Fixed Effects Estimation Of Spatial Panel Model With Missing Responses: An Application To Us State Tax Competition,
2026
Singapore Management University
Fixed Effects Estimation Of Spatial Panel Model With Missing Responses: An Application To Us State Tax Competition, Xiaoyu Meng, Zhenlin Yang
Research Collection School Of Economics
We consider estimation and inferences for general spatial panel data models with randomly missing observations on responses. It allows for unobserved spatiotemporal heterogeneity, time-varying endogenous and contextual spatial interactions, time-varying cross-sectional error dependence, and serial correlation. A general M-estimation method is proposed for model estimation and a novel corrected plug-in method is proposed for model inference. Both take into account the estimation of fixed effects. Asymptotic properties of the proposed methods are studied, and finite sample properties are investigated. An empirical application is given using U.S. state tax competition data. The proposed methods apply to matrix exponential spatial specification and …
Genuinely Unbalanced Spatial Panel Data Models: Fixed Effects M-Estimation And Inference,
2026
Singapore Management University
Genuinely Unbalanced Spatial Panel Data Models: Fixed Effects M-Estimation And Inference, Xiaoyu Meng, Zhenlin Yang
Research Collection School Of Economics
We consider spatial panel data models with genuine unbalancedness arising from the non-presence of some spatial units in certain time periods. General M-estimation methods are proposed for model estimation, which take into account the estimation of the incidental fixed effects parameters and allow for spatiotemporal heteroskedasticity and high-order time-varying spatial effects. Corrected plug-in methods are proposed for standard error estimation. The proposed estimation and inference methods are rigorously studied for their asymptotic properties and finite sample performance. An application to China’s provincial FDI inflows shows that properly accounting for genuine unbalancedness uncovers significant positive spatial spillovers that are masked when …
Protection Vs. Progression: A Macroeconomic Approach To Military Expenditure Direct Effects On Social Outcomes Using Ihdi Measures,
2026
Pepperdine University
Protection Vs. Progression: A Macroeconomic Approach To Military Expenditure Direct Effects On Social Outcomes Using Ihdi Measures, Connor Graham
Global Tides
This study examines whether military expenditure reduces inequality-adjusted human development and how national governance quality moderates these effects. Using panel data covering 121 countries from 2010-2023, two-way fixed effects models are employed to estimate the relationship between military spending and the Inequality-Adjusted Human Development Index (IHDI). Three key findings emerge from the analysis based on the resulting data. First, a one percentage point increase in military spending reduces IHDI by 0.0012-0.0015 points. Second, the effects prove seven times larger in developed countries than in developing ones, which runs contrary to expectations and prior literature. Lastly, political stability emerged as a …
Identifying Common Trend Determinants In Panel Data,
2026
Syracuse University
Identifying Common Trend Determinants In Panel Data, Yoonseok Lee, Peter C. Phillips, Suyong Song, Donggyu Sul
Center for Policy Research
This paper develops a novel method for identifying observable determinants of latent common trends in nonstationary panel data, which are typically removed or controlled in two-way fixed effects regressions. By examining cross sectional dispersion processes, we assess whether panel series exhibit distributional convergence toward specific observed time series, revealing them as long run determinants of the underlying latent trend. The approach also offers a new perspective on cointegration between time series and panel data, focusing on the relative variation of the panel data with respect to the cointegration error. Applying this method to U.S. state-level crime rates demonstrates that the …
On The Origins Of Modern East Asia: Knowledge And The Economic Transformation Of Japan And China In The Late 19th Century,
2026
Fudan University
On The Origins Of Modern East Asia: Knowledge And The Economic Transformation Of Japan And China In The Late 19th Century, Debin Ma, Jared Rubin, Weiwen Yin
ESI Working Papers
This paper revisits the old thesis of the contrasting paths of modernization between Japan and China. It develops a new analytical framework regarding the role of knowledge acquisition (propositional vs. prescriptive) and political centralization as the key drivers behind these contrasting paths. Our model and historical data highlight how the introduction of these elements contributed to Meiji Japan’s decisive turn towards the West and Qing China’s lethargic response to Western imperialism. Our analytical framework, developed from a comparative historical narrative and quantitative data, sheds new light on the importance of knowledge acquisition in enabling developing countries to reach the world’s …
Time Invariant Variables In The Mundlak And Hausman-Taylor Panel Data Models,
2026
Syracuse University
Time Invariant Variables In The Mundlak And Hausman-Taylor Panel Data Models, Badi H. Baltagi, Long Liu
Center for Policy Research
This paper shows that the classic augmented Mundlak (1978) regression yields the between estimator for time-invariant variables. It is well known that the estimates of the time varying variables yield the fixed effects estimates. While the latter are consistent for this correlated random effects model, the between estimates are not. The between estimator is consistent only when the Hausman (1978) test does not reject the null based on between versus fixed effects. An alternative modified Hausman and Taylor (1981) estimator is proposed. Monte Carlo experiments are performed to compare various estimators under a correlated random effects as well as a …
Two Special Spatial Weight Matrices And Their Effects On Estimation And Testing In Spatial Regressions,
2026
Syracuse University
Two Special Spatial Weight Matrices And Their Effects On Estimation And Testing In Spatial Regressions, Badi H. Baltagi, Long Liu
Center for Policy Research
This paper collects in one place some of the consequences of using two special spatial weight matrices in the spatial econometrics literature. The two weight matrices considered are the equal weight spatial matrix and the complete bipartite network. In particular, we summarize the effects of these special weight matrices on the statistical properties of commonly used spatial estimators as well as commonly used tests for spatial dependence.
High Dimensional Regression Coefficient Test With High Frequency Data,
2026
Singapore Management University
High Dimensional Regression Coefficient Test With High Frequency Data, Dachuan Chen, Long Feng, Per A. Myklang, Lan Zhang
Research Collection School Of Economics
This paper presents the first study on high-dimensional regression coefficient tests with high-frequency financial data. These tests allow the number of regressors to be larger than the number of observations within each estimation block and can grow to infinity in asymptotics. In this paper, the sum-type test and max-type test have been proposed, where the former is suitable for the dense alternative (many small betas) and the latter is suitable for the sparse alternative (a very small number of large betas). By showing the asymptotic independence between the sum-type test and max-type test, the paper proposes a third test – …
Bespoke Realized Volatility: Tailored Measures Of Risk For Volatility Prediction,
2026
Singapore Management University
Bespoke Realized Volatility: Tailored Measures Of Risk For Volatility Prediction, Andrew John Patton, Haozhe Zhang
Research Collection School Of Economics
Standard realized volatility (RV) measures estimate the latent volatility of an asset price using high frequency data with no reference to how or where the estimate will subsequently be used. This paper presents methods for “tailoring” the estimate of volatility to the application in which it will be used. For example, if the volatility measure will be used in a specific parametric forecasting model, it may be possible to exploit that knowledge to construct a better measure of volatility. We use methods from machine learning to estimate optimal “bespoke” RVs for heterogeneous autoregressive (HAR) and GARCH-X forecasting applications. We apply …
National Income And Marxian Categories,
2026
Bard College
National Income And Marxian Categories, Anwar Shaikh Phd
Archives of Anwar Shaikh
This collection includes.
• Shaikh, A. (n.d.). National income accounts and Marxian categories [Unpublished manuscript].
Math Appendix,
2026
Bard College
Math Appendix, Anwar Shaikh Phd
Archives of Anwar Shaikh
This collection includes:
• Shaikh, A. (n.d.). Mathematical appendix outlining use-value, value, direct prices, prices of production, and the iteration procedure [Unpublished manuscript]. Anwar Shaikh, PhD.
Behavioural And Socioeconomic Drivers Underlying Solar Adoption In Egypt’S Cairo And Giza: A Micro-Level Perspective,
2026
The British University in Egypt
Behavioural And Socioeconomic Drivers Underlying Solar Adoption In Egypt’S Cairo And Giza: A Micro-Level Perspective, Maha Elhini, Hoda Hassaballa, Rasha Hammam
Economics
Although Egypt falls within the solar belt, solar energy use on the household level remains very sparse. This research examines the factors driving and hindering households’ willingness to shift from fossil fuels to solar energy. The study evaluates the socioeconomic determinants of households’ willingness to adopt photovoltaic (PV) solar panels, based on a random distribution of 301 questionnaires in Cairo and Giza – two of Egypt’s most densely populated governorates. Two models were used─ a Logistic Model and a Structural Equations Model (SEM) that regresses the willingness to install PV panels on household characteristics. For a deeper analysis of how …
Evaluating The Role Of Bank Specific, Macroeconomic, And Institutional Factors In Determining Banking Sector Performance: Evidence From South Asian Economies,
2026
Lahore College for Women University
Evaluating The Role Of Bank Specific, Macroeconomic, And Institutional Factors In Determining Banking Sector Performance: Evidence From South Asian Economies, Samia Nasreen, Mehwish Gulzar, Xuan-Hoa Nghiem, Saira Arsh
Bulletin of Monetary Economics and Banking
This study investigates the bank-specific, macroeconomic, and institutional factors affecting the performance of the banking sector specifically profitability and stability in South Asian countries from 2011 to 2020. Using a two-step system GMM estimation method on a balanced panel dataset, the study identifies key determinants, including bank size, operating expenses, economic growth, exchange rates, and economic freedom. Institutional factors, particularly corruption, significantly influence banking sector profitability and stability. The findings offer several policy recommendations to enhance banking sector performance in the region.
Age Structure And Inflation Dynamics In Pacific Island Economies,
2026
Reserve Bank of Vanuatu, Vanuatu
Age Structure And Inflation Dynamics In Pacific Island Economies, August Letlet, Karan Rai, Bhavesh Garg
Bulletin of Monetary Economics and Banking
This study uses the panel of six Pacific Island Countries (PICs) to investigate the relationship between changing age structures and inflation. The findings suggest that both aggregated and disaggregated shares of the working-age population exert disinflationary pressure. This supports the life cycle hypothesis, which postulates that people in their productive years tend to save and produce more than they consume, fostering economic stability and managing inflation. Conversely, the findings indicate that old-age dependency contributes to inflationary pressures. These insights underscore the importance of demographic dynamics in shaping inflation trends and provide valuable guidance for policymakers aiming to maintain price stability.
Disaggregated Economic Complexity And Inflation In Oecd Countries,
2026
Benue State University, Makurdi, Nigeria
Disaggregated Economic Complexity And Inflation In Oecd Countries, Raymond L. Aor, Afees A. Salisu
Bulletin of Monetary Economics and Banking
This study probes the intricate relationship between economic complexity and inflation dynamics, an area that has been relatively under-researched despite the potential for economic complexity to predict inflation. We focus on selected OECD countries and use panel data from 1998 to 2021. Utilizing a Panel Autoregressive Distributed Lag (PARDL) model, we analyze both short- and long-term dynamics across various components of inflation. Our analysis encompasses both aggregate and disaggregated indicators of complexity, including ECI-Trade, ECI-Technology, and ECI-Research. The results indicate that the impact of economic complexity on inflation differs depending on the type of inflation and the time frame considered. …
Stated Preferences For Public Provision Of Services: Experimental Evidence From Latin America,
2026
Chapman University
Stated Preferences For Public Provision Of Services: Experimental Evidence From Latin America, Hernán Bejarano, Matias Busso, Juan Francisco Santos
ESI Working Papers
We study how individuals in six Latin American countries value public versus private provision of education and healthcare using a survey experiment. Respondents were randomly assigned to vignettes that vary income, service quality, and provider type. Reported service quality is the main driver of choices: the probability of selecting a private provider roughly doubles when reported quality of the public option falls from 80 to 20 percent, while income has a smaller effect. Higher institutional trust lowers the likelihood of switching to private providers but does not affect willingness to pay once individuals choose private provision.
Authoritarianism And Conspiracism Around The World,
2026
University of Milan-Bicocca
Authoritarianism And Conspiracism Around The World, Valerie Capraro, Folca Panizza, Joseph A. Vitriol, Mikey Biddlestone, Andrè Krouwel, Yordan Kutiyski, Alberto López Ortega, Ana Ebert, Max Wan, Praveen Kujal, Karen M. Douglas, Christopher M. Federico, Jolanda Jetten, Sander Van Der Linden, Flávio Azevedo
ESI Working Papers
Authoritarian leaders frequently deploy conspiracy narratives to justify power concentration and delegitimize opponents, yet the link between authoritarianism and conspiracism remains underresearched. Integrating data across six studies from multiple international surveys (N=63,403; 20 countries), expert-coded party systems (71 countries; 14 datasets), and longitudinal panel studies, we demonstrate that individuals with stronger authoritarian orientations are consistently more prone to conspiracism across diverse cultures, political contexts, and time. These results remain robust when controlling for populist attitudes and multiple political, psychological, and demographic variables. The link between authoritarianism and conspiracism appears to constitute a durable and generalizable psychological relationship. This may help …
New Asymptotics Applied To Functional Coefficient Regression And Climate Sensitivity Analysis,
2026
Singapore Management University
New Asymptotics Applied To Functional Coefficient Regression And Climate Sensitivity Analysis, Qiying Wang, Peter C. B. Phillips, Ying Wang
Research Collection School Of Economics
A general asymptotic theory is established for sample cross moments of nonstationary time series, allowing for long-range dependence and local unit roots. The theory provides a substantial extension of earlier results on nonparametric regression that include near-cointegrated nonparametric regression as well as spurious nonparametric regression. Many new models are covered by the limit theory, among which are functional coefficient regressions in which both regressors and the functional covariate are nonstationary. Simulations show finite sample performance matching well with the asymptotic theory and having broad relevance to applications, while revealing how dual nonstationarity in regressors and covariates raises sensitivity to bandwidth …
Existence Of Equilibrium Mechanisms In Generalized Principal-Agent Problems With Interacting Teams,
2026
Chapman University
Existence Of Equilibrium Mechanisms In Generalized Principal-Agent Problems With Interacting Teams, Brian Roberson
ESI Working Papers
We study incentive design when multiple principals simultaneously design mechanisms for their respective teams in environments with strategic spillovers. In this environment, each principal’s set of incentive-compatible mechanisms—those that satisfy their own agents’ incentive compatibility constraints— depends on the mechanisms offered by the other teams. Following a classic example by Myerson (1982), such games may lack equilibrium due to discontinuities in the correspondence of incentive-compatible mechanisms. We establish general conditions for equilibrium existence by introducing a novel approach that involves tracking both the outcome distributions along the truthful-obedient path and the sets of outcome distributions achievable through unilateral deviations, thereby …
A General Limit Theory For Nonlinear Functionals Of Nonstationary Time Series,
2026
University of Sydney
A General Limit Theory For Nonlinear Functionals Of Nonstationary Time Series, Qiying Wang, Peter C. B. Phillips
Research Collection School Of Economics
New limit theory is provided for a wide class of sample variance and covariance functionals involving both nonstationary and stationary time series. Sample functionals of this type commonly appear in regression applications and the asymptotics are particularly relevant to estimation and inference in nonlinear nonstationary regressions that involve unit root, local unit root, or fractional processes. The limit theory is unusually general in that it covers both parametric and nonparametric regressions. Self-normalized versions of these statistics are considered that are useful in inference. Numerical evidence reveals interesting strong bimodality in the finite sample distributions of conventional self-normalized statistics similar to …
