Research & Data
DataBasics

Growth Rates Versus Levels

The Economic Problem

Level or Growth Rate? Researchers Use Both
Researchers study many indicators when following the economy. In economic research, it is important to look at both the level and the growth rates of these variables. The decision whether to use one or the other in economic analysis depends on the question a researcher wants to answer.

Use Levels to Compare Things That Are Similar in Size
A level refers to the value of a certain indicator at a given point in time. In most cases, analysts use levels to compare similar entities. For instance, economists often compare the current level of output, or gross domestic product (GDP), of different countries. As another example, a researcher might want to compare the level of per capita personal income in neighboring states like Louisiana and Texas. Such comparisons help answer questions about the relative economic health of a country or state.

Researchers also examine level changes. A level change is the difference in the level amount from one period to the next. For example, analysts are interested in the level change when the job count is released each month. Rather than reporting the overall job level, the Bureau of Labor Statistics often reports the number of jobs lost or gained over the month for the labor market overall and for each industry. Looking at changes in the job level (the level change) allows researchers to answer questions such as, How many jobs were added to the economy this month? or Which industries contributed the most to the overall job gain and which sectors lost jobs?

Use Growth Rates to Compare Things That Are Not Similar in Size
A growth rate is used when an economist wants to know how fast an indicator has risen (or declined) over a certain period. This rate can be used as a measure of comparison with other time periods, answering questions such as, Has job growth in Texas picked up in 2003, compared with 2002?

Additionally, growth rates allow for better comparison across regions. For example, because of Texas' large population, the state's employment level is one of the highest in the nation. But this fact makes it difficult to compare the number of jobs gained in Texas with the number of jobs gained in smaller states. Such states will have smaller monthly job gains, but employment could be rising at a faster pace than in Texas. In a sense, calculating growth rates levels the playing field between the states. Similarly, economists often compare a state's economy with that of the nation. By calculating growth rates, researchers can make comparisons between the national and regional economies—such as whether state employment is growing faster or slower than the national average.

The Technical Solution

The formula for calculating a growth rate is

where gt is the growth rate in period t, x is the variable being examined and n is the time period of interest (see "Annualizing Data").

Real-World Example

Employment Levels Fall in Texas and the U.S. in 2001 and 2002
Let us now look at an example using levels, level changes and growth rates. Table 1 contains year-end employment levels for Texas and the United States for the years 1999 through 2002 and the level change for each year.

Table 1 shows that the total number of jobs rose in Texas and the United States from 1999 through 2000. However, jobs fell by 99,300 in Texas and 1.4 million in the United States in 2001 as both economies entered recession. Employment continued to decline in 2002. This is the extent of the information that can be garnered from examining employment levels. Because U.S. employment is so much larger than that of Texas, limited information can be gained in trying to compare the changes in employment between the two entities. By calculating growth rates, however, we can compare Texas and the United States better.

Growth Rates Add Information to the Employment Story
Table 2 contains annual employment growth rates for Texas and the United States.

The growth rates are calculated using the formula above with t is equal to the current year and t – 1 is equal to the previous year. As an example, the 2.8 percent growth rate in the first column of Table 2 is calculated using the levels in Table 1 as follows:

Table 3 gives the average annual employment growth rate for Texas and the United States during the 1990s.

The growth rates in Tables 2 and 3 allow comparison between Texas and the United States. The growth rates in Table 3 suggest that Texas outperformed the nation in job growth during the 1990s (3 percent versus 1.8 percent). Table 2 indicates that both the United States and Texas saw slower employment growth in the year 2000, although Texas still followed the trend set in the 1990s and outperformed the nation with 2.8 percent job growth versus 1.5 percent. In 2001, Texas and the United States lost jobs at a similar pace of about –1 percent, as both economies entered recession. In 2002, however, Texas lost jobs at a slightly faster pace than the nation. (–0.3 percent versus –0.1 percent).

Conclusion

The example above helps illustrate how economists use growth rates and levels. While levels provide good information, they are most useful when comparing things similar in size. Growth rates allow comparison of different sized entities, such as the nation and Texas. In addition, growth rates can easily be used to compare indicators over different time periods.

DataBasics

• DataBasic Articles
• Data Definitions
• Indexing Data to a Common Starting Point
  
• Annualizing Data
  
• Smoothing Data with Moving Averages
  
• Deflating Nominal Values to Real Values
  
• Seasonally Adjusting Data
  
• Growth Rates Versus Levels