Econometrics Commons^™

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.

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 …

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 …

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.

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 …

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 …

Essays On Healthcare Regulation And Industrial Regulation, Vitor C. Melo

All Dissertations

The first chapter explores differences in incentives and consequent behavior between for-profit and not-for-profit firms. I investigate a terrible choice nursing homes faced during the pandemic: isolating residents prevents deaths from COVID-19, but increases non-COVID deaths by aggravating mental illnesses such as dementia. I explore how ownership structure led to differences in isolation measures taken and in resultant health outcomes. I model decisions regarding isolation measures as a trade-off between profits and satisfying staff's demands, with not-for-profit managers more constrained in how they consume profits. The model predicts that not-for-profit facilities will have more restrictive isolation measures and, consequently, lower …

Essays On The Impact Of Childbirth On Parenthood And Childcare, Titir Dey

All Dissertations

This dissertation studies the impact of childbirth and parenthood on the labor market outcomes and decisions of parents. Of the three chapters, the first two talk about how childbirth affects the labor supply decisions of the parents and the subsequent impact on earnings. The third chapter talks about the effect of disruption in the childcare arrangements on the employment outcomes of parents during the recent COVID-19 pandemic.

The first chapter measures the short- and long-run declines (penalties) in annual earnings associated with the first childbirth for parents in the United States by exploiting the heterogeneity in their gender, educational attainment …

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 …

Triple Shock On External Sustainability In Indonesia, Aloysius Deno Hervino, Insukindro Insukindro, Sekar Utami Setiastuti, Amirullah Setya Hardi

Bulletin of Monetary Economics and Banking

This study evaluates Indonesia’s external sustainability by analyzing exports, imports, and net unilateral transfer payments. The study utilizes Indonesia’s data from the third quarter of 2005 to the fourth quarter of 2019, applying both a long-run dynamic model and a short-run forward-looking model incorporating triple shocks. This research excludes the period from 2020 onwards due to the economic upheaval in Indonesia resulting from the COVID-19 outbreak. This study concludes that Indonesia’s current account is unsustainable, as neither export nor import variables exhibit a long-term link, hence failing to meet intertemporal budget constraints. Furthermore, imports substantially influence long-term exports, which increase …

Exchange Rate And Indonesia Economic Growth, Ayi Supriyadi, Yanfitri Yanfitri, Trinil Arimurti, Sinta Atharinanda

Bulletin of Monetary Economics and Banking

We examine the effect of the exchange rate on the economy and the impact of the Dominant Currency Paradigm (DCP) on Indonesia’s export volume. This study employs multiple methodologies, namely the Auto Regressive Distributed Lag (ARDL) model, the non-linear version of ARDL, and panel regressions. The findings indicated that the depreciation of the exchange rate influenced economic expansion. The beneficial effect was mitigated by the influence of finance as seen in the company’s financial sheet. The findings also indicate the influence of DCP on the volume of international trade in Indonesia.

Shutdowns And Startups: How Covid-19 Policies Shaped Entrepreneurial Trends Across U.S. States, Mia Sideris

Business and Economics Summer Fellows

The COVID-19 pandemic had an unprecedented impact on the US economy. Severe restrictions were placed on nearly every state, culminating with the declaration of a national emergency in March 2020. The intent of these restrictions was to safeguard public health, while unintentionally imposing operational burdens on businesses. This paper explores how heterogeneity in state level policy responses influenced entrepreneurial activity. Using the synthetic control method and data on mandated workplace closures, we estimate the impact of these actions on business applications per capita in the state of South Carolina, which was late to impose these measures. We find that if …

Money And Social Exclusion In Networks, Maria Bigoni, Gabriele Camera, Edoardo Gallo

ESI Working Papers

Globalization offers unparalleled opportunities to expand welfare through cooperation across large networks of unrelated individuals. Social exclusion – permanent or temporary – and monetary exchange are institutions that in theory can incentivize cooperation. In an experiment, we evaluate their relative performance and interaction in anonymous networks of different sizes. Permanent social exclusion (ostracism) reduces long-run economic potential by leading to sparse networks. Monetary exchange and temporary social exclusion perform similarly well in small networks. In large networks, however, monetary exchange is the only institution that promotes full cooperation by crowding out ostracism and keeping the network complete. An insight is …

From Disruption To Integration: Cryptocurrency Prices, Financial Fluctuations, And Macroeconomy, Zhengyang Chen

Faculty Publications

This paper examines cryptocurrency shock transmission to financial markets and the macroeconomy using a Bayesian structural VAR with Pandemic Priors from 2015 to 2024. By affecting overall risk appetite, cryptocurrency price shocks generate positive financial market spillovers, accounting for 18% of equity and 27% of commodity price fluctuations. Real economic effects are significant in driving investment but remain limited, contributing only 4% to unemployment and 6% to industrial production variance. However, cryptocurrency shocks explain 18% of price-level forecast error variance at long horizons. Narrative analysis reveals sentiment and technology as primary shock drivers. These findings demonstrate cryptocurrency's deep financial system …