Nobody downloaded yet

Econometrics - Speech or Presentation Example

Comments (0) Cite this document
The key hypothesis in this paper is that “Democracies have bad rood conditions compared to autocratic rule holding all other explanatory variables constant”. This means that governments in the world which are perceived or are build on democratic principles have poor rood…
Download full paperFile format: .doc, available for editing
GRAB THE BEST PAPER91.1% of users find it useful
Read TextPreview

Extract of sample

Download file to see previous pages On the other hand, democratically elected governments due to the aspect of resource distribution may end up distributing among the various interested parties and fail to invest in road network or may have the need to transfer the burden to future governments.
To get the motivation for the study, the author refers mostly to what other writers have said about the subject matter. Literature review forms a good foundation for any scientific paper if it is to acquire the required scientific rigor. Further, citations are a confidence boosting phenomena employed to capture the reader’s attention rather than appearing like a one man show which may not have much influence once the results/findings are made ready. The use of data from authoritative sources like the UN is another technique of motivating the hypothesis for the study. Research done shows that using information from a source which is often seen as an authority is important for any research study.
From equation 1, ‘P’ is the share of the paved roads in poor condition, ‘Dem’ is an index of democracy for any country while ‘X’ are the other variables (additional explanatory variables) which may be of affect the road quality in a certain country. The share of the paved roads in poor condition is the dependent variable while democratic index and X are the independent variables. The share of the paved roads in poor condition is determined by how the country is democratically and other variables which include temperatures, growth etc.
The coefficient γ shows the amount of chance anticipated on the share of the paved roads in poor condition once a country’s democratic index increases or decreases by a unit. The coefficient can either be a negative or positive depending on the data. Β shows the impact of any other factor holding all the other factors constant.
The coefficient of determination, R-squared show the ...Download file to see next pagesRead More
Cite this document
  • APA
  • MLA
(“Econometrics Speech or Presentation Example | Topics and Well Written Essays - 1250 words”, n.d.)
Retrieved from
(Econometrics Speech or Presentation Example | Topics and Well Written Essays - 1250 Words)
“Econometrics Speech or Presentation Example | Topics and Well Written Essays - 1250 Words”, n.d.
  • Cited: 0 times
Comments (0)
Click to create a comment or rate a document
...?Econometrics Regression Model Question A The other hypothesis to be investigated by this regression was weather the level of education of women had an impact on their level of availability or participation in the work place. This was to be monitored using the coefficient educ. The availability and increase of other sources of income for the family was also considered to find out weather the same affected their level of commitment at work. This was done using the variable nwifeinc. The estimated coefficients had the signs as expected and were of statistical significance, this was demonstrated clearly buy the patterns displayed by the respective graphs of the variable coefficients. It therefore demonstrated beyond any...
3 Pages(750 words)Assignment
Econometrics the dependent variable are explained by changes in the independent variables. Including an insignificant variable as one of the independent variables may minimize the effects of the actual variable causing the variation in the independent variable. Like in the example above, if truly age is not a determinant of income as stated in equation 1, then including it like in equations 2 and 3 will minimize the actual effects of education on income. BIBLIOGRAPHY Greene W. H. (2003). Econometric Analysis. Fifth Edition. Prentice Hall. Pearson Education International. Anderson D. R., Sweeney D. J., Williams T. A. (2005). Statistics for Business and Economics. Ninth Edition. Thomson...
3 Pages(750 words)Essay
...Question No. 8 Box and Jenkins utilized sample autocorrelation function and partial autocorrelation functions to identify order of an ARMA (autocorrelated moving average) model. If y0, y1, ... yT-1 are a sequence of values from a process, the sample autocorrelation function is Rt = ct / c0, t = 0, 1, ..., T-1 Where Ct = 1/T ∑ (yi – y-bar)(yi-t – y-bar) Is the empirical autocovariance at lag t and c0 is the sample variance. The sample partial autocorrelation pt at lag t is the correlation between the two sets of residuals obtained from regressing yi and yi-t on the set of values in between them. Box and Jenkin’s method has three steps, namely model selection, model estimation and model checking. Frequently Box and Jenkin’s... No. 8 Box and...
5 Pages(1250 words)Assignment
...ECONOMETRICS PART Question a) From table the correlation coefficient between health status and years of education is 0.33. When the correlation coefficient in absolute values is between 0.1 and 0.5, there is a weak correlation between the variables and when the values are between 0.5 and 0.9 there is a strong correlation. In this case, there is a weak positive correlation between the two variables. Since the coefficient is positive, there is a positive linear relationship between health status and years of education. When years in education increase, there is an improvement in health status of the individual. Question 1 (b) i. Number of doctor visits and gender The results of the regression are demonstrated in table 2....
16 Pages(4000 words)Essay
Econometrics Finance and Accounting Econometrics Question Model2 (Model 2) read = 419.7 – 18.6 * noroom – 50.0 * noeng + 29.4 * fiction N = 11984, R2 = 0.204 (1.7) (2.6) (3.1) (0.6) Interpretation of the coefficient for noroom Because noroom is one of the continuous variables, its coefficient is represented by -18.6 which is a constant. If the value of noroom increases, the model value reduces Hypothesis test In order to test for the hypothesis, we use t test as follows t = (1.7-2.6)/(3.1/SQRT(18.6)) = The t score is less than 0.5 at the 5% significance level (Dougherty, 2008). This confirms the null hypothesis, that the parameter is -20 against the alternative hypothesis that the parameter is greater than -20. Question 2 The...
3 Pages(750 words)Coursework
... Question 3 Use the data set shorttbills.wf1. Limit the sample so that it begins in 2002. Regress the three month treasury bill rate (tb3ms) on the lagged three month rate and the twice lagged 6 month rate (tb6ms(-2)). Do the coefficients make much sense? (Okay, explain why they don’t.) Test, at the 1% level, for first-order serial correlation using the Breusch-Godfrey test. Now run the regression correcting for serial correlation by including AR(1) in the regression. Do the coefficients make sense now? Correct for second order serial correlation (add AR(1) and AR(2)). How about the coefficients now? The regression output looks like Dependent Variable: TB3MS Method: Least Squares Date: 09/17/12 Time: 15:24 Sample: 2002M01... Question 3...
1 Pages(250 words)Assignment
... Econometrics Question Required coefficients in the estimate table become evident through writing of the needed estimates using the fitted model, μ12 will be = (ΣkY12k)/n12 = (Σkμ)/n12 + (Σkα1)/n12 + (Σkβ2)/n12 + (Σkαβ12)/n12 + (Σkε12k)/n12 We then assume that averages of the errors in this context are zero (εijk): = μ + α1 + β2 + αβ12 Question 2 In the same way, the mean in table 1 will be: μ11 = μ + α1 + β1 + αβ11 Getting the estimates of table 1 mean, add the estimates at μ, α1, β2, and αβ12. Achieving this goes by multiplying the solution vector with a vector coefficients (e.g. Sum-product) Solution for Coefficient estimates Effect a b Estimate Standard Error DF t Value Pr > |t| Intercept     21.6100 0.2958 72 83.21 <.0001 a 1... Econometrics...
3 Pages(750 words)Assignment
...Lecturer’s and Number Submitted Econometrics In an influential article, ‘‘Hedonic Housing Prices and the Demand for Clean Air," David Harrison and Daniel Rubinfeld study the impact of improvements in air quality on local citizens as reflected through differences in housing prices. A simplified version of their model, which is to be studied, is ln(MVi) = β0 + β1RMi + β2 ln(DISi) +β3NOXi + β4DCHAS;i + Ɛi , (1) where the level of observation is the census tract. Further, MVi is the median housing price (measured in $1,000) for a given census tract in the Boston metropolitan statistical area. RM is the average number of rooms in owner occupied housing in the census tract; DIS is a weighted...
2 Pages(500 words)Assignment
...APPLIED ECONOMETRICS Q1. Interpretation of estimated coefficients in model 3 from table Table shows the least ordinary squares (OLS) of regressions of log per capita income on protection against expropriation variable in a variety of samples. The values in the brackets are the standard errors, occurred during the research. On average, if a country has a protection against expropriation of 10 percent, then per capita income increases by 4.3%, ceteris paribus (100 ×0.43 × 0.1 = 4.3%). For 0.37, the concept is the same. However, negative values of the estimates (-0.62, -1.00 and -0.25) show a reduction and not an increment in per capita income. The protection against expropriation was measured on a scale from 0-10, where a...
8 Pages(2000 words)Assignment
...Applied Econometric paper s Affiliation Introduction This paper gives answers to certain questions regarding a study by Acemoglu, Johnson & Robinson (2001): Colonial Origins of Comparative Development. In their study, they claim that countries with quality institutions and secure property rights appear to have higher economic growth than their counterparts. From the econometric model adopted by Acemoglu, Johnson & Robinson (2001), the following questions will be answered appropriately. Question 1 The coefficient estimate (β1) measures how economic growth increases due to the increase in institutions ` quality. Therefore, economic growth will increase by 43% whenever the quality of institution increases...
11 Pages(2750 words)Speech or Presentation
sponsored ads
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.
Let us find you another Speech or Presentation on topic Econometrics for FREE!
Contact Us