Econometrics Commons^™

Modeling Inflation Expectations In Forward-Looking Interest Rate And Money Growth Rules, Zhengyang Chen, Victor J. Valcarcel

Faculty Publications

We propose a novel approach that directly embeds rational expectations (RE) into a low-dimensional structural vector autoregression (SVAR) without the need for any mapping to a dynamic stochastic general equilibrium (DSGE) model. Beginning from a fully specified “consensus” structural model, we establish an instrumental variable procedure internal to the SVAR to obtain RE-consistent structural responses to identified monetary policy shocks. Our RE-SVAR framework facilitates a comparison across two alternative monetary policy indicators that accommodate long horizons in the formation of inflation expectations in the policy rule. We construct clouds of responses of inflation and economic activity to monetary …

China’S Economic Slowdown: How Does It Affect New Zealand’S Economy?, Haven Qin

CMC Senior Theses

This paper examines the impact of China’s economic slowdown on New Zealand’s economy, focusing on sector-specific linkages across real estate, the stock market, exports, and import prices. As a small open economy, New Zealand’s deep integration with global markets makes it particularly vulnerable to external shocks from its largest trading partner. Employing OLS regression models and monthly economic data, this study reveals the nuanced pathways through which China’s economic conditions influence New Zealand. Key findings include the sensitivity of New Zealand’s housing market to Chinese property investments and Chinese stock market performance, the influence of Chinese financial market performance on …

When Consumers See It Coming: How Anticipation Affects The Domestic Cost Of Tariffs, Pierce D. Sanderson

CMC Senior Theses

Tariffs implemented by President Trump in 2018 were unexpected and significant, incurring large costs to U.S. consumers. This study examines the effect of tariff anticipation on price, quantity, and value effect on imports in the United States. Specifically, it focuses on tariffs implemented during Obama’s second term in office from 2012 to 2016 on the automotive, technology, and manufacturing industries. The findings present a significant divergence from the literature on the effects of 2018 tariffs, finding a near full pass-through of tariffs to foreign exporter prices rather than U.S. consumers. Specifically, a one percent increase in tariffs resulted in a …

Total Factor Productivity Industri Mikro Dan Kecil Di Kawasan Timur Indonesia, Marella Dea Manganti, Budyanra Budyanra

Jurnal Ekonomi dan Pembangunan Indonesia

The Micro and Small Industries (MSIs) sector, part of non-oil and gas processing industry, is a key driver of the Indonesia’s economy. However, in Eastern Indonesia (EI), the number of industries and workers in the MSIs sector does not match the level of output, unlike in Western Indonesia, where the industry is more stable and aligned. This difference is mainly due to variations in technological progress, known as Total Factor Productivity (TFP). This study analyzes TFP in the MSIs sector across provinces in EI from 2013 to 2022 using panel data regression. Results show that South Sulawesi has the highest …

Maximum Trimmed Likelihood Estimation For Discrete Multivariate Vasicek Processes, Thomas M. Fullerton Jr., Michael Pokojovy, Andrews T. Anum, Ebenezer Nkum

Mathematics & Statistics Faculty Publications

The multivariate Vasicek model is commonly used to capture mean-reverting dynamics typical for short rates, asset price stochastic log-volatilities, etc. Reparametrizing the discretized problem as a VAR(1) model, the parameters are oftentimes estimated using the multivariate least squares (MLS) method, which can be susceptible to outliers. To account for potential model violations, a maximum trimmed likelihood estimation (MTLE) approach is utilized to derive a system of nonlinear estimating equations, and an iterative procedure is developed to solve the latter. In addition to robustness, our new technique allows for reliable recovery of the long-term mean, unlike existing methodologies. A set of …

External Financing, Governance, And Infrastructure Development: Evidence From Sub-Saharan Africa, Afees Oluwashina Noah, Oladipo Olalekan David

CSID Journal of Infrastructure Development

Infrastructure development in Sub-Saharan Africa (SSA) requires diversified financing strategies to address a significant funding shortfall that cannot be met by domestic resources alone. This research evaluates the contributions of external financing—namely Official Development Assistance (ODA), Foreign Direct Investment (FDI), and Private Participation in Infrastructure (PPI)—in complementing domestic efforts to advance infrastructure in SSA. It examines their influence, alongside governance, on the development of physical and social infrastructure components. Employing methodologies such as Panel-Corrected Standard Errors (PCSE) and System Generalized Method of Moments (SGMM) across 43 SSA economies from 2000 to 2022, the analysis reveals that FDI substantially enhances physical …

The Impact Of Technological Change On Achieving Sustainable Development: Panel Data Analysis On Emerging Countries (2004-2024), Mayar Walid Al, Ahmed Tarek Ta

Future Journal of Social Science

This study examines the impact of technological change on sustainable development in five emerging economies—Egypt, China, Brazil, India, and Turkey—over the period from 2004 to 2024 (World Bank, 2020; ITU, 2022). It seeks to understand how advancements in information and communication technologies, renewable energy, and manufacturing processes shape economic, social, and environmental sustainability (Geels et al., 2017; UNEP, 2021). Using panel data analysis, the research quantifies the relationship between technological indicators, such as ICT penetration and renewable energy adoption, and sustainable development outcomes, including GDP growth, environmental health, and social inclusion (Sadorsky, 2010; Shahbaz et al., 2016).

The findings reveal …

Striking A Balance: Market Shock & Responses In Automotive Components Manufacturing, Emma Lane Mcgahey

All Theses

This thesis examines the effects of extreme market shocks on supply chain dynamics within the automotive industry. Through an analysis of demand data from an automotive manufacturer to its component suppliers (January 2018 to May 2024), the study investigates the relationship between market shocks and supply chain responses, providing insights into how auto components inventory management handles downstream responses to market shocks. With supporting public data—from FRED, BLS, and the U.S. Census Bureau resources—we explore two primary relationships: the impact of market shocks on the Average Standard Deviation of Demand (SDO) and the effect of demand variability on expedited pricing …

How Can Monetary Policy And Digitalization Enhance Economic Productivity Among Oic Members?, Basri Basri, Muhammad Akbar Ramadhani

Journal Of Middle East and Islamic Studies

Studi ini bertujuan untuk menentukan dampak suku bunga, jumlah uang beredar, dan pengembangan TIK terhadap PDB per kapita dengan menggunakan pendekatan panel heterogen dinamis (panel ARDL) pooled mean group (PMG). Temuan kami menunjukkan bahwa kebijakan moneter memainkan peran penting bagi pendapatan per kapita di seluruh negara OKI pada tingkat pendapatan yang berbeda. Bagi OKI secara keseluruhan, suku bunga memiliki dampak positif dalam jangka panjang tetapi tidak berpengaruh dalam jangka pendek. Bagi sebagian besar LMIC dan UMIC, kenaikan suku bunga cenderung meningkatkan pendapatan per kapita, sedangkan bagi sebagian besar negara LIC, hubungannya negatif. Jumlah uang beredar memiliki dampak negatif terhadap pendapatan …

A Granular Investigation On The Stability Of Money Demand, Zhengyang Chen, Victor J. Valcarcel

Faculty Publications

A large literature has shown money demand functions constructed from simple-sum aggregates are unstable. We revisit the controversy surrounding the instability of money demand by examining cointegrating income-money relationships with the Divisia monetary aggregates for the U.S., and compare them with their simple-sum counterparts. We innovate by conducting a more granular analysis of various monetary assets and their associated user costs. We find characterizing money demand with simple-sum measures only works well in a period preceding 1980. Divisia aggregates, their components, and their user costs provide a more reliable interpretation of money demand. Subsample analysis across 1980 and 2008 suggests …

The Effect Of Crime On Tourism In Indonesia, Muhammad Farhan, Hera Susanti

Journal of Strategic and Global Studies

Tourism sector is widely known as one of economic sectors that can be the engine of economic growth in an effort to reduce poverty in a country. However, growth in the tourism sector can be influenced by safety factors. Tourists tend to avoid tourism destination areas with high crime rates in order to avoid becoming victims of crime. This study aims to analyze the effect of crime on the number of tourist arrivals in Indonesia by using four proxies of crime, which are total crime rate, property crime rate, violent crime rate, and fraud crime rate. This study utilizes a …

Do Digital Payments Spur Gst Revenue: Indian Experience, Surender Kumar

Bulletin of Monetary Economics and Banking

This paper measures the effect of digital payments on enhancing goods and services tax (GST) revenue in India using monthly time-series information on tax collections and digital payments. By employing an autoregressive distributed lag cointegration framework, we find that the GST elasticity concerning digital transactions is about 0.54. The implication is that a one-standard-deviation increase in the value of digital transactions spurs GST revenue of about INR 62 billion, and a one-standard-deviation increase in index of industrial production (IIP) enhances GST revenue by about INR 8 to 12 billion. These results suggest that enhancing digital transactions is an effective way …

Impact Of Crises On Indian Financial Markets, Pami Dua, Divya Tuteja

Bulletin of Monetary Economics and Banking

We investigate the effect of crises on Indian financial markets including the short-term and medium-term money, government securities segments, equity and currency markets. Specifically, we study the effects of the COVID-19 pandemic, the Eurozone Sovereign Debt Crisis and the Global Financial Crisis on market returns, volatility and cross-correlations. We employ a (a) vector autoregressive model to analyse the effects of those shocks on returns and (b) multivariate ADCC-GARCH specification to examine the impact on conditional volatility and dynamic conditional correlation in the markets. We find significant effect of the Global Financial Crisis and the pandemic on the dynamics of the …

India And The Rest Of The World: Analyses Of International Monetary Policy Spillovers, Afees A. Salisu

Bulletin of Monetary Economics and Banking

The US is India's largest trading partner, followed by the European Union. Our study, using the GVAR model, shows that a US monetary policy (MP) shock results in a depreciation of the Indian currency vis-a-vis the dollar. This is due to Indian investors preferring to invest in the US, which provides higher returns during a US MP shock. The Eurozone MP shock does not have a significant impact due to the increasing dollarization of the Indian economy. However, the US MP shock propagation diminishes when there is economic policy uncertainty. Our findings have implications for monetary policy conduct in India.

The Relationship Between Monetary Policy And The Stock Market Cycle: An Empirical Study In Vietnam, Nhung Thuy Tran

The Indonesian Capital Market Review

The study examines the relationship between monetary policy and the stock market cycle in Vietnam. Using data from 2007 to 2022 and employing a VAR model, we estimate the impact of monetary policy factors on stock market cycle variables. The findings confirm a two-way causal relationship between monetary policy and the stock market cycle. However, the influence of cyclical fluctuations on the monetary policy transmission mechanism is weak, exhibits a lag, and predominantly occurs in the medium and long term. These results indicate that Vietnam's monetary policy requires time to absorb financial shocks and adjust to economic conditions. The study …

Value Added Tax Rate Variation, Import Demand And Sectoral Output In Nigeria, Joshua K. Nomkuha, Aondoawase Asooso, Philip T. Abachi

CBN Journal of Applied Statistics (JAS)

This study employs computable general equilibrium (CGE) model to estimate the effect of increase in value added tax (VAT), from 5 per cent to 7.5 per cent, on import demand and sectoral output in Nigeria. The study uses 2020 as the base year for the data analysis. The results show that increase in VAT affects import demand negatively, based on import penetration ratios, with mixed effect across six sectors. The implication of the result is that the VAT policy discourage consumption of foreign products, and constitute excess burden to consumers of such products in Nigeria. The results further reveal that …

Trade Liberalization, Non-Oil Export And Economic Growth In Nigeria, Jerome T. Andohol, Terhemen Tarzoor, Dennis T. Nomor

CBN Journal of Applied Statistics (JAS)

The study examines the impact of trade liberalization and non-oil exports on economic growth in Nigeria from 1986 to 2021. The study utilizes an autoregressive distributed lag model and found the combined effect of trade liberalization and non-oil exports to be positive and statistical significant. While trade liberalization alone may have negative consequences, its synergy with a robust non-oil export can drive sustainable economic growth. The study recommends that strategies to enhance non-oil exports should be encouraged to support the effectiveness of trade liberalization in promoting growth.

The Effectiveness Of Monetary Policy Transmission In Nigeria: Evidence From The Monetary Policy Rate And The Cash Reserve Ratio, Abdulrahman A. Nadani, Auwal Isah

CBN Journal of Applied Statistics (JAS)

This paper investigates the effectiveness of the Monetary Policy Rate (MPR) and Cash Reserve Ratio (CRR) as policy instruments in Nigeria. A structural VAR model is employed to simulate two distinct models measuring shocks from the MPR and the CRR using monthly data from January 2006 to December 2023. Findings show that contractionary monetary policy impulses using MPR and the CRR contract output and credit to the private sector, inflation remains largely positive in the two models, known as the “price puzzle”, but the puzzle is more persistent in the MPR equation. Moreover, shock to MPR strongly influences short-term interest …

Stock Market Volatility In The United Kingdom: Simulating Post-Covid-19 Recovery, Bala A. Dahiru, Mohammed Shuaibu, Najibullah Hassanov

CBN Journal of Applied Statistics (JAS)

This paper investigates the time it would take for the FTSE-100 index to reach its post-COVID-19 peak. The paper utilises an exponential generalised autoregressive conditional heteroscedasticity (EGARCH) model that accounts for leverage effect and asymmetries. The preferred models amongst competing variants was the Autoregressive Moving Average (ARMA)-EGARCH(2,1) specification and was used to predict daily FTSE-100 data from 5th January 2000 to 21st June 2024. The empirical exercise showed that the COVID-19-induced financial crisis negatively affected the United Kingdom’s stock market performance. The results show that the FTSE100 index could reach its post-pandemic peak around 27th August, 2024 (two months after …

Impact Of Fiscal Policy On Financial Inclusion And Development In Nigeria, Okwanya Innocent, Taiwo A. Olusegun, Aimua E. Peace

CBN Journal of Applied Statistics (JAS)

This paper examines the effect of fiscal policy on financial inclusion and development in Nigeria. The study employs the Autoregressive Distributed Lag (ARDL) model and impulse response function (IRF) to determine the extent and response of financial inclusion and development to fiscal policy changes in Nigeria. The study derives a financial inclusion index from three core indicators: access, usage and quality of financial services, while financial development is measured as the ratio of money supply to GDP (M2/GDP). The results show that government expenditure has a significant positive effect on financial inclusion and development, while tax revenue exerts a negative …

Estimating The Stability Of Okun's Law, Xinrui (Crystal) Wang, Samuel Schreyer

SACAD: Scholarly Activities

This study focuses on employing the gap version of Okun's Law, conducting regression analysis between the output gap and the unemployment gap to assess their effectiveness and long-term stability, and also estimates the significant relationship between the output gap and the unemployment gap. This study also compares the output gap dynamics during economic contractions and expansions.

Does Dollarization Have An Impact On Economic Growth?, Jorge Robinson

Research Day

Many developing and undeveloped countries, grappling with issues such as hyperinflation, corruption, high unemployment rates, poverty, and financial instability, often view dollarization as a potential solution. Dollarization involves adopting the US currency as the official or parallel currency, a strategy observed in countries like El Salvador, Ecuador, and Zimbabwe. The purpose of this research is to compare the impact of dollarization on real gross domestic product (RGDP) to that of countries that did not adopt dollarization. My results indicate that dollarization does indeed affect economic growth. These findings demonstrate that dollarized countries experience a higher percentage change in RGDP compared …

Reinvigorating Gva Nowcasting In The Post-Pandemic Period: A Case Study For India, Kaustubh Na, Soumya Suvra Bhadury, Saurabh Ghosh

Bulletin of Monetary Economics and Banking

We reinvigorate nowcasting models considering structural changes caused by the COVID-19 pandemic. It emphasizes the need to understand the heterogeneous impact of shocks on agriculture, industry, and services sectors in an emerging market economy (e.g., India). Our findings advocate a bottom-up approach that tracks sectors separately rather than a headline number. Our results suggest including digital-activity index and supply-side disruption index in the post-pandemic period could improve nowcast performance. Expectation-Maximization (E-M) algorithm is used to combine data series based on their availability. Among bridging methods, the averaging method is preferred due to its simplicity and flexibility.

Essays In Macroeconomics And Finance, Archil Dvalishvili

Dissertations, Theses, and Capstone Projects

Chapter 1: (A Quantitative Analysis of Interest on Reserves and Reserve Requirements) - I construct a medium scale DSGE model with financial frictions both on the demand (entrepreneurs) and supply (banks) sides of credit to study the costs and benefits of fixed/time-varying minimum reserve requirements and interest paid by the Fed on reserves.The results can be summarized as follows: (1) An optimal time-varying minimum reserve requirement generates substantial welfare gain when compared with a fixed minimum reserve requirement when no interest is paid on reserves. (2) Paying interest on reserves is substantially welfare inferior to a policy with no interest …

Performance And Policy Indexes In Carbon Pricing Efficacy: A Cross-Country Analysis Of Policy Impact (2012-2020), Ke (Zoky) Zhou

Honors Theses

Climate change poses a significant threat to global ecosystems and human societies, driven largely by CO2 emissions from various economic activities. This macroeconomic cross-country study empirically assesses the effectiveness of carbon pricing in reducing CO2 emissions across three periods: 2012-2017, 2015-2019, and 2015-2020. Building on the foundational research by Best et al. (2020), the analysis extends to more recent data, capturing the evolving impacts of carbon pricing amid changing global economic and policy landscapes. A key advancement in this research is the creation and integration of two comprehensive indexes—a performance index and a policy index—constructed from 14 environmental performance or …

Euro-Denominated Credit Liquidity: Tracing Cyclical Phases In Global Finance, Mateusz Mariusz Mierzejewski

Journal of Banking and Financial Economics

In the past few years, set against the backdrop of pandemic mitigation efforts and the resultant inflationary spike, the macrofinancial landscape has undergone significant transformation. The tightening of monetary policy by global central banks in response to these phenomena has notably affected global financial liquidity, particularly within the realm of foreign currency lending. This article delves into the shifts in credit liquidity, centering on the Global Liquidity Index for euro-denominated loans across European Union nations over the last two decades. Through the application of the Fourier Transform, we analyse the cyclical patterns within the index and delineate the primary phases …

Driven By Change: The Impact Of Macroeconomic Shifts And Covid-19 On New Vehicle Sales, Jackson Aldrich

CMC Senior Theses

This paper examines the impact of macroeconomic factors and the COVID-19 pandemic on new vehicle sales. In order to address these two topics, a two-pronged approach was used with separate regression models. The macroeconomic variables include monthly supply of new homes, CPI for urban public transportation, unemployment rate, disposable personal income, inflation expectation, consumer sentiment, average gas prices, and total vehicle miles traveled which were regressed on total vehicle sales from 1978-2022. The regression results confirmed and supported current literature and highlighted the importance of the housing market and unemployment rate on new vehicle sales. The COVID-19 pandemic model variables …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Modelling The Naira Exchange Rate Dependence Using Static And Time-Varying Copula, Kabir Katata

CBN Journal of Applied Statistics (JAS)

This paper examines the dependence structure of different currencies versus the Nigerian Naira using constant and time-varying copula. Daily Naira/USD, Naira/Yuan, Naira/Pound, and Naira/Euro exchange rates from 23 December 2011 to 12 May 2020 were utilised. We fitted eight constant and time-varying copula families using the exchange rate standardised residuals. The study finds that the Naira exchange rate may be estimated with student t-copula, Symmetrized Joe-Clayton (SJC), or Rotated Gumbel copula models and Autoregressive (AR)– Glosten Jagannathan RunkleGeneralized Autoregressive Conditional Heteroscedastic (GJR-GARCH) (1,1) models with skewed t residuals for margins. The Naira exchange rate returns is timevarying, tail-dependent, and asymmetric. …

External Debt Pass-Through To Inflation In Nigeria, Emmanuel A. Asue, James V. Ikyaator

CBN Journal of Applied Statistics (JAS)

This study examines external debt pass-through to inflation in Nigeria using annual data from 1981 to 2020 based on structural vector autoregressive (SVAR) model. The results reveal that an increase in external debt service leads to a significant depreciation of the exchange rate, which leads to a contemporaneous increase in inflation, while the direct response of inflation to external debt is statistically not significant. The impulse response confirms these results. The forecast error variance decomposition depicts that future values of official exchange rate depend on external debt, inflation and external debt service. The study recommends that the Nigerian government should …