Digital Commons Network^™

Institutions, Innovation, And Structural Transformation: Advancing Business And Economics Research In Emerging Economies, Marites Tiongco

DLSU Business & Economics Review

No abstract provided.

Montana’S Outfitting Industry - 2024 Economic Contribution And Industry-Client Analysis, Carter Bermingham, Kara Grau, Emma Keinath-Lopez

Institute for Tourism and Recreation Research Publications

Montana's outfitting and guiding industry remains a vital economic sector driven primarily by nonresident visitors, generating an estimated $314 million in direct expenditures in 2024 and supporting more than $1.27 billion in total economic output when indirect and induced effects are included. This report, an update to ITRR's 2017 industry analysis, draws on a survey of outfitting businesses alongside ITRR's annual nonresident visitor survey to examine roughly 980,000 clients served by an estimated 1,500 outfitting and guiding entities statewide. While wildlife viewing and sightseeing attracted the largest share of clients, fishing generated the most revenue despite serving a smaller portion …

Meeting & Convention Tourism In Montana, Glenna Hartman, Elena Bigart, Melissa Weddell

Institute for Tourism and Recreation Research Publications

As meeting and convention travel continues its post-pandemic rebound, Montana still lacks a comprehensive picture of this growing sector's reach and impact. This report offers the state's first statewide analysis of meetings and conventions — examining their economic contribution to local communities, the factors that make Montana an attractive destination, the scale and geographic spread of events across the state, and how Montana compares to national industry benchmarks.

The findings paint a promising picture: 75% of meeting planners say they'd recommend Montana, and over half plan to bring events to the state in the next one to three years. Montana's …

Economic Contribution Of 2024/2025 Averaged Nonresident Travel Spending In Montana Travel Regions And Counties, Kara Grau

Institute for Tourism and Recreation Research Publications

Money spent by travelers in Montana has a direct effect on businesses where it is spent, and it ripples throughout the state’s economy from there. Statewide, spending by nonresident visitors (averaged over two years - 2024 and 2025) totaled $5.36 billion. This report details the methods and results of the economic impact analyses for each of Montana’s six travel regions, as well as analyses for counties in which nonresident travelers spent approximately $50 million or more.

Pengaruh Penggunaan Internet Terhadap Pendapatan Wirausaha Pemuda Di Indonesia, Nabella Primasetya, Putu Geniki Lavinia Natih

Jurnal Ekonomi dan Pembangunan Indonesia

An important element in entrepreneurship is being alert to unexploited opportunities. In the context of entrepreneurial development, internet users in Indonesia continue to increase but the percentage of young people using the internet for business remains low. This study analyzes the effect of internet usage on the income of young entrepreneurs in Indonesia using the Ordinary Least Square (OLS) method and Propensity Score Matching (PSM). The results show that internet usage significantly increases the income of youth entrepreneurs. Internet usage for communication contributes positively to their income but usage for promotion, social media and marketplaces does not affect their income.

Conflict-Mediated Group Size Regulation: A Theory Of Supraoptimal And Suboptimal Group Size, Eric Schniter

ESI Working Papers

Observed group sizes rarely match the size that would maximize what each member gets from belonging. We propose a two-part theory in which group size is regulated by two related conflicts: insider-outsider conflict over admission, and within-group conflict as crowding, competition, and social tensions intensify with size. Three strategies are available: admission, exclusion, and fission. The first part shows that even when exclusion is unavailable, fission dynamics alone drive group size away from the optimum in both directions, with the pattern set by how prospective joiners encounter groups and by the geometry of fission. When joiners compare groups across a …

Modeling And Forecasting Intraday Spot Volatility, Adam Clements, Daniel P. A. Preve

Research Collection School Of Economics

We propose a multiple-equation regression-based method for modeling and forecasting intraday spot volatility. In this approach, intraday intervals are treated as individual time series, deviating from the common practice of treating the data as one continuous sample. Our empirical study, which spans more than two decades and encompasses six US blue-chip stocks, employs the recent OK volatility estimator developed by Li, Wang, and Zhang (2024) to expose the dynamics of latent intraday spot volatility over time. We demonstrate that the proposed method effectively captures the intricate dynamics of intraday spot volatility and find strong evidence that it outperforms a competing …

Occupation Ladders Over The Business Cycle, Ismail Baydur, Toshihiko Mukoyama

Research Collection School Of Economics

This paper studies occupational mobility over the business cycle. We divide occupations into two broad groups, “attractive” and “nonattractive”, where we label an occupation attractive if the total net inflow into this occupation through job-to-job transition is positive. We measure total net inflows into both occupation groups. We measure these inflows separately for job-to-job transitions and transitions from unemployment to employment. We find that the net inflow from nonattractive to attractive occupations through job-to-job transitions slows during recessions. The net inflow through transitions from unemployment has a similar cyclicality. This finding suggests a novel cost of recession: during recessions, workers …

How Do Sectoral Shocks Shape Future Gdp?, Paul Ho, Danial Lashkari, Pierre-Daniel Sarte

Research Collection School Of Economics

A production sector’s size, as measured by its Domar weight, captures the contemporaneous aggregate effect of its productivity shocks. Any future aggregate effects, however, depend on that sector’s participation in the investment network. We derive a dynamic generalization of Hulten’s theorem in an environment with intermediate-input and investment networks. This generalization, implied by production efficiency alone, decomposes each sector’s Domar weight into an impact and a propagation component. The relative size of these components then determines how persistent the aggregate effects of sectoral shocks are, but cannot be known absent information on the economy’s production structure. We show in a …

Multidimensional Screening For Quality With An Application To Health Insurance, Hector Chade, Victoria Marone, Amanda Starc, Jeroen Swinkels

Cowles Foundation Discussion Papers

We analyze a multidimensional screening model in which a principal offers a menu of quality-price pairs to a consumer with multiple dimensions of private information and a quasilinear utility function. We derive necessary conditions for optimality, and use them to provide insight into optimal exclusion, positive trade, and screening. We then recast the problem in terms of incremental quality levels and prices, the so-called demand-profile approach (DPA). Under DPA, the problem decouples across increments and can be solved one at a time. We provide novel conditions under which DPA recovers the solution to the full problem exactly or approximately, and …

Hkc05 - Household Portfolios, Corporate Leverage, And The Supply Side Of Monetary Policy, Charles A.E. Goodhart, M. Udara Peiris, Dimitrios P. Tsomocos, Xuan Wang

Oberlin College Kasper Economics and Business Working Paper Series

Corporate borrowing creates safe claims for some households and concentrates residual risk in equity for others. This portfolio heterogeneity drives a supply-side channel through which corporate leverage conditions monetary transmission. Tightening erodes equity holders’ wealth while safe-asset holders are cushioned; the resulting income effect makes aggregate labor fall more at high leverage, raising the sacrifice ratio. A static model yields a closed-form hump in leverage, with the US range on the rising side, disciplined by Survey of Consumer Finances portfolio shares. A calibrated dynamic model roughly doubles the sacrifice ratio, and US local projections agree in sign, shape, and timing.

Close To Home? Five Key Facts About Child Care Customer And Worker Commutes, Gabrielle Pepin, Jonathan Borowsky, Elizabeth E. Davis, Aaron Sojourner

Upjohn Institute Working Papers

Parents often cite location and convenience as important factors in choosing a child care provider. We use data on individual mobility from GPS in cell phones to study commutes to each licensed early childhood care and education (ECE) provider in 14 states separately for center customers, center workers, and customers of home-based child care providers. We document five key facts about ECE customer and worker commutes. One, center customers and workers commute farther than home-based customers to ECE providers. Two, substantial shares of customers and workers commute 10+ miles to their ECE provider. Three, commute distances to ECE providers vary …

Bearcat Advantage: Year Two Evaluation Report, Michelle Miller-Adams, Kyle Huisman, Bridget Timmeney, Kevin Hollenbeck

Reports

No abstract provided.

Expanding The Cognitive Attentional Standards Platform Through Artificial Influence Assessment (Aia): Rationale, Development, And Measurement Design, Delante Clark

Graduate Scholarship and Creative Works

Artificial intelligence is increasingly shaping how individuals access information, make decisions, and interact with digital environments. The Cognitive Attentional Standards Platform (C.A.S.) was developed to assess attention related harms, cognitive safety, digital autonomy, and platform influence across digital systems (Clark, 2026). However, the growth of generative AI, conversational agents, and algorithmic decision support technologies has introduced new forms of influence that may not be fully captured by existing assessment domains. This paper proposes the Artificial Influence Assessment (AIA) as an expansion of the C.A.S. framework designed to measure AI mediated influence on cognition, behavior, autonomy, and information processing. Drawing on …

Governing Algorithmic Attention: Attention Safeguard Models And The Cognitive Attentional Standard As System Level Interventions In Human Computer Interaction, Behavioral Economics, And Artificial Intelligence, Delante Clark

Graduate Scholarship and Creative Works

Algorithmic recommendation systems and interface designs shape attention by combining visually salient cues with uncertain reward timing and low friction interaction. These conditions can sustain anticipatory checking, extend time on task, and reduce natural disengagement points through patterns such as infinite scrolling and autoplay. This paper synthesizes research across neuroscience, human computer interaction, behavioral economics, and artificial intelligence to argue that attention capture is a predictable outcome of incentive driven design rather than an individual failure of self regulation. It advances the Attention Safeguard Models and the Cognitive Attentional Standard as system level interventions that regulate exposure conditions, pacing, and …

Neural Networks In Economics: A Selective Review, Xiaohong Chen, Luis Hoderlein, Jonas Lieber

Cowles Foundation Discussion Papers

The "deep learning revolution" has led to remarkable success of neural networks in applications across a wide range of fields, such as computer vision, speech recognition, natural language processing, code generation, protein structure prediction, image and video generation, and dynamic control. This review introduces neural networks to economists. Recent advances and challenges in approximation theory, neural network architecture, computation, econometric theory and practice are presented. Finally, we survey the rapidly evolving applications of modern neural networks and Large Language Models in economic research.

Value-Chain Factors Influencing Production Volume And Gross Margin: Evidence From A Thai Dairy Processing Firm, Jiranij Jareonsawat, Aqeel Raza, Kittisak Ajariyakhajorn, Davids Makararpong, Henk Hogeveen, Chainarong Paoin, Nampueng Mesprasat, Chaidate Inchaisri

The Thai Journal of Veterinary Medicine

The dairy industry is vital for food security and economic stability, particularly in developing markets such as Thailand. Understanding factors related to production volume and gross margin in dairy processing firms can help inform performance and profitability considerations. Based on Porter’s value chain framework and a perception-based survey approach, this study used document reviews, in-depth interviews with 14 key informants, and an employee perception survey (n = 21) covering 74 relevant factors. Results indicated significant differences across ten activity categories for both production volume (Χ2 = 53.59, df = 9, P < 0.001) and gross margin (Χ2 = 26.89, df = 9, P < 0.001). For production volume, research and development (3.96 ± 0.66), human resources management (3.93 ± 0.63), and external factors (3.82 ± 0.82) had the highest mean perceived importance scores. For gross margin, external factors recorded the highest mean score (3.96 ± 0.81). At the factor level, the Thai government-regulated raw milk price was classified as the most important factor associated with production volume, while fuel prices were the most important factor related to gross margin. Both factors had the highest proportion of “High” and “Very High” responses (90.5%). These findings highlight the importance of aligning internal activities with external conditions within an institutional and policy context. This study provides insights into how institutional and policy constraints shape the way firm-level activities and external conditions are perceived and prioritized, and how these perceptions relate to performance in dairy processing firms in Thailand.

Accounting And Economic System Classification: An Adverse Effect Of The Misconceptualization Of Capital, Henry Zeno Chalu

Business Management Review

This paper discusses the influence of accounting on economic system classification. Particularly, it traces how a misconception of the accounting term ‘capital’ led to a misleading characterization of capitalism and socialism as inherently oppositional economic systems. This misunderstanding stems from neglect of the two complementary modes of thought on which accounting as a science rests: reasoning, which is the conceptual, idealistic dimension, and proving, which is the technical, physicalist dimension. Both modes are integral to the construction of most of the accounting terms used in economics. If an accounting conceptualization had been followed, capitalism and socialism would not …

Three Essays On Political Economy And International Trade, Shuo Zhang

Dissertations - ALL

This dissertation is composed of three papers that explore how institutions, globalization, and trade shocks affect individuals' political preferences and firms' behavior. The first paper studies how mass protest events drive political change among citizens. I exploit the 2019 Anti-Extradition Law Amendment Bill Movement (ANTI-ELAB protest) in Hong Kong and its impact on the subsequent 2019 Hong Kong District Council Election. Taking advantage of a granular dataset of organized events during the protest, I exploit spatial variation in protest intensity, as measured by the number of events, across Constituency Areas. Empirical results show that in Constituency Areas with higher protest …

Essays On Urban Economic Geography In Developing Countries, Taylor Lathrop

Dissertations - ALL

This dissertation contains two papers on urban economic geography in a developing country context. In the first, I identify and quantify local spillovers between firms of heterogeneous ownership type using a rich dataset of Indonesian manufacturing firms with granular location information. Within local clusters of manufacturing employment, I find an elasticity of domestic firm productivity with respect to the average quality of domestic neighbors of 0.025, and an elasticity of domestic firm productivity with respect to the average quality of foreign neighbors of 0.002. For foreign-owned firms, I find little evidence of productivity spillovers from neighbors of either ownership type. …

Predicting Thoroughbred Yearling Auction Prices With Machine Learning: Evidence From The Keeneland September Sale, Yanchao Yang, John Clarke, Tapaan Madal '26, Thinh Nguyen '26, Trung Pham '25

Business Analytics Faculty Publications

We apply machine learning methods to predict Thoroughbred yearling auction prices at the Keeneland September Sale (2020–2024). Our sample includes 5,788 yearling prices with pedigree data. We use both linear and tree-based models to predict log prices. We use cross-validation to tune model hyperparameters and select Ridge regression (α = 1.451) as the primary model for interpretation given its stability and interpretability. The Ridge regression explains approximately 54% of out-of-sample variation (R2≈ 0.5403). Sire and Dam Reputation emerge as the dominant predictors. Results provide pricing benchmarks and show how reputation and session structure shape Thoroughbred yearling auction prices.

Immigration, Innovation, And The Geography Of Growth, Costas Arkolakis, Sun Kyoung Lee, Michael Peters

Cowles Foundation Discussion Papers

Between 1880 and 1920, more than 20 million immigrants settled in the United States. We study how this migration wave affected innovation and growth. Using a newly constructed dataset linking individual census records to historical immigration records and the universe of US patents, we highlight a new channel through which immigrants contributed to growth: they disproportionately settled in urban innovation hubs. To quantify the aggregate and regional effects of this mass migration episode, we develop a new spatial growth model in which skilled workers have a comparative advantage in innovation and sort endogenously across space. We find that international arrivals …

Passed Through Or Pushed Back? Exchange Rate Effects On Manufacturing Trade Prices In Indonesia And The Asean Plus Three, Fatikha Rizky Kurnia, Miguel Angel Esquivias, Wee-Yeap Lau, Unggul Heriqbaldi

Bulletin of Monetary Economics and Banking

This study analyzes the Exchange Rate Pass-Through (ERPT) on export and import prices in Indonesia’s manufacturing trade with ASEAN Plus-three countries (China, Japan, and South Korea) using monthly data from 2016 to 2022. Employing the Nonlinear (NARDL) models, we examine the degree and asymmetry of ERPT across five key manufacturing sectors for each partner. The NARDL model confirms asymmetric price responses to currency appreciation and depreciation in several sectors. The findings reveal significant sectoral and country-specific variations. Some export sectors experience complete pass-through in the short term but shift to negative complete passthrough in the long run. Meanwhile, imports from …

Does Green Electricity Mitigate Carbon Emission Externalities? Industry-Specific Effects On Firm Profitability, Operational Efficiency, Valuation, And Market Risk In Taiwan Listed Companies, Mutiara Eka Puspita, Wei Hwa Pan, Bon Long Hsia, Huynh Phu Tan

Bulletin of Monetary Economics and Banking

his study explores the relationship between carbon emissions and firm financial performance across industries and how green electricity adoption moderates this effect. Using 9,925 firm-year observations from the Taiwan Economic Journal, we estimate panel regressions and compare Fixed Effects robust and Driscoll-Kraay (1998) standard errors to ensure robustness. Two-way and three-way interaction models reveal a green electricity paradox: biotech firms benefit, while financial and high-tech sectors decline. These findings highlight the need for sector-specific ESG investment models and tailored policy support to ensure an equitable green transition. The study contributes by integrating environmental-financial dynamics with industry heterogeneity in emerging markets

Financial Stability Versus Bank Lending Channel Transmission: The Impact Of Bank Competition And Concentration In Indonesia, Alif Ihsan A Fahta, Chaikal Nuryakin

Bulletin of Monetary Economics and Banking

Using financial data from 47 publicly listed banks in Indonesia from 2013Q4 to 2023Q3, this study employs a new approach by utilizing ΔCoVaR as a proxy for financial stability to examine how changes in bank competition in bank competition and banking industry concentration affects financial stability and the effectiveness of bank lending channel transmission. We find that, on one hand, an increase in market power (decreased bank competition) and an increase in banking industry concentration reduce financial stability. On the other hand, an increase in banking industry concentration enhances the effectiveness of the bank lending channel transmission by increasing the …

Hierarchical Bayesian Evidence On Cbdc Adoption: The Case Of Indonesia’S Digital Rupiah, Akbar Syahid Rabbani, Jongsu Lee

Bulletin of Monetary Economics and Banking

This study analyzed accessibility, privacy, transferability, and interest rates related to the adoption of Digital Rupiah, Indonesia’s Central Bank Digital Currency (CBDC), among rural and urban consumers. Findings from a hierarchical Bayesian model show that mobile applications are the main acquisition channel, and enhanced transferability with bank accounts and electronic money boosts consumer utility. However, there are concerns about fully anonymous transactions, differentiated by socio-demographic profiles (age, income, education, and knowledge). Scenario analysis suggests the potential CBDC adoption rate in Indonesia could range from 38% to 55%, influenced by privacy levels and the central bank’s interest rates.

Is Fdi A Panacea? Unveiling Spillover Effects On Efficiency And Risk In Indonesian Manufacturing, Fichrie Fachrowi Adli, Dyah Wulan Sari, Dian Enggar Lintang Pertiwi, Mohammad Zeqi Yasin

Bulletin of Monetary Economics and Banking

This study builds on Javorcik (2004), who argues that countries attract Foreign Direct Investment (FDI) with the expectation that spillovers will benefit local firms. However, empirical evidence on this effect remains inconsistent. This research addresses the gap by examining the impact of horizontal spillovers not only on production efficiency but also on production risk. It also accounts for firm heterogeneity in the manufacturing sector by classifying technological intensity using unsupervised machine learning, specifically K-means clustering, into three categories based on OECD (2011): High Technology (HT), Medium Technology (MT), and Low Technology (LT). The study uses data from Statistik Industri (SI) …

Expansion, Diversification, And Delinquency In Indonesian Fintech Lending Platforms, Muhammad Miqdad Robbani, Megat Nagainaka, Mahanani Margani

Bulletin of Monetary Economics and Banking

This study examines the impact of loan expansion and diversification strategies on credit risk in Indonesia’s fintech lending sector using panel data from 102 registered platforms between 2022 and 2025. Employing fixed-effects regression models, we analyse how loan growth and diversification influence delinquent loans. The findings reveal a non-linear relationship between loan growth and delinquent loans, implying that while moderate expansion reduces risk, excessive growth is associated with increased credit defaults, and diversification is not significant. These findings emphasise the importance of prudent growth and targeted risk management to ensure the sustainability of the fintech lending ecosystem.

Millennials Will Pay The Price: Demographic Imbalance And Reform Inertia In Canada’S And Spain’S Pension Systems, Javier E. Burgos Oliva

Journal of New Finance

This paper examines how demographic imbalance and policy inertia undermine intergenerational equity in Canada’s partially funded and Spain’s pay-as-you-go pension systems. Despite structural differences, both nations transfer financial risks to Millennials and Gen Z due to aging populations, low fertility, and political resistance to reform. Using a comparative political economy framework and a stylized hyperbolic discounting model, the study shows institutional design alone cannot prevent unsustainability when incentives favor short-term gains. Policy recommendations include automatic adjustment mechanisms, independent fiscal councils, and private pension incentives.

The Other Side Of Peruvian Private Pension System, Paolo Daniel Jara

Journal of New Finance

Between 2020 and 2025, Peru's Congress authorized eight extraordinary withdrawal rounds from the Private Pension System (SPP), liquidating USD 38 billion. This paper argues that the trajectory is the empirical convergence of two analytically distinct failures. The first, from below, reflects the mismatch between the system's behavioral assumptions and a heterogeneous, predominantly informal workforce. The second, from above, reflects short-cycle electoral incentives, institutional asymmetry between Congress and the regulator, and slippery-slope dynamics. The paper proposes a reform combining free disposal of pension funds with individual fiscal responsibility, mediated by a binding waiver of the state-funded solidarity pension.