A semiparametric analysis of calorie response to income change across income groups and gender

This paper estimates the relationship between calorie intake and income within a semiparametric framework, which allows for heterogeneity across individuals and possible nonlinearity in the relationship. The results, using a panel data set from rural south India, indicate that the income elasticity of calorie intake is small but is nonzero and statistically significant, and that the elasticity is higher for the relatively poor households in the sample. The semiparametric analysis also brings out some interesting patterns of calorie response to income change at different income levels for males and females.     

The effect of diplomatic representation on trade: A panel data analysis

This study addresses current gaps in the empirical literature regarding the effect of diplomatic representation on trade using a panel data set for 100 countries with 5‐year interval data from 1985 to 2005 and four‐digit level industry data. The results indicate that the effect of diplomatic representation on exports in differentiated goods is positive and significant and larger than on exports in homogeneous goods on average, but not statistically different from it. Furthermore, diplomatic representation only increases trade along the extensive margin and not along the intensive margin. The results indicate that diplomatic representation is effective in performing its function as a network search intermediary and that it is a useful policy tool to alleviate market failure.     

Modelling purchase patterns on the basis of incomplete and biased consumer purchase diary and UPC panel data

This study proposes a new approach for the analysis and prediction of product class and brand purchase patterns. The approach is designed to specifically consider data consisting of incomplete and biased purchase histories that may result from diary or UPC panel samples. Alternative approaches are developed that are illustrated on the basis of actual panel diary data and statistical estimation procedures to describe and predict actual product class and brand purchase patterns. A sensitivity analysis demonstrates the potentially substantial errors that may result from the analysis of panel data in practice.     

Open trade and skilled and unskilled labor productivity in developing countries: A panel data analysis

Abstract

This paper examines the effect of trade openness on the productivity of skilled and unskilled labor in a group of 36 developing countries using panel data and fixed effect approach. We have developed and utilized an empirical model that readily lends itself to testing the hypothesis posed. Our results support the hypothesis that trade openness has a positive and significant impact on labor productivity for both skilled and unskilled labor in the sample countries. We also observe that the beneficial effect of trade openness is relatively stronger for the skilled labor than the unskilled labor. We conclude that contrary to the claim made by Mayda and Rodrik (2001 Mayda, A. M. and Rodrik, D. 2001. “Why are some people (and countries) more protectionist than others? A cross country analysis”. Mimeo: Harvard University.  [Google Scholar]), skilled workers in developing countries may oppose protectionism. When adjusting for the purchasing power parity, the impact of trade openness on labor productivity, although positive and significant, is not as pronounced as it is for other definitions of openness.     

Estimation of income elasticities from Lorenz concentration curves: application to Canadian micro‐data

This study uses a method of estimating income elasticities of major Canadian expenditure groups. The technique is based on the implicit Engel functions derived from the Lorenz curve of permanent income and concentration curves of group‐specific expenditures. The methodology is applied to The 1996 Canadian Family Expenditure Survey. Results indicate that income elasticities for the majority of the broad expenditure categories considered in the study are inelastic and they increase monotonically with income.     

波动与增长:1952年～2010年中国省际人均GDP面板数据检验

利用滤波技术提供的处理数据的优点,建立波动与增长计量经济学模型,以研究中国经济波动与经济增长的相关关系,并运用现代流行的图形分析和矩分析对研究结果进行检验和验证,认为在1979年以前,波动对增长有负的溢出效应;1979年～1990年作为改革开放政策的过渡期,在这段时间内各地区的波动与增长关系先后发生改变;1990年以后,波动对增长具有正的溢出效应.     

Modeling the correct level of analysis in non-aggregated household panel data: A simulation approach

Multilevel models can deal with nested structures in household panel data to derive unbiased regression coefficients and standard errors for predictors from multiple hierarchical levels, e.g., households, products, or stores. Within the framework of multilevel modeling, researchers can apply purely nested models or cross-classified random effects models (CCREM). This paper explains the partially cross-classified structure in household panel data. Simulation study 1 demonstrates that standard errors for level-two predictors are severely downward biased when applying a nested three-level model to partially crossed data. Furthermore, the hierarchical location of interactions between predictors associated with two crossed levels is explained. Simulation study 2 demonstrates that with unbalanced real-world data, both standard errors and regression coefficients for interaction-level predictors can be biased when the “artificial” random interaction level is omitted from a CCREM. The simulation studies are followed by a discussion of implications for the application of multilevel models to household panel data.     

Detecting learning‐by‐exporting effects on firms' productivity distribution by accounting for heterogeneous macrofactors and panel attrition

This paper aims to verify the presence of the learning‐by‐exporting effect on total factor productivity growth. The study starts, as is typical in this context, by addressing the pre‐entry selection bias at firm level but differs from the literature by focusing on the distribution of the outcome and considering the presence of the different influences of macroeconomic factors on exporters and non‐exporters. Additionally, the paper addresses the panel attrition, a current source of estimation bias in longitudinal studies. The analysis is based on a panel of Italian manufacturing firms in the 1998–2007 period. We design an experiment by aligning and pooling cohorts of firms that allow us to obtain a sufficiently large group of firms entering the international market. Our results show that internationalisation affects firms' productivity and that the effect is heterogeneous over total factor productivity distribution and larger for the firms at the bottom section of the distribution itself. Furthermore, we observe that the learning‐by‐exporting effect may be confounded without (a) considering that domestic and exporter firms may afford heterogeneous demand cycles and (b) managing the dropout of some firms from the panel.     

Functional income distribution,capacity utilization,capital accumulation and productivity growth in Turkey: A post-Kaleckian analysis

The aim of this article is to examine the relation between functional income distribution, capacity utilization, capital accumulation and productivity in Turkey by identifying demand and overall regimes prevalent in the economy. For this purpose, we conducted an empirical analysis using different specifications of the post-Kaleckian model of Hein and Tarassow. This model defines and characterizes an overall regime by endogenizing productivity growth and integrating it into the models in this tradition. Empirical findings show that while the demand regime is wage-led, the overall regime turns out to be unstable in Turkey due to the destabilizing impact of productivity growth. This article contributes to the literature by being the first study that simultaneously identifies the demand and the overall regimes of an economy.     

Determinants of small firm debt ratios: An analysis of retail panel data

In this paper, the relevance of some debt ratio determinants from the recent theory of finance is empirically investigated in a small business sector. The data used in this study consist of average financial data of 27 shoptypes in 20 different years, covering a period of 24 years. The panel character of the data facilitates the use of analytical techniques aimed at reducing or avoiding the biasing effect of omitted variables on the outcomes. The main conclusion is, that the theoretical determinants appear indeed to be relevant for the small business sector investigated here, but the influences encountered in the analyses are far less straightforward than the hypothesized effects in the theory. Influences on total debt are frequently found to be the net effects of opposite influences on long and short term debt and some variables show large time and industry specific effects. Further, distinct patterns in the time specific effects were found.     

The impact of branding on low‐income adolescents: A vicious cycle?

This study examines the impact of consumerism and consumer culture on low‐income British adolescents. Specifically, it investigates the effects of branding and advertising on the formation of selfconcept clarity (SCC) and consumer susceptibility to interpersonal influence (CSII). A comparative study was conducted between two groups, low‐ and high‐income teenagers, assessing SCC and CSII by means of quantitative scales. It was found that low‐income teenagers are less clear in their self‐concept and are more susceptible to interpersonal influence than their high‐income counterparts. A significant negative correlation between the two scales revealed that the less clear one's self‐concept is, the more susceptible one is to interpersonal influence. It is proposed that an inability to “keep up” with the latest fashion trends (due to restricted consumption opportunities) may result in a damaged self‐concept among low‐income teenagers, which leads to heightened susceptibility to consumption pressures and hence heightens the negative socio‐psychological impacts of living in poverty. The results of the study are reviewed in terms of branding, advertising, and consumer behavior and a proposed conceptual model of branding's impact on low‐income teenagers is presented as a “vicious cycle.” © 2008 Wiley Periodicals, Inc.     

Impact of family income in early life on the financial independence of young adults: Evidence from a matched panel data

This study investigates whether the family income level in early life influences the financial independence of young adults. Using a large nationally representative U.S. sample (constructed based on the data from the 1999 to 2015 Panel Study of Income Dynamics, its 2009 to 2015 Transition to Adulthood Supplement and its 1997 to 2007 Child Development Supplement), we find that the relationship between one's family income level during adolescence and the financial independence of young adults follows an inverted U‐shape. We find that the college graduation status plays an important role in determining the financial independence of young adults. Once young adults graduate from the college, their financial independence is no longer influenced by their family income level during adolescence. The results show similar patterns after controlling for cognitive and noncognitive abilities and financial behaviours of young adults when they were children or teenagers. The findings of this study have significant implications for policymakers and educators.     

North-South trade and directed technical change

In a world where poor countries provide weak protection for intellectual property rights (IPRs), market integration shifts technical change in favor of rich nations. Through this channel, free-trade may amplify international wage differences. At the same time, integration with countries where IPRs are weakly protected can slow down the world growth rate. An important implication of these results is that protection of intellectual property is most beneficial in open countries. This prediction, which is novel in the literature, is consistent with evidence from a panel of 53 countries observed in the years 1965-1990. The paper also provides empirical support for the mechanism linking North-South trade to the direction of technical change: an increase in import penetration from low-wage, low-IPRs countries is followed by a sharp fall in R&D investment in a panel of US manufacturing sectors.     

Trade openness,urbanization and CO2 emissions: Dynamic panel data analysis of middle-income countries

Using the Pooled Mean Group (PMG) approach of Pesaran, Shin, and Smith [1999. “Pooled Mean Group Estimation of Dynamic Heterogeneous Panels.” Journal of the American Statistical Association 94 (446): 621–634], this article attempts to empirically examine the heterogeneous effects of trade openness and urbanization on CO₂ emissions in 55 middle-income countries over the period from 1992 to 2012. We find that trade openness has a benign effect on the environment in the short run, but a harmful effect in the long run. Meanwhile, our results show that urbanization has a negative and significant impact on CO₂ emissions both in the short and long run, implying that urbanization improves environmental quality. The results are robust even after controlling for a number of factors such as economic or non-economic factors.     

科技创新竞争力的评价及聚类分析——基于31个省市自治区的面板数据

科技创新在我国经济高质量发展中处于核心地位,全面、科学地评估我国各省的科技创新竞争力对其迈入十四五时期至关重要。本文结合已有研究构建了科技创新竞争力的评价体系,并采用因子分析法对2019年我国31个省份(不含港澳台地区)做实证研究,得出各省份科技创新竞争力的排名后,结合聚类分析对其进行归类。研究表明我国各省份的科技创新竞争力差别较大,各省份在科技创新方面均存在一定的不足,针对这些不足提出相应的改进措施和建议,以期提高各省份的科技创新竞争力,促进我国经济高质量发展。     

Reconciling globalisation and technological change: Growing income inequalities and remedial policies

Since the mid-1970s wage inequality has increased sharply in OECD countries. Among the factors singled out by economists as possible major contributors to this development are economic globalisation processes and skill-biased technological change. Although these are most commonly considered as independent influences, the present authors argue, after critically outlining views about these factors, that strong interdependence exists between them. The article then examines potential policy responses to this growing inequality.     

A two‐sector neo‐Kaleckian model of growth and distribution: Investment allocation and evolutionary dynamics

This paper focuses on the two‐sector neo‐Kaleckian model of growth and distribution that was developed by Dutt (1990) and challenged by Park (1995). We develop a variant of this model, focusing on the supply‐side to solve the overdetermination problem that was raised by Park. Finally, we introduce evolutionary dynamics to model the investment flows between the capital and consumer goods sectors. In this setup, the sectoral profit rates and the size of capital stocks wield an essential role upon the entrepreneur’s decision on which sector to invest in. This model is perfectly determined and it generates a stable evolutionary equilibrium over the long term.     

Antecedents of patent value using exchange option models: Evidence from a panel data analysis

This paper examines the patent impact factor by an empirical study using panel data. To investigate the impact factor of patent value, this study conducts a sensitivity analysis of a patent evaluation model within the framework of a real option, while considering the uncertainties associated with both patent counts and the amount of R&D per patent, and develops an empirical analysis method for examining the impact factor of a patent using an unbalanced two-way fixed effects model. The empirical results indicate that the increase of patent value accords with the increase in the patent counts, volatility and patent lifetime. Although patent value declines with the amount of R&D per patent, the impact is not significant. However, reducing cost, raising patent counts and enhancing innovation efficiency offer a feasible method for a firm to increase patent value.     

混业经营下金融发展与经济增长——基于亚洲地区的非稳定面板数据分析

文章使用面板单位根与面板协整方法，实证研究混业经营条件下金融发展与经济增长的关系。研究表明：混业经营条件下金融发展与经济增长存在面板协整关系。即金融发展与经济增长有长期均衡关系；银行发展水平质量的提高与经济增长有显著正相关关系．然而银行发展水平数量的提高，阻碍经济增长；股票市场与经济增长有显著正相关关系，而且这种关系比较稳定。     

Consequences of the halloween nightmare: analysis of investorsõ response to an overnight tax legislation change in the canadian income trust sector

On October 31, 2006, the Canadian federal government announced increased taxation of income trusts, beginning in 2011. Using discounted cash flow analysis, we investigated timing of the market adjustment. Energy, utility, and business trust prices dropped by predicted amounts, indicating a rational market response. Following the announcement, however, affected sectors reacted differently: Energy and utility trusts were more likely to merge within their sectors while business trusts became private equity targets. The income trust case is a classic example of a natural event, and our results underscore the efficiency of Canadian capital markets. Copyright © 2010 ASAC. Published by John Wiley & Sons, Ltd.