{ "original_study": { "claim": { "hypothesis": "The entrepreneurship rate in a country is negatively associated with the country’s median age.", "hypothesis_location": "p. 154 Corollary 3; p.157 empirical implications: implication 5; also discussed in the abstract.", "statement": "A one standard deviation decrease in median age (equal to 3.5 years in 2010) results in a 2.5 percentage point increase in the entrepreneurship rate, which is over 40 percent of the mean entrepreneurship rate across countries (equal to 0.061 in 2010).", "statement_location": "p. S167, section V. Empirical Implementation (B. Country-Level Analysis); also discussed in the abstract.", "study_type": "Observational" }, "data": { "source": "entrepreneurship: Global Entrepreneurship Monitor; the GEM data is checked against: Flash Eurobarometer Survey on Entrepreneurship.\ndemographics: US Census Bureau’s International Data Base", "wave_or_subset": "2001-2010", "sample_size": "393", "unit_of_analysis": "country-year", "access_details": "GEM: Bosma, Niels, Alicia Coduras, Yana Litovsky, and Jeff Seaman. 2012. “Global Entrepreneurship Monitor Manual.” Version 2012-9 (May). Global Entrepreneurship Res. Assoc., London. no further access details are provided; \nFESE: https://dbk.gesis.org\nIDB: http://www.census.gov/population/international/data/idb/index.php", "notes": "The total number of observations is 1.3 million, the number of country-year cells is 393, and the number of country-age-year cells is 17,554. The entrepreneurship rate can be constructed at each cell level. China was excluded from the study." }, "method": { "description": "The study examines how demographic structure influences entrepreneurship, regressing country-level entrepreneurship rates on median age", "steps": "1.Get entrepreneurship data defined as managing and owning a business up to 42 months old that pays wages. Aggregate the data to construct entrepreneurship rates at the country-year level.\n2.Get population data and calculate median age for each country-year.\n3.Estimate a regression and weight observations are weighted by the number of individuals who make up each country-year cell. Include year dummies as controls. Standard errors clustered at the country level are in brackets.", "models": "ordinary least squares regression", "outcome_variable": "Entrepreneurship Rate (Early Stage, Pays Wages)", "independent_variables": "Median age (ages 20–64)", "control_variables": "year dummies", "tools_software": "not stated" }, "results": { "summary": "A one–standard deviation (3.5-year) reduction in median age raises the entrepreneurship rate by 2.5 percentage points, equivalent to roughly 40% of the sample mean (0.061) across countries.", "numerical_results": [ { "outcome_name": "Entrepreneurship Rate (Early Stage, Pays Wages)", "value": "2.5", "unit": "percentage point", "effect_size": "not stated", "confidence_interval": { "lower": "not stated", "upper": "not stated", "level": "not stated" }, "p_value": "not stated; p was not stated explicitly, but the result is calculated using the estimates from column 3 of table 2, and regression coefficients on median age there are significant at 1 percent level", "statistical_significance": "not stated; p was not stated explicitly, but the result is calculated using the estimates from column 3 of table 2, and regression coefficients on median age there are significant at 1 percent level", "direction": "negative" } ] }, "metadata": { "original_paper_id": "0022-3808/2018/126S1-0007", "original_paper_title": "Demographics and Entrepreneurship.", "original_paper_code": "not stated", "original_paper_data": "not stated" } } }