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      <title>What is data analysis? A practical introduction with examples</title>
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      <description>Data analysis turns observations into answers. Learn the steps, common types of analysis and how to turn a question into a defensible conclusion.</description>
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      <title>Descriptive vs inferential statistics: the difference with examples</title>
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      <pubDate>Tue, 20 Oct 2026 00:00:00 +0000</pubDate>
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      <description>Descriptive statistics summarise observed data; inference makes claims beyond them. Compare examples, confidence intervals and the assumptions behind each.</description>
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      <title>Econometrics vs statistics: how they differ and overlap</title>
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      <pubDate>Tue, 20 Oct 2026 00:00:00 +0000</pubDate>
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      <description>Econometrics and statistics share methods. Compare their questions, assumptions and uses, with an example that separates prediction from a causal effect.</description>
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      <title>What is econometric analysis? From question to evidence</title>
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      <pubDate>Tue, 20 Oct 2026 00:00:00 +0000</pubDate>
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      <description>Econometric analysis connects an economic question to data, a model and defensible conclusions. Follow a practical workflow with a policy-evaluation example.</description>
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      <title>Exploratory data analysis: what to check before fitting a model</title>
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      <description>Exploratory data analysis checks a dataset&#39;s structure, missing values and unusual observations. Follow a practical checklist before choosing a model.</description>
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      <title>What is time series analysis? Patterns, models and forecasting</title>
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      <pubDate>Tue, 20 Oct 2026 00:00:00 +0000</pubDate>
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      <description>Time series analysis studies observations recorded over time. Learn about trends, seasonality, stationarity and how to evaluate forecasts without leakage.</description>
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      <title>How to read regression results: coefficients, uncertainty and fit</title>
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      <pubDate>Tue, 20 Oct 2026 00:00:00 +0000</pubDate>
      <category>Statistical inference</category>
      <description>Read a regression table in context: check the sample and units, interpret coefficients and confidence intervals, compare models and separate fit from causality.</description>
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      <title>What is econometrics? A plain-language introduction</title>
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      <pubDate>Mon, 19 Oct 2026 00:00:00 +0000</pubDate>
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      <description>Econometrics uses data and statistical methods to measure economic relationships, test theories and evaluate policies. Here is what that means in practice.</description>
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      <title>What is regression analysis? A worked example in Python</title>
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      <pubDate>Mon, 19 Oct 2026 00:00:00 +0000</pubDate>
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      <description>Regression analysis describes how the average of one variable changes with others. Learn to fit, read and question a linear regression, step by step.</description>
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      <title>Correlation vs causation in economics: from confounding to natural experiments</title>
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      <pubDate>Mon, 19 Oct 2026 00:00:00 +0000</pubDate>
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      <description>Why a regression coefficient is not automatically a causal effect, and how economists use experiments, instruments and natural experiments to find one.</description>
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      <title>What is panel data? Fixed effects, random effects and the Hausman test</title>
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      <pubDate>Mon, 19 Oct 2026 00:00:00 +0000</pubDate>
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      <description>Panel data follow the same units over time. Learn why that helps with unobserved differences, and how fixed effects, random effects and the Hausman test work.</description>
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      <title>P-values in economics: what they mean and what they do not</title>
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      <pubDate>Mon, 19 Oct 2026 00:00:00 +0000</pubDate>
      <category>Statistical inference</category>
      <description>A p-value measures how surprising the data would be under a null hypothesis. Learn to read it correctly, avoid common mistakes and report uncertainty well.</description>
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