4 edition of **A nonparametric analysis of the shape dynamics of the US personal income distribution** found in the catalog.

A nonparametric analysis of the shape dynamics of the US personal income distribution

Feng Zhu

- 138 Want to read
- 32 Currently reading

Published
**2005** by Bank for International Settlements in Basel, Switzerland .

Written in English

**Edition Notes**

Statement | by Feng Zhu. |

Series | BIS working papers,, no. 184, BIS working papers (Online) ;, no. 184. |

Contributions | Bank for International Settlements. Monetary and Economic Dept. |

Classifications | |
---|---|

LC Classifications | HG3879 |

The Physical Object | |

Format | Electronic resource |

ID Numbers | |

Open Library | OL3479155M |

LC Control Number | 2005620114 |

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We provide stylized facts on the evolving shape dynamics of the US personal income distribution from to Based on adaptive kernel density estimation, we propose an adaptive bootstrap test for multimodality.

Our results indicate that multimodality has been a predominant feature of the US income by: 8. A nonparametric analysis of the shape dynamics of the US personal income distribution. Basel, Switzerland: Bank for International Settlements, Monetary and Economic Dept., (OCoLC) A Nonparametric Analysis of the Shape Dynamics of the US Personal Income Distribution: Article in SSRN Electronic Journal January.

BIS Working Papers No October A nonparametric analysis of the shape dynamics of the US personal income distribution: By Feng ZhuCited by: 8. A nonparametric analysis of the shape dynamics of the US personal income distribution: We provide stylized facts on the evolving shape dynamics of the US personal income distribution from to Based on adaptive kernel density estimation, we propose an adaptive bootstrap test for multimodality.

Author: Feng Zhu. A nonparametric analysis of the shape dynamics of the US personal incom Topics: Adaptive kernel method, adaptive multimodality test, bootstrap, income distributionAuthor: Feng Zhu.

Request PDF | Nonparametric Analysis of Regional Income Dynamics: The Case of Greece | The analysis relies on estimating a stochastic kernel and the associated with it ergodic : Georgios Fotopoulos.

Figure 9 builds on the ﬁndings of the previous mobility scatterplots. Through the lens of a nonparametric bivariate distribution, it shows the areas of high density of each environmental efﬁciency indicator. In the case of CEEI, there is only one area of high density that is just above the median of each period.

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A nonparametric analysis of the shape dynamics of the US personal income distribution book The main purpose of this analysis is to have a nonparametric assessment of the dynamics of productivity dispersion, the mobility of ﬁrms within the productivity distribution, and the formation of multiple convergence clusters that.

The results presented in Fig 5 demonstrate that the inner distribution of income tax has a small effect on the dynamics of wealth inequality. A drastic linear decrease in income inequality to an income Gini index of over a period of 23 years, resulted in an insignificant decrease of the share of wealth owned by the top decile from % to %.Cited by: In the analysis we used the five-point scale as a continuous outcome (with ‘very good’ being counted as 1 and ‘very bad’ as 5) and calculated average values of self-assessed health per level of income.

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We have revealed precise match in the shape of two age-dependent features of the PID: mean income and the portion of people with the highest incomes (2 to 5% of the working age population).

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Economic inequality in the United States has increased during the last two decades. The loss of manufacturing jobs and changes in taxation and income distribution policies since the early s have favored the rich and hurt the economic standing of the middle class and the poor (Barlett & Steele, ; Wilson, ).

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Identify the populations, comparison distribution, test and assumptions 2. State the null and research hypothesis 3. Determine the characteristics of the comparison distribution 4. Determine the critical values/ cutoffs 5. Calculate the test statistic 6. Make a decision.

Income inequality is greater in the United States than in any other democracy in the developed world. Between andwhen the Gini index for U Author: Jill Lepore. Since the s, income inequality has increased significantly in the rich countries, especially the United States, where the concentration of income in the first decade of the twenty-first century regained—indeed, slightly exceeded—the level attained in the second decade of.

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Author (s): Robert M. Kunst. Income inequality metrics or income distribution metrics are used by social scientists to measure the distribution of income and economic inequality among the participants in a particular economy, such as that of a specific country or of the world in general.

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Lifecycle Dynamics of Income Uncertainty and Consumption James Feigenbaum and Geng Li NOTE: Sta working papers in the Finance and Economics Discussion Series (FEDS) are preliminary materials circulated to stimulate discussion and critical comment. The analysis and conclusions set forthCited by: Search the world's most comprehensive index of full-text books.

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