Application of Eviews for economic analysis

Eviews is cost-effective software that aims at economic analysis, statistics. It is compatible with Windows and Mac .Eviews can be trusted, as far as, one’s instructional needs are concerned. Selection of software that assists in the economic analysis can be a tiresome process. The right step can ensure a learning experience, while, an ambiguous step means that people struggle every time. Individuals are often faced with results of an economic research.  Application of Eviews helps in economic analysis, for example, how the approximation of parameters and figures are calculated.

Combining the power and the user-friendly format of Eviews, anyone can work with time-series or longitudinal information. You successfully manage the data, conduct economic and statistical analysis. In addition to that, Forecasts and simulations, good-quality charts and tabular presentations can be easily arranged. There is a reason why Eviews has emerged as a leader in economic analysis software and is without a shadow of a doubt, the first choice for people looking for only the best.

All one needs is to move the cursor and click when it comes to entering a command. If one is in doubt about one’s programming abilities, Eviews comprises of a highly comprehensible command language to gain access to the numerous features

Eviews comprises of an ingenious target-oriented analysis tool, it combines the state-of-the-art software with the functions that one has always desired. The outcome is modern software that gives you an unimaginable advantage within a user-friendly interface. Designed as sharp and user-friendly software, Eviews lets you use a wide number of statistical techniques, without necessarily learning complex syntax. One need not even navigate through endless menus. An Individual finds that he is able to concentrate on the actual work, without having to give much thought to the intricacies of the software.

The economists analyse the database whose size is confined only by the memory of the computer. Eviews places a capacity restriction on the amount of information that can be exported or saved on the system. The purpose of doing so is to avoid putting tough limits on the size of database.

Furthermore, the features that accompany Eviews are as follows:

  • Correlation and factor analysis , plots and graphs, cross-tabulation
  • Autocorrelation analysis, panel root and cointegration tests.
  • Linear as well as nonlinear squares, regression and quantile regression
  • Models containing regressive moving average, moving approximate errors, Wald ratio tests.
  • Residual tests for normality, forecast and breakpoint tests, recursive approximation tests.
  • Advanced equation approximations, panel linear squares , user-specific optimum probability
  • System approximation consists of linear approximation, general least squares, complete information optimum likelihood and filtering and space approximation

Eviews’ sturdy database import features permit the user to work on existing database. Drag and place your current computer files onto Eviews and the document will be transformed into the Eviews document format.

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Proper vocabulary for academic reports

When it comes to academic reports, the choice of words is of essence. One must refrain from using contractions such as can’t, isn’t or short forms of words because they appear informal and academic reports should reflect a more professional and formal approach. Furthermore, the reports must be comprehensible, which means, the words should be precise.

The suggestions on how to prepare academic reports are as follows:

  1. Use professional language
  2. Use proper transitions.
  3. Avoid repetition or unnecessary words.
  4. Be cautious about not misusing words.

A careful selection of words can interest the readers and convey the message, that one’s work is worthwhile. However, if your words turn out to be ambiguous, the reader would soon lose interest, and, may not comprehend the content, after all.

1. Use proper language: Words we use every day may be unsuitable for academic reports. One should refrain from using words that are casual or sound unprofessional.

For example, while reporting work done by others instead of ‘A couple of researchers have found out’, it is better, if we use a statement like ‘several researchers have discovered that’.
The use of slang words or abbreviations also gives a wrong impression.

2. Use proper transitions: Transitions are imperative for a report. They are conducive to a reader’s understanding of the content .The suitable transition ensures that the report is comprehensible.
The following statements will help in understanding the right use of transitions:

  • People have strong view points on the concept of euthanasia .ON THE OTHER HAND they consider euthanasia a morally correct step.
  • People have strong view points on the concept of euthanasia .They ALSO consider euthanasia a morally correct step.

In the above mentioned statements the use of ON THE OTHER HAND, is wrong because what follows it is not different from the earlier statements. However, using ALSO is an appropriate transition. It takes the story forward, so to speak.

3. Avoid repetition or unnecessary words: Being concise, is the essence of academic reports. Redundancy only makes it harder to put one’s point across. The emphasis should be on clarity of the content.

The following statement is an example of redundancy:
‘There is a more preferable way to do the work’

If you prefer one thing, it automatically means that you like it more than the other. Hence, the use of MORE is unnecessary.

4. Be cautious about not misusing words: We unknowingly misuse certain words such as LESSER instead of LESS. For example, ‘the movie finished in LESSER time than expected.’

Be sure to prepare a report with a formal vocabulary and to write precisely. Safe to say, it is better to use simple words than to confuse the reader.

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An insight into some interesting Public Health UK MSc Dissertation Topics

A huge population of research scholars in the UK have started opting for pursuing MSc degree courses in subjects related to Public Health and Social Care. Professionals working in health care sector as well as fresh graduates contemplating a career in the public health and health promotion domain are willingly choosing to pursue an MSc degree course in the health care subjects. This blog of mine would allow my readers to get an insight into some of the most interesting topics covered by UK MSc students who have chosen Public Health Care as their area of study.

The range of subject disciplines covered under the Public Health sector is mainly designed so as to develop key public health competencies as part of a curriculum. Here are some popular subjects covered under UK MSc degree programs with area of study as Public Health and Social Care:

 Physical Activity & Health

  • Weight bearing physical activity and bone health
  • Physical activity and sleep in older adults
  • Smoking cessation and physical activity promotion in community pharmacies
  • The effects of brisk walking on blood pressure
  • Importance of exercise for people with severe enduring mental illness

 Nutrition & Health

  • Promotion of breastfeeding in new mothers
  • Diet and quality of life in cancer patients
  • Obesity management in clients with learning disabilities
  • School meal choices in adolescent boys and girls
  • Food shopping habits of older adults and relation to diet
  • Evaluation of a health session for students during exams

The basic aim of Public Health UK MSc dissertations is to help students develop a systematic and critical understanding of theories, concepts, principles etc relating to health promotion and public health. Such dissertations primarily deal with complex issues relating to the promotion of public health. The research students usually apply advanced knowledge and understanding related to professional public health practices. I hope the information furnished by me would surely assist you in learning a lot about the best topics for Public Health UK MSc Dissertations worked upon by a huge population of MSc students in the UK.


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Brief on Express dissertation writing services

Dissertation writing is a task which needs to be performed using the finest assistance offered by professionals in the field. Although a set amount of time duration is offered to the doctoral candidates for the timely completion of their dissertations, yet there are situations when even this time duration seems to be quite less for the effective completion of the research document. It is during these situations that one thinks of express dissertation writing services.

1Urgent/express dissertation writing services have emerged as the career saviours for all those candidates who are lagging behind the on-time completion of their dissertations. Nowadays, a large group of dissertation writing services firms are indulged in offering help to all those students who are facing issues in completing their dissertations within a very small amount of time. If you too are one such student who is trying all means of completing his/her dissertation on-time but have very little time left, then you can always choose the best urgent dissertation writing services offered by renowned dissertation writers.

Some people believe that urgent dissertation writing service is not comparable to the one which is offered as per a set package. This is an entirely false interpretation because even the quality of express dissertation writing & editing service offered by experts is par excellence and you can actually trust on them. As per this service, the dissertation writing experts use a set approach to ensure that the dissertation writing assistance offered by them is competent in producing a 100% unique and impressive dissertation. So, if you too are one of those doctoral candidates who’re finding it tough to complete their dissertations on-time, then it’s high time for you to opt for the urgent dissertation writing assistance.

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What does a contract between an author and publisher actually denote?

Once a research student has finished off with the creation of his/her research document, he/she would want to publish it in one of the most reputed research journals. By getting the manuscript published in a reputed research journal, the research scholar can in a way promote his/her manuscript and make it reach maximum number of readers residing in different corners of the world.


Before publishing the research document of a researcher into the journal, a written contract is being signed between the author (research scholar) and the chosen publisher. A book contract is a written agreement, signed by both parties, that provides for the author to deliver a manuscript on a given subject, at a given length, and by a given date, and for the publisher to undertake the costs and efforts of publication. Getting into signing a contract can prove to be a trust-worthy means of ensuring the entire process of publishing the research document would be a smooth journey.

Book contracts are wordy documents, sometimes dauntingly so. But despite their verbiage, book contracts are largely prefab structures. All the interesting details-money, copyright, timing, and so on-sit atop standard provisions, uniform throughout a given publishing house and reasonably similar among similar houses. Publishers call the standard language for the most basic provisions of an agreement.

A contact is an exchange of sorts. An author gives the publisher

  • A manuscript(or a promise of a manuscript )
  • The rights to publish that manuscript, and
  • A set of guarantees(without which the publisher wouldn’t be able to put the work into print)

The publisher gives an author

  • A promise to publish
  • A share in the future earnings and sometimes a royalties advance, which is a nonreturnable loan against those earnings and
  • The publisher’s protection of the author’s rights, through registration of copyright, in the name of either the author or the publisher.

I am sure by now you would have definitely understood the meaning of a contract signed between an author and a publisher.



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Can Excel help you in analyzing data more appropriately?

MS-Excel can be considered as the widely used spreadsheet, as it is simple and user-friendly. Using Excel, one can do a variety of calculations. Excel spreadsheet consists of columns and rows that are arranged in the form of grid. Excel makes the calculations easy and simple. The calculations also include a lot of statistical functions and data analysis tools. To get more assistance on understanding the use of Excel for data analysis, one can opt for Dissertation statistics help. The experts at these firms help the students to learn using Excel for data analysis. If the researcher needs to analyse some statistical data, then he/she can use Excel easily to solve their purpose. Excel can be used to find some basis tasks related to data analysis. It may be reasonable to use some statistical package for the same job, but, one may sometimes get accurate results in Excel. Hence, we can say that Excel is not a suitable tool for analyzing data more accurately.

If we have a look at the issues that are seen, while analysing data in Excel, we will find the below factors –

  • In Excel, the missing data is handled in an incorrect and inconsistent way. As a result of which, one cannot get accurate results.
  • The data management varies with the analysis methods. If the user wants to perform multiple analyses, then Excel asks the user to re-arrange the data in a number of ways.
  • The results and findings are organised poorly. Most of the time they are labelled in an improper way.
  • Excel never keeps the records on how an analysis is achieved. This is one of the biggest drawback if Excel for analysing data.

By considering the above drawbacks, the researchers should opt for other statistical packages like – SPSS, SAS, and Minitab etc. This software is especially designed for statistical purpose and the researcher can get accurate results by using statistical software packages. Today, most of the Statistics consultation firms are using latest and advanced tools like – SPSS and SAS for data analysis, rather than Excel. One can use excel for data analysis, if and only if the database is very small and there are only a few rows and columns of data. One can analyse the data by suing pivot tables in Excel. Depending on the kind of work the researcher is looking for, he/se can learn more about excel.

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An insight into Chi Square Test

A chi square test can be defined as a hypothetical test in statistics, where the sampling distribution of the test statistics is considered, when the null hypothesis comes to be true. This test is used to compare the data with observed data and specify the hypothesis accordingly. For example, if the student is expecting 5 out of 10 offspring to be female and the actual observed female is 3, then the difference between the observed and expected value can be calculated using chi square test. Using this test, the researcher can know how much deviation is occurred before the researcher and conclude with a reason why the observed data is different from the expected. The chi-square test is always used to test the null hypothesis. According to the null hypothesis, there is no significant difference between the observed as well as expected results

The formula for calculating chi-square is as below –

2= (o-e)2/e


O is the observed data, e is the expected data. The difference is divided by the expected data considering all categories. Most of the Statistics consultation firms guide the students to learn the process of Chi-square test. The chi-square test is used by the researchers to determine the difference between the observed and expected data. It also can be used to know about the differences in expected frequencies and observed frequencies in multiple categories. In order to conduct the chi-square test, the research should fulfill the below requirements –

  1. Quantitative data.
  2. Multiple categories.
  3. Separate and individual observations.
  4. Sufficient sample size
  5. Random sample.
  6. Data in the form of frequency
  7. All the observations along with expected values.

There are different types of chi-square test, which can be classified as below –

Chi square test for association – This kind of test is used for analyzing bivariate tabular association. It is non-parametric and is used for nominal data. This kind of test is known as Pearson Chi-Square test and determines whether, different populations differ with each other by considering multiple random samples.

Chi-square goodness-of-fit is another kind of chi-test where the researcher needs to calculate the goodness of the test by comparing expected data with observed data.

Dissertation statistics help is provided by most of the reputed dissertation writing firms. If you are a researcher and looking for the best writing firm, then you can search on the web for more details.

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Understanding data analysis using STATA

Data analysis using STATA helps the researchers to introduce the theory of data analysis by considering several random and fixed effects. One can interpret the individual as well as average population through the process of data analysis using STATA. Using STATA for data analysis can be said as a comprehensive section that defines various statistical methods. The users can be able to learn the logic of data analysis easily by using STATA. DATA analysis using STATA plays an important role, especially for those who are learning statistics. It may be difficult for beginners, but, one can find plenty of Statistics consultation firms that help the beginners to learn things quickly. The team at these firms is highly qualified and experienced. The researchers just need to login to their website, and they will be provided you with all the methods to learn data analysis using STATA.

Data analysis through STATA is a step by step process, where the researchers need to go through the process of analysing data step by step. During the step by step process, the researchers will be able to learn the basics of STATA and many other things. STATA can be said as one of the commonly used statistical software package. Researcher use STATA to find linear regressions, data analysis, factor analysis, frequencies, mean and many other things. Student take Dissertation statistics help due to a number of reasons. But, the common reason is lack of skills and time. STATA is used by a number of institutions for teaching. As every data analysis software has its own style of writing codes. STATA also has its own style. So, in order to use STATA for data analysis, the user should be familiar with all the keywords, syntax and commands. Below are some tips on how to understand the commands –

  • Before using STATA, it is very important to know how to read and understand the commands. Usually, the commands begin with a dot (.).
  • In STATA, two data sets can be merged by considering a single variable. One can also find the missing data by using the data available on the website of STATA. One can use the command ‘webuse’ to sue the data from the STATA website.
  • The users can also export the database from STATA to Excel, by using some easy commands. The data can also be copied to other places using the ‘copy’ command in STATA.
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What does sample size determination mean?

Sample size determination is the process of selecting the number of observations that are included in statistical sample. Sample size can be said as an important aspect of empirical stud, where the researcher needs to make inferences about population from a sample. If we have a look at the practical application, sample size that is in a study is influenced by considering the expense of data collection. Sometimes, the need to having enough statistical powers in complicated studies give rise to a number of sample sizes. Sample size can be estimated by using the below methods –

  • By using target variance that is to be derived from the sample.
  • Using readily available or collected data
  • Using the target of the statistical test, after the sample gets collected.

In order to determine the sample size during statistical analysis, researchers can take Dissertation statistics help that is provided by various dissertation writing firms. Estimating the proportion is one of the simple situation in which the sample size is determined. One of the common problems that are faced by the researchers during sample size determination is yielding a specific power for the test and giving the error rate. Large sample size will definitely lead to precision, especially, when estimating with the help of unknown parameters. While in some situations, the accuracy for large sample sizes is minimum and. This will result in presence of dependency of data and systematic errors.

Usually, the sample sizes are determined on the basis of quality of the estimated result. The sample size can also be assessed on the basis of power of hypothesis test. One may have 80% of the power to detect the difference in support levels. With the increase in number of Statistics Consultation firms, the demand of sample size determination also increased. In order to determine the sample size, the researchers started taking the help of these firms. To get full assistance from these firms, the researcher should provide them with all the relevant data, objective of the research and results, so that the researcher can make much out of their work. To determine the sample size the researcher need to follow five steps which are as below –

  • Determining the goals.
  • Determining the desired results
  • Finding the confidence level
  • Calculating the degree of reliability
  • Estimating the response rate.

Hence, by following the above steps, one can determine the sample size easily.

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How to find the best statisticians?

A statistician can be said as an individual who deals with theoretical as well as practical statistics. It is involved with statistical knowledge along with specialization in a particular subject. Researchers who are involved in doing a statistical research need the help of a statistician, as the researchers have to do a lot of data analysis. It will be very difficult for the researchers to finish the task without the help of a statistician. Most of the researchers get stuck during the process of data analysis, as they are not aware of the research methods and tools. Without proper knowledge, it is difficult to get accurate results and conclusions. Hence, it is very important for researchers to take the help of a statistician. But, now the question is how to find the best statistician? One can take the help of a Statistics consultation firm, to hire a statistician. For this, one needs to conduct a thorough research on the internet to find a reliable and genuine dissertation statistics firm.

The work of a statistician is very important and a number of firms take their help to complete the daily transactions. Below are the steps that help the researcher in finding the best statistician –

  • While choosing a statistician for dissertation, one should carefully choose a person who has better exposure to the field of study. He should have relevant experience in his field.
  • The statistician should be capable to deal with huge amount of data and should use the modules that are being used in your college or university.
  • As the statisticians need to deal with advanced mathematics and statistics, he/she should have analytical and logical capability. He should be able to deal with the things in a logical way.
  • The statistician should have at least a master’s degree in maths or statistics. In order to hire a statistician, you can take Dissertation statistics help also. You can also post the requirement on any reputed website.

Data analysis is an important phase of research and one should take due care while choosing a statistician. By taking help from a statistician, you will be sure that you will be doing right choice for the tests. You should take share the data bank, hypothesis, goals of your research and other relevant things, if you are taking the help of a statistician. In this way, one can find the best statistician by doing some workout.

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