{"title":"Quantiles of the gain distribution of an early childhood intervention","authors":"Erich Battistin, Carlos Lamarche, Enrico Rettore","doi":"10.1002/jae.3071","DOIUrl":"https://doi.org/10.1002/jae.3071","url":null,"abstract":"<div>\u0000 \u0000 <p>We investigate the distribution of gains among participants in the Infant Health and Development Program, an understudied randomized controlled trial that targets infants with low birth weight. Our primary focus is on assessing the effects in cognitive and health outcomes within distinct subgroups, which we define based on the outcomes that would occur in the absence of program participation. We propose a strategy to estimate the distribution of gains from the program by using anthropometrics measurements taken at birth, under the assumption that potential outcomes depend on underlying latent factors explaining neonatal health. Our findings reveal that the enhancements in cognitive and health outcomes at 36 months are not uniformly distributed among program participants. The variability in these effects can be attributed to several factors, including neonatal health, post-natal shocks, and family income.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142429997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Featured Cover","authors":"Michael Bates, Seolah Kim","doi":"10.1002/jae.3077","DOIUrl":"https://doi.org/10.1002/jae.3077","url":null,"abstract":"<p>The cover image is based on the Research Article <i>Estimating the price elasticity of gasoline demand in correlated random coefficient models with endogeneity</i> by Michael Bates and Seolah Kim https://doi.org/10.1002/jae.3042.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jae.3077","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Karim Bekhtiar, Benjamin Bittschi, Richard Sellner
{"title":"Robots at work? Pitfalls of industry-level data","authors":"Karim Bekhtiar, Benjamin Bittschi, Richard Sellner","doi":"10.1002/jae.3073","DOIUrl":"10.1002/jae.3073","url":null,"abstract":"<div>\u0000 \u0000 <p>In their seminal paper, Graetz and Michaels (2018) find that robots increase productivity, lower output prices, and adversely affect the share of low-skilled labor. We demonstrate that these effects are partly driven by the sample composition and argue that focusing on manufacturing industries yields more credible results regarding the overall economic effects of robotization. The results show that focusing on robotizing industries leads to a sizable drop of the productivity effects, halving the effect size for labor productivity. Pronounced consequences from the sample choice occur for wage effects that are reversed from significantly positive into significantly negative. Controlling for demographic workforce characteristics proves to be essential for the significant labor productivity effects and leads to the reversal for wages.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141384157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimating separable matching models","authors":"Alfred Galichon, Bernard Salanié","doi":"10.1002/jae.3061","DOIUrl":"https://doi.org/10.1002/jae.3061","url":null,"abstract":"<div>\u0000 \u0000 <p>Most recent empirical applications of matching with transferable utility have imposed a natural restriction: that the joint surplus be <i>separable</i> in the sources of unobserved heterogeneity. We propose here two simple methods to estimate models in this class. The first method is a minimum distance estimator that relies on the generalized entropy of matching. The second applies to the more special but popular Choo and Siow model, which reformulates as a generalized linear model with two-way fixed effects. Neither method requires solving for the stable matching. Both methods are easy to apply and perform very well.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142429270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The US structural transformation and regional convergence: Racial heterogeneity","authors":"Minki Kim, Munseob Lee","doi":"10.1002/jae.3074","DOIUrl":"10.1002/jae.3074","url":null,"abstract":"<p>Structural transformation and regional convergence in US income are both longstanding trends. Caselli and Coleman (2001) documented that 60% of regional convergence between the US South and North from 1940 to 1990 was due to structural transformation. Our replication confirms these robust findings. Examining black and white populations separately, we find the magnitude of regional income convergence was much larger for the black workers, and that structural transformation explains most regional income convergence for white workers but only 30% for black workers. Extending the analysis until 2020, however, we observe income convergence among black workers and divergence among white workers. Structural transformation's role in income convergence or divergence from 1990 to 2020 is negligible.</p>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jae.3074","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141271875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The shale oil boom and the US economy: Spillovers and time-varying effects","authors":"Hilde C. Bjørnland, Julia Skretting","doi":"10.1002/jae.3059","DOIUrl":"10.1002/jae.3059","url":null,"abstract":"<p>We provide new evidence that the transmission of oil price shocks to the US economy has changed with the shale oil boom. To show this, we develop a time-varying parameter factor-augmented vector autoregressive (FAVAR) model with a large data environment of state-level, industry, and aggregate US data. The model effectively captures potential spillovers between oil and non-oil industries, as well as variation over time. Specified in this way, we find that investment, income, industrial production, and (non-oil) employment in most oil-producing and some manufacturing-intensive US states increase following an oil-specific shock—effects that were not present before the shale oil boom.</p>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jae.3059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141102152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gloria González-Rivera, C. Vladimir Rodríguez-Caballero, Esther Ruiz
{"title":"Expecting the unexpected: Stressed scenarios for economic growth","authors":"Gloria González-Rivera, C. Vladimir Rodríguez-Caballero, Esther Ruiz","doi":"10.1002/jae.3060","DOIUrl":"10.1002/jae.3060","url":null,"abstract":"<p>We propose the construction of conditional growth densities under stressed factor scenarios to assess the level of exposure of an economy to small probability but potentially catastrophic economic and/or financial scenarios, which can be either domestic or international. The choice of severe yet plausible stress scenarios is based on the joint probability distribution of the underlying factors driving growth, which are extracted with a multilevel dynamic factor model (DFM) from a wide set of domestic/worldwide and/or macroeconomic/financial variables. All together, we provide a risk management tool that allows for a complete visualization of the dynamics of the growth densities under average scenarios and extreme scenarios. We calculate growth-in-stress (GiS) measures, defined as the 5% quantile of the stressed growth densities, and show that GiS is a useful and complementary tool to growth-at-risk (GaR) when policymakers wish to carry out a multidimensional scenario analysis. The unprecedented economic shock brought by the COVID-19 pandemic provides a natural environment to assess the vulnerability of US growth with the proposed methodology.</p>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jae.3060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141109879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sangyup Choi, Jaehun Jeong, Dohyeon Park, Donghoon Yoo
{"title":"News or animal spirits? Consumer confidence and economic activity: Redux","authors":"Sangyup Choi, Jaehun Jeong, Dohyeon Park, Donghoon Yoo","doi":"10.1002/jae.3070","DOIUrl":"10.1002/jae.3070","url":null,"abstract":"<div>\u0000 \u0000 <p>Barsky and Sims (2012, AER) demonstrated, via indirect inference, that confidence innovations can be viewed as noisy signals about medium-term economic growth. They highlighted that the connection between confidence and subsequent activity, such as consumption and output, is primarily driven by news shocks about the future. We expand upon their research by incorporating the Great Recession and ZLB episodes, during which animal spirits have a greater potential to influence economic activity. Nevertheless, we confirm the main finding of Barsky and Sims (2012) that this relationship is predominantly driven by news about the future rather than animal spirits.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141149058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Terrorism and education: Evidence from instrumental variables estimators","authors":"Marco Alfano, Joseph-Simon Görlach","doi":"10.1002/jae.3058","DOIUrl":"10.1002/jae.3058","url":null,"abstract":"<p>This paper estimates the effect of exposure to terrorist violence on education. Since terrorists may choose targets endogenously, we construct a set of novel instruments. To that end, we leverage exogenous variation from a local terrorist group's revenues and its affiliation with al-Qaeda. Across several Kenyan datasets, we find that attacks suppress school enrolment more than predicted by difference-in-differences-type estimators. This indicates that terrorists target areas experiencing unobserved, positive shocks. Evidence suggests fears and concerns as mechanisms of impact, rather than educational supply.</p>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jae.3058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140933639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nowcasting Euro area GDP with news sentiment: A tale of two crises","authors":"Julian Ashwin, Eleni Kalamara, Lorena Saiz","doi":"10.1002/jae.3057","DOIUrl":"10.1002/jae.3057","url":null,"abstract":"<p>This paper shows that newspaper articles contain signals that can materially improve real-time nowcasts of real GDP growth for the Euro area. Using articles from 15 popular European newspapers, which are machine translated into English, we create sentiment metrics that update daily and assess their value for nowcasting, comparing with competitive and rigorous benchmarks. We find that newspaper text is especially helpful early in the quarter before other indicators are available. We also find that general-purpose sentiment measures perform better than more economics-focused ones in response to unanticipated events and nonlinear supervised models can help capture extreme movements in growth but require sufficient training data to be effective.</p>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jae.3057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140933471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}