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Survey of Consumer Attitudes and Behavior, May 2004 (ICPSR 35361)

Released/updated on: 2024-11-07

Geographic coverage: United States

Time period: 2004-04-01--2004-05-31

The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter.

The surveys conducted in 2004 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning.

Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.

External data

Regional Input-Output Modeling System (RIMS II), 2018 (ICPSR 37942)

Released/updated on: 2020-12-16

Geographic coverage: United States

The Regional Input-Output Modeling System (RIMS II), a regional economic model, is a tool used by investors, planners, and elected officials to objectively assess the potential economic impacts of various projects. This model produces multipliers that are used in economic impact studies to estimate the total impact of a project on a region. The idea behind the results of RIMS II is that an initial change in economic activity results in other rounds of spending--for example, building a new road will lead to increased production of asphalt and concrete. The increased production of asphalt and concrete will lead to more mining. Workers hired due to the increase in economic activity will spend more in the region. The model covers the arts, entertainment, and recreation industry, which includes performing arts, spectator sports, museums, and related activities (industry codes 1711100-712000). BEA charges $275 per region (multipliers are provided for all industries in the model for the region that is ordered. The region must contain one or more contiguous counties) and $75 per industry (multipliers are provided for 50 states and the District of Columbia for the industry that is ordered). RIMS II multipliers are typically updated annually with a new year of regional data, and every five years with new national benchmark input-output data.

Curated

Simple Crosstabs

Survey of Economic Expectations, United States, 1994-2002 (ICPSR 37651)

Released/updated on: 2020-07-14

Geographic coverage: United States

Time period: 1994-04-01--2002-11-30

During 1994-2002, the Survey of Economic Expectations (SEE) was a periodic module in WISCON, a continuous national telephone survey conducted by the University of Wisconsin Survey Center (UWSC). The WISCON core questions asked respondents about their labor market experiences, demographics, and household income. The SEE module elicited probabilistic expectations of significant personal events. In all waves of SEE, respondents were asked to report expectations for crime victimization, health insurance, employment, and income. In some waves, they were asked about returns on mutual-fund investments and about their future Social Security benefits. In waves 1 to 15, demographic information such as age, gender, and race was collected.

Curated

How Well Does Employment Predict Output? (ICPSR 20963)

Released/updated on: 2007-09-17

Geographic coverage: United States

Economists, policymakers, and financial market analysts typically pay close attention to aggregate employment trends because employment is thought to be an important indicator of macroeconomic conditions. One difficulty is that there are two separate surveys of employment, which can diverge widely from one another, as the previous and current economic expansions demonstrate. The conventional wisdom is that, for assessing economic conditions, the survey that counts the number of jobs (establishment survey) is preferable to the survey that counts the number of people employed (household survey). However, results from a one-quarter-ahead forecasting exercise presented in this paper suggest that analysts should question whether employment is a useful indicator for predicting output growth.