An Applied Economics research(2,000 words) Using Eviews.
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Description
Experience Level: Expert
PLEASE NOTE: the topic of the research work work is: THE EFFECT OF FDI TO GROWTH IN BRAZIL.
We are required to collect data to allow the estimation of theory-relevant regression equations. The report should describe the economic problem under investigation, the data used and the techniques employed. Regression results should be interpreted and caveats offered with a view to forming a conclusion on the basis of statistical findings.
Please bear the following in mind
1 Identify an economic relationship that you wish to study (keep it simple) and specify the equation to be estimated. Discuss the economic theory that underlies the relationship and review any literature of direct relevance to it, whether it be of theoretical or empirical nature. Some theories predict the exact values of coefficients; others define a range of permissible values. In some models an important coefficient may be either positive or negative. Is your specification the result of a formal economic model or is it more ad hoc? Briefly discuss why each of the explanatory variables is included and comment on their anticipated effect.
2 Discuss the data requirements for the model. How have you chosen to measure the variables? Are you measuring precisely what the theory stipulates? Are the empirical analogues of the variables specified by theory unavailable or difficult to measure in practise? Are there any problems with the data (measurement error, small samples, data unavailability)
3 Present a brief descriptive exploration of the data. If you are using time series data plot the dependent variable and point out any salient features of the series (trends, outlying observations, structural breaks, etc.) providing explanations if possible. Remember that failure to model distinctive features in the data (wars, strikes etc.) may bias statistical results.
4 Estimate the model and evaluate its statistical performance (t-ratios, R2, diagnostic tests). What do the estimated coefficients imply about the economic relationships (signs, quantitative impacts, elasticities).
5 If you are using time series data you may want to test for the order of integration. Ideally, address issues such as cointegration, short and long-run models.
6 Does the estimated equation support the theory on which it was based? If not, then what factors may explain the empirical results (poor theory, poor model, poor data?) Discuss possible improvements to your original specification (such as a different functional form or additional variables).
7 Conclude your analysis with a summary of the problem and how you have addressed it, discussing the implications and/or caveats of the results
The empirical results (poor theory, poor model, poor data?) Discuss possible improvements to your original specification (such as a different functional form or additional variables).
We are required to collect data to allow the estimation of theory-relevant regression equations. The report should describe the economic problem under investigation, the data used and the techniques employed. Regression results should be interpreted and caveats offered with a view to forming a conclusion on the basis of statistical findings.
Please bear the following in mind
1 Identify an economic relationship that you wish to study (keep it simple) and specify the equation to be estimated. Discuss the economic theory that underlies the relationship and review any literature of direct relevance to it, whether it be of theoretical or empirical nature. Some theories predict the exact values of coefficients; others define a range of permissible values. In some models an important coefficient may be either positive or negative. Is your specification the result of a formal economic model or is it more ad hoc? Briefly discuss why each of the explanatory variables is included and comment on their anticipated effect.
2 Discuss the data requirements for the model. How have you chosen to measure the variables? Are you measuring precisely what the theory stipulates? Are the empirical analogues of the variables specified by theory unavailable or difficult to measure in practise? Are there any problems with the data (measurement error, small samples, data unavailability)
3 Present a brief descriptive exploration of the data. If you are using time series data plot the dependent variable and point out any salient features of the series (trends, outlying observations, structural breaks, etc.) providing explanations if possible. Remember that failure to model distinctive features in the data (wars, strikes etc.) may bias statistical results.
4 Estimate the model and evaluate its statistical performance (t-ratios, R2, diagnostic tests). What do the estimated coefficients imply about the economic relationships (signs, quantitative impacts, elasticities).
5 If you are using time series data you may want to test for the order of integration. Ideally, address issues such as cointegration, short and long-run models.
6 Does the estimated equation support the theory on which it was based? If not, then what factors may explain the empirical results (poor theory, poor model, poor data?) Discuss possible improvements to your original specification (such as a different functional form or additional variables).
7 Conclude your analysis with a summary of the problem and how you have addressed it, discussing the implications and/or caveats of the results
The empirical results (poor theory, poor model, poor data?) Discuss possible improvements to your original specification (such as a different functional form or additional variables).
Stephen J.
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