Employment Decline during the Great Recession: The Role of Firm Size Distribution

2020 ◽  
Author(s):  
Wenjian Xu
Keyword(s):  
Size Distribution ◽  
Firm Size ◽  
Great Recession ◽  
Firm Size Distribution ◽  
The Great Recession ◽  
Employment Decline

scholarly journals Large Firm Dynamics and the Business Cycle

2019 ◽  
Vol 109 (4) ◽  
pp. 1375-1425 ◽  
Author(s):  
Vasco M. Carvalho ◽  
Basile Grassi
Keyword(s):  
Business Cycle ◽  
Size Distribution ◽  
Firm Size ◽  
Large Firm ◽  
Firm Dynamics ◽  
Aggregate Fluctuations ◽  
Firm Level ◽  
Firm Size Distribution ◽  
The Business Cycle

Do large firm dynamics drive the business cycle? We answer this question by developing a quantitative theory of aggregate fluctuations caused by firm-level disturbances alone. We show that a standard heterogeneous firm dynamics setup already contains in it a theory of the business cycle, without appealing to aggregate shocks. We offer an analytical characterization of the law of motion of the aggregate state in this class of models, the firm size distribution, and show that aggregate output and productivity dynamics display: (i ) persistence, (ii ) volatility, and (iii ) time-varying second moments. We explore the key role of moments of the firm size distribution, and, in particular, the role of large firm dynamics, in shaping aggregate fluctuations, theoretically, quantitatively, and in the data. (JEL D21, D22, D24, E32, L11)

Employers and the 1881 Population Census of England and Wales

2015 ◽  
pp. 29-49 ◽  
Author(s):  
Robert J. Bennett ◽  
Gill Newton
Keyword(s):  
Systematic Error ◽  
Size Distribution ◽  
Firm Size ◽  
Extraction Method ◽  
Building Industry ◽  
Population Census ◽  
Firm Size Distribution ◽  
England And Wales ◽  
Occupational Information ◽  
First Results

This article presents the method and first results of using the 1881 England and Wales Census Enumerators' Books (CEBs) to identify and extract employer records using occupational information. Over 230,000 employers are identified, of which about four fifths employ others. Important sub-groups are also identified of the own account selfemployed, company proprietors, directors and partnerships. The article demonstrates the feasibility of the method and uses the example of the building industry to illustrate firm-size distribution at parish level across England and Wales. The paper indicates the applicability of the extraction method to other censuses, which is now possible using the recently released I-CeM database. The paper also demonstrates some difficulties in the database for 1881, including data keying and coding errors, ranging from 0.5 to 5.5 per cent of entries for larger businesses. Gender miscoding appears to be a systematic error of about 0.7 per 1,000 people. The analysis suggests that where small or atypical sample groups are involved, users of the census database should make detailed checks with manuscript CEBs.

Real Estate

2017 ◽  
Author(s):  
Stefan Homburg
Keyword(s):  
Real Estate ◽  
Great Recession ◽  
House Prices ◽  
Borrowing Constraints ◽  
Macroeconomic Models ◽  
Land Prices ◽  
The Great Recession ◽  
Quantitative Importance

Chapter 6 examines real estate as a neglected feature of actual economies. It begins with an empirical overview demonstrating the preeminent role of land as a part of nonfinancial wealth. Whereas many macroeconomic models represent nonfinancial wealth by a symbol K that is interpreted as machines and equipment (if not robots), the text makes clear that such items are of minor quantitative importance. In contemporary economies, nonfinancial wealth consists chiefly of real estate. This is the proper reason so many analysts conjecture a link between house prices and the Great Recession. Changes in house prices (primarily changes in land prices) operate on the economy through their influence on nonfinancial wealth. Nonfinancial wealth affects consumption directly and investment indirectly since it relaxes or tightens borrowing constraints. Building on the results obtained in previous chapters, the text studies housing manias and leverage cycles and relates its main findings to US data.

scholarly journals Evaluating the Effects of the Home Affordable Modification Program

2021 ◽  
Author(s):  
Richard Cóndor
Keyword(s):  
General Equilibrium ◽  
Great Recession ◽  
Heterogeneous Agents ◽  
Idiosyncratic Risk ◽  
The Great Recession ◽  
Heterogeneous Agents Model ◽  
The U.S

The Home Affordable Modification Program (HAMP) was a loan modification program introduced in 2009, in the U.S., to assist highly indebted homeowners with avoiding foreclosure. This program also encouraged private lenders to offer more sustainable modifications. This paper studies the role of HAMP in preventing higher foreclosures rates during and after the Great Recession, in the context of a general-equilibrium heterogeneous-agents model with two types of households (Borrowers and Savers), uninsurable idiosyncratic risk, and both private and HAMP modifications. The main result is that, without HAMP, the peak in the foreclosure rate could have been 50% larger (3.2 percent vs 2.2 percent in data).

The Role of Policy in the Great Recession and the Weak Recovery

2014 ◽  
Vol 104 (5) ◽  
pp. 61-66 ◽  
Author(s):  
John B. Taylor
Keyword(s):  
Economic Performance ◽  
Great Recession ◽  
Regulatory Policy ◽  
Poor Performance ◽  
Economic Policies ◽  
Slow Recovery ◽  
The Great Recession ◽  
The Past ◽  
Severe Recession

This paper reports on recent research showing that the severe recession of 2007-2009 and the weak recovery have been due to poor economic policies and the failure to implement good policies during the past decade. Monetary policy, fiscal policy, and regulatory policy became more discretionary, more interventionist, and less predictable in comparison with the previous two decades of better economic performance. At best these policies led to growth spurts, but were followed by retrenchments, averaging to poor performance. The paper also considers alternative views-that the equilibrium interest rate declined during the decade and that the seriousness of financial crisis caused the slow recovery.

Is a European “Hidden Investment State” Emerging in Spain? The Role of Instituto de Crédito Oficial

2021 ◽  
pp. 199-223
Author(s):  
Clifton Judith ◽  
Fuentes Daniel Díaz ◽  
Clara García ◽  
Ana Lara Gómez
Keyword(s):  
European Integration ◽  
Great Recession ◽  
Policy Making ◽  
Financial Information ◽  
Financial Instruments ◽  
European Level ◽  
The Great Recession ◽  
Evolving Networks ◽  
Low Levels

In the context of protracted low levels of investment following the 2008 Great Recession and, with the launch of the European Commission’s “Investment Plan for Europe,” scholars have argued a new dimension of European integration may be emerging: a “hidden investment state.” Interlocking institutions through European-level policy making, and increased and innovative loans, are interpreted as a means of setting up a multilevel infrastructure for further investment. This chapter investigates how Spain and its state-owned bank, the Instituto de Crédito Oficial (ICO), has navigated—and responded to—this changing scenario. We map evolving networks, portray ICO’s institutional trajectory, compile financial information on borrowing and loans, and categorize the financial instruments deployed, in order to assess whether ICO is becoming part of this investment state. We find that, whilst the ICO reacted vigorously to the Great Recession, since then, its activities have largely returned to pre-crisis normality. We conclude that developments around a hidden investment state in Spain are modest to date.

Growth and Firm Size Distribution

2016 ◽  
Vol 14 (2) ◽  
pp. 61-73
Author(s):  
Wei Zhang ◽  
Yan-Chun Zhu ◽  
Jian-Bo Wen ◽  
Yi-Jie Zhuang
Keyword(s):  
Size Distribution ◽  
Firm Size ◽  
Zipf’S Law ◽  
Growth Path ◽  
Firm Size Distribution ◽  
Zipf's Law ◽  
Gibrat’S Law ◽  
Gibrat's Law ◽  
Quantile Regression Method ◽  
The Relationship

Studies on the firm's size distribution (FSD) can set a good foundation to know about the growth path and mechanism of e-commerce firms. The purpose of this paper is to understand features of the China's listed e-commerce firms by testing Gibrat's law and Zipf's law within the Internet sectors. From a macroscopic perspective, with the approach of OLS estimation, Zipf's coefficient of the FSD is calculated to test whether Zipf's law holds. From a microscopic perspective, the relationship between e-commerce firm size and growth is explored by quantile regression method. The results indicate that from 2005 to 2014, Zipf's law cannot be rejected, with the relationship changing over time, Gibrat's law holds partly. It implies that competition status among China's e-commerce firms becomes more stable.

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