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Elasticity Estimates Research Articles

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2891 Articles

Published in last 50 years

Related Topics

  • Estimates Of Price Elasticities
  • Estimates Of Price Elasticities
  • Price Elasticity Of Demand
  • Price Elasticity Of Demand
  • Elasticity Of Demand
  • Elasticity Of Demand
  • Price Elasticity
  • Price Elasticity
  • Income Elasticity
  • Income Elasticity

Articles published on Elasticity Estimates

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Quantile Gravity: Economic Integration Agreements, Least Traded Goods, and Less Developed Economies

ABSTRACTGravity‐equation estimates of the elasticity of trade with respect to bilateral trade costs – or of coefficient estimates of binary variables for the presence or absence of economic integration agreements (EIAs) – are central to determining quantitatively economic welfare impacts of trade‐policy liberalizations. Despite decades of study, trade economists have largely focused on conditional mean estimates of a (constant) trade elasticity or of an EIA dummy variable's (common) effect in a “gravity‐equation” specification. In this paper, we provide a novel panel‐data quantile regression approach to estimating EIAs' partial effects across (conditional) quantiles that avoids Jensen's Inequality, avoids the incidental parameters problem associated with three‐way fixed effects, and allows zeros. To motivate the potential economic usefulness of our approach, we examine two distinct “cases.” First, using quantile regressions across a broad swath of country‐pairs and EIAs at the disaggregated trade‐flow level, we provide systematic evidence that supports the Arkolakis (2010) proposition; trade‐flow growth effects of any type of EIA are larger for goods with lower initial sales. Second, we show that the partial effects of EIAs on trade flows are considerably larger for developing countries' exporters across quantiles.

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  • Journal IconReview of International Economics
  • Publication Date IconJun 9, 2025
  • Author Icon Jeffrey H Bergstrand + 1
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The impact for UK real sector policy of imposing curvature restrictions on a normalized quadratic specification

ABSTRACT We estimate elasticities over time from UK services, non-durables, semi-durables and durables data that satisfy revealed preference conditions for consistency with a well-behaved utility function. When estimating a normalized quadratic reciprocal indirect utility specification, there were violations of curvature, so we also estimated a locally curvature restricted specification. Imposing curvature restrictions reduces but does not eliminate curvature violations. Both specifications produce negative own-price elasticities consistent with the theory of demand. Estimates find services and non-durables were inelastic while semi-durables and durables elastic in demand over the sample. There is relatively little substitution involving services and non-durables but typically elastic substitution between semi-durables and durables. Estimated expenditure elasticities from both specifications find services and non-durables inelastic necessities but elastic demands for semi-durables and durables. The estimates suggest fiscal policy will have a larger impact on expenditure elastic semi-durables and durables compared to inelastic services and nondurables. Monetary policy will have a bigger impact on interest-sensitive semi-durables and durable goods. The major difference is that the curvature restricted model typically significantly reduces variation in elasticity estimates over time. Our data included the Brexit and COVID-19 shocks and the imposition of curvature restrictions appear to smooth away important information from those shocks.

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  • Journal IconApplied Economics
  • Publication Date IconJun 4, 2025
  • Author Icon Adrian R Fleissig + 1
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Direct and cross cost elasticity estimations for freight transport in Europe using constructed dependent variables

Direct and cross cost elasticity estimations for freight transport in Europe using constructed dependent variables

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  • Journal IconResearch in Transportation Economics
  • Publication Date IconJun 1, 2025
  • Author Icon Bart Jourquin
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Estimating the Price Elasticity of Cannabis Use Among U.S. Adults: Evidence from States with Recreational Cannabis Commercialization.

Introduction: Following the spread of recreational cannabis legalization and commercialization, cannabis has become increasingly available at lower prices. As policies regulating prices are common tools to control the demand for commercialized drugs, it is crucial to understand how cannabis use responds to price changes. In this study, we assessed the association between wholesale prices for legal cannabis flower and adults' self-reported current cannabis use in ten states with recreational cannabis commercialization in the U.S. Materials and Methods: We conducted a secondary data analysis using individual-level data on cannabis use from the longitudinal Population Assessment of Tobacco and Health Study, during 2015 and 2021. Our analysis included 19,812 U.S. adults from ten states that legalized recreational cannabis sales during the study period. We first conducted logistic regressions to estimate the association between state-level cannabis prices and individual current cannabis use. To address potential endogeneity of cannabis prices, we then employed generalized method of moment (GMM) estimator, using cannabis taxes as an instrumental variable (IV). Results: IV-based GMM regressions suggested that cannabis taxes were a significant predictor of cannabis prices. However, the association between legal cannabis flower prices and adults' current cannabis use was negative but statistically insignificant (coefficient = -0.18, p = 0.086). Price elasticity estimates for current cannabis use ranged from -0.66 to -0.59 across different model specifications. Conclusion: In the initial years of recreational cannabis commercialization in the U.S., the price elasticity of cannabis use among adults was negative but statistically insignificant. Given the rapid progression of commercialization, further research utilizing longer-term data is needed.

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  • Journal IconCannabis and cannabinoid research
  • Publication Date IconJun 1, 2025
  • Author Icon Bing Han + 4
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Unlocking New Methods to Estimate Country‐Specific Effects and Trade Elasticities With the Structural Gravity Model

ABSTRACTWe propose new methods to identify the impact of country‐specific characteristics, policies, and trade costs on bilateral trade flows within the structural gravity framework. We complement theory with a simple two‐stage estimating procedure and offer proof of concept by quantifying the impact of country‐specific research and development (R&D) expenditure on trade. Our results suggest a positive relationship overall but a larger impact of R&D on international (versus domestic) trade. Importantly, our methods deliver trade elasticity estimates without the need for price or tariff data, and we highlight this feature by obtaining aggregate and sectoral trade elasticity estimates, including for services.

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  • Journal IconJournal of Applied Econometrics
  • Publication Date IconMay 20, 2025
  • Author Icon Rebecca Freeman + 3
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Mechanical Properties of Medical Microbubbles and Echogenic Liposomes-A Review.

Lipid-shelled microbubbles (MBs) and echogenic liposomes (ELIPs) have been proposed as acoustofluidic theranostic agents after having been proven to be efficient in diagnostics as ultrasonic contrast agents. Their mechanical properties-such as shell stiffness, friction, and resonance frequency-are critical to their performance, stability, oscillatory dynamics, and response to sonication. A precise characterization of these properties is essential for optimizing their biomedical applications, however the current methods vary significantly in their sensitivity and accuracy. This review examines the experimental and theoretical methodologies used to quantify the mechanical properties of MBs and ELIPs, discusses how each approach estimates shell stiffness and friction, and outlines the strengths and limitations inherent to each technique. Additionally, the effects of parameters such as temperature and lipid composition on MB and ELIP mechanical behavior are examined. Four characterization methods are analyzed, including frequency-dependent attenuation, optical observation, atomic force microscopy (AFM), and laser scattering, their advantages and limitations are critically assessed. Additionally, the factors that influence the mechanical properties of the MBs and ELIPs, such as temperature and lipid composition, are examined. Frequency-dependent attenuation was shown to provide reliable shell elasticity estimates but is influenced by nonlinear oscillations, AFM confirms that microbubble stiffness is size-dependent with smaller bubbles exhibiting higher shell stiffness, and theoretical models such as modified Rayleigh-Plesset equations increasingly incorporate viscoelastic shell properties to improve prediction accuracy. However, many of these models still assume radial symmetry and neglect inter-bubble interactions, which can lead to inaccurate elasticity values when applied to dense suspensions. In such cases, using modified frameworks like the Sarkar model, which incorporates damping and surface tension explicitly, may provide more reliable estimates under nonlinear conditions. Additionally, lipid composition and temperature significantly affect shell mechanics, with higher temperatures generally reducing stiffness. On the other hand, inconsistencies in experimental protocols hinder direct comparison across studies, highlighting the need for standardized characterization methods and improved computational modeling.

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  • Journal IconMicromachines
  • Publication Date IconMay 17, 2025
  • Author Icon Hussain Alsadiq + 1
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Estimation of Household's Meat Consumption Elasticities in Khyber Pakhtunkhwa, Pakistan

The study investigated meat consumption elasticities in Peshawar district of Khyber Pakhtunkhwa. Data was collected from 120 households from Hayatabad and City in Peshawar District, randomly selected through a well-structured interview schedule. Working-Lesser model was employed for estimation of own-price, cross-price and expenditure elasticities. The average price of beef, mutton, poultry and fish was 1150, 1950, 869 and 860, respectively. The Working-Lesser model empirical findings for beef, poultry, and fish show that budget shares are inversely related with total meat expenditure, whereas mutton expenditure share is directly related with total meat expenditure. Mutton is income elastic while beef, poultry and fish are income inelastic. All meat types have elastic own prices, and cross prices reveals that majority of items are substitutes for one another while fish is complement for poultry. Poultry consumption is directly affected by the household size. Consequently, while formulating national policies, these findings need to be considered.

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  • Journal IconIndus Journal of Social Sciences
  • Publication Date IconMay 9, 2025
  • Author Icon Muhammad Jibran + 4
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Exploring heterogeneity in studies of income elasticity of renewable energy deployment: a meta-analysis

Abstract The relationship between national income and renewable energy deployment has gained significant attention in recent years, as understanding this linkage is crucial for shaping future energy policy. However, existing empirical studies report widely varying estimates of income elasticity of renewable energy deployment, creating ambiguity around the consistency of this relationship. To address this, we conduct a meta-analysis using 785 elasticity estimates from 68 studies. We apply a meta-regression technique to explore the sources of heterogeneity across these studies. The results of our analysis show an average income elasticity of 0.413, meaning that a 1% increase in national income is associated with 0.413% increase in renewable energy deployment. Our findings show that the heterogeneity in these estimates is explained by various factors including a country’s stage of development, the number of renewable energy sources included in the analysis, and the type of econometric method used. We further find the presence of publication bias which causes overestimation of the magnitude of the income elasticity of renewable energy deployment in published sources. Our findings have implications for renewable energy policy development including the need for caution when using published elasticity estimates for policy formation. We also highlight methodological and contextual issues with a view to future research.

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  • Journal IconEnvironment, Development and Sustainability
  • Publication Date IconMay 9, 2025
  • Author Icon Champa Bati Dutta + 2
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Weather Effects in Energy Seasonal Adjustment: An Application to France Energy Consumption

This paper addresses the challenge of adjusting energy consumption data for weather variations by introducing a novel General Weather Indicator (GWI). The GWI combines multiple weather variables, including temperature, wind, sunlight, rain, and cloudiness, using a novel econometric approach that applies K-means for threshold identification and LASSO for variable selection. Through an empirical analysis of sectoral electricity and natural gas consumption in France, we demonstrate that the GWI outperforms the standard HDD approach by addressing three main concerns: the lack of statistical criteria for defining the base temperature, the reliance solely on temperature as the weather variable, and the assumption of a constant base temperature over time and space. Based on these results, we propose an analysis of the sectoral functional form and an estimation of weather elasticities for energy demand in France at both the monthly and daily levels. JEL Classification: C32, E61, P28, Q47

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  • Journal IconThe Energy Journal
  • Publication Date IconMay 6, 2025
  • Author Icon Marie Bruguet + 2
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An Analysis of Preferences and Demand for Fruits in Pakistan Using Linear Approximate Almost Ideal Demand System

Introduction: Consumer preferences play a significant role in determining the choices for purchasing fresh fruits. Consumer interest in fruits is crucial in influencing agricultural production and food policies. Factors like average income per person and the price of fruit have a notable impact on what consumers prefer and, as a result, on the demand for fruit. Objectives: The aim of this study is to examine the patterns of fruit consumption and preferences across the four provinces of Pakistan. Materials & Methods: Data from Household Integrated Economic Survey (HIES) 2018-19 is used for the selected fruits i.e. banana, malta, apple, grapes, watermelon alou bhukhara and dry fruits. The Linear Approximate Almost Ideal Demand System (LA/AIDS) model is used to estimate Marshallian, Hecksian and Expenditure elasticities of demand. Results: The result shows that the expenditure elasticities of all fruits for all provinces is positive and less than unity suggesting they are necessities except for dry fruits (1.2969) in Khyber Pakhtunkhwa, whose expenditure elasticity is greater than unity and considered as luxury in Khyber Pakhtunkhwa. There is no significant difference found by comparing Marshallian own price elasticities for all fruits across provinces of Pakistan. The estimated Marshallian own price elasticities for all fruits are inelastic in all provinces, while in Baluchistan banana (-0.9444) is close to unit elastic and it is inelastic in other three provinces i.e. Punjab, Sindh and Khyber Pakhtunkhwa, which means banana consumption is less in Baluchistan than other three provinces. Conclusion: According to estimates of Marshallian cross price elasticities 21 fruits were found to be complements, only alou bhukhara and dry fruits found to be substitute in Khyber Pakhtunkhwa, while other three provinces all fruits are complements. As most of the own price elasticities of fruits are inelastic for all provinces, any change in own price would result in a massive increase in expenditure on these fruits.

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  • Journal IconThe Critical Review of Social Sciences Studies
  • Publication Date IconMay 4, 2025
  • Author Icon Syed Shahab Uz Zaman + 3
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On the importance of horizontal components in source-encoded elastic full-waveform inversion: Multicomponent ocean-bottom-node data

Elastic full-waveform inversion (EFWI) is a state-of-the-art seismic tomographic method. Recent advances in technology and instrumentation, combining crosstalk-free source-encoded FWI (SE-FWI) with multicomponent marine data acquisition using ocean-bottom nodes (OBNs), enable full-physics wave propagation and parameter inversion without the computational burden of traditional FWI. With OBN acquisition, P waves, S waves, and P-to-S conversions are recorded. It is not well understood to what extent adding horizontal components to SE-FWI improves the resolution of subsurface modeling. We assess their potential for the reconstruction of shear and compressional wave speeds (VP and VS) by using a synthetic data set modeled after a recently acquired OBN survey in the North Sea. We perform synthetic inversion tests to design suitable strategies that leverage the information recorded in the horizontal components of the data to improve the reconstructed model resolution laterally and in depth. We advocate for a hierarchical inversion approach to recover the elastic parameters. We exploit the P and P-to-S converted waves recorded on the horizontal components to robustly reconstruct both VP and VS. Adding horizontal components to the SE-FWI modeling workflow results in improved spatial resolution, enhanced depth coverage, and more accurate elastic wave speed estimates.

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  • Journal IconThe Leading Edge
  • Publication Date IconMay 1, 2025
  • Author Icon Armando Espindola-Carmona + 3
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Quantra analyzer with the QStat® Cartridge compared with conventional laboratory tests during postpartum hemorrhage: a retrospective cohort study (2021-2023).

Point-of-care viscoelastic testing devices are of interest for rapid detection of obstetric coagulopathy in postpartum hemorrhage (PPH). However, there is a lack of data on the assessment of coagulation during PPH with the new Quantra device based on sonic estimation of elasticity via resonance. We conducted a retrospective observational cohort study of 130 obstetric patients with PPH with Quantra QStat assessment. Quantra QStat measurements of clotting time (CT), fibrinogen contribution to clot stiffness (FCS) and platelet contribution to clot stiffness (PCS) were compared with the following paired laboratory tests: aPTT, Clauss fibrinogen (CF), and platelet count. The primary aim was to assess correlations between Quantra-QStat measurements and standard laboratory test during PPH. Secondary aims were to investigate the ability of Quantra QStat to diagnose hypofibrinogenemia, thrombocytopenia or coagulation factor deficiencies. We analyzed 160 paired Quantra QStat and standard laboratory tests. Quantra-QStat tests correlated with laboratory tests as follows: CT with aPTT ratio (rs=0.61; P<0.001), PCS with platelet count (rs=0.75; P<0.001), and FCS with CF (rs=0.84; P<0.001). FCS predicted a CF≤2 g/L with an AUC of 0.96 (P<0.0001). The optimal cut-off value was 2hPa. PCS predicted a platelet count<80,000/μL with an AUC of 0.94 (P<0.0001). The optimal cut-off value was 11.5hPa, with a sensitivity of 0.89 and a specificity of 0.88. CT predicted an aPTT ratio>1.2 or>1.5 with an AUC of 0.94 (P<0.001) and 0.92 (P<0.0001). The optimal cut-off values were 127 and 133seconds. Quantra parameters during PPH provide rapid and reliable detection of blood clotting disorders.

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  • Journal IconInternational journal of obstetric anesthesia
  • Publication Date IconMay 1, 2025
  • Author Icon O Belin + 5
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Dynamic modeling and forecasting of price elasticity based on time series analysis and machine learning

To create pricing policies, maximize resource allocation, and compete in a worldwide market, companies must have accurate estimates of price elasticity. Market supply and demand, seasonal fluctuations, economic cycles, policy control all challenge price elasticity models. Conventional statistical methods are unable to adequately represent dynamics in time series. In order to address the shortcomings of past approaches, this work presents the STL-GBM model, a dynamic price elasticity modeling and forecasting technique grounded on time series analysis and machine learning (ML). The model inputs trend and Seasonal and Trend decomposition using Loess (STL) decomposition into Gradient Boosting Machine (GBM) to anticipate price elasticity. High price elasticity prediction ability of STL-GBM is demonstrated by experimental validation on two real datasets, therefore highlighting the basic factors influencing price elasticity and providing companies with more informed decisions and market insight.

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  • Journal IconJournal of Computational Methods in Sciences and Engineering
  • Publication Date IconApr 24, 2025
  • Author Icon Wenjie Zhang + 1
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Cashing in on export education: evaluating the implications of taxing international students

ABSTRACT We examine the economic impact and tax efficiency of an international student levy (ISL) in Australia, addressing the limited empirical evidence on the demand elasticity of international education. To benchmark our analysis, we estimate the demand elasticity for export education and test the robustness of our findings under alternative elasticity assumptions. Our results indicate that an ISL contracts the tertiary education sector, with greater reductions in output as demand becomes more elastic. Under our central elasticity estimate of −3.5, an ISL weakens the labour market and reduces GDP. However, when demand is sufficiently inelastic, an ISL improves the terms of trade and enhances real consumption. From a tax efficiency perspective, an ISL performs well relative to other taxes, though its efficiency advantage primarily arises from the sector’s tax-exempt status rather than inherent sector-specific attributes.

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  • Journal IconApplied Economics
  • Publication Date IconApr 5, 2025
  • Author Icon Xianglong Locky Liu + 2
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Precise estimation of elastic modulus of radial artery using blood pressure and vessel wall strain measured by ultrasound and photoplethysmography

Abstract In an earlier study, we investigated methods for estimating the elastic modulus of blood vessel walls for early diagnosis of atherosclerosis. Because the pulse pressure varies from beat to beat, in the present study, we proposed a method for estimating the elastic modulus of the vessel walls that simultaneously measures the pulse pressure and vessel wall strain due to the pulse pressure; this method estimates the systolic and diastolic blood pressures from the vessel diameter and pulse wave velocity. Consequently, changes in vessel wall strain in response to beat-by-beat pulse pressure variation were measured. In the elastic modulus estimation, the maximum deviation among consecutive beats was reduced, and the reproducibility of elastic modulus estimation was improved. Hence, we conclude that simultaneous measurement of vessel wall strain and pulse pressure is effective in improving the reliability of elastic modulus estimation.

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  • Journal IconJapanese Journal of Applied Physics
  • Publication Date IconApr 1, 2025
  • Author Icon Ryo Ishikawa + 3
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Patient-specific prediction of arterial wall elasticity using medical image-informed in-silico simulations.

Patient-specific prediction of arterial wall elasticity using medical image-informed in-silico simulations.

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  • Journal IconComputers in biology and medicine
  • Publication Date IconApr 1, 2025
  • Author Icon Manideep Roy + 7
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Estimation of shear viscoelasticity via time-domain elastic full waveform inversion in ultrasound shear wave elastography.

The elastography inversion process typically assumes local homogeneity or ignores viscosity, which can lead to inaccuracies. This study presents a methodology for estimating viscous and elastic properties of a heterogenous media based on time-domain elastic full waveform inversion using the limited data available in conventional ultrasound shear wave elastography (SWE). The proposed method is based on the elastodynamic equation and minimizes a squared residual misfit function. To improve the optimization process, a total viscoelastic search space is considered and a quasi-Newton optimization is employed, where gradients are approximated using the adjoint state method. Additionally, Tikhonov regularization is incorporated to handle noisy and sparse displacement data. The proposed method was evaluated across various scenarios simulating real-world experimental conditions, accounting for noise levels and temporal sampling sparsity of displacement field. Using noisy displacement data from a single slice of three-dimensional volume, imitating the ultrasound SWE, resulted in 2.91% error for elasticity estimation and 23.97% error for viscosity estimation across the field of view. This framework enables the estimation of viscous and elastic properties of heterogeneous media and has shown promising results. Additionally, the optimization was improved, and noisy and sparse displacement data were effectively addressed.

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  • Journal IconThe Journal of the Acoustical Society of America
  • Publication Date IconApr 1, 2025
  • Author Icon Mohammad Mohammadi + 2
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The Impact of the Inflation Reduction Act on Investment in Innovative Medicines: A Project-Level Analysis.

The impact of Medicare's price negotiation on long-term pharmaceutical innovation and patient welfare remains one of the most widely debated topics across stakeholder groups. Existing policy simulations have tried to assess the policy impacts on innovation based on either empirical estimates of elasticity of innovation from the literature or structural models estimating the joint distribution of expected revenue and expected costs at key stages of pharmaceutical development. Since investors exert significant influence on investment programs that companies advance in the real world, a program-level analysis of how investors make their investment decisions can inform the key assumptions for policy simulations and generate more realistic insights. Using an illustrative case example, we constructed a net present value (NPV) model to examine how Medicare price negotiation will impact discounted value and investment decisions at six key timepoints of new drug development, highlighting key factors in investor decision-making not explicitly considered in existing empirical literature or policy simulations. Our analyses showed that IRA would lead to a 40% reduction in the NPV at the time of launch. The reduction was greater in earlier stages of development due to expected dilution and discounting, resulting in discontinuing this project at earlier decision points. The case study demonstrated that the negative impacts of price negotiation at nine years were more pronounced for small-molecule assets in the earlier stages of development (e.g., preclinical or Phase 1) than those in the later stages, implying a possibly much larger impact on innovation than suggested by existing empirical literature and observed in the short term.

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  • Journal IconTherapeutic innovation & regulatory science
  • Publication Date IconMar 27, 2025
  • Author Icon Richard Z Xie + 2
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Plant‐Based versus Conventional Meat in Food Away From Home Settings: Substitution, Complementarity, and Market Impacts

ABSTRACTEvidence regarding whether consumers view plant‐based meat alternatives (PBMAs) as substitutes for or complements to meat is mixed; however, the ultimate effect of increased demand for PBMAs on poultry and livestock production depends on this relationship. Existing elasticity estimates primarily come from stated‐preference discrete‐choice models, which assume all options are substitutes. This study employs a basket‐based choice experiment (BBCE) to estimate own‐ and cross‐price elasticities in food‐away‐from‐home consumption settings. The elasticity estimates from the BBCE are then used to calibrate an equilibrium displacement model, which links shifts in demand for PBMAs to livestock and poultry supplies. Our findings indicate (1) there is a mix of complementarity and substitution between conventional meat and PBMAs, (2) the own‐price elasticity of PBMAs lies between those of premium meat options (salmon and ribeye steak) and more affordable choices (burgers and chicken breast), and (3) lowering prices of PBMAs (or increasing consumers’ willingness‐to‐pay for PBMAs) is unlikely to significantly impact conventional poultry and livestock production.

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  • Journal IconAgricultural Economics
  • Publication Date IconMar 23, 2025
  • Author Icon Vincenzina Caputo + 2
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Estimating the demand for imported green coffee in Saudi Arabia using the Almost Ideal Demand System

IntroductionUnderstanding the demand for imported green coffee in Saudi Arabia is crucial for stakeholders in the coffee trade. This study examines how demand varies by country of origin, focusing on Ethiopia, Brazil, India, and other exporting nations such as Colombia, Vietnam, and Kenya. Given the growing coffee consumption in Saudi Arabia, analyzing consumer preferences and market dynamics can provide insights for importers, exporters, and policymakers.MethodsThis study employs the Almost Ideal Demand System (AIDS) model to estimate demand elasticities for green coffee imports. The analysis considers income and price elasticities to determine the classification of coffee imports as necessities or luxury goods, as well as cross-price elasticities to assess substitution and complementarity relationships between different origins.ResultsFindings indicate that Ethiopian coffee dominates the Saudi market and is considered a luxury good with high income elasticity. In contrast, Brazilian and other coffees exhibit characteristics of necessities, with relatively stable demand. Indian coffee is highly price-elastic but maintains a smaller market share. Cross-price elasticity estimates reveal that Ethiopian and Indian coffees act as substitutes, whereas Ethiopian coffee complements imports from other sources.Discussion and conclusionProjected trends suggest continued growth in Ethiopian, Brazilian, and Indian coffee imports, while imports from other origins may decline. These findings have practical implications for importers and marketers, who can refine sourcing and promotion strategies, and for exporters, particularly from Ethiopia and Brazil, who can strengthen their market positioning. Policymakers may leverage these insights to ensure stable coffee import flows through targeted trade policies. This study contributes to the coffee demand literature by emphasizing the role of origin differentiation in shaping market dynamics in Saudi Arabia's green coffee sector.

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  • Journal IconFrontiers in Sustainable Food Systems
  • Publication Date IconMar 20, 2025
  • Author Icon Emad S Aljohani + 5
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