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Panel Data

Valentina Tarkovska · 2013

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panel data

Università Degli Studi Di Padova, Christopher Bowdler, Luca Nunziata et al. · 2005

This paper examines the impact of union membership rates on inflation in OECD countries. A positive effect of union density is estimated, even after controlling for fixed effects and time dummies. Additional institutional characteristics, for example union coordination, employment protection laws and central bank independence, do not affect inflation directly in a panel setting, but do influence the size of the unionisation coefficient via interaction terms. The results are robust to controlling for potential common causes such as oil price shocks and the political stance of the government, and to using GMM/IV techniques to handle possible endogeneity biases.

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Panel Data

Yale University Press eBooks · 2020

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Panel Data

2013

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panel data

ma yue · Figshare · 2023

Panel data for a factor model on systematic risk determinants exploration.

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Panel data

Natércia Fortuna · Open Repository of the University of Porto (University of Porto) · 2011

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Panel Data

AnonymousAuthors · Figshare · 2026

This dataset is used in the paper 'Shock to which segments? Uneven impacts of geopolitical decoupling in the semiconductor global value chain'.

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Panel data

Chamberlain, Gary, Z. Griliches†, M. D. Intriligator · RePEc: Research Papers in Economics

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Panel Data

AnonymousAuthors · Figshare · 2026

This dataset is used in the paper 'Shock to which segments? Uneven impacts of geopolitical decoupling in the semiconductor global value chain'.

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panel data

yue, ma · Figshare · 2023

Panel data for a factor model on systematic risk determinants exploration.

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Panel Data

Sunil Kumar · RePEc: Research Papers in Economics

Abstract Panel data, also known as cross-sectional time series data, is a type of data that combines both cross-sectional and time series dimensions. In accounting and finance research, panel data typically consists of observations on multiple entities (such as firms, countries, or individuals) over multiple time periods. This data structure enables researchers to study the dynamics of relationships between variables and analyze the effects of various factors over time.

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Panel data

Ian D. Gow, Tongqing Ding · Empirical Research in Accounting · 2024

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Panel Data

Sunil Kumar · 2024

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Panel Data

William E. Taylor · Encyclopedia of Statistical Sciences · 2004

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Panel Data

AnonymousAuthors · Figshare · 2026

This dataset is used in the paper 'Shock to which segments? Uneven impacts of geopolitical decoupling in the semiconductor global value chain'.

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panel data.

Juan A. Sanchis-llopis, Maria E. Rochina, Richard Blundell et al. · 1998

Microeconomic survey data sets offer important advantages for the analysis of consumer demand, although one of the problems associated with these data is the existence of zeros in the expenditure records of households. One of the reasons behind a zero record is infrequency of purchase. This paper focuses on the analysis of Infrequency of Purchase Models (IPMs). We develop an IPM for panel data and compare it with the IPM for cross-sectional data. The estimation of these models using panel data might shed some light on the restrictions that one has to make in order to estimate them using cross-sectional data. We estimate two models: first, using the panel data as cross-section data, and, second, we estimate the model for panel data using several panel data estimators. Finally we compare the two sets of results and present some diagnostic tests. The data are drawn from the Spanish Family Expenditure Survey (ECPF) for

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Panel data

Nonparametric Regression · 2013

h i g h l i g h t s • Transforming nonparametric fixed effects panel data model into partially linear model. • Based on the profile least-squares method, the fixed effects are removed. • The asymptotic distributions are used to construct SCB of the nonparametric function. • The bootstrap procedure is proposed to construct SCB of the nonparametric function. • The proposed methods can be extended to various semiparametric panel data models. a r t i c l e i n f o Article history:

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Panel Data

Gary Chamberlain · National Bureau of Economic Research · 1982

We consider linear predictor definitions of noncausality or strict exogeneity and show that it is restrictive to assert that there exists a time- invariant latent variable c such that x is strictly exogenous conditional on c.A restriction ot this sort is necessary to justity standard techniques tor controlling tor unobserved individual eftects.There is a parallel analysis tor multivariate probit models, but now the distributional assumption for the individual eftects is restrictive.This restriction can be avoided by using a conditional likelihood analysis in a logit model.Some ot these ideas are illustrated by estimating union wage eftects tor a sample ot Young Men in the National Longitudinal Survey.The results indicate that the lags and leads could have been generated just by an unobserved individual eftect, which gives some support tor analysis ot covariance-type estimates.These estimates indicate a substantial omitted variable bias.We also present estimates ot a model ot temale labor torce participation, focusing on the relationship between participation and fertility.Unlike the wage example, there is evidence against conditional strict exogeneity; if we ignore this evidence, the probit and logit approaches give conflicting results.

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Panel Data

Markku Rahiala · International Encyclopedia of Statistical Science · 2025

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Panel data

Chris Brooks · Cambridge University Press eBooks · 2008

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