Econometrics Commons^™

Minimum Resale Price Maintenance In The Absence Of Point-Of-Sale Service, Agency Or Free-Rider Problems, Michael R. Baye, Dan Kovenock, Casper De Vries

ESI Working Papers

We show that MRPM can increase manufacturer profits and total output even in the ab- sence of traditional justifications based on point-of-sale services, retailer effort, or free-riding. The key insight is that MRPM mitigates channel conflict by altering how retailers balance extracting surplus from loyal customers and competing for price-sensitive shoppers. When a manufacturer optimally chooses a wholesale price and MRPM policy, this can intensify com- petition and create systematic distributional effects: prices fall for loyal consumers but rise for shoppers, and the profits of smaller, shopper-dependent retailers decline. We characterize the conditions under which MRPM raises output, benefits a …

Building Reputation: State-Sponsored Rebellions And Transnational Identities, Marion Mercier, Arthur Silve, Benjamin Tremblay-Auger

ESI Working Papers

States sometimes back rebellions abroad to signal resolve. We study this reputation-building logic in international relations, focusing on co-ethnic links between countries as an objective source of variation in a state’s incentives to demonstrate resolve. We formally derive two interconnected predictions from the mechanism: (a) a state is more likely to endorse the uprising of a foreign group when facing a larger audience, resulting in (b) greater political inclusion for the group. We build a comprehensive panel dataset of co-ethnic rebellion sponsorship, and find evidence consistent with both predictions.

Weak Identification Of Long Memory With Implications For Volatility Modeling;, Jia Li, Peter C. B. Phillips, Shuping Shi, Jun Yu

Research Collection School Of Economics

This paper explores implications of weak identification in common ‘long memory’ and recent ‘rough’ approaches to modeling volatility dynamics of financial assets. We unveil an asymptotic near-observational equivalence between a long memory model with weak autoregressive dynamics and a rough model with a near-unit autoregressive root. Standard methods struggle to distinguish them, and conventional asymptotics are invalid. We propose an identification-robust approach to construct confidence sets that reveal the uncertainty and aid inference. Empirical studies based on realized volatility and trading volume often fail to statistically reject either model, thereby providing evidence of their potential coexistence.

Tokenization And Interconnectedness: A Numerical Exploration, Alessandro Gioffré, Gabriele Camera

ESI Working Papers

Tokenization of assets has multiple implications for the operation of financial markets, among which are mitigating trade frictions and improving the interconnectedness of financial firms. This feature—if not properly managed—can propagate shocks more widely as compared to a traditional system. We study this double-edged aspect of tokenization using a matching model that makes explicit how firms are exposed to counterparty risk. We propose a way to manage this increased risk, through Financial Transactions Limiters, which exploit the technical advantages of tokenization in monitoring financial transactions of individual firms. We numerically analyze the possible social welfare consequences of tokenization, in …

Comparative Evaluation Of Estimation Techniques For Purchasing Power Parity In African Countries Using The Country-Product-Dummy Regression Framework, Rokibat Adeola Tijani, Taiwo Abideen Lasisi, Dahud Kehinde Shangodoyin, Olasunkanmi James Oladapo

Al-Bahir

Purchasing Power Parity (PPP) is a popular macroeconomic analysis metric used to compare economic productivity and standards of living between countries. This study examines the estimation of PPP within the International Comparison Program (ICP) at Basic Heading (BH) level stage and leverages on the data from the 2011 ICP round. Focusing on five BHs out of 12 BHs across 50 Africa countries, to empirically evaluate the validity of the classical Ordinary Least Square (OLS) assumptions in the estimation of Country Product Dummy (CPD) regressions. Given the widespread use of OLS for BH level PPP computation, a rigorous examination of these …

Multidimensional Arbitration, Cary Deck, Paul Pecorino, Brian R. Powers

ESI Working Papers

Most analyses of arbitration consider disputes over a single dimensional issue; however, in many situations more than one issue can be in dispute. In a labor context, the parties may disagree on the hourly wage, number of paid holidays, and fringe benefits as well as other conditions of employment. In addition to conventional arbitration (CA), two variants of multidimensional final-offer arbitration (FOA) are employed in practice. Under one version of FOA, the arbitrator must pick the entire package submitted by one of the disputants. Under the other version of FOA, the arbitrator can select elements from each disputant’s final offer …

Analisis Dampak Kebijakan Insentif Fiskal Terhadap Tingkat Komponen Dalam Negeri (Tkdn) Industri Manufaktur Di Indonesia, Muhammad Muhammad, Riyanto Riyanto

Jurnal Kebijakan Ekonomi

Over the last decade, the manufacturing sector's contribution to Indonesia's economy has declined. In 2010, it was 29.10% of GDP, but by 2022, it had dropped to 19.14%. Employment in the sector also fell, from 14.91% of the workforce in 2010 to 13.80% in 2022. To reverse this trend, the government introduced a policy to boost the Domestic Component Level (DCL) in manufacturing. By offering fiscal incentives to industries meeting certain DCL targets, the government aims to drive economic growth and job creation. A study using BPS data from 2008-2019 shows that this policy raised DCL by 23.5%.

The Basics Of The Mundlak And Chamberlain Projections, Badi H. Baltagi, Tom Wansbeek

Center for Policy Research

One of the best-known results in panel data econometrics, due to Mundlak (1978), is the equality of the random-effects and fixed-effects estimators when the individual effects are correlated with the means over time of the regressors. Chamberlain (1980) showed that the same result holds when the individual effects are correlated with the regressors for all moments in time separately. In this chapter, we review basic elements of the Mundlak and Chamberlain projections. We emphasize the simplicity that is often obtained when the model is transformed into the within and between-model, following Arellano (1993). Topics that we discuss include the augmented …

Estimation Of Serially Correlated Error Components Models Using Whittle’S Approximate Maximum Likelihood Method, Badi H. Baltagi, Georges Bresson, Jean-Michel Etienne

Center for Policy Research

This chapter studies the estimation of error components models with serial correlation of the 𝐴𝑅𝑀𝐴(𝑝, 𝑞) type using Whittle’s (Whittle, 1953) approximate maximum likelihood method. This is done for the one-way and two-way error components panel data model. Monte Carlo simulations are performed that investigate the small sample performance of this method.

A General Test For Functional Inequalities, Jia Li, Zhipeng Liao, Wenyu Zhou

Research Collection School Of Economics

This paper develops a nonparametric test for general functional inequalities that include conditional moment inequalities as a special case. It is shown that the test controls size uniformly over a large class of distributions for observed data, importantly allowing for general forms of time series dependence. New results on uniform growing dimensional Gaussian coupling for general mixingale processes are developed for this purpose, which readily accommodate most applications in economics and finance. The proposed method is applied in a portfolio evaluation context to test for “all-weather” portfolios with uniformly superior conditional Sharpe ratio functions.

Policy Evaluation With Nonlinear Trended Outcomes: Covid-19 Vaccination Rates In The United States, Lynn Bergeland Morgan, Peter C. B. Phillips, Donggyu Sul

Research Collection School Of Economics

This paper discusses pitfalls in two way fixed effects (TWFE) regressions when the outcome variables contain nonlinear and possibly stochastic trend components. If a policy change shifts trend paths of outcome variables, TWFE estimation can distort results and invalidate inference, especially in a context of evolving policy decisions. A robust solution is proposed by allowing for dynamic club membership empirically using a relative convergence test procedure. The determinants of respective club memberships are assessed by panel ordered logit regressions. The approach allows for policy evolution and shifts in outcomes according to a convergence cluster framework with transitions over time and …

Max-Share Misidentification, Liyu Dou, Paul Ho, Thomas Lubik

Research Collection School Of Economics

While max-share identiffcation has become increasingly popular in a wide range of applications, we show that its validity requires necessary and suffffcient conditions that are rarely satisffed in practice—the target variable’s response to the target shock must be (i) orthogonal to its responses to untargeted shocks and (ii) larger than combinations of those responses. Imposing additional restrictions on the target shock weakens but does not fully eliminate these conditions. We show that in practice, the weight max-share places on an identiffed untargeted shock can be obtained by projecting the response to that shock on the max-share response. We also theoretically …

Speculative Bubbles In The Recent Ai Boom: Nasdaq And The Magnificent Seven, Rerotlhe B. Basele, Peter C. B. Phillips, Shuping Shi

Research Collection School Of Economics

The recent artificial intelligence (AI) boom covers a period of rapid innovation and wide adoption of AI intelligence technologies across diverse industries. These developments have fueled an unprecedented frenzy in the Nasdaq, with AI-focused companies experiencing soaring stock prices that raise concerns about speculative bubbles and real-economy consequences. Against this background, this study investigates the formation of speculative bubbles in the Nasdaq stock market with a specific focus on the so-called Magnificent Seven (Mag-7) individual stocks during the AI boom, spanning the period from January 2017 to January 2025. We apply the real-time PSY bubble detection methodology of Phillips et …

Volatility Of The Usd/Chf Exchange Rate At The Beginning Of The Covid-19 Pandemic, Anna Gaweł, Janusz Kudła

Journal of Banking and Financial Economics

Purpose

We address the problem of forecasting USD/CHF volatility at the beginning of the COVID-19 crisis. We chose popular currencies (Swiss franc and American dollar) in the period 1.07.2020 to 31.12.2020.

Design/methodology/approach

We employed several volatility models, including APARCH, EGARCH, GJR-GARCH, TGARCH, and GARCH-MIDAS, on high-frequency USD/CHF data. Particular emphasis was placed on asymmetric models to capture volatility asymmetry.

Findings

The highest volatility occurred during the first wave of the COVID-19 pandemic. Volatility forecasts are most accurate with EGARCH and GARCH-MIDAS models that incorporate long-term asymmetry, particularly when predicting volatility over a longer planning horizon. GARCH-MIDAS models with short-term asymmetry …

Nba Player Types And Salaries: Assessing The Disparities In Pay, Nick Riccardi, Rodney J. Paul

Sport Management - All Scholarship

The purpose of this study was to identify player types that exist in the modern National Basketball Association (NBA), test whether player types are paid differently controlling for performance and other factors and construct successful rosters with cheaper payrolls.
We collected performance statistics and salary data for players and teams across five seasons (2018-19 to 2022-23). Cluster analysis is leveraged to group together player-seasons to identify the player types that exist in the NBA. Linear regression models are run to test for differences in pay by cluster membership while controlling for performance, age, and contractual details. Linear programming simulation models …

Family Ties: Nba Draft Position And Player Performance, Nick Riccardi, Rodney J. Paul

Sport Management - All Scholarship

This study aims to investigate the role, if any, that nepotism plays in the careers of players in the National Basketball Association (NBA). Career performance is compared between the 780 players drafted from 2007-2019 with familial relationships considered. Ordinary Least Squares and logistic regression models are specified to estimate the effect of having a relative on the success of an NBA player’s career. We find that siblings of NBA players earn more and reach minimum games played thresholds more often, while sons of NBA players earn more, but generally do not reach games played thresholds more often than similarly-drafted peers.

Estimating Price Responsiveness For Service Of A Luxury Transportation Company: A Zero Inflated Poisson Approach, Sydney Butenhoff

All Theses

Estimating price sensitivity is crucial for premium service providers who face inconsistent client engagement. In this study, I investigate both observed ride demand and periods of client inactivity among ABC Transfer’s customers, meaning individuals who may not book rides in a given period but are not necessarily disengaged. ABC Transfer is a luxury ground transportation firm headquartered in upstate South Carolina. Using an unbalanced panel dataset spanning 2012 to 2024, I estimate a Zero-Inflated Poisson (ZIP) model to distinguish between individuals who might still be clients from those who are not likely to be clients any longer. The model accounts …

Criminal Behavior Responses To Changing Penalties: Estimating The Impact Of Felony Theft Threshold Changes, Ezra R. Simmons

All Theses

This study estimates how criminal behavior changes in response to shifts in felony theft thresholds, contributing to broader evidence on the deterrent effects of criminal penalties. Using detailed incident-level crime reports, this study applies econometric techniques to evaluate how offenders responded to reduced penalties. Analyzed within is California’s Proposition 47, which raised the felony threshold for theft-related offenses from $450 to $950. The results show a significant increase in low-level shoplifting (approximately 21%) and more substantial rises (approximately 24% to 30%) in crimes within the threshold overlap ($450 to $950). Additionally, the value stolen in crimes below the $450 threshold …

My Performance Over Yours: Earned Entitlement, Performance, Luck, And Deservingness In Giving, Andrej Angelovski, Praveen Kujal, Jose M. Ortiz

ESI Working Papers

We study how three widely discussed cues—source of income (merit vs luck), own performance, and information about others’ work status and performance—shape redistribution. Prior to the dictator game, all 306 dictators and most of the 306 recipients complete the same real-effort matrix task in an online experiment that would yield either $4 or $1 for the dictators. In the Performance treatment the dictator’s payoff is based on their performance; in Luck, it is assigned by a 50-50 draw. We find that: (i) Earned entitlement is prevalent for high-performing dictators: they keep more for themselves; (ii) Earned entitlement is conditional …

Three Essays In The Economics Of Disagreements: Incentives, Measurement And Persistence, Mustafa W. Alam

All Dissertations

This dissertation presents three chapters that contribute to the study of economic forces shaping disagreements in society.

In Chapter 1, I demonstrate that political polarization can intensify due to innovations in the information market even if a population's ideological distribution is fixed. Viewership-maximizing news firms cater to a diverse audience who assess source accuracy using noisy private signals that vary in precision and ideological bias. If better-informed consumers disproportionately migrate to newer platforms for news (e.g., the Internet), traditional media firms increase news slant to appeal more to less-informed partisans on both sides of the ideological spectrum. This leads to …