Econometrics: A Modern Introduction

By Michael P. Murray. 2005

105 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3ee2ee64308c945bfb1e66112e4816d9617a6027

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Citations in the corpus

Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology (2008, unknown): “We shall seek to explain terms from econometrics as we introduce them, but readers who wish to investigate the IV literature may find the online glossary of research economics edited by Peter Meyer [53] useful, or the recent introductory econometrics textbook by Murray [54], which also includes a gl”
Community Intelligence and Social Media Services: A Rumor Theoretic Analysis of Tweets During Social Crises (2013, background): “As all of these values are between lower (d U = 1.93) and upper (4 – d U = 2.07) bound of critical values at p .05, we do not detect any autocorrelations between the error terms, validating that the error terms are independent of each other (Murray 2005).”
Detecting Interaction Effects in Moderated Multiple Regression With Continuous Variables Power and Sample Size Considerations (2009, background): “This subtle consideration is closely related to the implication of stochastic regressors commonly discussed in econometric texts such as Greene (2008) and Murray (2006).”
Estimating short and long-term residential demand for electricity: New evidence from Sri Lanka (2010, background): “The observed high R2 could be due to the presence of the ‘trend’ and may not be due to a real relationship between the two variables (cf. Gujarati, 1995; Enders, 2004; Murray, 2006).”
Fertility, female labor force participation, and the demographic dividend (2009, unknown): “These issues are discussed in more detail in Murray (2006), and lead us to use only one instrument in our analysis.”