhan and Xi’an; the VSL-age relationship shows a U-shaped pattern; and the collective experience of city lockdown has a negative impact on VSL. Other factors which were found to influence VSL include education, sector of work, health status, risk perception, behaviors (physical exercises, wearing face masks, getting vaccinated), knowledge, political identity, and trust in government.
Keywords Willingness to pay, Mortality risk reductions, Value per statistical life VSL, Value per statistical life, Vsl, COVID-19
Publication HAL Google Scholar
Abstract Many studies suggest that employees of social enterprises experience greater job satisfaction than employees of for‐profit organizations, although their pay and employment contracts are usually less favorable. Based on linked employer–employee data from a French survey on employment characteristics and industrial relations and using a decomposition method developed by Gelbach (2016), this paper aims to explain this somewhat paradoxical result. Focusing on work organization variables, we show that the specific work organization of social enterprises explains a large part of the observed job satisfaction differential both in general and more specifically, in terms of satisfaction with access to training and working conditions. By detailing the components of work organization, the higher job satisfaction reported by employees in social enterprises stems from their greater autonomy and better access to information. In contrast to earlier studies, however, our results show that these work organization variables do not have more value for social enterprise employees than for for‐profit organization employees in the case of overall job satisfaction. This result casts doubt on the widespread hypothesis that social enterprise employees attach more weight to the nonmonetary advantages of their work than their counterparts in for‐profit organizations.
Publication HAL Google Scholar