Exam 2: Collection and Management of Data
Exam 1: An Introduction to Econometrics and Statistical Inference16 Questions
Exam 2: Collection and Management of Data16 Questions
Exam 3: Summary Statistics29 Questions
Exam 4: Simple Linear Regression44 Questions
Exam 5: Hypothesis Testing in Linear Regression Analysis34 Questions
Exam 6: Multiple Linear Regression Analysis44 Questions
Exam 7: Qualitative Variables and Non-Linearities in Multiple Linear Regression Analysis40 Questions
Exam 8: Model Selection in Multiple Linear Regression Analysis31 Questions
Exam 9: Heteroskedasticity39 Questions
Exam 10: Time Series Analysis38 Questions
Exam 11: Auto-Correlation50 Questions
Exam 12: Limited Dependent Variables40 Questions
Exam 13: Panel Data31 Questions
Exam 14: Instrumental Variables for Simultaneous Equations, Endogenous Independent Variables, and Measurement Error26 Questions
Exam 15: Quantile Regression, Count Data, Sample Selection Bias, and Quasi-Experimental Methods29 Questions
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Why do we suggest making file and variable names as intuitive as possible? Explain.
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We recommend making file and variable names as intuitive as possible because we are often forced to put our project aside for longer periods of time and we need to be able to get back up-to-speed as quickly as possible when returning to it.If our file and variable names are not intuitive,then doing so is much more difficult and time-consuming.
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When working with cross-section data,how do you choose the appropriate unit of observation? Explain.
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Why do we recommend saving one master file while performing calculations in another file? Explain.
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Suppose you have identified a good question of interest and you expect appropriate data to be available on the internet.What is the first thing that you should do to locate such data? Explain.
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Why is it potentially valuable to perform calculations in a new worksheet? Explain.
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Suppose you have identified a good question of interest but you cannot locate appropriate data on the internet.What could you do to collect appropriate data? Explain.
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Why are data management techniques so important? What is the primary goal of such techniques? Explain.
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Why do we recommend including a worksheet identifying all data sources used to construct our master file? Explain.
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Why must we be careful when merging data from different sources into one file? Explain.
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