Topic
Cross-sectional data
About: Cross-sectional data is a research topic. Over the lifetime, 458 publications have been published within this topic receiving 53435 citations.
Papers published on a yearly basis
1 / 2
Papers
Book•
1 Jan 2001
TL;DR: This is the essential companion to Jeffrey Wooldridge's widely-used graduate text Econometric Analysis of Cross Section and Panel Data (MIT Press, 2001).
Abstract: The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.
28,753 citations
TL;DR: In this paper, a new data set on inequality in the distribution of income is presented, and the authors explain the criteria they applied in selecting data on Gini coefficients and on individual quintile groups' income shares.
Abstract: This article presents a new data set on inequality in the distribution of income. The authors explain the criteria they applied in selecting data on Gini coefficients and on individual quintile groups' income shares. Comparison of the new data set with existing compilations reveals that the data assembled here represent an improvement in quality and a significant expansion in coverage, although differences in the definition of the underlying data might still affect inter temporal and international comparability. Based on this new data set, the authors do not find a systematic link between growth and changes in aggregate inequality. They do find a strong positive relationship between growth and reduction of poverty.
2,976 citations
Book•
1 Jan 2014
TL;DR: In this paper, a linear spatial dependency model is proposed for cross-section data and a spatial panel data model is presented for dynamic spatial dependency models, methods and inferences, respectively.
Abstract: Contents.- 1 Introduction.- 2 Linear Spatial Dependence Models.- for Cross-Section Data.- 3 Spatial Panel Data Models.- 4 Dynamic Spatial Panels: Models, Methods and Inferences.- References.
1,422 citations
TL;DR: This article found that a percentage point increase in the supply of college graduates raises high school dropout wages by 1.9%, high school graduates’ wages by 2.6%, and college graduates wages by 0.4%.
1,286 citations
TL;DR: In this article, the authors used household level panel data from Bangladesh and found that micro-finance benefits the poorest and has sustained impact in reducing poverty among program participants, but the effect is more pronounced in reducing extreme rather than moderate poverty.
Abstract: Micro-finance supports mainly informal activities that often have low market demand. It may be thus hypothesized that the aggregate poverty impact of micro-finance in an economy with low economic growth is modest or nonexistent. The observed borrower-level poverty impact is then a result of income redistribution or short-run income generation. The author addresses these questions using household level panel data from Bangladesh. The findings confirm that micro-finance benefits the poorest and has sustained impact in reducing poverty among program participants. It also has positive spillover impact, reducing poverty at the village level. But the effect is more pronounced in reducing extreme rather than moderate poverty.
1,200 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2025 | 3 |
| 2024 | 10 |
| 2023 | 16 |
| 2022 | 23 |
| 2021 | 9 |
| 2020 | 15 |