Accurate, real-time measurements of price index changes using electronic records are essential for tracking inflation and productivity in today's economic environment. We develop empirical hedonic models that can process large amounts of unstructured product data (text, images, prices,...

This paper uses machine learning (ML) to estimate hedonic price indices at scale from item-level transaction and product characteristics. The procedure uses state-of-the-art approaches from hedonic econometrics and implements them with a neural network ML approach. Applying the methodology to...

This paper explores alternative methods for adjusting price indices for quality change at scale. These methods can be applied to large-scale item-level transactions data that includes information on prices, quantities, and item attributes. The hedonic methods can take into account the changing...

The Optimal Price Index (OPI) stabilization policy traditionally assigns greater importance to stabilize prices in sectors with stickier prices based on multi-sector models with full information or exogenous information frictions. The current paper challenges this prevailing policy prescription...

The COVID-19 pandemic has caused a substantial increase in house price growth and its seasonal amplitude. This change has presented challenges to traditional seasonal adjustment methods, such as the U.S. Census Bureau's X-12 method. This study tests for residual seasonality in three major...

This study aimed to predict the JKII (Jakarta Islamic Index) price as a price index of sharia stocks and predict the loss risk. This study uses geometric Brownian motion (GBM) and Value at Risk (VaR; with the Monte Carlo Simulation approach) on the daily closing price of JKII from 1 August...

The development of Information and Communications Technology and digital economies has contributed to changes in the consumption of goods and services in various areas of life, affecting the growing expectations of users in relation to price statistics. Therefore, it is important to provide...

The present paper shows that product-specific regional price dispersion usually causes the Country-Product-Dummy (CPD) method to be biased. In cases where it is not, this index number method is still inefficient and inference is invalid. In view of this, a nonlinear generalization of the CPD...

One of the greatest challenges facing official statistics in the 21st century is the use of alternative sources of data about prices (scanned and scraped data) in the analysis of price dynamics, which also involves selecting the appropriate formula of the price index at the elementary group...

Empirical studies using micro data find that about two thirds of all product prices do not change in a given quarter. This evidence has been interpreted as indicating the absence of price indexation. Further, models of staggered price setting without indexation interpret all price changes as...

The major issue which we address in this paper is the one-size-fits-all nature of the typical city-level house price index. In this vein, we make two contributions. First, we develop a new algorithm to ensure feasible estimation of geographically granular repeat-sales house price indices in...

The big bang of non-fungible tokens (NFTs) has caused the birth of a brand new era for digital art. NFTs, driven by blockchain and smart contracts, provide both artists and art collectors an unprece- dented marketplace equipped with more security, flexibility, publicity, and freedom to monetize....

Inflation is usually measured using the Consumer Price Index (CPI) which is published by the National Statistical Service of Greece. Due to the fact, however, that the CPI is strongly influenced by various exogenous factors or by factors that are centrally administered, it is not always possible...

US inflation has reached its highest level in decades with academics and the media alike citing supply chain distortions and shortages in key commodities as the driving factors. While some work has been done evaluating the pass-through (PT) of producer to consumer prices, evidence in the...

This article analyzes the "Broadband Price Index" in Europe. The data were analyzed using econometric techniques. The value of the "Broadband Price Index" is positively associated with the DESI Index, and "Connectivity" while it is negatively associated with "Fixed Broadband Take Up", "Fixed...

This article analyzes the determinants of the "Broadband Price Index" in Europe. The data used refer to 28 European countries between 2014 and 2021. The database used is the Digital, Economy and Society Index-DESI of the European Commission. The data were analyzed using the following econometric...

The Housing Price Index (HPI) tracks residential home prices and quantities across the eight largest cities in India. The indices are constructed using quarterly survey data collected by Housing.com and are available from 2017-present. The survey includes information on price per square foot,...

We construct price indexes for treatment of a specific illness, acute phase major depression, using treatment episodes of care (rather than fixed input bundles) to define quantity. We identify different treatment service bundles that combine varying quantities of prescription drugs, medical...

This paper provides a justification for hedonic price indices and details the properties of hedonic price functions. The analysis is done in a market setting in which a finite number of goods, each defined by its characteristics, interact. We note that proper hedonic indices can be constructed...

This paper investigates the use of high-frequency scanner data to construct price indexes. In the presence of inventory behavior, purchases and consumption by individuals differ over time. Cost-of-living indexes can still be constructed using data on purchases. For weekly data on canned tuna,...

Due to outdated weighting information, a Laspeyres-based Consumer Price Index (CPI) is prone to accumulating upward bias. Therefore, the present study introduces and examines simple and transparent revision approaches that retrospectively address the source of the bias. They provide a consistent...

Hedonic house price indices adjust the average sales prices for the change in the quality of the property sold over time. This paper proposes a framework to disentangle the contribution of each individual dwelling characteristic to this quality change. We apply our framework to a unique dataset...

In a moment where humans produce an overwhelming quantity of information and are able to numerically analyze it, we propose to test whether markets are able to incorporate such amounts of information to prices. We transform four million news into a news index that has explanatory power over...

Many price indices must be constructed without quantity data at the elementary level. We show that for some consumer goods in the United States and other countries, one can approximate expenditure shares using weights derived from the retail distribution of sellers. These weights are based on...

We develop empirical models of hedonic prices and derive hedonic indices for measuring changes in customer welfare based upon deep learning. We first generate abstract product attributes, or "features," from text descriptions and images using deep neural networks, and then use these attributes...