Hannah B. holds a PhD in Economics from the University of Mannheim, Germany, awarded in 2017. She has 7 years of experience in economics and econometrics, and she works with students in English and German. At FIZ Business Solutions (FIZBS), she provides economics assignment help for undergraduate and postgraduate students in the UK and Saudi Arabia.
Economics assignments combine theory, diagrams, mathematics and real data, and students often find that one weak link pulls down the whole piece. Hannah explains concepts step by step, checks reasoning and calculations, and helps students interpret results in clear academic language.
She can support microeconomics, macroeconomics, econometrics, development, labour and international economics, from short problem sets to essays, empirical projects and dissertation chapters.
Economics assignments and modules Hannah supports
UK economics degrees use a wide range of assessment types. Hannah's economics assignment help covers the formats students meet most often:
- Microeconomics problem sets on consumer choice, firms and market structure
- Macroeconomics essays on growth, inflation, unemployment and monetary policy
- Econometrics projects using regression, panel data and time series
- Policy briefs and reports evaluating government interventions
- Development, labour, environmental and international economics essays
- Empirical dissertations and research proposals
Key theories, models and methods
Strong economics work shows that you understand the model, its assumptions and what the evidence says. Hannah helps students work confidently with:
- Supply and demand, elasticity, utility maximisation and cost curves
- Game theory, oligopoly models and market failure
- IS-LM, AD-AS, the Phillips curve and the Solow growth model
- Monetary and fiscal policy transmission, including the Taylor rule
- OLS regression, hypothesis testing and interpreting coefficients
- Heteroskedasticity, autocorrelation, endogeneity and instrumental variables
- Panel data with fixed and random effects, difference-in-differences, ARIMA and unit root tests
- Working in Stata, R, EViews or Excel for empirical tasks
Common mistakes and what UK markers look for
Many students describe a diagram without explaining the mechanism behind it, or quote a regression coefficient without discussing its economic meaning, significance or possible bias. Other frequent issues include ignoring model assumptions, using outdated data, confusing correlation with causation, and essays that list arguments on each side without reaching a reasoned conclusion.
UK markers typically reward accurate, well-labelled diagrams, a clear chain of economic reasoning, use of current data from sources such as the ONS, Bank of England, World Bank or IMF, and critical evaluation of policy trade-offs. In econometrics, they look for correct specification, appropriate diagnostic tests and honest discussion of limitations. Hannah reviews your work with these criteria in mind.
Example economics topics
Choosing a focused question with available data is half the battle for an empirical project. Examples Hannah can help students explore include:
- The effect of minimum wage increases on employment in the UK
- Oil price shocks and economic diversification in Saudi Arabia under Vision 2030
- Bank of England interest rate decisions and UK inflation since 2021
- Determinants of house prices across UK regions using panel data
- Foreign direct investment and growth in emerging economies
- Behavioural economics and nudges in pension saving
Support with empirical projects and data
Empirical work is where many economics students feel least confident. Finding the right dataset, cleaning it, choosing a model and then explaining the results can take far longer than expected. Hannah breaks this process into manageable steps and explains the reasoning behind each choice, so you understand your own analysis and can defend it in a viva or tutor meeting.
- Identifying suitable data from sources such as the ONS, Eurostat, FRED, the World Bank or the UK Data Service
- Preparing and cleaning data, handling missing values and creating variables
- Choosing an estimation method that matches your research question and data structure
- Running and checking diagnostic tests, then explaining what they mean
- Presenting regression tables and charts in a clear academic format
- Writing up results, limitations and policy implications in plain, precise language
How working with FIZBS works
Send your brief, any datasets and your marking criteria on WhatsApp. FIZBS reviews the task and confirms whether Hannah is available for your deadline.
You get a clear price from £20 per 1,000 words, depending on level, complexity and timeframe. You pay 50% to start and 50% on completion, and you receive updates until the deadline.
Support can include explanation of theory and methods, guidance on interpreting output, review of your draft and calculations, editing and referencing help.