We use cookies to create the best experience for you. Keep on browsing if you are OK with that, or find out how to manage cookies.
Nobody downloaded yet

Applied Econometrics - Statistics Project Example

Comments (0) Cite this document
is the coefficient for the In(exports) and the value is -0.091 implying that there exists a negative relationship between the dependent variable (ln(GDP percapita) and the independent variable (In exports). As such, a unit increase in In(exports) results to a decrease in the…
Download full paperFile format: .doc, available for editing
Polish This Essay92.1% of users find it useful
Applied Econometrics
Read TextPreview

Extract of sample
"Applied Econometrics"

Download file to see previous pages Q.3. (10) What does the sign of the estimate on ln area in model (2) tell you about the sign of the correlation between slave exports and the size of the country? Hint: think about omitted variable bias.
Due to omitted variable bias, there will be a bias as the coefficient of In exports picks up the part of the influence of ln area that was correlated with In exports. The sign of the estimate on ln area in model (2) is positive telling us that the expected sign of the correlation between slave exports and the size of the country is also positive.
In model 1, the value of R2 is given as 0.25 similarly in model 3, the value of R2 is given as 0.25 this shows no change in the value of R2 implying that the included variable (population) has no effect on the model; the variable is irrelevant.
Q.6. (10) Note that the standard error on ln exports in model (2) is higher than the standard error on ln exports in model (1). Comment (in detail) on what information this provides you regarding the specification of Model (2).
Q.7. (15) While the idea of Nunn is interesting, it is unlikely that slave exports alone can explain why economic output is so low amongst African countries. Consider population density in 1400 AD as an additional explanatory variable. Acemoglu, Johnson and Robinson (2002) have shown that population density has a positive impact on economic prosperity. Comment (in detail) on the impact of the omission of this variable from Nunn’s empirical model.
 Each observation (variable) affects the fitted regression equation differently and has a different influence on each variable; this may result to what we term as omitted variable bias (OVB). OVB occurs when a model is created which incorrectly leaves out one or more important causal factors. The "bias" is created when the model compensates for the missing factor by over- or underestimating the effect ...Download file to see next pagesRead More
Cite this document
  • APA
  • MLA
(“Applied Econometrics Statistics Project Example | Topics and Well Written Essays - 1000 words”, n.d.)
Retrieved de https://studentshare.org/statistics/1679212-applied-econometrics
(Applied Econometrics Statistics Project Example | Topics and Well Written Essays - 1000 Words)
“Applied Econometrics Statistics Project Example | Topics and Well Written Essays - 1000 Words”, n.d. https://studentshare.org/statistics/1679212-applied-econometrics.
  • Cited: 0 times
Comments (0)
Click to create a comment or rate a document
Research one of the formulas in Statistics that we will cover and discuss the relevancy and application to the program
One of the statistical formulas that are applicable to the nursing program is the concept of probability. Probability is defined as the likelihood of obtaining success in an
1 Pages(250 words)Statistics Project
Experimental Designs I
One-way is applied in testing differences among more than one independent group. Particularly, this ANOVA is applied in testing for differences for more
3 Pages(750 words)Statistics Project
Contributing to Theory: Independent, Mediating, Moderating, and Dependent Variables
teams and virtual tools to determine the articles’ contribution to theory with respect to applicability of virtual teams and virtual tools in an oil-producing environment. The research article, as was published by Workman, sought to determine the impacts of virtual tools in
2 Pages(500 words)Statistics Project
Results section
no significant difference between the average punishment assigned to the defendant by witnesses and non-witnesses based on the evidence presented in the case. The results of the study warranted the rejection of both hypotheses. In testing the hypotheses, a 95% confidence
2 Pages(500 words)Statistics Project
Applied Statistics for Finance and Economics
The data set will also contain two more variables forming the centre of focus of the rest of the regression analysis and other statistical processes (Sheather, 2004). These are the log return series of the stock value dly, and the log return of the standard
8 Pages(2000 words)Statistics Project
SE-5004L Statistics and Econometrics, Semester Two, 2013/4
n used instead of total value as the dependent variable since it is regarded as the average data on food, a measure of the food consumption of the population of a nation and it is particularly in comparison to other nations. Looking at the table below (regression output table),
6 Pages(1500 words)Statistics Project
Event study
This paper entails an event study in which the establishment of whether returns of large-cap stocks within an industry are higher than those of small-cap stocks. These terms originate from the term market capitalization, abbreviated as market cap. It refers to the shares of a
7 Pages(1750 words)Statistics Project
Analysis a relationship about economic
However, considering other factors in play affecting inflation, determining the connection between circulating currency and inflation is not as easy and predictable as it may
2 Pages(500 words)Statistics Project
Estimating a Multiple Regression Model (The impact of Consumption and Investment on the GDP in Qatar (1990- 2013))
The GDP depends entirely on the different economic activities that the countries engage in that will range from production activities, importation aspects, the development of different services within the borders and exportation aspect. All
7 Pages(1750 words)Statistics Project
Applied Econometrics
In the second variable, the weighted distance to five major employment centers in the Boston region (DIS), the order of coefficients; 0.028, 0.027, and 0.027 in absolute values. In the criteria of absolutism, a one percent change in DIS
3 Pages(750 words)Assignment
Let us find you another Statistics Project on topic Applied Econometrics for FREE!
Contact us:
Contact Us Now
FREE Mobile Apps:
  • About StudentShare
  • Testimonials
  • FAQ
  • Blog
  • Free Essays
  • New Essays
  • Essays
  • The Newest Essay Topics
  • Index samples by all dates
Join us:
Contact Us