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Final Quantitative Reasoning Project: Planning a Sesquicentennial Celebration part of Examples
This final project gives students the opportunity to apply unit conversions, geometry, estimation, and personal finance modeling in one cohesive, real world analysis.
Assessing the Measurement and Validity of Ambiguous Concepts in Ethnic Conflict Datasets part of Examples
This assignment introduces students to commonly used datasets in ethnic conflict studies. It also encourages them to think critically about data quality and measurement challenges when using large datasets.
Building an Electoral Dataset and Testing Hypotheses with the Data part of Examples
Undergraduate student project for building datasets and analyzing the electoral, party system, and mass behavioral characteristics for a set of countries.
The Logic of Congressional Elections part of Examples
A variety of quantitative approaches to Congressional elections in which students learn the causes of electoral outcomes, the predictability of those outcomes, and intervening variables that produce unexpected outcomes.
Comparison of GDP and the Human Development Index (HDI). part of Examples
This assignment exposes students to data on economic growth anddevelopment as commonly measured by per capita GDP and the HumanDevelopment Index (HDI) for 100 countries of the world. There is a bigdebate about how good an indicator HDI is compared to GDP per capita asa measure of development.
What is the main issue we face as a society? part of Examples
Quantitative Review of an Article part of Examples
Students will read an academic article critically and write a review of the article.
Empirical Economics Research Proposal part of Examples
This assignment asks students to propose an original research question and identify data that could be used to answer that question.
Analyzing the Last Five Years of the US Economy for an Intermediate Macro Course part of Examples
Intermediate students are asked to analyze data on the components of consumption and investment expenditures and explanatory variables based on textbook models of each. Students look for rough correlations between the explanatory and dependent variables.