Capitalism and Freedom

We explain the proliferation of panel data studies in terms of (i) data availability, (ii) the more heightened capacity for modeling the complexity of human behavior than a single cross-section or time series data can possibly allow, and (iii) challenging methodology. Advantages and issues of panel data modeling are also discussed.

/pdf/panel-data-analysis-advantages-and-challenges-2wr3o9v4tl.pdf

Panel data analysis—advantages and challenges

: One use of spectral analysis of time series is to determine if two different time series are realizations from the same process This thesis develops the theory behind Krishnaiah and Schuurmann's theoretical work reported in their report Approximations to the Distributions of the Traces of Complex Multivariate Beta and F Matrices We take the trace of a test statistic calculated from the spectral density matrices of the time series and test it The thesis applies the theory to two small sample simulations (Author)

Spectral Analysis of Time Series.

Será que a desigualdade de rendimentos aumentou durante os últimos tempos? Quem ganhou e quem perdeu neste processo? Este processo afectou todos os países da OCDE uniformemente? Em que medida é que maiores desigualdades de rendimentos são a consequência de maiores diferenças nos rendimentos dos trabalhadores e até que ponto são afectados por outros factores? Finalmente, como é que a redistribuição governamental através do sistema de benefícios fiscais afecta estas tendências?

Book Review: OECD, Growing Unequal? Income Distribution and Poverty in OECD Countries:

In their widely cited study, Shavit and Blossfeld report stability of socioeconomic inequalities in educational attainment over much of the 20th century in 11 out of 13 countries. This article outlines reasons why one might expect to find declining class inequalities in educational attainment, and, using a large data set, the authors analyze educational inequality among cohorts born in the first two-thirds of the 20th century in eight European countries. They find, as expected, a widespread decline in educational inequality between students coming from different social origins. Their results are robust to other possible choices of method and variables, and the authors offer some explanations of why their findings contradict Shavit and Blossfeld's conclusions.

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Nonpersistent inequality in educational attainment: evidence from eight European countries.

We show that, when measuring inequality of opportunity with survey data, scholars face two types of biases. A well-known downward-bias, due to partial observability of cir- cumstances that affect individual outcome, and an upward bias, which is the consequence of sampling variance. The magnitude of the latter distortion depends on both the empirical strategy used and the observed sample. We suggest that, although usually neglected in em- pirical contributions, the upward bias may be significant. We propose a simple criterion to select the best specification which balances between the two sources of bias. Our method is based on cross validation and can be easily implemented to survey data. In order to show how this method can improve our understanding of the inequality of opportunity measure- ment, we provide an empirical illustration based on income data of 26 European countries. Our evidence shows that estimates of inequality of opportunity are extremely sensitive to model selection. Alternative specifications lead to significant differences in the absolute level of inequality of opportunity and to a number of substantial countriesâ re-ranking. This in turn clarifies the need of an objective criterion to select the best econometric model when measuring inequality of opportunity.

/pdf/upward-and-downward-bias-when-measuring-inequality-of-3ldgvdlqd7.pdf

Upward and downward bias when measuring inequality of opportunity

We employ a two-step approach in investigating the dynamic transmission channels under which globalization factors foster technical efficiency by combining a dynamic efficiency analysis in the stochastic frontier framework, and a time series approach based on VAR and spectral analysis. Using the dataset of the 18 EU countries over 1970–2004, we find that both import and FDI are significant factors in spreading efficiency externalities and thus accelerating technology catch-up in the EU. In particular, the impacts of the import are more prominent in the short-run while those of FDI play a more important role over the longer-run. Furthermore, the impacts of the import are pro-cyclical only in the short-run whereas those of FDI are pro-cyclical mostly over the medium- to the long-run. This evidence is broadly consistent with the sample observation that the recent slowdown of the EU productivity has been closely related to the corresponding FDI decline especially after 2000. Hence, any protection-oriented policy will be likely to be more detrimental for the EU.

/pdf/globalisation-and-technological-convergence-in-the-eu-3btl2cqfzg.pdf

Globalisation and technological convergence in the EU

We show that, when measuring inequality of opportunity with survey data, scholars incur two types of biases. A well-known downward-bias, due to partial observability of circumstances that affect individual outcome, and an upward bias, which depends on the econometric method used and the quality of the available data. We suggest a simple criterion to balance between the two sources of bias based on cross validation. An empirical application, based on 26 European countries, shows the usefulness of our method.

This article studies the distribution of well-being and, specifically, the degree of poverty and deprivation in Albania, in the years 2002 and 2005, using Living Standard Measurement Surveys (LSMS). The distribution analysis is performed by applying both one-dimensional and multidimensional approaches, in particular to better examine the link between economic growth, inequality and poverty in Albania. Furthermore, by estimating a non-monetary indicator, as proposed by Bossert et al. (2007), and a nonlinear principal component model together with a probit model, the paper focuses on the multidimensional measures of poverty to address the relationship between poverty and socio-economic factors. Our evidence shows that absolute poverty decreased from 2002 to 2005 while national relative poverty increased; economic growth reduced poverty in Albania over the observed period; and living in rural and mountain areas, being female, poorly educated and with a large family increased the probability of suffering from deprivation.

https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=2488227

Poverty, inequality and growth in Albania

We employ a two-step approach in investigating the dynamic transmission channels under which globalization factors foster technical efficiency by combining a dynamic efficiency analysis in the stochastic frontier framework, and a time series approach based on VAR and spectral analysis. Using the dataset of the 18 EU countries over 1970-2004, we find that both import and FDI are significant factors in spreading efficiency externalities and thus accelerating technology catch-up in the EU. In particular, the impacts of the import are more prominent in the short-run while those of FDI play a more important role over the longer-run. Furthermore, the impacts of the import are pro-cyclical only in the short-run whereas those of FDI are pro-cyclical mostly over the medium- to the long-run. This evidence is broadly consistent with the sample observation that the recent slowdown of the EU productivity has been closely related to the corresponding FDI decline especially after 2000. Hence, any protection-oriented policy will be likely to be more detrimental for the EU.

/pdf/globalisation-and-technological-convergence-in-the-eu-s77tr34pgl.pdf

Laura Serlenga

Papers

Upward and downward bias when measuring inequality of opportunity

Globalisation and technological convergence in the EU

Upward and downward bias when measuring inequality of opportunity

Poverty, inequality and growth in Albania

Globalisation and Technological Convergence in the EU