Sign Up Now
Get instant access to over 1 million+ study documents
OR
Already registered? click here to login
By creating your account, you agree to our terms of service, privacy policy and student honor code.
The outlook was very negative in August and September -- there were some serious issues such as the debt ceiling debate that could have been responsible for the strong negative outlook. The outlook has turned slightly positive of late though, an encouraging sign.
Overall, the data provides a mixed signal about the state of the economy. The major headline numbers -- GDP and unemployment -- are improving. This is supported by the FOMC's statement, which has shown that rates are going to stay low. However, there are some mixed signals in the other data, including CPI, real earnings and durable goods orders.
The type of number of course is important. Some of the numbers are more sensitive than others,...
The Philadelphia survey, for example, is regional and subjective, which makes it a less useful indicator. Such data is important to have, but it is not as important as the hard quantitative data that is nationally based. That type of data is typically more important for determining the course of the U.S. economy. So once some of the less important data are excluded, the headline-type numbers show a generally improvement trend in the U.S. economy. Even the decline in the CPI might not be bad, because if that is the result of lower gas prices rather than actual deflation, then that is something that will benefit the economy overall as well.
Starbucks Economic indicators inform companies about the broader trends in the economy. Most companies are well aware of their own internal performance, but economic indicators can provide additional information. For example, if the economy is slumping, then a slight downturn in a company's revenues might be expected. If the economy is booming, however, then that same downturn would be a red flag. So economic indicators can sometimes serve as a benchmark
Increases in manufacturing reveal benefits early, one can track the benefit at all stages and report the benefits to the public quickly. According to a statement released by the Center for American Progress, "solar panels don't install themselves. Wind turbines don't manufacture themselves. Homes and buildings don't retrofit or weatherize themselves. In our industrial society, trees don't even PLANT themselves, anymore. Real people must do all of that work."
Summary Economic forecasting refers to the process of trying to predict the future state of the economy through a series of different indicators. This process helps to understand the probable future of a nation’s economy and for policymaking to help promote economic growth. When developing an economic forecast, various macroeconomic factors/conditions are taken into consideration. This paper provides an economic forecast of the U.S. economy based on recent economic indicators in
Economics Growth The retailer sector was lately affected by the back-to-school shopping season, which did not start so well, as midprice department stores, discounters and specialty-apparel retailers announced disappointing sales results during August, which reinforced the already much debated concerns that consumers are not comfortable with the current state of the economy and are reluctant to consume, considering the shaky and uneven economic recovery. However, luxury department-store chains managed to post significant
Table 2 Fit measures for models 1 and 2 Model X[sup2] X[sup2]/df GFI AGFI IFI SRMR X[sup2] = Chi-Squared is rarely used by itself as a measure of model fit, since it is heavily influenced by the number of cases in the sample (Byrne, 1998). X[sup2]/df = Chi-Squared divided by degrees of freedom and a small resulting value interpreted as a good fit, while a large value is generally seen as indicative of a bad or poor data-model fit.
Business Cycles: Phases, Indicators, Measures, Economic Evolution, Outlooks is currently recovering from its worst recession in over 25 years. Most economists consider the rapid rise in housing prices (the bubble) and the subsequent collapse in that market to be the primary cause of the recession. Explain what housing market circumstances were responsible for the collapse of that market. Observers attribute the 2001-2006 housing bubble to "everyone from home buyers to Wall Street,