Data to Measure U.S. GDP Is `Flawed,' Abby Josef Cohen Says

Abby Joseph Cohen discusses the challenges in accurately measuring the modern economy, particularly in the service and manufacturing sectors. She highlights the limitations of current statistical methods and the impact of technology on productivity and GDP growth. Cohen also addresses the Federal Reserve's awareness of data flaws and the need for improved data collection, especially in multinational trade.

What is one reason the current economic measurements might be inaccurate?

• The sampling techniques are outdated.

• The economy is too complex to measure.

• The Commerce Department measures everything.

• There is too much data to process.

How has the manufacturing sector changed since the 1950s?

• The percentage of workers in manufacturing has decreased, but output has grown.

• Manufacturing output has decreased.

• The percentage of workers in manufacturing has increased.

• Manufacturing is no longer a significant part of the economy.

Why is it difficult to measure productivity in the service sector?

• Statistical data often revert to zero.

• The service sector is too small to measure.

• There is no data available.

• The service sector is not important for GDP.

What is a major concern regarding data collection in the service sector?

• The data is not being collected properly.

• The data is only collected in the US.

• There is too much data to analyze.

• The data is too expensive to collect.

Which area has reliable data collection according to the transcript?

• US and Canada trade

• US and China trade

• US and European trade

• US and Mexico trade