In statistics and econometrics, a distributed lag model is a model for time series data in which a regression equation is used to predict currentâ€¦Â (More)

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2012

2012

This paper proposes a factor augmented autoregressive distributed lag (FADL) framework for analyzing the dynamic effects ofâ€¦Â (More)

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2012

2012

- Wen Gu
- 2012

Many studies have reported associations between air pollution and daily asthma occurrence. Those studies have not consistentlyâ€¦Â (More)

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2010

2010

3 Distributed lag non-linear models (DLNMâ€™s) 3 3.1 The issueâ€¦Â (More)

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2010

2010

Time series data are frequently used to study the short-term effects of particulate matter air pollution on mortalityâ€¦Â (More)

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2008

2008

Linearly distributed-lag models as a time series tool have very useful applications in many disciplines. In these models, theâ€¦Â (More)

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2008

2008

- Alvin J. Silk
- 2008

This paper is concerned with the problem of measuring market response to a "communications mix"--the various means which a firmâ€¦Â (More)

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Review

2003

Review

2003

Distributed lag models are of importance when it is believed that a covariate at time t, say Xt, causes an impact in the meanâ€¦Â (More)

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2002

2002

Wepropose a utility-theoretic brand-choice model that accounts for four different sources of state dependence: 1. effects ofâ€¦Â (More)

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Highly Cited

1997

Highly Cited

1997

This paper examines the use of autoregressive distributed lag (ARDL) models for the analysis of long-run relations when theâ€¦Â (More)

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1978

1978

- Robert E. Scott
- IEEE Transactions on Industrial Electronics andâ€¦
- 1978

The response of closed-loop systems having plants with distributed lag is an important and complicated problem which appearsâ€¦Â (More)

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