{"title":"Why Do Schooling and Experience Affect Workers’ Productivity on the Job So Differently Across Countries?","authors":"T. Breton","doi":"10.2139/ssrn.3908608","DOIUrl":"https://doi.org/10.2139/ssrn.3908608","url":null,"abstract":"Acemoglu, Johnson, and Robinson [2001] present evidence that colonies with inclusive and extractive institutions have grown at different rates since colonial times. I examine whether their findings are consistent with the estimated effects of schooling and experience on earnings over workers’ 40-45 year working lives in eight countries. I find that an additional year of schooling quickly raised young workers’ earnings in the U.S. and Britain and then had a declining effect over their working life. I find the opposite pattern in six former Spanish colonies where the initial effect of schooling was small and then rose steadily. The effect of experience on the job was also completely different, raising workers earnings by about 200% in the U.S. and Britain and by only 30% temporarily in the former Spanish colonies. I explain how the very different institutions and cultural characteristics in these countries cause these radically different effects on earnings.","PeriodicalId":448105,"journal":{"name":"ERN: Productivity (Topic)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116023996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-Product Firms, Factor Endowment and Trade Liberalization","authors":"T. Luong","doi":"10.2139/ssrn.3810004","DOIUrl":"https://doi.org/10.2139/ssrn.3810004","url":null,"abstract":"This paper develops a model of multi-product firms in the presence of different types of labor. I show that an increase in the supply of skilled labor has non- uniform impact on the firm scope: a rise in the number of skilled labor allows the highly productive firms to add more varieties into their product profile but has the less productive firms reduce their scope. The markets become more competitive which generates welfare gains. Under economic integration, countries gain in general but the problem of income distribution arises. In addition, in the imperfect labor market the model generates predictions regarding the trade patterns based on the country endowment. The predictions are consistent with Chinese export data in 2004.","PeriodicalId":448105,"journal":{"name":"ERN: Productivity (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116797143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Study on Soft Skill and Its Impact of Growth and Productivity in Service Industry","authors":"Dr.M.Sakthivel Murugan, T. Sujatha","doi":"10.2139/ssrn.3969590","DOIUrl":"https://doi.org/10.2139/ssrn.3969590","url":null,"abstract":"In Indian economy the demand for Soft skills is at boom. With special reference to service sector; communication skills, self - management, creativity, teamwork, leadership and customer services is highly required. Soft skills are directly influencing the growth of individuals in terms of employment and promotions as well as the industry in terms of revenue and expansion. The role of Soft skills is increasing gradually as the economy is moving towards expansion of service sector. Soft skills as a human capital plays a fundamental role in service sector industry. This research study has analyzed Soft skills role specifically in retail financial services. The study focuses on acknowledging the importance of Soft skills in services. For this purpose the information has been gathered from the industry experts from Life Insurance, General Insurance and Equity. Analysis of various job sites and the earlier research studies in the similar direction has been done. The present study is an attempt to make an in depth analysis of the impact of Soft skills on the rapidly growing selected industries of service sector. The study is confined to selected services in the city of Chennai. <br>","PeriodicalId":448105,"journal":{"name":"ERN: Productivity (Topic)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115531727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel A. Ackerberg, G. Frazer, Kyoo il Kim, Yao Luo, Yingjun Su
{"title":"Under-Identification of Structural Models Based on Timing and Information Set Assumptions","authors":"Daniel A. Ackerberg, G. Frazer, Kyoo il Kim, Yao Luo, Yingjun Su","doi":"10.2139/ssrn.3717757","DOIUrl":"https://doi.org/10.2139/ssrn.3717757","url":null,"abstract":"We revisit identification based on timing and information set assumptions in structural models, which have been used in the context of production functions, demand equations, and hedonic pricing models (e.g. Olley and Pakes (1996), Blundell and Bond (2000)). First, we demonstrate a general under-identification problem using these assumptions, illustrating this with a simple version of the Blundell-Bond dynamic panel model. In particular, the basic moment conditions can yield multiple discrete solutions: one at the persistence parameter in the main equation and another at the persistence parameter governing the regressor. Second, we propose possible solutions based on sign restrictions and an augmented moment approach. We show the identification of our approach and propose a consistent estimation procedure. Our Monte Carlo simulations illustrate the underidentification issue and finite sample performance of our proposed estimator. Lastly, we show that the problem persists in many alternative models of the regressor but disappears in some models under stronger assumptions.","PeriodicalId":448105,"journal":{"name":"ERN: Productivity (Topic)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121554948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Regulatory Growth on Operating Costs","authors":"Richard F. Fullenbaum, Tyler Richards","doi":"10.2139/ssrn.3697453","DOIUrl":"https://doi.org/10.2139/ssrn.3697453","url":null,"abstract":"We investigate the effect of recent regulatory growth on operating costs per unit of output across a variety of US industries. Using an Augmented Mean Group estimator approach, we find that regulations in the current year and four to five years prior have statistically significant upward effects on operating costs per unit of output. This suggests that the most pronounced effects of regulations occur when a regulation is passed and when compliance dates arrive. Our results imply that the average level of annual regulatory growth (3.55 percent) increases operating costs per unit of output by 3.3 percentage points per year relative to a baseline of no regulatory growth.","PeriodicalId":448105,"journal":{"name":"ERN: Productivity (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128697342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Motivating Employees with Goal-Based Prosocial Rewards","authors":"L. Berger, Lan Guo, Adam Presslee","doi":"10.2139/ssrn.3102576","DOIUrl":"https://doi.org/10.2139/ssrn.3102576","url":null,"abstract":"A recent trend in organizations is to motivate employees with goal-based prosocial rewards, whereby employees must donate their reward to charities upon goal attainment. We conduct an experiment to examine the motivational effects of goal-based prosocial rewards versus goal-based cash rewards, and whether these effects depend on the goal difficulty. We find that when employees are assigned a difficult goal such that the probability of goal attainment is low, goal-based prosocial rewards motivate greater effort than cash rewards. Further, we find that decreasing goal difficulty attenuates the motivational advantage of goal-based prosocial rewards over cash rewards. Our study contributes to the understanding of why and when affect-rich rewards such as prosocial rewards can be more motivating than traditional cash rewards. Our results also suggest that compensation system designers can benefit from using goal-based prosocial rewards when employees face difficult performance goals.","PeriodicalId":448105,"journal":{"name":"ERN: Productivity (Topic)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115479895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quit Turbulence and Unemployment","authors":"Isaac Baley, Lars Ljungqvist, T. Sargent","doi":"10.2139/ssrn.3661231","DOIUrl":"https://doi.org/10.2139/ssrn.3661231","url":null,"abstract":"Steven Weinberg (2018) says: <br><br>(1) new theories that target new observations should be constrained to agree with observations successfully represented by existing theories; and <br><br>(2) preserving successes of earlier theories helps to discover unanticipated understandings of yet other phenomena. <br><br>Weinberg’s advice helps us to answer the question: how do higher risks of skill losses coinciding both with involuntary layoffs (“layoff turbulence”) and with voluntary quits (“quit turbulence”) affect equilibrium unemployment rates? An earlier analysis that had included only layoff turbulence had established a positive relationship between turbulence and the unemployment rate within generous welfare states, but the absence of that relationship in countries with stingier welfare states. A subsequent influential analysis found that even very small amounts of quit turbulence would lead to a negative relationship between turbulence and unemployment rates. But that finding was based on a peculiar calibration of a productivity distribution that generates returns to labor mobility that make the model miss the positive turbulence-unemployment rate relationship that has been a theoretical basis for explaining the persistent trans-Atlantic unemployment divide that emerged in post-1970s data and also miss observations about labor market churning. Repairing the faulty calibration of that productivity distribution not only brings models with quit turbulence into line with those observations but also puts the spotlight on macro-labor calibration strategies and implied returns to labor mobility.","PeriodicalId":448105,"journal":{"name":"ERN: Productivity (Topic)","volume":"23 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114045477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beyond Beta-Convergence: Convergence in Differences and its Application to the Russian Regions","authors":"Gianni Carvelli","doi":"10.5539/IJEF.V12N10P45","DOIUrl":"https://doi.org/10.5539/IJEF.V12N10P45","url":null,"abstract":"The purpose of this paper is to propose a new empirical model capable of highlighting some aspects of cross-economy convergence which cannot be caught by the popular beta-convergence and sigma-convergence models. The idea is to analyse the growth of the economies as a function of the distance between the observed output per capita and the average output per capita within the sample, separating the behaviour of poorest and richest economies. After its specification, I applied the model to the case of the Russian regions over the period 1995-2015 using the fixed-effect estimator. The results show that, although the existence of a significant beta-convergence process, there is a lack of convergence in differences. When the differences between regional and national output per capita are negative, a positive and significant relationship between growth and levels emerges. Such a relationship turns to be negative and non-significant when the differences are positive, therefore denoting weak non-linearity between growth rate and level of output per capita. Similar findings have been found for labor productivity.","PeriodicalId":448105,"journal":{"name":"ERN: Productivity (Topic)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127181468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Learning Where to Drill: Drilling Decisions and Geological Quality in the Haynesville Shale","authors":"M. Agerton","doi":"10.2139/ssrn.3583149","DOIUrl":"https://doi.org/10.2139/ssrn.3583149","url":null,"abstract":"We often link increasing productivity in resource extraction to innovation in how firms extract. Yet resource quality - where firms extract - is a key driver of productivity. Using a structural model and data from Louisiana's Haynesville shale, I disentangle the impacts of how and where firms extract natural gas. Mineral lease contracts, learning about geology, and prices actually explain more than half of growth in output per well not just technological change. Neglecting this may lead to over-optimistic long-run supply forecasts. I also show that growth in output per well masked large distortions caused by mineral lease contracts, which reduced resource rents.","PeriodicalId":448105,"journal":{"name":"ERN: Productivity (Topic)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133881670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CEO Age and Firm Innovation: Evidence from IT Industry in Korea","authors":"Jeongdae Yim, Minju Kang","doi":"10.2139/ssrn.3570338","DOIUrl":"https://doi.org/10.2139/ssrn.3570338","url":null,"abstract":"This paper investigates the relationship between CEO age and firm innovation measured as innovation productivity (i.e., the number of patent applications) and innovation scope (i.e., technological proximity). Using a sample of 11,194 firm-year observations from the Korean stock markets for the sample period of 2002−2016, we document that a firm’s innovation productivity or innovation scope decreases in CEO age. We also report that younger CEOs in IT firms are more likely to participate in firm innovation than those in non-IT firms. Our main results are robust in Tobit, Poisson, and negative binomial regressions, in specification of CEO-fixed effect models, and in estimating new sample constructed by a propensity score matching. Taken together, younger CEOs in IT firms may be more motivated to signal their innovativeness to the market to be regarded as outstanding innovators or adventurous innovators, which supports managerial signaling hypothesis for young CEOs.","PeriodicalId":448105,"journal":{"name":"ERN: Productivity (Topic)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114752238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}