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Exploring skill distribution tails through stochastic dominance 通过随机优势探索技能分布尾部
IF 2.1 3区 经济学
Journal of Applied Econometrics Pub Date : 2024-04-01 DOI: 10.1002/jae.3043
Petra Besenhard
{"title":"Exploring skill distribution tails through stochastic dominance","authors":"Petra Besenhard","doi":"10.1002/jae.3043","DOIUrl":"10.1002/jae.3043","url":null,"abstract":"<div>\u0000 \u0000 <p>Location choices of differently skilled workers are analyzed in previous work on labor mobility, which proposes a model that suggests thicker tails in the skill distributions of large cities. This paper replicates the empirical findings of this work by using quantile regression and density plots as employed in the existing study, while also suggesting an alternative testing method for thick tails in the form of an initial stochastic dominance test. The test reveals clear evidence of a thicker lower tail, but the results are less clear for the upper tail, which raises some questions on how to best handle extreme upper tails of skill distributions.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140582404","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}
引用次数: 0
Re-examining the relationship between patience, risk-taking, and human capital investment across countries* 重新审视各国耐心、冒险和人力资本投资之间的关系*
IF 2.1 3区 经济学
Journal of Applied Econometrics Pub Date : 2024-03-31 DOI: 10.1002/jae.3045
Alexandra de Gendre, Jan Feld, Nicolás Salamanca
{"title":"Re-examining the relationship between patience, risk-taking, and human capital investment across countries*","authors":"Alexandra de Gendre,&nbsp;Jan Feld,&nbsp;Nicolás Salamanca","doi":"10.1002/jae.3045","DOIUrl":"10.1002/jae.3045","url":null,"abstract":"<p>Hanushek et al. (2022) show that students in countries in which people are more patient and less risk-taking perform better in the Programme for International Student Assessment (PISA) test. In this paper, we probe the robustness of this study. Our narrow replication shows that most of the results are robust to alternative model specifications. Our broad replication shows that the main results are robust to measuring student performance with data from the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS) instead of PISA.</p>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jae.3045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140582759","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}
引用次数: 0
Estimating the price elasticity of gasoline demand in correlated random coefficient models with endogeneity 在具有内生性的相关随机系数模型中估算汽油需求的价格弹性
IF 2.1 3区 经济学
Journal of Applied Econometrics Pub Date : 2024-03-28 DOI: 10.1002/jae.3042
Michael Bates, Seolah Kim
{"title":"Estimating the price elasticity of gasoline demand in correlated random coefficient models with endogeneity","authors":"Michael Bates,&nbsp;Seolah Kim","doi":"10.1002/jae.3042","DOIUrl":"10.1002/jae.3042","url":null,"abstract":"<div>\u0000 \u0000 <p>We propose a per-cluster instrumental variable (PCIV) approach for estimating linear correlated random coefficient models in the presence of contemporaneous endogeneity and two-way fixed effects. This approach estimates heterogeneous effects and aggregates them to population averages. We demonstrate consistency, showing robustness over standard estimators, and provide analytic standard errors for robust inference. In Monte Carlo simulation, PCIV performs relatively well in finite samples in either dimension. We apply PCIV in estimating the price elasticity of gasoline demand using state fuel taxes as instrumental variables. We find significant elasticity heterogeneity and more elastic gasoline demand on average than with standard estimators.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140368966","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}
引用次数: 0
Hours worked and the US distribution of real annual earnings 1976–2019 1976-2019 年工作时数与美国实际年收入分布
IF 2.1 3区 经济学
Journal of Applied Econometrics Pub Date : 2024-03-25 DOI: 10.1002/jae.3039
Iván Fernández-Val, Aico van Vuuren, Francis Vella, Franco Peracchi
{"title":"Hours worked and the US distribution of real annual earnings 1976–2019","authors":"Iván Fernández-Val,&nbsp;Aico van Vuuren,&nbsp;Francis Vella,&nbsp;Franco Peracchi","doi":"10.1002/jae.3039","DOIUrl":"10.1002/jae.3039","url":null,"abstract":"<div>\u0000 \u0000 <p>We examine the impact of annual hours worked on annual earnings by decomposing changes in the real annual earnings distribution into composition, structural, and hours effects. We do so via a nonseparable simultaneous model of hours, wages, and earnings. Using the Current Population Survey for the survey years 1976–2019, we find that changes in the female distribution of annual hours of work are important in explaining movements in inequality in female annual earnings. This captures the substantial changes in their employment behavior over this period. Movements in the male hours' distribution only affect the lower part of their earnings distribution and reflect the sensitivity of these workers' annual hours of work to cyclical factors.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140300086","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}
引用次数: 0
Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties 空间计量经济模型的最佳线性和二次矩，应用于美国各县就业增长的空间相互依存模式
IF 2.1 3区 经济学
Journal of Applied Econometrics Pub Date : 2024-03-16 DOI: 10.1002/jae.3046
Fei Jin, Lung-fei Lee, Kai Yang
{"title":"Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties","authors":"Fei Jin,&nbsp;Lung-fei Lee,&nbsp;Kai Yang","doi":"10.1002/jae.3046","DOIUrl":"10.1002/jae.3046","url":null,"abstract":"<div>\u0000 \u0000 <p>We provide a novel analytic procedure to construct best linear and quadratic moments of the generalized method of moments estimation for a large class of cross-sectional network and spatial econometric models. These moments generate an estimator that is asymptotically more efficient than the quasi-maximum likelihood estimator when the disturbances follow a non-normal and unknown distribution. We apply this procedure to a high-order spatial autoregressive model with spatial errors, where the disturbances are heteroskedastic. Two normality tests of disturbances are developed. We apply the model to employment data in US counties, which demonstrates spatial interdependence patterns of regional employment growth.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140154245","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}
引用次数: 0
Statistical identification in panel structural vector autoregressive models based on independence criteria 基于独立性标准的面板结构向量自回归模型的统计识别
IF 2.1 3区 经济学
Journal of Applied Econometrics Pub Date : 2024-03-13 DOI: 10.1002/jae.3044
Helmut Herwartz, Shu Wang
{"title":"Statistical identification in panel structural vector autoregressive models based on independence criteria","authors":"Helmut Herwartz,&nbsp;Shu Wang","doi":"10.1002/jae.3044","DOIUrl":"10.1002/jae.3044","url":null,"abstract":"<p>This paper introduces a novel panel approach to structural vector autoregressive analysis. For identification, we impose independence of structural innovations at the pooled level. We demonstrate robustness of the method under cross-sectional correlation and heterogeneity through simulation experiments. In an empirical application on monetary policy transmission in the Euro area, we find that bond spreads rise significantly after an unexpected monetary tightening. Furthermore, the central bank responds to offset effects of adverse financial shocks. Additionally, we document sizable heterogeneity in country-specific output responses.</p>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jae.3044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140154303","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}
引用次数: 0
Bayesian collapsed Gibbs sampling for a stochastic volatility model with a Dirichlet process mixture 针对具有德里赫特过程混合物的随机波动模型的贝叶斯折叠吉布斯采样
IF 2.1 3区 经济学
Journal of Applied Econometrics Pub Date : 2024-03-10 DOI: 10.1002/jae.3040
Frank C. Z. Wu
{"title":"Bayesian collapsed Gibbs sampling for a stochastic volatility model with a Dirichlet process mixture","authors":"Frank C. Z. Wu","doi":"10.1002/jae.3040","DOIUrl":"10.1002/jae.3040","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper replicates the results of the stochastic volatility–Dirichlet process mixture (SV-DPM) models proposed in Jensen and Maheu (2010) in both a narrow and a wide sense. By using a normal-Wishart prior and the collapsed Gibbs sampling method, our algorithm can be applied for more general settings, and it is more efficient for sampling the Dirichlet process mixture. For the stochastic volatility component, we adopt the method in Chan (2017) to further increase the overall efficiency of our algorithm. Using the same dataset, we obtain mixed results. Some of the results have significant differences. If we use recent time period dataset, which includes the COVID-19 pandemic period, the log market portfolio volatility seems to increase in terms of the number of clusters and size of magnitude.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140099306","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}
引用次数: 0
US fiscal policy shocks: Proxy-SVAR overidentification via GMM 美国财政政策冲击：通过 GMM 进行代理-SVAR 过度识别
IF 2.1 3区 经济学
Journal of Applied Econometrics Pub Date : 2024-03-06 DOI: 10.1002/jae.3038
Allan W. Gregory, James McNeil, Gregor W. Smith
{"title":"US fiscal policy shocks: Proxy-SVAR overidentification via GMM","authors":"Allan W. Gregory,&nbsp;James McNeil,&nbsp;Gregor W. Smith","doi":"10.1002/jae.3038","DOIUrl":"10.1002/jae.3038","url":null,"abstract":"<div>\u0000 \u0000 <p>Using external instruments, one can recover the effects of individual shocks without fully identifying a vector autoregression (VAR). We show that fully or almost fully instrumenting a VAR—that is, using an instrument for each shock—allows one to overidentify the model by incorporating the condition that the structural shocks are uncorrelated, via the generalized method of moments (GMM). We apply our approach to a fiscal VAR for the United States over 1948–2019, where the overidentifying restrictions are not rejected. The overidentified structural vector autoregression (SVAR) yields (a) greater precision in estimating impulse response functions and multipliers and (b) measures of the effects of nonfiscal shocks even when there is no instrument for them.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140055221","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}
引用次数: 0
Should we trust cross-sectional multiplier estimates? 我们应该相信横截面乘数估计值吗？
IF 2.1 3区 经济学
Journal of Applied Econometrics Pub Date : 2024-03-05 DOI: 10.1002/jae.3041
Fabio Canova
{"title":"Should we trust cross-sectional multiplier estimates?","authors":"Fabio Canova","doi":"10.1002/jae.3041","DOIUrl":"10.1002/jae.3041","url":null,"abstract":"<div>\u0000 \u0000 <p>I examine the properties of cross-sectional estimators of multipliers, elasticities, or pass-throughs when a conventional spatial macroeconomic specification generates the data. A number of important biases plague standard estimates; the most relevant one occurs when the units display heterogeneous dynamics. Methods that work well in this situation are suggested. An experimental setting shows the magnitude of the biases cross-sectional estimators display. Average estimates of local fiscal multipliers in the US states are compared and contrasted.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140055223","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}
引用次数: 0
A flexible stochastic production frontier model with panel data 采用面板数据的灵活随机生产前沿模型
IF 2.1 3区 经济学
Journal of Applied Econometrics Pub Date : 2024-03-01 DOI: 10.1002/jae.3033
Taining Wang, Feng Yao, Subal C. Kumbhakar
{"title":"A flexible stochastic production frontier model with panel data","authors":"Taining Wang,&nbsp;Feng Yao,&nbsp;Subal C. Kumbhakar","doi":"10.1002/jae.3033","DOIUrl":"10.1002/jae.3033","url":null,"abstract":"<div>\u0000 \u0000 <p>We propose a flexible stochastic production frontier model with fixed effects for the panel data in which the semiparametric frontier is additive with bivariate interactions. To avoid potential misspecification and/or “wrong skew problem” due to distributional assumptions, we model the conditional mean of the inefficiency to depend on environmental variables and to be known up to a vector of parameters. We propose a difference-based estimator for parameters characterizing the conditional mean of the inefficiency term, a profile series estimator, and a kernel-based one-step backfitting estimator for the frontier to facilitate inference. We establish their asymptotic properties and show that each component in the frontier estimated by the kernel-based backfitting has the same asymptotic distribution as the one estimated with the true knowledge on the other components in the frontier (i.e., the oracle property). Through a Monte Carlo study, we demonstrate that the proposed estimators perform well in finite samples. Utilizing a panel of Chinese firm-level data in 2000–2006, we apply our method to estimate the frontier and efficiency scores and conclude that export plays a significant role in reducing the efficiency of firms.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140090084","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}
引用次数: 0
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