Applied Impact Evaluation

Unit 1 – Impact Evaluation: An Introduction

Unit 2 – Causal Inference & Counterfactuals

Unit 3 – Experimental Designs

Unit 4 – Quasi–Experimental Designs

Unit 5 – Data Collection and Measurement

Unit 6 – Statistical Analysis in Impact Evaluation

Unit 7 – Econometric Methods for Impact Analysis

Unit 8 – Cost-Effectiveness & Cost-Benefit Analysis

Unit 9 – Impact Evaluation in Practice

Unit 10 – Impact Evaluation: Sector-Specific Applications

Unit 11 – Advanced Topics in Impact Evaluation

Unit 12 – Dissemination and Policy Impact

## What do you learn in Applied Impact Evaluation

You'll learn how to measure the effectiveness of business strategies and interventions. The course covers experimental design, data collection methods, statistical analysis techniques, and how to interpret results. You'll also explore real-world case studies and learn to critically evaluate impact evaluations in various business contexts.

## Is Applied Impact Evaluation hard?

It can be challenging, especially if you're not a stats whiz. The concepts aren't too bad, but applying them to real-world scenarios can get tricky. Some students find the data analysis part tough, while others struggle with designing experiments. But don't worry, most people get the hang of it with practice.

## Tips for taking Applied Impact Evaluation in college

1. Use [Fiveable Study Guides](https://fiveable.me/cram-mode) to help you cram 🌶️
2. Practice, practice, practice with real datasets
3. Form study groups to discuss case studies
4. Master statistical software like R or STATA early on
5. Keep up with current business news for relevant examples
6. Break down complex experiments into smaller steps
7. Create visual aids to understand experimental designs
8. Watch "Freakonomics" for fun examples of impact evaluation in action

## Common pre-requisites for Applied Impact Evaluation

1. Introduction to Statistics: Covers basic statistical concepts, probability theory, and hypothesis testing. It's the foundation for understanding more complex analytical methods.

2. Research Methods: Teaches various research designs, data collection techniques, and ethical considerations in research. This course helps you understand the basics of designing studies and experiments.

3. Microeconomics: Explores individual decision-making and market interactions. It provides a theoretical framework for understanding why and how interventions might affect behavior.

## Classes similar to Applied Impact Evaluation

1. Data-Driven Decision Making: Focuses on using data analytics to inform business decisions. You'll learn how to collect, analyze, and interpret data to solve real-world business problems.

2. Behavioral Economics: Explores how psychological, cognitive, and emotional factors influence economic decisions. It's a great complement to impact evaluation, offering insights into why interventions work (or don't).

3. Business Analytics: Covers advanced statistical and quantitative methods used in business. You'll learn predictive modeling, data mining, and optimization techniques.

4. Experimental Design in Business: Dives deep into creating and implementing experiments to test business hypotheses. It's like impact evaluation's cooler, more hands-on cousin.

## Majors related to Applied Impact Evaluation

1. Business Analytics: Focuses on using data and statistical analysis to drive business decisions. Students learn to apply quantitative methods to solve complex business problems.

2. Economics: Studies how individuals, businesses, and governments allocate resources. Students gain a deep understanding of market forces, decision-making processes, and policy impacts.

3. Public Policy: Examines how governments address social issues through policies and programs. Students learn to analyze policy effectiveness and design evidence-based solutions.

4. International Development: Explores strategies for improving economic and social conditions in developing countries. Students study how to design, implement, and evaluate development programs.

## What can you do with a degree in Applied Impact Evaluation?

1. Impact Evaluation Specialist: Designs and conducts studies to measure the effectiveness of programs or interventions. They work with organizations to determine if their initiatives are making a real difference.

2. Data Analyst: Collects, processes, and performs statistical analyses on large datasets. They help companies make data-driven decisions by interpreting complex data and presenting insights.

3. Policy Researcher: Conducts research to inform policy decisions in government or non-profit organizations. They use impact evaluation techniques to assess the effectiveness of existing policies and propose new ones.

4. Management Consultant: Helps businesses improve their performance through objective analysis and advice. They often use impact evaluation methods to measure the success of their recommended strategies.

## Applied Impact Evaluation FAQs

1. How much math is involved in this course? While you don't need to be a math genius, a solid grasp of statistics and basic algebra is crucial. The course focuses more on applying mathematical concepts than deriving formulas.

2. Can I use the skills from this class in non-business fields? Absolutely! Impact evaluation techniques are widely used in fields like public health, education, and social services.

3. Are there any group projects in this course? Most Applied Impact Evaluation courses include at least one group project. It's a great way to tackle a complex evaluation problem and practice collaboration skills.

4. How does this course differ from a regular statistics class? While statistics is a key component, this course focuses on applying statistical methods to real-world business problems and interpreting results in a business context.

Business Management

1.2 Importance and applications of impact evaluation

1.1 Overview of impact evaluation

1.3 Key concepts and terminology

2.3 Selection bias and confounding factors

2.2 Counterfactuals and the potential outcomes framework

2.1 Causal inference in impact evaluation

3.2 Cluster randomized trials

3.3 Factorial designs and multi-arm trials

3.4 Ethical considerations in experimental designs

3.1 Randomized controlled trials (RCTs)

4.4 Instrumental variables (IV)

4.2 Regression discontinuity design (RDD)

4.3 Propensity score matching (PSM)

4.1 Difference-in-differences (DID)

5.3 Measuring outcomes and indicators

5.4 Data quality assurance and management

5.1 Designing surveys and questionnaires

5.2 Sampling techniques and power calculations

6.1 Descriptive statistics and data visualization

6.2 Regression analysis for impact estimation

6.3 Handling missing data and attrition

6.4 Subgroup analysis and heterogeneous treatment effects

7.1 Panel data analysis

7.2 Fixed effects and random effects models

7.3 Instrumental variables estimation

7.4 Regression discontinuity analysis

8.2 Measuring costs and benefits

8.3 Interpreting and presenting results

8.1 Concepts of cost-effectiveness and cost-benefit analysis

9.1 Designing and implementing impact evaluations

9.2 Monitoring and evaluation frameworks

9.4 Scaling up and replicating successful interventions

9.3 Stakeholder engagement and communication

10.4 Impact evaluation in social protection and labor

10.2 Impact evaluation in education

10.3 Impact evaluation in agriculture and rural development

10.1 Impact evaluation in health and nutrition

11.1 Spillover effects and general equilibrium analysis

11.3 Machine learning and big data in impact evaluation

11.2 Behavioral insights and nudges

11.4 Long-term and intergenerational effects

12.1 Communicating impact evaluation results

12.2 Engaging policymakers and influencing decision-making

12.3 Building capacity for impact evaluation

12.4 Future directions and challenges in impact evaluation

Browse all Applied Impact Evaluation Key Terms

About Us

Resources

Stay Connected

© 2024 Fiveable Inc. All rights reserved.

AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.

About Us

Resources

© 2024 Fiveable Inc. All rights reserved.

AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.

Back

Next