Category: Macro Economics

تُعد المغرب واحدة من أهم المناطق السياحية العربية بفضل تاريخها الطويل ومُنشآتها ومواقعها الأثرية العريقة التي لم تخل من بصمة استعمارية، ومعالمها الطبيعية الفاتنة، مع التراث الثقافي والحضاري اللافت للأنظار، ما يجعلها وجهة مثالية لقضاء عطلة شرقية أصيلة.
ويبقى السؤال الأهم عند التفكير في السفر و السياحة في المغرب هو اين يقع المغرب تحديدًا على خريطة العالم واين تقع اكبر مدن المغرب السياحية من بعضها؟ وهذا بالضبط ما يُجيب عليه تقريرنا اليوم.مدينة شفشاون وتُعرف باسم المدينة الزرقاء لسيطرة اللون على مبانيها ومنازلها، وهي واقعة في الشمال الشرقي.
وتُقدم لزائريها المناظر الطبيعية الساحرة بين الشلالات والعراقة التاريخية في الأحياء القديمة والمُتعة اللامحدودة في المطاعم المحلية.
في هذا الرابط جمعنا لكم كل المعلومات عن افضل فنادق المغرب شفشاون المُجربة والموصى بها ..اقرأ المزيد

This assignment requires the application of the effect of macroeconomic policies on economic variables.
Economic activity in developing countries is limited at least in part due to limited investment. Investment is limited mostly due to insufficient lending. Lending is mostly limited due to economic uncertainty and the prospect of unexpected inflation.
In light of this, please describe how a lender can lose during inflation if the inflation is unanticipated and the loan is a fixed-interest-rate loan.
How would a variable-interest-rate loan (one that adjusts over the contract period) eliminate these losses?

The a-s-s-e-s-s-m-e-n-t will
1. Creating study resources.
2. Moderating your peers’ resources.
3. Adaptive practice.
Please see the questions shown in the screenshot. I will send you all the info after being hired, eg PPTs, student access etc. Please send a draft in 12hrs -1 day time, day 2, and day 3 as well. + Will need to draft some questions to ask the teacher and revise base on feedback (Send bk ard in 1 day max)

Is unemployment become common in the future generation ? Is AI Tecnology create the unemployment over the business groups of world

To be completed this week:
– Final (5% of grade, 90 or higher, 120 min only)
Requirement to pass class and assignments:
– 90% and above to receive credit.

1. Your boss wants you to produce some forecasts. You are first going to analyze the data.
Select some macroeconomic data that are either monthly or quarterly and that at least appear to exhibit trend and seasonality. Be sure to get at least ten years of data. Do not select a series that has already been seasonally adjusted. Try to select data that are different from the set you chose last time. For example, choose a different frequency (quarterly versus monthly), different type of data (trade versus GDP, international versus country-regional, etc.), etc. Use the data to do the following exercises.
a. (5 points) Submit a plot of the percent change of the series.
b. (15 points) Submit the correlogram of the percent change of the series and discuss what you can learn from the correlogram. (Two or three sentences at most.)
d. (5 points) Using the correlogram as a guide, run some simple ARMA regressions on the percent change of the series (no more than 20). Submit a well organized table in grid format (see the book for an example) with the AIC and SIC values for the models you estimated.
e. (10 points) Determine which model is the best in your opinion. Briefly discuss why you chose the model you selected. (Two or three sentences at most.)
f. (5 points) Submit the estimation output of the model you selected as well as a plot of the actual, fitted, and residuals. (Do NOT submit output from all of the regressions you attempted.)
2. Your boss wants you to produce some forecasts. You are first going to analyze the data.
Use the same macroeconomic data as in problem 1. Instead of selecting your model based on its in sample performance, use the techniques you have learned to select the best model based on forecasting performance. In addition to looking at simple out of sample forecasting performance, use recursive cross validation . If you are an adept programmer, you can program a loop to make recursive cross validation faster to perform. If you are not an adept programmer, start with your preferred model and select only one other candidate model – no more.
(40 points) Briefly discuss how you selected the model. Did the model you chose change from last week, explain why that might be?
3. Estimating VARs
Use the macroeconomic data you used in Question 1 and Question 2. Now estimate some VAR models. This will involve getting other data that may be related to your original series. Using the techniques you have learned, select the model that is, in your opinion, the best model for the data.
a. (15 points) Briefly discuss how you selected the model.
Using your best model, create a forecast for your series of interest (the length of the forecast should be determined by the data, e.g. for quarterly data perhaps a year, while for monthly data perhaps six months).
b. (15 points) Briefly discuss the fit of your forecast.
c. (25 points) Create the impulse response functions for your VAR and interpret a few of the more interesting ones.
d. (25 points) Create the variance decomposition for your VAR and interpret a few of the more interesting ones.
4. Comparing Forecast Accuracy
a. (20 points) Now, using the VAR you chose in the previous question and the model you chose in question 2, compare the forecast accuracy of the two models for the original series you selected.

1. Your boss wants you to produce some forecasts. You are first going to analyze the data.
Select some macroeconomic data that are either monthly or quarterly and that at least appear to exhibit trend and seasonality. Be sure to get at least ten years of data. Do not select a series that has already been seasonally adjusted. Try to select data that are different from the set you chose last time. For example, choose a different frequency (quarterly versus monthly), different type of data (trade versus GDP, international versus country-regional, etc.), etc. Use the data to do the following exercises.
a. (5 points) Submit a plot of the percent change of the series.
b. (15 points) Submit the correlogram of the percent change of the series and discuss what you can learn from the correlogram. (Two or three sentences at most.)
d. (5 points) Using the correlogram as a guide, run some simple ARMA regressions on the percent change of the series (no more than 20). Submit a well organized table in grid format (see the book for an example) with the AIC and SIC values for the models you estimated.
e. (10 points) Determine which model is the best in your opinion. Briefly discuss why you chose the model you selected. (Two or three sentences at most.)
f. (5 points) Submit the estimation output of the model you selected as well as a plot of the actual, fitted, and residuals. (Do NOT submit output from all of the regressions you attempted.)
2. Your boss wants you to produce some forecasts. You are first going to analyze the data.
Use the same macroeconomic data as in problem 1. Instead of selecting your model based on its in sample performance, use the techniques you have learned to select the best model based on forecasting performance. In addition to looking at simple out of sample forecasting performance, use recursive cross validation . If you are an adept programmer, you can program a loop to make recursive cross validation faster to perform. If you are not an adept programmer, start with your preferred model and select only one other candidate model – no more.
(40 points) Briefly discuss how you selected the model. Did the model you chose change from last week, explain why that might be?
3. Estimating VARs
Use the macroeconomic data you used in Question 1 and Question 2. Now estimate some VAR models. This will involve getting other data that may be related to your original series. Using the techniques you have learned, select the model that is, in your opinion, the best model for the data.
a. (15 points) Briefly discuss how you selected the model.
Using your best model, create a forecast for your series of interest (the length of the forecast should be determined by the data, e.g. for quarterly data perhaps a year, while for monthly data perhaps six months).
b. (15 points) Briefly discuss the fit of your forecast.
c. (25 points) Create the impulse response functions for your VAR and interpret a few of the more interesting ones.
d. (25 points) Create the variance decomposition for your VAR and interpret a few of the more interesting ones.
4. Comparing Forecast Accuracy
a. (20 points) Now, using the VAR you chose in the previous question and the model you chose in question 2, compare the forecast accuracy of the two models for the original series you selected.

TASK #1: Collect recent data about the following macroeconomic-related information about your country and respond to the following questions. Identify recent trends in macroeconomic facts: economic growth, unemployment, inflation etc.(pick your country)
1. Where is the country located and what is is its physical size?
2. What is the population of the country? Is it a problem?
3. Who is the current head of the government?
4. What kind of an economy does it have: primarily market-based or centrally planned. -Is it a rich or poor country?
5. Is this economy growing/declining/stagnant? Support your response with facts.
6. What are the real GDP and GDP per capita? Compare this to your own country
.7. Comment on the budget deficit /surplus
8. What is the unemployment rate? Is unemployment a problem in this country? If so why?
9. What are the major natural resources of the country?
10. What are the main items of exports and imports? Does the country have a trade deficit or a trade surplus? Who are the major trading partners?
11. What are the major industries and products?
12. What is the country’s money called? How much of your own country’s money could you get for one of this country’s unit of money?
13. What is the rate of inflation/deflation? Is inflation/ deflation a problem why?
14. Is this country affected by the global economic crises?
15. Any other interesting facts: Non-Economic-social/cultural/religious/political
(1 point for each question a total of 15 points)
Note: An excellent source for current data is the CIA World Fact Book Website below.
Click here https://www.cia.gov/library/publications/the-world-factbook/geos/xx.html (Links to an external site.)
Please refer to the WSJ, Economist, New York times and other Econ Websites etc.
TASK # 2: Identify a recent macroeconomic news or magazine article concerning your country. In one paragraph of your own typed words, briefly summarize the significance of this article to your country’s economy. Include the summary in your response. (Maximum 6 sentences.) (5 Points)
Guidelines:
You may use power point /visual aids/music/audio/video/technology/ Be creative.
State what internet sources/news magazines that were used for your research.
Please give credit to any experts or sources you used.

do chapter 5 and chapter 6 homework and problems but there are like 36 questions so let me know if you can. also, I’m gonna give you an email when I find you

do chapter 5 and chapter 6 homework and problems but there are like 36 questions so let me know if you can. also, I’m gonna give you an email when I find you