Download or read book Semiparametric Analysis of Inequality and Growth Using Panel Data written by Dustin Lee Chambers and published by . This book was released on 2004 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Nonparametric and Semiparametric Analysis on Inequality and Development written by Kui-Wai Li and published by . This book was released on 2015 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper studies the income inequality and economic development relationship by using unbalanced panel data of OECD and non-OECD countries (regions) for the period 1962-2003. The nonparametric estimation results show that income inequality in OECD countries is almost on the backside of the inverted-U relationship, while non-OECD countries are approximately on the foreside, except that the relationship in both country groups shows an upturn at a high level of development. Development has an indirect effect on inequality through control variables, but the modes are different in the two country groups. The model specification tests show that the relationship is not necessarily captured by the conventional quadratic function. The cubic and fourth-degree polynomials, respectively, fit the OECD and non-OECD country groups best. Our finding is robust regardless of whether the specification uses control variables. Development plays a dominant role in mitigating inequality.

Download or read book A Nonparametric and Semiparametric Analysis on the Inequality Development Relationship written by Kui-Wai Li and published by . This book was released on 2015 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper studies the income inequality and economic development relationship by using unbalanced panel data of OECD and non-OECD countries for the period 1962-2003. The nonparametric estimation results show that income inequality in OECD countries are almost on the backside of the inverted-U relationship, while non-OECD countries are approximately on the foreside, except that the relationship in both country groups shows an upturn at a high level of development. Development has an indirect effect on inequality through control variables, but the modes are different in the two groups. The model specification tests show that the relationship is not necessarily captured by the conventional quadratic function. The cubic and fourth-degree polynomials, respectively, fit the OECD and non-OECD country groups best. Our finding is robust regardless whether the specification uses control variables. Development plays a dominant role in mitigating inequality.

Download or read book Inequality and Development written by xianbo zhou and published by . This book was released on 2015 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evidences from nonparametric and semiparametric unbalanced panel data models with fixed effects show that Kuznets' inverted-U relationship is confirmed when economic development reaches a threshold. The model tests justify semiparametric specification. The integrated net contribution of control variables to inequality reduction is significant.

Download or read book Essays on the Determinants of Income and Wealth Inequality in the United States written by Shin Chang and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study investigates the relevant factors that drive income and wealth inequality in the United States with the aim of facilitating a better understanding of the dynamic relationships between inequality and key macroeconomic variables. This can serve as a prerequisite to the ability of policymakers to restrain the negative externalities associated with increasing inequality and implement measures to reduce the unexpected effects. The thesis consists of five independent papers corresponding to five chapters. As economic growth is a primary goal of every country and widely accepted tool for reducing economic inequality, our study starts with economic growth. The first paper examines the relationship between the U.S. per capita real GDP and income inequality over the period 1917 to 2012. The literature uncovers a complex set of interactions, which depends on the specific research method and sample, between inequality and economic growth and highlights the difficulty of capturing a definitive causal relationship. Inequality either promotes, retards, or does not affect growth. Most existing studies that examine the inequality-growth nexus exclusively utilize time-domain methods. We use wavelet analysis which allows the simultaneous examination of correlation and causality between the two series in both the time and frequency domains. We find robust evidence of positive correlation between the growth and inequality across frequencies. Yet, directions of causality vary across frequencies and evolve with time. In the time-domain, the time-varying nature of long-run causalities implies structural changes in the two series. These findings provide a more thorough picture of the relationship between the U.S. per capita real GDP and inequality measures over time and frequency, suggesting important implications for policy makers. Inflation targeting is a monetary policy where the central bank sets a specific inflation rate as its goal. The federal government spurs economic growth by adding liquidity, credit, and jobs to the economy and inflation stimulate the demand needed to drive economic growth. The second paper investigates the effects of the inflation rate on income inequality to see whether monetary policy and the resulting inflation rate can affect income inequality and improve the well-being of individuals. Our analysis relies on a cross-state panel for the United States over the 1976 to 2007 period to assess the relationship between income inequality and the inflation rate, employing a semiparametric instrument variable (IV) estimator. By using cross-state panel data, we minimize the problems associated with data comparability often encountered in cross-country studies related to income inequality. We find that the relationship depends on the level of the inflation rate. A positive relationship occurs only if the states exceed a threshold level of the inflation rate. Below this value, inflation rate lowers income inequality. The results suggest that a nonlinear relationship exists between income inequality and the inflation rate. The researchers also examine the relationship between income inequality and growth in personal income, since personal income exerts a large effect on consumer consumption, and since consumer spending drives much of the economy. The third paper investigates the causal relationship between personal income and income inequality in a panel data of 48 states for the period of 1929-2012. Although inequality rose almost everywhere between 1980 to present, some states and regions experienced substantially greater increases in inequality than did others. The decentralization allows different state level of policies, however, there is also a cross-state consistency in how those policies respond to the main economic shocks. Since U.S. states are subject to significant spatial effects given their high level of integration, ignoring cross-sectional dependency may lead to substantial bias and size distortions. We employ a causality methodology proposed by Emirmahmutoglu and Kose (2011), as it takes into account possible slope heterogeneity and cross-sectional dependency in a multivariate panel. Evidence of bi-directional causal relationship exists for several inequality measures -- the Atkinson Index, Gini Coefficient, the Relative Mean Deviation, TheiliÌ8℗¿℗ưs entropy Index and Top 10% -- but no evidence of the causal relationship for the Top 1 % measure. Also, this paper finds state-specific causal relationships between personal income and inequality. The level of development of the United States is related to the sophistication of the financial structure which influences the ability to hedge against shocks and to loosen spending constraints. It leads us to investigate if the financial development affects income inequality in the U.S. In the fourth paper, we look into the role of financial development on U.S. state-level income inequality in a panel data of 50 states from 1976 to 2011. To our knowledge, this paper is the first regarding examining the role of financial development on U.S. state-level inequality. We analyze the data using Fixed Effect and Dynamic Fixed Effect regression. We also divide 50 states into two groups-states, with higher inequality measure and states with lower inequality measures than average of the cross-state average of the inequality, to examine the possible nonlinear impact of financial development on income inequality. We find robust results whereby financial development linearly increases income inequality for the 50 states. When we divide 50 states into two separate groups of higher and lower inequality states than the cross-state average inequality, the effect of financial development on income inequality appears non-linear. When financial development improves, the effect increases at an increasing rate for high income inequality states, whereas an inverted U-shaped relationship exists for low-income inequality states.

Download or read book Inequality and Growth written by Theo S. Eicher and published by MIT Press. This book was released on 2007-01-26 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even minute increases in a country's growth rate can result in dramatic changes in living standards over just one generation. The benefits of growth, however, may not be shared equally. Some may gain less than others, and a fraction of the population may actually be disadvantaged. Recent economic research has found both positive and negative relationships between growth and inequality across nations. The questions raised by these results include: What is the impact on inequality of policies designed to foster growth? Does inequality by itself facilitate or detract from economic growth, and does it amplify or diminish policy effectiveness? This book provides a forum for economists to examine the theoretical, empirical, and policy issues involved in the relationship between growth and inequality. The aim is to develop a framework for determining the role of public policy in enhancing both growth and equality. The diverse range of topics, examined in both developed and developing countries, includes natural resources, taxation, fertility, redistribution, technological change, transition, labor markets, and education. A theme common to all the essays is the importance of education in reducing inequality and increasing growth.

Download or read book Innovation and Inequality written by Susan Cozzens and published by Edward Elgar Publishing. This book was released on 2014-05-30 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Susan Cozzens, Dhanaraj Thakur, and the other co-authors ask how the benefits and costs of emerging technologies are distributed amongst different countries _ some rich and some poor. Examining the case studies of five technologies across eight countri

Download or read book The SAGE Handbook of Regression Analysis and Causal Inference written by Henning Best and published by SAGE. This book was released on 2013-12-20 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.

Download or read book Is Inequality Harmful for Growth written by Torsten Persson and published by . This book was released on 1991 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is inequality harmful for growth? We suggest that it is. To summarize our main argument: in a society where distributional conflict is more important, political decisions are more likely to produce economic policies that allow private individuals to appropriate less of the returns to growth promoting activities, such as accumulation of capital and productive knowledge. In the paper we first formulate a theoretical model that formally captures this idea. The model has a politico-economic equilibrium, which determines a sequence of growth rates depending on structural parameters, political institutions, and initial conditions. We then confront the testable empirical implications with two sets of data. A first data set pools historical evidence-which goes back to the mid 19th century-from the US and eight European countries. A second data set contains post-war evidence from a broad cross-section of developed and less developed countries. In both samples we find a statistically significant and quantitatively important negative relation between inequality and growth. After a comprehensive sensitivity analysis, we conclude that our findings are not distorted by measurement error, reverse causation, hetroskedasticity, or other econometric problems.

Download or read book Analysis of Change written by Uwe Engel and published by Walter de Gruyter. This book was released on 2012-05-07 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Panel Data Econometrics written by Mike Tsionas and published by Academic Press. This book was released on 2019-06-20 with total page 1011 pages. Available in PDF, EPUB and Kindle. Book excerpt: Panel Data Econometrics: Empirical Applications introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illuminate applications for a variety of fields, such as banking, financial markets, tourism and transportation, auctions, and experimental economics. Contributors emphasize techniques and applications, and they accompany their explanations with case studies, empirical exercises and supplementary code in R. They also address panel data analysis in the context of productivity and efficiency analysis, where some of the most interesting applications and advancements have recently been made. Provides a vast array of empirical applications useful to practitioners from different application environments Accompanied by extensive case studies and empirical exercises Includes empirical chapters accompanied by supplementary code in R, helping researchers replicate findings Represents an accessible resource for diverse industries, including health, transportation, tourism, economic growth, and banking, where researchers are not always econometrics experts

Download or read book Econometrics and Income Inequality written by Martin Biewen and published by MDPI. This book was released on 2018-11-26 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Econometrics and Income Inequality" that was published in Econometrics

Download or read book Essays in Honor of Cheng Hsiao written by Dek Terrell and published by Emerald Group Publishing. This book was released on 2020-04-15 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Including contributions spanning a variety of theoretical and applied topics in econometrics, this volume of Advances in Econometrics is published in honour of Cheng Hsiao.

Download or read book Panel Data Econometrics written by Mike Tsionas and published by Academic Press. This book was released on 2019-06-19 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Panel Data Econometrics: Theory introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illuminate applications for a variety of fields, such as banking, financial markets, tourism and transportation, auctions, and experimental economics. Contributors emphasize techniques and applications, and they accompany their explanations with case studies, empirical exercises and supplementary code in R. They also address panel data analysis in the context of productivity and efficiency analysis, where some of the most interesting applications and advancements have recently been made. Provides a vast array of empirical applications useful to practitioners from different application environments Accompanied by extensive case studies and empirical exercises Includes empirical chapters accompanied by supplementary code in R, helping researchers replicate findings Represents an accessible resource for diverse industries, including health, transportation, tourism, economic growth, and banking, where researchers are not always econometrics experts

Download or read book Trade and Inequality written by Pinelopi K. Goldberg and published by Edward Elgar Publishing. This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research review brings together the most influential theoretical and empirical contributions to the topic of trade and inequality from recent years. Segregating the subject into four key areas, it forms a comprehensive study of the subject, targeted at academic readers familiar with the main trade models and empirical methods used in economics. The first two parts cover empirical evidence on trade and inequality in developed and developing countries, while the third and fourth sections confront transition dynamics following trade liberalization and new theoretical contributions inspired by the previously-discussed empirical evidence, respectively. Presented with an extensive original introduction by the editor, Trade and Inequality will be an invaluable tool in the study of this field to advanced undergraduate students, graduate students and faculty alike.

Download or read book Proceedings of the Fifteenth International Conference on Management Science and Engineering Management written by Jiuping Xu and published by Springer Nature. This book was released on 2021-07-30 with total page 871 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the fifteenth International Conference on Management Science and Engineering Management (ICMSEM 2021) held on August 1-4, 2021, at the University of Castilla-La Mancha (UCLM), Toledo, Spain. The proceedings contains theoretical and practical research of decision support systems, complex systems, empirical studies, sustainable development, project management, and operation optimization, showing advanced management concepts and demonstrates substantial interdisciplinary developments in MSEM methods and practical applications. It allows researchers and practitioners in management science and engineering management (MSEM) to share their latest insights and contribution. Meanwhile, it appeals to readers interested in these areas, especially those looking for new ideas and research directions.

Download or read book Too Much Finance written by Mr.Jean-Louis Arcand and published by International Monetary Fund. This book was released on 2012-06-01 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper examines whether there is a threshold above which financial development no longer has a positive effect on economic growth. We use different empirical approaches to show that there can indeed be "too much" finance. In particular, our results suggest that finance starts having a negative effect on output growth when credit to the private sector reaches 100% of GDP. We show that our results are consistent with the "vanishing effect" of financial development and that they are not driven by output volatility, banking crises, low institutional quality, or by differences in bank regulation and supervision.