Foreign direct investment and its impact on real wages: evidence from Turkish micro-level data

This paper analyzes the role of foreign direct investment (FDI) on wages, using Turkish firm-level data from 2003 to 2010, a period which coincides with significant FDI inflows both in manufacturing and service sector firms in the region. We explore the possibility of increased foreign presence translating into shifts in either labor demand or supply curves thereby resulting in changing the total wage bill or wage per worker in the host country. To empirically test this relationship we employ a dynamic specification of the wage equation. After addressing endogeneity concerns, the results reveal that foreign presence measured in terms of intra- and inter-sectoral linkages is related to higher wage bills in the host economy, hence strengthening the argument for attracting greater foreign investment to enhance labor welfare.     

The impact of health on wages: Evidence from the British Household Panel Survey

While income is generally considered an important determinant of health, little evidence has been offered on the reverse relationship, particularly for developed economies. This paper considers the effect of self-assessed general and psychological health on hourly wages using longitudinal data from six waves of the British Household Panel Survey. We employ single equation fixed effects and random effects instrumental variable estimators suggested by Hausman and Taylor (1981), Amemiya and MaCurdy (1986), and Breusch, Mizon and Schmidt (1989). Our results show that reduced psychological health reduces the hourly wage for males, while excellent self-assessed health increases the hourly wage for females. We also find the health variables to be positively correlated with the time-invariant individual effect. Further, we confirm the findings of previous work which suggested that the majority of the efficiency gains from the use of the instrumental variables estimators fall on the time-invariant endogenous variables, in our case academic attainment, and add further support to the hypothesis of a negative correlation between educational attainment and individual characteristics which affect wages. First version received: January 2000/Final version received: October 2000     

The effect of legal status on immigrant wages and occupational skills

Native and foreign-born workers with a high school degree or less education work in different types of occupations. This article exploits the 1986 Immigration Reform and Control Act to examine whether legal status causes immigrants to work in occupations that use skills similar to those of natives. Legal status decreases the manual skill intensity of immigrants’ occupations by about two percentiles. It increases communication skill intensity by a similar amount. This reduces the skill gap between Mexican-born and native-born American workers by 11–15%.     

多指标面板数据聚类的 SAS实现

基于多指标面板数据聚类的理论,以全国31个省市的城市化水平为例,介绍利用SAS编程实现此聚类方法的过程,结果表明,该SAS程序显示了良好的应用性,为多指标面板数据聚类的实现提供了参考和依据。     

A panel data test for poverty traps

This article develops a threshold panel data nonlinearity test for poverty traps. The new testing strategy extends the work on nonlinearity tests for panel data by considering threshold nonlinearities in the fixed-effects components. Monte Carlo simulations are conducted to evaluate the finite-sample performance of these tests. The tests are applied to the relationship between Gross Domestic Product (GDP) per capita and capital stock per capita. Our application to a panel of countries for the period 1973 to 2007 uncovers the presence of two regimes determined by the level of capital stock per capita. The conclusions from our test also support the existence of a poverty trap determined by a capital stock per capita level at the 11% quantile of its pooled worldwide distribution.     

Mexican real wages and the U.S. economy

This article examines real wage determinants from 1996 to 2014 across Mexican states. Real wages are determined in equilibrium by combining labor supply (years of education and population growth) and labor demand (mostly external factors) forces. Panel data models provide two main results. First, years of education and U.S. real GDP appear to be reliable predictors of wages in fixed effects models, with very marked changes after the U.S. 2008–2009 financial crisis and stronger effects on northern Mexican states. Second, dynamic panels confirm the role of foreign forces: positive from the U.S. economy and negative from the real exchange rate.     

Migration and Wage‐setting: Reassessing the Labor Market Effects of Migration*

In this paper we employ a wage‐setting approach to analyze the labor market effects of immigration into Germany from 1980 to 2004. This enables us to consider labor market rigidities, which are prevalent in Europe. We find that the elasticity of the wage‐setting curve is particularly high for young workers. Moreover, natives and foreigners are imperfect substitutes. The wage and employment effects of immigration depend on the skill structure of the immigrant workforce. Because the foreign labor supply shift has mainly affected the high‐skilled labor market segment, the 4 percent increase of the workforce through immigration has not increased either aggregate or foreign unemployment.     

Robotization and labour dislocation in the manufacturing sectors of OECD countries: a panel VAR approach

Robots are the most important innovation which has affected the production process in the last three decades. Thanks to the latest advances in technology, they have been able to perform an ever-increasing number of tasks, eventually replacing human work within the whole production process. However, because of the scarcity of suitable data, the extent of this potentially disrupting process is not fully assessed. This paper makes up for the lack of empirical evidence on the effect of robotization on labour dislocation using data collected by the International Federation of Robotics (IFR) on the number of robots installed in the different manufacturing industries of 16 OECD countries over the period 2011–2016. We show that at the industry level a 1% growth in the number of robots reduces the growth rate of worked hours by 0.16, as well as the selling prices and the real values of the compensations of employees. Moreover, we show that a given sector is more likely to be robotized when it is expanding both in terms of relative prices and employee compensations. We conclude that, at least in the selected countries, the introduction of robots plays a key role in slowing down human labour and compensation growth.     

最低工资标准的就业效应研究--基于30个省际面板数据的实证分析

通过构建一个由最低工资标准等因素共同决定的劳动力就业函数,从理论层面分析最低工资标准提升等因素对城镇劳动力就业的影响。同时基于中国2004_2011年的省际面板数据,引入技术进步、城镇化、老年抚养比等指标,运用面板分位数回归方法进行实证分析。综合比较来看：现阶段最低工资标准提升与城镇劳动力就业呈显著正相关关系,而技术进步对城镇劳动力就业的影响不能一概而论,具有不确定性。其他控制变量如城镇化发展有利于提高城镇劳动力就业,而老年抚养比、对外开放度的提高却与城镇劳动力就业呈负相关关系。其对策含义为：要充分考虑相关因素对劳动力就业的冲击,理清不同地区、不同企业类型以及不同性别可能存在的有差异的劳动力就业效应,主张通过就业政策和劳动力市场制度的进一步完善,实现劳动力更加充分的就业。     

Outreach and performance of microfinance institutions: a panel analysis

Using a panel of 764 microfinance institutions (MFIs) from 87 countries, this study analyses the possible trade-off between outreach and performance and shows that greater depth of outreach has a positive impact on the financial performance of an MFI. The empirical results of this study should dispel the widely held apprehension that the recent emphasis on attainment of financial sustainability by the MFIs could seriously impair their outreach efforts and shows that outreach to the poor can actually bolster financial performance.     

Do social exclusion and remoteness explain the digital divide in Australia? Evidence from a panel data estimation approach

ABSTRACT

Despite rapid digital development in the past two decades, the remote parts of Australia still experience disadvantages with the adoption and diffusion of digital technology. As the adoption of information and communication technology continues to increase at a significant rate, investigating the underlying factors of the digital divide in general and also in the context of social exclusion in Australia is pertinent. The current study fills the gap in the existing body of knowledge by exploring the effect of socio-demographic factors and remoteness on the digital divide landscape with a country-specific focus on Australia. Using state-wide longitudinal data covering the 1998–2015 period within the panel data estimation framework, this study finds that digital divide is significantly associated with socio-demographic factors and remoteness in Australia. Moreover, the findings affirm that in addition to telecommunication infrastructure development, policymakers should also underscore socio-demographic factors in shaping digital inclusion strategies.     

Reservation wages, market wages and unemployment: Analysis of individual level panel data

Using individual level panel data, we analyse the divergence between the reservation wages of individuals who are out of work and their predicted market wages, focusing upon identifying the factors that influence the potential divergence. In addition, using propensity score matching techniques, we explore the implications of such divergences for future employment and wages. Our findings suggest that having reservation wages that are high relative to the predicted market wage influence both future employment and future wages.     

Risk attitudes and reservation wages of unemployed workers: Evidence from panel data

This paper studies risk attitudes of unemployed job seekers and their relationship to self-reported reservation wages. We find that risk aversion is prevalent, and that reservation wages decrease slightly over time. Furthermore, risk aversion and reservation wages are negatively correlated.     

Employer-supported training in Canada and its impact on mobility and wages

Using information on job histories and on two training questions contained in Statistics Canada's Follow-Up to the School Leavers Survey, this paper seeks to answer three basic questions: 1) what are the characteristics of the trainees?; 2) Does the receipt of employer-supported training cause an increase in the wage paid to those young workers?; and 3) Does it improve the degree of job attachment?; I find that more educated young people are somewhat more likely to be trained than high school dropouts although there is strong evidence of selectivity as employers clearly seem to support training for those that have the most “favorable” characteristics. Also, controlling for unobserved individual characteristics, I find that training has a sizeable wage impact for men while the effect is much more modest for women. Finally, results using Chamberlain (1985) fixed-effects hazard model show that the conditional probability of the employment relationship being terminated decreases substantially for trainees, which is consistent with the notion that the skills learned by trainees may have a sizeable firm-specific component. First version received: October 2000/Final version received: February 2002  I would like to thank Nathalie Viennot-Briot for excellent research assistance, as well as Claude Montmarquette and an anonymous referee for useful comments and suggestions. Financial support from Human Resources Development Canada is gratefully acknowledged.     

Parental education and wages: Evidence from China

This paper investigates the relationship between parents’ education and children’s wage using two nationally representative data sets in China. Controlling for other things, both father’s and mother’s education are positively correlated with children’s wage. Nevertheless, returns to father’s education are lower in more market-oriented segments of the economy, including coastal regions, the non-state sector, and the later period of the reform era (post-1992), while the opposite is true for mother’s education. We argue that this new empirical evidence is consistent with the story that father’s education mainly indicates family connections useful for locating a better-paying first job, while mother’s education primarily captures unmeasured ability.     

Estimating three-dimensional nonlinear panel data models with interactive effects

This article considers two three-step estimation approaches to three-dimensional nonlinear panel data models with interactive effects correlated with the independent variables. We propose a Nonlinear Least Squares-Principal Component Analysis-Grid Search iterated approach to estimate the static model, and a GMM-PCA-GS iterated method to the dynamic model. Monte Carlo experiments examine the finite sample performance of the methods.     

Value added,wages and labour market flows at the establishment level

In this article, we analyse the connection between value added, wages and labour market flows at the establishment level. We develop a simple model to illustrate the expected comovement of these variables. For the empirical analysis, we link the new German Administrative Wage and Labor Market Flow Panel data set to the IAB Establishment Panel. We show that establishments’ hires rates have a positive and separations rates a negative comovement with establishment-specific value added, whereby hires react by more than separations. In addition, we provide evidence that establishments’ partial equilibrium reaction is an important driver for aggregate labour market dynamics.     

Technological progress and scientific indicators: a panel data analysis

Total factor productivity (TFP) is generally interpreted to be a proxy for technological advancement. In this paper, we use stochastic frontier analysis to decompose the growth in TFP into three components: technological progress, scale effect and change in technical efficiency. Then, we conduct a comprehensive panel data analysis using the technological progress component of the TFP growth and several scientific and technological indicators using data from 160 countries over the period from 1960 to 2009. Our results generally show that the technological progress component of the TFP growth properly reflects certain dimensions of actual scientific and technological progress. However, we also find that this result is somewhat sensitive to different econometric specifications and assumptions.     

The heterogeneous regional effects of minimum wages in Poland

We evaluate the impact of large minimum wage hikes on employment and wage growth in Poland between 2004 and 2018. We estimate panel data models utilizing the considerable variation in wage levels, and in minimum wage bites, across 73 Polish NUTS 3 regions. We find that minimum wage hikes had a significant positive effect on wage growth and a significant negative effect on employment growth only in regions of Poland that were in the first tercile of the regional wage distribution in 2007. These effects were moderate in size, and appear to be more relevant for wages. Specifically, if the ratio of minimum wage to average wage had remained constant after 2007, by 2018, the average wages in these regions would have been 3.2% lower, while employment would have been 1.2% higher. In the remaining two-thirds of Polish regions, we find no significant effects of minimum wage hikes on average wages or on employment.