Chain-Weighted Rate of Inflation Calculator & Guide
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Calculate Chain-Weighted Inflation
Inflation Rate (Chain-Weighted)
–%
Period 1 Real Value
—
Period 2 Real Value
—
Average Price Index
—
Implicit Price Deflator (Period 1)
—
Implicit Price Deflator (Period 2)
—
Chain-Weighted Inflation Rate = [(Real Value Period 2 / Real Value Period 1) – 1] * 100%
Real Value = Nominal Value / Implicit Price Deflator (scaled by Base Index, e.g., 100)
Implicit Price Deflator = Nominal Value / Real Value (scaled by Base Index)
Inflation Trend Over Time
Visualizing the calculated chain-weighted inflation rate against a base price index.
What is Chain-Weighted Rate of Inflation?
The chain-weighted rate of inflation is a sophisticated method for measuring the change in the general price level of goods and services in an economy over time. Unlike simpler measures that use a fixed basket of goods from a single base year, chain-weighted methods update the basket of goods and services frequently, typically annually, to reflect changes in consumption patterns. This is crucial because consumers and businesses naturally adjust their purchasing habits in response to changing prices and the availability of new products. By "chaining" together these inflation rates calculated with updated baskets, economists aim to create a more accurate and up-to-date picture of true inflation.
This method is particularly useful for understanding the impact of evolving consumer behavior on inflation metrics. When prices of certain goods rise significantly, consumers tend to substitute them with cheaper alternatives. A fixed-basket approach would overstate inflation because it assumes consumers continue buying the now-expensive goods. A chain-weighted approach accounts for this substitution effect, providing a more realistic measure of the cost of living and the purchasing power of money.
Who should use it? This metric is primarily used by economists, central banks, government statistical agencies, and financial analysts to formulate monetary policy, adjust economic forecasts, and understand real economic growth. While not typically used by individual consumers for everyday budgeting, understanding chain-weighted inflation helps in grasping the nuances of official inflation statistics reported by news outlets and government bodies.
Common misconceptions about chain-weighted inflation include assuming it's identical to CPI (Consumer Price Index) or that it always produces lower inflation figures. While chain-weighted methods aim for greater accuracy and can mitigate the "substitution bias" found in fixed-basket measures, the actual rate depends on the specific data and the magnitude of shifts in consumption. It's a refinement, not a fundamentally different concept from measuring price level changes.
Chain-Weighted Rate of Inflation Formula and Mathematical Explanation
The chain-weighted method constructs a series of price indexes by averaging price relatives from adjacent time periods, using quantity weights that are themselves averages from adjacent time periods. This creates a "chain" where each period's price level is linked to the previous one.
The core idea is to reflect both changes in prices and changes in the composition of goods and services consumed.
Let $P_{it}$ be the price of good $i$ in period $t$, and $Q_{it}$ be the quantity of good $i$ in period $t$.
Step 1: Calculate the Nominal Value (Current Dollar Value) for each period.
Nominal Value ($NV_t$) = $\sum_{i} (P_{it} \times Q_{it})$
Step 2: Calculate the Real Value (Constant Dollar Value) for each period.
To do this, we need a price index. In a chain-weighted system, we often use an "implicit price deflator" which is derived from the nominal and real values themselves, often linked to a base period. Let's simplify for our calculator's purpose and consider the real value relative to a base index (e.g., 100).
Real Value ($RV_t$) = Nominal Value ($NV_t$) / Price Index ($PI_t$) * Base Price Index (e.g., 100)
For our calculator:
$RV_1 = \frac{NV_1}{PI_1} \times 100$
$RV_2 = \frac{NV_2}{PI_2} \times 100$
Where $NV_1$ and $NV_2$ are the total nominal values for Period 1 and Period 2 respectively, and $PI_1$ and $PI_2$ are the price indexes for Period 1 and Period 2. In our simplified calculator, $NV_1$ and $NV_2$ are the `period1Value` and `period2Value` inputs.
Step 3: Calculate the Chain-Weighted Inflation Rate.
The inflation rate between Period 1 and Period 2 is calculated based on the change in the *real* value, adjusted for the relative price levels. A common approximation or related concept used in practice for simplicity, and what our calculator focuses on for ease of input, is derived from the ratio of real values:
Chain-Weighted Inflation Rate = $\left( \frac{RV_2}{RV_1} – 1 \right) \times 100\%$
Substituting the expressions for $RV_1$ and $RV_2$:
Chain-Weighted Inflation Rate = $\left( \frac{NV_2 / PI_2}{NV_1 / PI_1} – 1 \right) \times 100\%$
Chain-Weighted Inflation Rate = $\left( \frac{NV_2 \times PI_1}{NV_1 \times PI_2} – 1 \right) \times 100\%$
This simplified calculation highlights the core idea: measuring the change in purchasing power.
*Note*: True official chain-weighted indexes (like GDP deflators) use more complex averaging techniques (e.g., Fisher index or Törnqvist index) and require detailed quantity data for *both* periods to compute average weights. Our calculator simplifies this by using the ratio of real values calculated using period-specific price indexes and nominal values, reflecting the *effective* change in the value of goods due to price shifts.
Variables Table
| Variable |
Meaning |
Unit |
Typical Range/Notes |
| Period 1 Value (Nominal) |
Total monetary value of goods/services in the initial period. |
Currency Unit (e.g., USD, EUR) |
Positive number (e.g., 1000.00) |
| Period 2 Value (Nominal) |
Total monetary value of goods/services in the subsequent period. |
Currency Unit (e.g., USD, EUR) |
Positive number (e.g., 1055.00) |
| Period 1 Price Index |
A measure of the average level of prices for goods/services in Period 1 relative to a base period. |
Index Points (e.g., 100) |
Often set to 100 for the base period. Positive number. |
| Period 2 Price Index |
A measure of the average level of prices for goods/services in Period 2 relative to a base period. |
Index Points (e.g., 103) |
Positive number, typically higher than Period 1 Index if inflation occurred. |
| Period 1 Weights |
Proportion of total spending or production allocated to different goods/services in Period 1. |
Decimal (0 to 1) |
List of decimals summing to 1.0 (e.g., 0.4, 0.6). Reflects consumption basket. |
| Period 2 Weights |
Proportion of total spending or production allocated to different goods/services in Period 2. |
Decimal (0 to 1) |
List of decimals summing to 1.0 (e.g., 0.45, 0.55). Reflects consumption basket. |
| Period 1 Real Value |
The value of Period 1's goods/services adjusted for price changes relative to the base period index. |
Currency Unit (e.g., USD, EUR) |
Calculated value. |
| Period 2 Real Value |
The value of Period 2's goods/services adjusted for price changes relative to the base period index. |
Currency Unit (e.g., USD, EUR) |
Calculated value. |
| Average Price Index |
Average of the price indexes for the two periods. Used in some advanced calculations. |
Index Points |
Calculated value. |
| Implicit Price Deflator |
Ratio of nominal value to real value, indicating the price level. |
Index Points |
Calculated value for each period. |
| Chain-Weighted Inflation Rate |
The percentage change in the real value of goods and services between two periods. |
Percentage (%) |
Calculated percentage. |
Practical Examples (Real-World Use Cases)
Example 1: Consumer Spending Shift
Imagine a simplified economy.
Period 1 (Year 1): Total consumer spending (Nominal Value) is $1,000 billion. The Price Index is 100. The consumption basket weights are 50% for Food and 50% for Electronics.
Period 2 (Year 2): Total consumer spending (Nominal Value) is $1,050 billion. Due to new product releases and increased demand, the Price Index rises to 105. Consumers have shifted their spending: 40% on Food and 60% on Electronics.
Calculation using the calculator inputs:
- Period 1 Value: 1000
- Period 2 Value: 1050
- Period 1 Weights: 0.5, 0.5
- Period 2 Weights: 0.4, 0.6
- Price Index 1: 100
- Price Index 2: 105
Results:
- Period 1 Real Value: ($1000 / 100) * 100 = $1000 billion
- Period 2 Real Value: ($1050 / 105) * 100 = $1000 billion
- Chain-Weighted Inflation Rate: [($1000 / $1000) – 1] * 100% = 0.0%
Interpretation: Despite nominal spending increasing by 5% and the price index rising by 5%, the chain-weighted inflation rate is 0%. This indicates that the real value of goods and services consumed remained constant. The increase in nominal spending perfectly offset the rise in the average price level, *even with a significant shift in the consumption basket towards a relatively more expensive category (Electronics)*. This highlights how chain-weighting captures substitution effects: consumers bought less of the relatively pricier Food and more of the now relatively cheaper Electronics (in terms of their value contribution).
Example 2: Technological Advancements and Price Drops
Period 1 (Year 1): A nation's GDP (Nominal Value) is $5,000 billion. The Price Index is 120. The basket composition is 60% Services and 40% Technology Goods.
Period 2 (Year 2): GDP (Nominal Value) grows to $5,300 billion. Technological advancements lead to falling prices in that sector, while services prices increase modestly. The overall Price Index is 123. The basket has shifted to 65% Services and 35% Technology Goods.
Calculation using the calculator inputs:
- Period 1 Value: 5000
- Period 2 Value: 5300
- Period 1 Weights: 0.6, 0.4
- Period 2 Weights: 0.65, 0.35
- Price Index 1: 120
- Price Index 2: 123
Results:
- Period 1 Real Value: ($5000 / 120) * 100 = $4166.67 billion
- Period 2 Real Value: ($5300 / 123) * 100 = $4308.94 billion
- Chain-Weighted Inflation Rate: [($4308.94 / $4166.67) – 1] * 100% = 3.41%
Interpretation: The chain-weighted inflation rate is approximately 3.41%. This reflects a combination of factors: the rise in nominal GDP, the increase in the overall price index (driven partly by services), and the shift in the basket towards services (which may have had their own price changes). The calculator shows that the real output of the economy, after accounting for price changes and shifts in production/consumption patterns, grew significantly. This measure provides a more accurate picture of economic expansion than simply looking at nominal GDP growth or a fixed-basket inflation rate.
How to Use This Chain-Weighted Inflation Calculator
- Gather Your Data: You will need the nominal total value (e.g., GDP, total consumption spending) for two consecutive periods (Period 1 and Period 2). You also need the corresponding price index values for both periods. Additionally, you need the breakdown of spending or production (weights) for the goods/services within each period.
- Input Nominal Values: Enter the total nominal value for Period 1 into the 'Value at Start of Period 1' field and for Period 2 into the 'Value at End of Period 2' field.
- Input Price Indexes: Enter the price index value for Period 1 and Period 2 into their respective fields. Typically, the base period index is 100.
- Input Weights: Enter the weights for each component of the basket in Period 1, separated by commas (e.g., 0.5, 0.3, 0.2). Ensure these decimals sum to 1.0. Repeat this for Period 2.
- View Results: The calculator will automatically update and display the primary result: the Chain-Weighted Rate of Inflation (%). It will also show key intermediate values like the Real Value for each period and the Average Price Index.
- Understand the Formula: A brief explanation of the underlying formula is provided below the results. It emphasizes the calculation of real values and their ratio.
- Visualize the Trend: The chart dynamically updates to show how the calculated inflation rate compares to the price index movement over the two periods.
- Reset or Copy: Use the 'Reset' button to clear the fields and start over. Use 'Copy Results' to copy the key figures to your clipboard.
Decision-Making Guidance: A positive inflation rate suggests that the cost of goods and services is increasing, eroding purchasing power. A negative rate (deflation) indicates falling prices. The chain-weighted method helps ensure this measurement is as accurate as possible by accounting for how people's buying habits change over time. A higher rate may prompt central banks to consider interest rate hikes, while a lower or negative rate might suggest monetary easing. Businesses use this to adjust pricing strategies and forecast costs.
Key Factors That Affect Chain-Weighted Inflation Results
- Shifts in Consumption/Production Patterns: This is the defining factor. As consumers buy more of cheaper goods or less of expensive ones, or as production shifts, the weights change. If spending shifts towards goods whose prices are rising faster, overall inflation appears higher. Conversely, a shift towards goods with falling prices can lower the measured rate. This is the primary advantage of the chain-weighted approach over fixed-basket methods.
- Actual Price Changes: The fundamental driver. Increases in the prices of goods and services directly contribute to inflation. The magnitude and breadth of these price increases across different items matter significantly.
- Price Index Accuracy: The accuracy of the underlying price indexes used for each period is critical. If the data collection or methodology for calculating price indexes is flawed, the resulting inflation rate will be inaccurate.
- Frequency of Weight Updates: Chain-weighted methods rely on updating weights periodically (e.g., annually). If significant economic shifts occur between updates, the measure might lag behind actual consumption patterns, though it's still generally better than a fixed-basket approach.
- Introduction of New Goods/Services: New products can affect inflation. If a new, desirable good enters the market at a high price, it might initially increase measured inflation until its price falls or substitutes emerge. Conversely, innovations leading to cheaper alternatives can dampen inflation.
- Quality Improvements: When the quality of goods improves over time, the effective price might decrease even if the nominal price stays the same or increases slightly. Accurately accounting for quality changes within price indexes is complex but impacts the real value calculation and thus inflation measurement.
- Base Effects: The choice of the base period for the price index (often set to 100) influences the absolute level of the index, but the *rate of change* (inflation) between periods is generally less sensitive to the specific base period itself, as long as the calculation methodology is consistent.
- Economic Shocks: Unforeseen events like natural disasters, geopolitical conflicts, or pandemics can drastically alter price levels and consumption patterns, leading to volatility in calculated inflation rates. Chain-weighted measures attempt to adapt more quickly to these shifts than fixed-basket methods.
Frequently Asked Questions (FAQ)
What is the difference between chain-weighted inflation and CPI?
The Consumer Price Index (CPI) typically uses a fixed basket of goods and services determined from consumer expenditure surveys. Chain-weighted methods, while also aiming to reflect consumer choices, update the basket more frequently (often annually) to account for substitutions. This dynamic updating helps mitigate "substitution bias," where a fixed basket might overstate inflation if consumers switch to cheaper alternatives. Official statistics like the GDP deflator often use chain-weighted methodologies.
Does chain-weighted inflation always result in lower numbers than fixed-basket inflation?
Not necessarily. While chain-weighted methods can reduce overstatement caused by substitution bias (leading to lower inflation figures in that specific regard), the overall result depends on the actual price movements and the direction of substitution. If consumers shift towards goods whose prices are rising rapidly, chain-weighted inflation could potentially be higher than a fixed-basket measure that doesn't capture this shift.
Why are weights important in chain-weighted inflation?
Weights represent the relative importance of different goods and services in the economy or consumer budget. In chain-weighted calculations, these weights are updated to reflect changes in consumption or production patterns over time. This ensures that the inflation measure gives appropriate significance to the goods and services people are actually buying or producing.
Can I use this calculator for historical inflation?
This calculator is designed to compute the inflation rate between *two specific periods* for which you have data. To calculate historical inflation over multiple periods, you would need to run the calculation iteratively for each adjacent pair of periods and potentially use the results to plot a longer-term trend.
What does a negative chain-weighted inflation rate mean?
A negative chain-weighted inflation rate indicates deflation. This means the general price level of goods and services has decreased between the two periods, considering the changes in consumption patterns. While falling prices might seem good, sustained deflation can be harmful to an economy.
How does this differ from a Laspeyres or Paasche index?
A Laspeyres index uses a fixed basket from the base period (Period 1 weights) to measure price changes in subsequent periods. A Paasche index uses weights from the current period (Period 2 weights). Chain-weighted methods often try to overcome the limitations of both by using average weights or linking indexes calculated with different weighting schemes. Our simplified calculator focuses on the ratio of real values derived from period-specific data.
What are implicit price deflators?
Implicit Price Deflators (IPDs) are price indexes derived implicitly from the ratio of nominal GDP (or another aggregate) to real GDP. IPD = (Nominal GDP / Real GDP) * 100. They reflect the price level of all goods and services produced in an economy. Chain-weighted measures often utilize updated versions of these concepts.
Does chain-weighting account for quality changes?
Ideally, the underlying price indexes used in chain-weighted calculations should attempt to account for quality changes (through methods like hedonic adjustments). However, the effectiveness depends on the specific methodologies employed by statistical agencies. Simple applications may not fully capture quality improvements.
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var period1WeightsStr = getElement("period1Weights").value;
var period2WeightsStr = getElement("period2Weights").value;
var priceIndex1 = getElement("priceIndex1").value;
var priceIndex2 = getElement("priceIndex2").value;
// Reset error messages
getElement("period1ValueError").textContent = ";
getElement("period2ValueError").textContent = ";
getElement("period1WeightsError").textContent = ";
getElement("period2WeightsError").textContent = ";
getElement("priceIndex1Error").textContent = ";
getElement("priceIndex2Error").textContent = ";
// Validation
var isValid = true;
if (!validateInput(period1Value, "period1Value", "period1ValueError", false, false)) isValid = false;
if (!validateInput(period2Value, "period2Value", "period2ValueError", false, false)) isValid = false;
var period1Weights = validateWeights(period1WeightsStr, "period1WeightsError", "Period 1");
if (period1Weights === false) isValid = false;
var period2Weights = validateWeights(period2WeightsStr, "period2WeightsError", "Period 2");
if (period2Weights === false) isValid = false;
if (!validateInput(priceIndex1, "priceIndex1", "priceIndex1Error", false, false, { min: 0.001 })) isValid = false; // Price index should be positive
if (!validateInput(priceIndex2, "priceIndex2", "priceIndex2Error", false, false, { min: 0.001 })) isValid = false; // Price index should be positive
if (!isValid) {
// Clear results if validation fails
getElement("primaryResult").textContent = '–%';
getElement("period1RealValue").textContent = '–';
getElement("period2RealValue").textContent = '–';
getElement("averagePriceIndex").textContent = '–';
getElement("implicitPriceDeflator1").textContent = '–';
getElement("implicitPriceDeflator2").textContent = '–';
updateChart([0, 0], [0, 0], [0, 0]); // Clear chart
return;
}
var numPeriod1Value = parseFloat(period1Value);
var numPeriod2Value = parseFloat(period2Value);
var numPriceIndex1 = parseFloat(priceIndex1);
var numPriceIndex2 = parseFloat(priceIndex2);
// Calculate Real Values (scaled by 100 for clarity, assuming base index of 100)
var realValue1 = (numPeriod1Value / numPriceIndex1) * 100;
var realValue2 = (numPeriod2Value / numPriceIndex2) * 100;
// Calculate Average Price Index
var avgPriceIndex = (numPriceIndex1 + numPriceIndex2) / 2;
// Calculate Implicit Price Deflators (scaled by 100)
var ipd1 = (numPeriod1Value / realValue1) * 100;
var ipd2 = (numPeriod2Value / realValue2) * 100;
// Calculate Chain-Weighted Inflation Rate
var inflationRate = 0;
if (realValue1 !== 0) { // Avoid division by zero
inflationRate = ((realValue2 / realValue1) – 1) * 100;
}
getElement("primaryResult").textContent = inflationRate.toFixed(2) + '%';
getElement("period1RealValue").textContent = realValue1.toFixed(2);
getElement("period2RealValue").textContent = realValue2.toFixed(2);
getElement("averagePriceIndex").textContent = avgPriceIndex.toFixed(2);
getElement("implicitPriceDeflator1").textContent = ipd1.toFixed(2);
getElement("implicitPriceDeflator2").textContent = ipd2.toFixed(2);
// Update Chart
updateChart(
[numPriceIndex1, numPriceIndex2], // Price Index Series
[realValue1, realValue2], // Real Value Series (relative to base 100)
[inflationRate] // Inflation Rate (as a single point for this comparison)
);
}
function updateChart(priceIndexes, realValues, inflationRates) {
var ctx = getElement("inflationChart").getContext("2d");
if (window.myInflationChart) {
window.myInflationChart.destroy();
}
// Scale real values for better visualization against price index
var scaledRealValues = [];
var baseRealValue = realValues[0] || 1; // Use first real value as base if available
if (baseRealValue === 0) baseRealValue = 1; // Prevent division by zero
scaledRealValues.push(100); // Base scaled real value at 100
if (realValues.length > 1) {
scaledRealValues.push((realValues[1] / baseRealValue) * 100);
}
var inflationRateValue = inflationRates.length > 0 ? inflationRates[0] : 0;
// Create a "simulated" series for inflation rate for charting purposes
// We'll plot the price index and the scaled real value series
// The inflation rate itself is the percentage difference between these two effectively
window.myInflationChart = new Chart(ctx, {
type: 'line',
data: {
labels: ['Period 1', 'Period 2'],
datasets: [{
label: 'Price Index',
data: priceIndexes,
borderColor: 'rgb(75, 192, 192)',
backgroundColor: 'rgba(75, 192, 192, 0.2)',
tension: 0.1,
fill: false
}, {
label: 'Real Value (Scaled)',
data: scaledRealValues, // Plot scaled real value
borderColor: 'rgb(255, 99, 132)',
backgroundColor: 'rgba(255, 99, 132, 0.2)',
tension: 0.1,
fill: false
}]
},
options: {
responsive: true,
maintainAspectRatio: true,
scales: {
y: {
beginAtZero: false,
title: {
display: true,
text: 'Index Value / Scaled Real Value'
}
}
},
plugins: {
title: {
display: true,
text: 'Price Index vs. Scaled Real Value Over Time'
},
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || ";
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += context.parsed.y.toFixed(2);
}
return label;
}
}
}
}
}
});
}
function copyResults() {
var primaryResult = getElement("primaryResult").textContent;
var period1RealValue = getElement("period1RealValue").textContent;
var period2RealValue = getElement("period2RealValue").textContent;
var avgPriceIndex = getElement("averagePriceIndex").textContent;
var ipd1 = getElement("implicitPriceDeflator1").textContent;
var ipd2 = getElement("implicitPriceDeflator2").textContent;
var period1Value = getElement("period1Value").value;
var period2Value = getElement("period2Value").value;
var period1Weights = getElement("period1Weights").value;
var period2Weights = getElement("period2Weights").value;
var priceIndex1 = getElement("priceIndex1").value;
var priceIndex2 = getElement("priceIndex2").value;
var textToCopy = "Chain-Weighted Inflation Calculation Results:\n\n";
textToCopy += "Primary Result:\n";
textToCopy += "Chain-Weighted Inflation Rate: " + primaryResult + "\n\n";
textToCopy += "Key Values:\n";
textToCopy += "Period 1 Real Value: " + period1RealValue + "\n";
textToCopy += "Period 2 Real Value: " + period2RealValue + "\n";
textToCopy += "Average Price Index: " + avgPriceIndex + "\n";
textToCopy += "Implicit Price Deflator (Period 1): " + ipd1 + "\n";
textToCopy += "Implicit Price Deflator (Period 2): " + ipd2 + "\n\n";
textToCopy += "Assumptions/Inputs:\n";
textToCopy += "Value Period 1: " + period1Value + "\n";
textToCopy += "Value Period 2: " + period2Value + "\n";
textToCopy += "Weights Period 1: " + period1Weights + "\n";
textToCopy += "Weights Period 2: " + period2Weights + "\n";
textToCopy += "Price Index Period 1: " + priceIndex1 + "\n";
textToCopy += "Price Index Period 2: " + priceIndex2 + "\n";
navigator.clipboard.writeText(textToCopy).then(function() {
alert('Results copied to clipboard!');
}, function() {
alert('Failed to copy results. Please copy manually.');
});
}
function resetCalculator() {
getElement("period1Value").value = "100.00";
getElement("period2Value").value = "105.50";
getElement("period1Weights").value = "0.5, 0.5";
getElement("period2Weights").value = "0.45, 0.55";
getElement("priceIndex1").value = "100";
getElement("priceIndex2").value = "103";
// Clear errors
getElement("period1ValueError").textContent = ";
getElement("period2ValueError").textContent = ";
getElement("period1WeightsError").textContent = ";
getElement("period2WeightsError").textContent = ";
getElement("priceIndex1Error").textContent = ";
getElement("priceIndex2Error").textContent = ";
calculateInflation(); // Recalculate with defaults
}
// Initialize chart library if not already present
if (typeof Chart === 'undefined') {
var script = document.createElement('script');
script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js';
script.onload = function() {
calculateInflation(); // Ensure calculation happens after chart library is loaded
};
document.head.appendChild(script);
} else {
// If Chart is already loaded, just calculate initially
document.addEventListener("DOMContentLoaded", function() {
calculateInflation();
});
}
// FAQ Toggle functionality
var faqItems = document.querySelectorAll('.faq-item');
faqItems.forEach(function(item) {
var question = item.querySelector('.faq-question');
question.addEventListener('click', function() {
item.classList.toggle('open');
});
});