Journal ArticleDOI
Unequally spaced panel data regressions with ar(1) disturbances
Badi H. Baltagi,Ping X. Wu +1 more
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In this paper, a generalized least squares (GLS) procedure is proposed as a weighted least squares that can handle a wide range of unequally spaced panel data patterns and provides natural estimates of the serial correlation and variance components parameters.Abstract:
This paper deals with the estimation of unequally spaced panel data regression models with AR(1) remainder disturbances. A feasible generalized least squares (GLS) procedure is proposed as a weighted least squares that can handle a wide range of unequally spaced panel data patterns. This procedure is simple to compute and provides natural estimates of the serial correlation and variance components parameters. The paper also provides a locally best invariant test for zero first-order serial correlation against positive or negative serial correlation in case of unequally spaced panel data.read more
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Econometric Analysis of Panel Data
TL;DR: In this article, the authors proposed a two-way error component regression model for estimating the likelihood of a particular item in a set of data points in a single-dimensional graph.
Journal ArticleDOI
Testing for serial correlation in linear panel-data models
TL;DR: Simulation evidence is presented that the new Wooldridge test has good size and power properties in reasonably sized samples and can be applied under general conditions and easy to implement.
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Trade Liberalization, Intermediate Inputs and Productivity: Evidence from Indonesia ∗
Mary Amiti,Jozef Konings +1 more
TL;DR: In this article, the productivity gains from reducing tariffs on final goods and from reducing taxes on intermediate inputs are estimated. And they show that a 10 percentage point fall in input tariffs leads to a productivity gain of 12 percent for firms that import their inputs.
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Whom You Know Matters: Venture Capital Networks and Investment Performance
TL;DR: This article examined the performance consequences of this organizational structure in the context of relationships established when VCs syndicate portfolio company investments and found that better-networked VC firms experience significantly better fund performance, as measured by the proportion of investments that are successfully exited through an IPO or sale to another company.
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Trade Liberalization, Intermediate Inputs and Productivity: Evidence from Indonesia
TL;DR: In this article, the effects of trade liberalization on plant productivity were investigated in Indonesian manufacturing census data from 1991 to 2001, which includes plant level information on imported inputs, and the results showed that the largest gains arise from reducing input tariffs.
References
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Journal ArticleDOI
Testing for serial correlation in least squares regression. II.
James Durbin,G. S. Watson +1 more
TL;DR: The problem of testing the errors for independence forms the subject of this paper and its successor and deals mainly with the theory on which the test is based, while the second paper describes the test procedures in detail and gives tables of bounds to the significance points of the test criterion adopted.
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Serial Correlation and the Fixed Effects Model
TL;DR: In this paper, the authors generalized the Durbin-Watson type statistics to test the OLS residuals from the fixed effects model for serial independence and developed a method for efficient estimation of the parameters.
Journal ArticleDOI
Dynamic Aspects of Earning Mobility
Lee A. Lillard,Robert J. Willis +1 more
TL;DR: In this article, an econometric methodology was proposed to deal with life cycle earnings and mobility among discrete earnings classes. But the methodology is not suitable for the case of single individuals.
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Estimation of linear models with crossed-error structure
TL;DR: In this article, sufficient conditions are presented under which the generalized least squares estimator, with estimated covariance matrix, is unbiased for the parameters in the crossed-error model and has the same asymptotic distribution as the GLS estimator.